Clarity Pediatrics CEO and co-founder Christina LaMontagne and CMO and co-founder Dr. Alesandro Larrazabal. (Modern Healthcare Illustration/Clarity Pediatrics)

​​Over 1,600 pediatricians in California and Texas are already referring commercial and Medicaid patients to Clarity for comprehensive virtual ADHD and anxiety care.

SAN FRANCISCO--Clarity Pediatrics, the emerging telehealth leader reimagining pediatric chronic care, announced today that it has raised $14.5M in Series A funding. The funding round was led by Jackson Square Ventures and welcomed new investors City Light Capital, MassMutual Catalyst Fund II, GingerBread Capital, Scrub Capital, and Operator Collective. Existing investors, including Rethink Impact, Maverick Ventures, and Homebrew, also participated.

This investment supports Clarity Pediatrics’ planned launch of obesity services in early 2026, further development of their innovative virtual clinic platform, and continued geographic expansion to serve even more American families.

“Obesity is the fastest growing pediatric chronic condition in the US today, quadrupling in prevalence over the last 40 years. The prevalence of pediatric obesity is higher in Black and Hispanic children, especially those from low-income families covered by Medicaid,” shared Dr. Alesandro Larrazabal, co-founder and Chief Medical Officer of Clarity Pediatrics. “As a pediatrician-led organization, we're committed to equipping providers and families with evidence-based solutions that improve both access and outcomes for all children with chronic conditions. Our expansion into pediatric obesity care with this funding is the next step in this journey.”

​Over 40% of school-aged kids and adolescents manage at least one ongoing chronic condition such as asthma, obesity, or behavioral and learning challenges. Yet the demand for pediatric specialists far exceeds availability, creating widespread ripple effects for families, schools, and communities. Limited insurance coverage and long wait times further compound the problem, leaving millions of children without timely, essential care. Clarity Pediatrics addresses this pediatric chronic care gap through an innovative model that integrates personalized support, expert multi-specialty care teams, and convenient, fully insured telehealth appointments to ensure children receive the comprehensive, continuous care they need.

Clarity’s innovative care model — proven effective in ADHD and anxiety care and now poised to drive meaningful impact in pediatric obesity — delivers care grounded in the most substantial evidence from the American Academy of Pediatrics clinical guidelines. Because chronic conditions require multi-specialty expertise, families are supported throughout their treatment journey by pediatricians and specialists working at the top of their license. The model emphasizes engaging, family-centered group care, which has been shown to improve outcomes.

“Every pediatrician I have spoken with says the same thing: Clarity is delivering the gold standard of care for chronic pediatric conditions that families simply cannot access anywhere else,” said Victor Echevarria, Managing Director at Jackson Square Ventures. “That kind of direct feedback from front-line clinicians was practically all I needed to know to invest. Clarity is not offering point solutions or standalone therapy. They are building a true pediatric specialty platform that brings behavioral therapy, behavioral parent coaching, and medical oversight together in one place. Their commitment to clinical excellence, not shortcuts, is what sets them apart and what will change the trajectory of health for millions of children.”

“89% of parents who participate in our group behavioral programs said Clarity had a ‘large’ impact on their lives, and 3 in 4 families report that challenging child behaviors improved after only 8 weeks,” said CEO and co-founder Christina LaMontagne. “With a focus on early intervention and long-term support, Clarity aims to reduce symptoms, suffering, and overall healthcare costs, ultimately putting children on a healthier path for life.”

About Clarity Pediatrics
Clarity Pediatrics is transforming the pediatric specialty care journey through groundbreaking research initiatives and direct care delivery. Their tech-enabled, virtual care model is built on American Academy of Pediatrics (AAP) guidelines and brings the best of evidence-based specialty care into every home. Recommended by pediatricians and trusted by parents, Clarity Pediatrics’ innovative care model provides personalized support, an expert multi-specialty care team, and convenient telehealth appointments - all covered by insurance. Starting with ADHD, and with plans for additional chronic conditions and national expansion, Clarity serves patients in California and Texas. The company is backed by Jackson Square Ventures, Rethink Impact, Homebrew, Maverick Ventures, City Light Capital, and MassMutual Catalyst Fund. Learn more at www.claritypediatrics.com.

About Jackson Square Ventures
Jackson Square Ventures is an early-stage venture capital firm based in San Francisco. Since 2011, JSV has invested nearly $700 million in software and marketplace companies, with a portfolio that includes DocuSign, Upwork, Strava, Seismic, Artera, Cornershop, Jackbox Games, and Roo.

source[Business Wire]

DataLane, the identity graph for local businesses, today announced a $22.5 million Series A led by Amplify Partners with participation from Harry Stebbings, founder of 20VC, Basis Set, Mischief, and others.

​DataLane is building the first highly accurate identity platform for every local business in America — a LinkedIn for the offline economy — so companies like DoorDash, Square, Paychex, and Motorola can find, verify, and reach real business owners with unmatched precision.

Small businesses account for 43% of U.S. GDP, and 20+ million local businesses still operate almost entirely offline. Reaching these businesses has long been one of the most complex “last-mile” challenges in commerce. Although global spending on sales software exceeds $100 billion a year, data on local businesses is shockingly inaccurate: wrong addresses, outdated owners, missing storefronts. DataLane created the first platform that fixes this: a ‘LinkedIn for the offline economy’ that maps every physical business. Now these businesses have verified owner info, accurate addresses, and operational details to achieve accuracy and coverage never before possible.
​
“With 99% of GTM tools designed for selling to office workers, companies have been left with broken systems for reaching local businesses,” said David Patterson-Cole, co-founder and CEO of DataLane. “The challenge has never been a lack of information; it’s that the data was too messy for traditional systems to interpret. Step changes in entity resolution capabilities allowed us to build an AI engine capable of transforming messy local business data into a structured dataset that gives enterprises real-time clarity on where and how to grow.”

At the core of DataLane’s technology is a continuously updated identity graph powered by more than two billion real-time data points, the most accurate and comprehensive account-intelligence layer for the local economy. DataLane’s AI autonomously extracts, dedupes, verifies, and connects information from hundreds of sources, then delivers structured intelligence into systems like Salesforce and Snowflake. This gives enterprises a unified, accurate view of the businesses most relevant to their products and growth strategies.

“At DoorDash, we are committed to serving the unique needs of businesses in local communities,” said Jack Momeyer, Senior Director at DoorDash. “DataLane’s capabilities ensure we quickly and efficiently engage the local businesses that will benefit most from our solutions. We’re excited to work together to help merchants across the United States reach new customers with DoorDash.”

“We’ve backed some of the most transformational data and AI companies over the past decade, including Datadog, dbt, Hightouch, and Temporal. We’re excited to continue that trend by leading DataLane’s Series A,” said Mike Dauber, General Partner at Amplify Partners. “DataLane’s secret sauce is in their ability to create a proprietary data layer that maps the tens of millions of local businesses in the US.”

The DataLane founding team includes AI leaders from Meta, Uber, and Microsoft, bringing deep expertise in large-scale data systems and applied machine learning. This Series A will support product development, expand the company’s AI and engineering teams, and fuel its broader go-to-market expansion. With this round, DataLane has raised $27 million to date, including a seed led by Basis Set.

About DataLane
DataLane is building the first accurate identity graph for every local business in America — a LinkedIn for the offline economy — so companies like DoorDash, Square, and Paychex can find, verify, and reach more than 20M real business owners with unmatched precision. DataLane’s identity graph maps more than 2 billion data points to create a real-time understanding of true decision-makers with verified owner info, accurate addresses, and operational details. Founded by AI leaders from Meta, Uber, and Microsoft, DataLane has raised $27 million to date from Amplify Partners, Harry Stebbings, founder of 20VC, Mischief, Basis Set, and others. For more information, visit: www.datalane.com.

​source[citybiz]

Adaptive Security today announced it has raised an $81 million Series B funding round led by Bain Capital Ventures, with participation from NVentures (NVIDIA's venture capital arm), OpenAI Startup Fund, Andreessen Horowitz (a16z), Abstract Ventures, Capital One Ventures, and Citi Ventures. The investment is Adaptive's third financing announcement this year and brings the firm's total capital raised to $146.5 million.

​In April, the Company announced a $43 million Series A led by OpenAI Startup Fund and Andreessen Horowitz, making it OpenAI's first and only cybersecurity investment. The OpenAI Startup Fund later led an additional $12 million follow-on investment announced in September.

Adaptive's rapid fundraising activity reflects rising investor and customer concern over AI-powered cyber threats. In less than one year since its public launch in January 2025, Adaptive has grown to more than 500 enterprise customers and reports a world-class NPS score of 94. Customers include PayPal, Xerox, Bose, the National Hockey League, the Professional Golfers' Association, Figma, Ramp, Vimeo, TaylorMade Golf, and Perplexity, among others.

AI Impersonation Threats Accelerate
Adaptive was founded by Brian Long and Andrew Jones after they saw AI-enabled impersonation move quickly from a niche risk to a practical problem for companies, employees, and consumers. The two entrepreneurs, who previously founded and grew Attentive to $500 million in annual revenue, started the company because legacy security training was not built for cutting-edge generative AI deception.

"Over the past year, we have watched AI impersonations evolve from experimental to everyday," said Brian Long, CEO and co-founder of Adaptive Security. "A few seconds of audio or a short video clip is now enough for anyone to generate a convincing clone. That shift forces organizations to prepare for scenarios where even familiar voices, faces, or messages can no longer be taken at face value."

Social engineering accounts for more than 95% of successful cyber breaches and traditionally comes through email. In recent years, malicious activity over phone calls, text messages, and video chat has surged. Deepfake incidents increased 17-fold from 2023 to 2024, with more than 100,000 occurring in the U.S. alone. In 2025, Adaptive reported a rise in AI deepfake activity and said more than half of its customer discussions included reports of deepfake incidents. These incidents affect employees across all levels of an organization and increasingly affect consumers through cloned voices, fabricated videos, and personalized scams.

Deepfake Phishing Simulations and AI Security Awareness
The company uses AI to simulate deepfake and impersonation scenarios across voice calls, text messages, video and email. These simulations identify where existing controls are likely to break down and provide individualized training based on employee responses. The platform also includes automated threat triage and AI-driven executive risk scoring to help organizations identify their most exposed teams and processes.
"Our task is to give organizations clarity in a landscape that is changing extremely quickly," Long said. "The threat is evolving in real time. Our responsibility is to move at least as fast."
Leading AI Companies and Investors Support Adaptive's Approach to Next-Gen Security
With support from NVIDIA, Adaptive is advancing efforts to secure AI systems and protect the people who work with them. OpenAI Startup Fund's continued participation reflects growing attention among leading AI researchers to the security and safety implications of generative models. Together, the investors point to a widening consensus that AI impersonation is becoming a mainstream risk for businesses and consumers.
"Brian and Andrew have been longtime members of the Bain Capital Ventures portfolio spanning TapCommerce, Attentive and now Adaptive, and we have deep conviction in their ability to build and scale category-defining products," said Enrique Salem, partner at Bain Capital Ventures. "The surge in AI-enabled threat vectors has elevated human-layer security to a board-level priority, and Adaptive is emerging as the platform organizations rely on to stay ahead of these threats. We are proud to support this team as they tackle one of the most important challenges facing businesses and consumers today."

About Adaptive Security
Adaptive Security is the leading provider of AI-powered social engineering prevention solutions, specializing in protection against deepfake personas, AI-driven phishing, and multi-channel social engineering threats. By combining advanced AI simulations, real-time risk assessment, and security awareness training, Adaptive empowers organizations to proactively defend against emerging cyber threats.

For more information, visit www.adaptivesecurity.com

Media Contact:
[email protected]
​
SOURCE PR Newswire

Dux, a Tel Aviv, Israel- and NYC-based provider of an agentic exposure management platform built for the speed of AI-driven cyberattacks, raised $9m in seed funding.

The round was led by Redpoint, TLV Partners, and Maple Capital, with participation from cybersecurity executives from CrowdStrike, Okta, and Armis.
​
The company intends to use the funds to expand its R&D team in Tel Aviv, grow its U.S. go-to-market organization, and accelerate the development of the platform’s agentic capabilities across exploitability analysis, lightweight mitigation, and continuous exposure management.

Founded by Or Latovitz, Amit Nir, and Nadav Geva, Dux provides an agentic exposure management platform that uses AI-workers to perform continuous exploitability analysis, surface control-based mitigations, and accelerate remediation across the entire environment.

Dux’s AI-workers continuously analyze exploitability across the entire environment, determining whether existing controls already block a potential attack path, surfacing lightweight mitigations that can eliminate risk faster than a full patch, and routing targeted remediation to identified owners only when necessary.

source[FinSMEs]

Soverli, a Zurich, Switzerland-based cybersecurity company, raised USD 2.6m in pre-seed funding.

​The pre-seed round was led by Founderful, with participation from the ETH Zurich Foundation, Venture Kick, and other figures in cybersecurity. 

The company intends to use the funds to grow its engineering team, bring its techonology to more smartphone models, strengthen integrations with mobile device management systems, and scale partnerships with OEMs.

Led by Ivan Puddu (CEO) and Moritz Schneider (CTO), Soverli is a cybersecurity company providing a patent-pending platform that packs multiple fully isolated phones into one device. By enabling independent operating systems to run in parallel on the same smartphone alongside Android and iOS, Soverli helps enterprises, governments, financial institutions, and every consumer combine security, user freedom, and modern app ecosystems.

Developed over more than four years of research at ETH Zurich, its patent-pending methodology enables multiple operating systems (OS) to run in isolation – simultaneously – on a single device. This turns every commercial phone into sovereign infrastructure.

The first application is built for mission-critical communication. Long term, the company aims to set a new standard for how software is layered on phones, making true digital sovereignty available to everyone on every commercial smartphone.

source;[FinSMEs]

By Amit Chowdhry with Pulse 2.0
​
AIR Platforms has raised a $6.1 million seed round, co-led by Work-Bench Ventures and Lerer Hippeau, as it builds an AI-powered credit intelligence platform to deliver continuous, bias-free credit ratings for both public and private companies. The New York-based company said its goal is to replace legacy credit ratings systems with autonomous, daily evaluations of corporate financial health.

AIR said it was built by industry veterans with backgrounds at Moody’s, DataRobot, Goldman Sachs, and Morgan Stanley. The company is targeting a market where private credit has grown to more than $2 trillion globally, and where risk assessment often relies on methodologies that are inherently periodic, subjective, and slow to adjust to new information.

The company said manual workflows and backward-looking frameworks can constrain traditional credit rating approaches, while quantitative models can become stale quickly after deployment. AIR said its platform uses advanced AI trained on decades of financial and alternative data to detect early warning signals and update ratings in real time, giving banks, asset managers, and investors a more transparent view of risk across portfolios that increasingly include private assets.

AIR pointed to a recent example it says demonstrates the platform’s practical value. When First Brands, an auto parts manufacturer, defaulted in September, AIR said one of its customers had already been alerted to credit deterioration. The company said it independently assigned a rating aligned with the lower end of speculative grade, comparable to a range between CCC and CC, before broader market recognition.

AIR said it is gaining traction with financial institutions managing more than $4 trillion in assets, including CLO managers, BDCs, banks, and pension funds. The company also said Fortune 500 enterprises, including regulatory bodies, are using its tools for early warning, sensitivity analysis, portfolio stress testing, compliance support, and modernization of internal credit infrastructure.

With the seed financing, AIR said it will continue investing in product development, talent, and strategic partnerships as it works to reshape how credit risk is measured and communicated in markets where private credit exposure is increasing and real-time monitoring is becoming more critical.

KEY QUOTES:
“Legacy credit rating approaches rely on manual methodologies that are slow and reactive, while quantitative models often become outdated the moment they go into production. You compound this with bias embedded in almost every framework, and you have the same conditions that led to the financial crisis, with flawed ratings, poor underwriting, and systemic blind spots. We built AIR to supercharge an analyst’s ability to not miss anything, the equivalent of an Iron Man suit that is always on, adaptive, and constantly learning. What we have developed is an intelligent framework that keeps getting better with every signal, allowing institutions to detect and understand credit risk in real time, not months later.”

Glenn Carvajal, Co-Founder and CEO, AIR
“From the beginning, we believed this team had what it takes to change an industry. They were on the front lines during the financial crisis, working within major financial institutions and ratings agencies that saw firsthand the challenges and breakdowns in credit assessment. They understand the root causes of credit failure and are proven experts in building real AI, not science projects, having helped scale a leading AI unicorn. The traction the AIR team is experiencing from leading financial institution customers has been extraordinary, and what they have accomplished since founding AIR is nothing short of unprecedented.”

Jonathan Lehr, Co-Founder and General Partner, Work-Bench Ventures
“AIR is tackling one of the most entrenched and least modernized corners of financial infrastructure. The existing credit rating system was built for another era, one where information moved slowly and opinions carried more weight than data. AIR flips that model on its head and gives credit and risk teams superpowers: continuous ratings, full transparency, and the ability to act before anyone else. It’s a complete rethinking of how institutional risk is measured, managed, and communicated. We’re thrilled to be co-leading this round and backing a team that’s redefining the future of credit.”

Andrea Hippeau, Partner, Lerer Hippeau

source[Pulse2.0]

Michelle Lee, Ph.D., Founder & CEO, Medra

Pioneering the next era of discovery by integrating AI algorithms with robotics execution to reinvent how new medicines are designed.

​
SAN FRANCISCO--Medra, the company developing the first platform for Physical AI Scientists, today announced a $52 million Series A financing led by Human Capital, with participation from existing investors Lux Capital, Neo, and NFDG, alongside new investors Catalio Capital Management, Menlo Ventures, 776, Fusion Fund, and others.

Medra’s Physical AI autonomously runs experiments end-to-end, interfacing with standard laboratory tools and instruments and allowing scientists to adapt workflows through natural-language instructions. Its companion system, Medra’s Scientific AI, interprets results and co-pilots protocol improvements to enhance experimental outcomes and create a continuous learning engine.

“Pharma runs millions of experiments, but most of that data can’t be reused or fed back into AI. We’re closing that loop by tying predictions to outcomes in a continuous, self-improving cycle,” said Michelle Lee, Ph.D., CEO & Founder, Medra. “To accelerate drug development, we need to link predictions directly to automated execution and feed the results back into the model. This continuous loop enables drug discovery companies to run far more experiments, iterate faster, and advance therapies with a higher probability of success.”

Current AI lab alternatives tend to fall at one end of the spectrum, offering either traditional industrial automation without meaningful machine learning or AI-driven software without any robotic execution. Bringing a new medicine to market still takes 10-15 years and over $2B because discovery and preclinical work are slow, manual, and fragmented.

Subsense, a Palo Alto, CA-based developer of non-surgical invasive, nanoparticle-based brain-computer interfaces (BCIs), added $10m in funding. 

The investment, which brought total funding to $27m, came from Golden Falcon Capital. 

The company intends to use the funds to accelerate research and development in nanoparticle sensing, in vivo biosafety programs, next-generation nanoparticle design, and hardware miniaturization.

Led by Tetiana Aleksandrova, Co-founder and CEO, Subsense is a neurotechnology company developing a non-surgical, nanoparticle-based bidirectional brain-computer interface. The bidirectional BCI platform is designed to record and modulate brain activity without surgical implants. Its technology pairs engineered nanoparticles, administered nasally to cross the blood-brain barrier, with proprietary hardware and signal-processing software.

Together, these systems aim to achieve higher temporal and spatial resolution of reading and stimulation than current solutions, while also avoiding the risks and costs associated with surgically invasive electrodes or “brain chips.”

Subsense recently opened a laboratory and engineering facility in Palo Alto, California, in addition to its research collaborations across North America and Europe. Its technology portfolio spans nanoparticle chemistry, magnetic signal transduction, and proprietary neural decoding algorithms aimed at safe, reversible, and high-fidelity brain data capture. 

source[FinSMEs]

Kilo Code, a San Francisco, CA-based open source coding agent services provider, raised $8M in Seed funding.
​
​The round was led by Cota Capital with participation from Breakers, General Catalyst, Quiet Capital, and Tokyo Black.
The company intends to use the funds to expand operations and its development efforts.

Co-founded by Scott Breitenother, founder of Brooklyn Data, and Sid Sijbrandij, Kilo is the all-in-one, agentic platform for software developers. Kilo’s mission is to bring Kilo Speed to agentic engineering. Engineers ship faster when their tools work with them, not against them.

source[FinSMEs]

A Star for a Storyteller Who Moved the World
Chadwick Boseman’s star ceremony was filled with emotion as his family, artistic partners, and fans paid tribute to a man whose work reshaped modern cinema and uplifted millions. From Black Panther’s King T’Challa to his electric portrayals of historical icons like Jackie Robinson and James Brown, Boseman’s career was defined by roles that carried depth, dignity, and purpose.

His widow, Simone Ledward-Boseman, accepted the honor on his behalf, speaking to his commitment to truth, representation, and the power of storytelling. Director Ryan Coogler and actress Viola Davis, both long-time collaborators, shared personal memories that resonated deeply with those present — reflections on Chadwick’s discipline, compassion, and unwavering belief in elevating the voices of his community.

Quanta, a San Francisco, CA-based provider of an accounting platform for startup finances, raised $15M in Series A funding.
​​
The round was led by Accel, with participation from Operator Collective, Naval Ravikant, Designer Fund, Basecase, and operators including Akshay Kothari (Notion), Claire Hughes Johnson (Stripe), and Huey Lin (Affirm).

​The funding coincides with the launch of Prism, the new AI-powered reporting layer of the Quanta platform.
The company intends to use the funds to invest in its accounting engine, expand its expert services team, and accelerat development of Prism’s intelligence layer.

Led by CEO Helen Hastings, Quanta is a provider of an AI-powered finance platform that combines an automated accounting engine with an in-house accounting team. It ingests financial activity from banks, payroll, revenue, and spend systems and keeps the books continuously reconciled and up-to-date.

The company says that companies use it to maintain accurate books throughout the month, shorten their close, and operate with live data they can trust.

source[FinSMEs]

Curi Bio, a Seattle, WA-based company delivering human-relevant functional data for drug discovery and development, raised $10M in Series B funding.
​
The round was led by DreamCIS.

The company intends to use the funds to accelerate the development of new platforms for cardiac, skeletal muscle, metabolic, smooth muscle, and neuromuscular diseases and expand its commercial reach across the globe.

Led by CEO and PhD Nicholas A. Geisse and CBO Elliot Fisher, Curi Bio generates novel workflows and delivers functional human data to inform biopharmaceutical R&D decision making. Through an integrated platform featuring advanced 3D tissue models of disease, biosystems enabling clinically relevant functional analyses, and advanced automated data analysis, it enables functional and analytical assessments for drug safety, efficacy, and potency.

The three-pronged platform strategy integrates:

• human cells:
• advanced systems;
• advanced data analysis.

source[FinSMEs]

Zafran Security, a NYC-based AI-native Threat Exposure Management company, raised $60m in Series C funding.

The round, which brought total funding to $130m, was led by Menlo Ventures, with participation from existing investors Sequoia Capital and Cyberstarts, in addition to PSP Growth, Vintage Investment Partners, and Knollwood Investment.

The company intends to use the funds to accelerate product innovation and global expansion. 

​Led by Sanaz Yashar, CEO, Zafran Security is an AI-native end-to-end Threat Exposure Management platform for security teams to stop vulnerability exploitation everywhere. The company uses existing security tools to prove that 90% of critical vulnerabilities are not exploitable, then quickly remediates and mitigates the 10% that are most likely to cause an incident.

By launching Agentic Exposure Management, Zafran is now poised to complete the entire end-to-end lifecycle across asset inventory, vulnerability detection, risk assessment, and autonomous remediation workflows. 

Since their last funding round, the company has doubled its valuation and more than tripled its annual recurring revenue (ARR), driven by rapid adoption across sectors including healthcare, technology, financial services, and manufacturing. Zafran now serves multiple Fortune 500 enterprises.
​
FinSMEs

Nevis, a NYC-based provider of an AI platform for wealth management, raised $35M in Series A funding.

The round was led by Sequoia Capital, ICONIQ, and Ribbit Capital.

The raise brought the total amount to $40M, following a $5M seed round which was led by Sequoia.

As part of the round, Sequoia’s Luciana Lixandru joined the Nevis board.

The company intends to use the funds to expand operations and its development efforts.

Nevis was founded by Mark Swan (CEO), Philipp Burda (CPO), and Ivan Chalov (COO), Nevis AI tools that help financial advisors automate their administrative workflows end-to-end, helping wealth management firms serve more clients.

Customers include wealth management firms of all sizes, from national RIAs serving high-net-worth clients like United Capital and Apollon Wealth Management, to firms focused on ultra-high-net-worth families like GC Wealth.

source[FinSMEs]

Jeeva AI, a San Francisco, CA-based provider of an AI platform that enhances productivity for sales teams, raised $9m in funding.
​
​The round was led by JLL Spark with participation from Sapphire Ventures, Alt Capital (Jack Altman, Sam Altman’s brother), Launch Capital, GTMFund, Nonstop Capital, Coyote Capital, Bonfire Ventures, Techstars, Marc Benioff, and Mucker Capital.

The company intends to use the funds to expand operations and its development efforts.

Led by Gaurav Bhattacharya, founder and CEO, Jeeva AI is an agentic system that automates end-to-end sales workflows across discovery, outreach, coaching, notes, and CRM management so teams can focus on the call.

The company is already serving 35,000 users across more than 300 enterprise customers including JLL, Whisper Energy, Initio Capital, and Deaglo.

FinSMEs

• Saudi Arabia-based proptech Mnzil has raised $11.7 million in a Series A round led by the US-based Founders Fund, in its first-ever investment in Saudi Arabia, with participation from COTU Ventures.
• Founded in 2024 by Abdulmajeed Al-Babtain and Abdulrahman Al-Shaya, Mnzil provides end-to-end worker-housing solutions.
• With the new investment, Mnzil will continue scaling its operational footprint, including the development of a 22,000-sqm site slated for six new worker-housing buildings, in partnership with local landowners to strengthen Saudi Arabia’s labour-accommodation infrastructure.

Press release:
Mnzil, the Saudi proptech for labour housing solutions, has raised over $11.7 million (SAR 44 million) in a Series A round led by Founders Fund, marking the US fund’s first-ever investment in Saudi Arabia, with participation from COTU Ventures.

Founded in 2024 by Abdulmajeed Al-Babtain and Abdulrahman Al-Shaya, Mnzil has rapidly expanded its footprint across more than 13 cities, delivering integrated housing solutions tailored to the needs of companies across multiple sectors. The company now serves over 100 corporate clients, including Smasco, EFSIM, Barq, and Sixt, through an operational network of 60+ fully equipped buildings that meet high standards of comfort and safety — redefining the worker-housing experience in the Saudi market.

Mnzil also announced the development of a 22,000-sqm site to build six new workforce-housing buildings, in partnership with local landowners, as part of its strategy to expand and upgrade Saudi Arabia’s labour-accommodation infrastructure.
​
The participation of Founders Fund marks a significant milestone for the Saudi startup ecosystem, signalling growing international investor confidence in the Kingdom’s rapidly transforming service and infrastructure sectors under Vision 2030.

​source[wamda]

Evidium, a San Francisco, CA-based healthcare AI company, raised $22M in Funding.
​
The round was led by Health2047, and WGG Partners, with participation from x.AI, Perplexity, Innovaccer, Interwoven Ventures and Mindset Ventures.

The company intends to use the funds to accelerate product development, expands its clinical modeling capabilities, and scales go-to-market operations.

Led by CEO and Founder Carl Bate, Evidium provides a platform that offers multiple precision products, each addressing specific stakeholder needs. Its precision products today include quality insights for clinicians and care teams, as well as probabilistic forecasting for medical risk bearing organizations including insurers, health plans, and integrated delivery networks (“payviders”).

The company says that its products allow stakeholders to better understand each condition and the associated care journey and cost.

source[FinSMEs]

London-based startup Monq has come out of stealth, raising $3 million in pre-seed funding to launch its AI-powered strategic negotiation platform.
​
The round was led by Outward VC, with participation from Cornerstone VC, Portfolio Ventures, Octopus Ventures, Endurance Ventures, Lakestar Halo, and several strategic angel investors.

Founded in April by Revolut and Deutsche Bank alumni Yasin Bostancı and Duygu Gözeler Porchet, Monq tackles a key inefficiency in enterprise operations: optimizing how global corporations negotiate high-stakes deals.

High-value supplier contracts, ranging from $1 million to $100 million are critical for enterprises across sectors like manufacturing, technology, logistics and professional services. Despite representing a $10.4 trillion market, strategic procurement remains largely manual, with nearly 25% of time spent on low-value tasks and decisions often driven by intuition rather than data.

​Many current technology solutions merely add AI to existing processes rather than transforming how procurement teams work.

Monq’s multi-agent AI system uses LLM-based reasoning, contract intelligence, and behavioral science to assist not replace human decision-making. Each agent analyzes deal history, supplier performance, and negotiation patterns to predict responses, suggest levers and, when authorized, manage deals autonomously. Teams maintain control, delegating as desired, and focus on high-value strategy.

Yasin Bostancı, Monq’s co-founder and CEO, highlighted that strategic procurement has lagged in automation adoption, as it still depends largely on human intuition rather than data-driven, automated processes.

By empowering procurement teams with strong, actionable, data-driven and intelligent insights, we’re giving enterprises the speed, clarity and confidence to negotiate at a new scale while unlocking billions in hidden deal flow, value and efficiency before that value is lost to the company.

The funding will help Monq scale its pilot programs, expand operations, and build dedicated engineering and product teams across the EU, US, and Middle East. The company is launching with a subscription model and plans to explore value-based pricing, where clients pay a percentage of savings achieved using its platform.

About Monq
Monq, founded in 2025 automates high-value, low-volume enterprise negotiations. Its AI agents combine market intelligence with human-like reasoning to optimize deals end-to-end, from opportunity analysis to contract execution, helping businesses negotiate smarter, faster, and more profitably while turning every negotiation into a strategic advantage.

SubImage, a San Francisco, CA-based company bringing an open-core cloud security graph to the enterprise, raised $4.2M in seed funding.

​​Backers included FundersClub, Y Combinator, Phosphor Capital, and Transpose Platform.

The company will be using the funds to grow its engineering team, expand customer pilots, and ship new features.

Co-founded by Alex Chantavy and Kunaal Sikka, who both worked on security teams across government, enterprises, and hypergrowth startups, SubImage brings an open-core cloud security graph to the enterprise. It maps an entire infrastructure so users know exactly what’s exposed, misconfigured, or needs attention first. Security teams use it to fix vulnerabilities, identify ownership, and respond to incidents faster.

source[FinSMEs]

Clover Security, a Tel Aviv, Israel-based product security company, raised $36M in funding.

The round was led by Notable Capital and Team8 with participation from SVCI, Wiz co-founders Assaf Rappaport and Yinon Costica, Shlomo Kramer of Cato Networks, Rene Bonvanie, and executives from Snyk, CrowdStrike, Palo Alto Networks, Atlassian, and Google.

The company intends to use the funds to expand its product and its go-to-market efforts.

Founded by Alon Kollmann and Or Chen, Clover Security embeds AI agents into tools such as Confluence, Jira, GitHub, Cursor, and Slack to detect design flaws early and enable developers to build securely from the start.
Its AI agents replicate the thinking of experienced security engineers, understand how systems behave, anticipate where security flaws can show up, and apply security principles long before development begins.

Clover is already deployed at companies across banking, enterprise technology, and fintech, including Fortune 500 companies. Its customer base includes Udemy, ServiceTitan, Lemonade, PROS, and Virgin Money, as well as private innovators such as Plaid, Notion, Neo4j, and Lead Bank.

The company promises that security teams are relieved from repetitive manual work, while developers receive real-time security feedback within their everyday workflows.

source [FinSMEs]

Interface, a San Francisco-based provider of an AI powered industrial safety platform for most critical industries, such as energy and chemicals, raised $3.5M in Seed funding.

Backers included defy.vc, Precursor Ventures, and Rock Yard Ventures, along with some angel investors such as Meta board member Charlie Songhurst.

The company is already working with large energy companies in the US and Canada, and recently started talks to expand its presence to producers in Guyana and Brazil as it scales across the Americas.

Co-founded by Thomas Lee Young, and Aaryan Mehta, Interface provides an AI powered platform that plugs into existing systems, cross-checks standards, and gives operators a safety copilot that cuts document review time unplanned downtime and regulatory exposure.

source[FinSMEs]

Deduction, a US-based FinTech specialising in AI-driven tax automation and human-CPA-supported services, has launched “Taylor, CPAI,” which it describes as the first AI tax accountant designed specifically for consumers.

The company has emerged from stealth alongside a $2.8m pre-seed funding round led by One Way Ventures and Creator Ventures, with participation from Alpine VC, Intuition, Charley Moore of Rocket Lawyer, and angel investors from OpenAI and Robinhood.

The launch of Taylor, CPAI comes as Deduction seeks to transform the way everyday taxpayers access accounting support. The company aims to bridge the gap between rising tax complexity and the growing shortage of CPAs, while offering a faster, more affordable alternative to traditional accountants.

The FinTech currently helps consumers communicate with Taylor, CPAI via call, text, chat, or email without the need for an app or lengthy questionnaires. The system automates document collection, proactive planning, return generation, and financial Q&A, while ensuring all critical steps are reviewed by human professionals.

Taylor, CPAI offers users fast answers, compliant filings, and proactive tax optimisation. It also identifies deductions and credits, sources documents such as W2s and 1099s, reads a wide variety of financial forms, and tracks tax-related events including RMDs and option exercises. All filings are overseen by licensed CPAs, and the platform includes a 100% guarantee against interest and penalties.

Deduction co-founder and CEO Sai Dhanak said, “Most AI tax tools are B2B, and focus on software for accountants and increasing margins. We built Deduction to radically improve the end-customer experience. With Taylor, CPAI, anyone can have a personal accountant, without the wait, the paperwork, or the high expense.”
Deduction co-founder and CTO Jonathank Kieliszak said, “The big consumer AI tools largely cater to users with very generalized tasks and needs. But a great accountant is highly specialized, refined and experienced, which is why Taylor is built alongside our human CPA team with specific guardrails and information sources to deliver trustworthy tax support.”

source [Fintech Global]