--- url: 'https://qubit.capital/blog/us-series-a-weekly-funding-roundup-week-4-march-2026' title: 'US Series A Weekly Funding Roundup (Mar 16-23, 2026): $283.0M Raised Across 8 Deals' author: name: Sahil Agrawal url: 'https://qubit.capital/blog/author/sahil' date: '2026-03-23T07:02:37+05:30' modified: '2026-03-27T15:13:24+05:30' type: post summary: 'Eight US Series A rounds totaling $283M this week, led by Latent Health''s $80M clinical AI raise. Cybersecurity, fintech, climate, and healthtech deals analyzed.' categories: - Weekly Funding Roundup image: 'https://qubit.capital/wp-content/uploads/2026/03/featured-us-series-a-64560.webp' published: true --- # US Series A Weekly Funding Roundup (Mar 16-23, 2026): $283.0M Raised Across 8 Deals US Series A activity picked up this week with eight deals closing for a combined $283 million. Clinical AI and cybersecurity dominated the headlines, accounting for over 70% of the capital raised. Latent Health’s $80 million round was the largest of the batch, followed by two cybersecurity plays: Surf AI at $57 million and RunSybil at $40 million. The pattern is clear. Investors are backing AI companies that solve specific, high-cost operational problems rather than general-purpose tools. The week’s deals skewed toward companies with deep technical moats and measurable ROI stories. Three of the eight startups are tackling regulated industries where switching costs run high once you’re embedded. On the later-stage side, US Series B+ rounds this week pulled in $915 million across three deals, with Nexthop AI’s $500 million raise for AI networking infrastructure leading the pack. Across stages, US founders raised over $1.2 billion in a single week. Weekly Funding Roundup MAR 16-23, 2026 $283M TOTAL RAISED 8DEALS CLOSED 100%SERIES A $35.4MAVG DEAL SIZE USTOP REGION BY STAGE Series A$283M100% BY SECTOR Latent HealthHealthtech / Clinical AI$80M Surf AICybersecurity$57M RunSybilCybersecurity$40M Hanover ParkFintech$27M Knox SystemsCybersecurity / GovTech$25M HalcyonClimate / Energy$21M Conduit HealthHealthtech$17M SequenAI$16M Table of Contents - [1. Latent Health Raises $80M for Clinical AI](#1-latent-health-raises-$80m-for-clinical-ai) [Deal Overview](#deal-overview) - [Investor Profile](#investor-profile) - [Company and Leadership](#company-and-leadership) - [Problem and Opportunity](#problem-and-opportunity) - [Product and Technology](#product-and-technology) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision) - [Market Context](#market-context) - [2. Surf AI Raises $57M for AI Security Operations](#2-surf-ai-raises-$57m-for-ai-security-operations) [Deal Overview](#deal-overview-1) - [Investor Profile](#investor-profile-1) - [Company and Leadership](#company-and-leadership-1) - [Problem and Opportunity](#problem-and-opportunity-1) - [Product and Technology](#product-and-technology-1) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-1) - [Market Context](#market-context-1) - [3. RunSybil Raises $40M for AI Penetration Testing](#3-runsybil-raises-$40m-for-ai-penetration-testing) [Deal Overview](#deal-overview-2) - [Investor Profile](#investor-profile-2) - [Company and Leadership](#company-and-leadership-2) - [Problem and Opportunity](#problem-and-opportunity-2) - [Product and Technology](#product-and-technology-2) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-2) - [Market Context](#market-context-2) - [4. Hanover Park Raises $27M for AI-Native Fund Administration](#4-hanover-park-raises-$27m-for-ai-native-fund-administration) [Deal Overview](#deal-overview-3) - [Investor Profile](#investor-profile-3) - [Company and Leadership](#company-and-leadership-3) - [Problem and Opportunity](#problem-and-opportunity-3) - [Product and Technology](#product-and-technology-3) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-3) - [Market Context](#market-context-3) - [5. Knox Systems Raises $25M for FedRAMP Cloud Compliance](#5-knox-systems-raises-$25m-for-fedramp-cloud-compliance) [Deal Overview](#deal-overview-4) - [Investor Profile](#investor-profile-4) - [Company and Leadership](#company-and-leadership-4) - [Problem and Opportunity](#problem-and-opportunity-4) - [Product and Technology](#product-and-technology-4) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-4) - [Market Context](#market-context-4) - [6. Halcyon Raises $21M for Energy Regulatory AI](#6-halcyon-raises-$21m-for-energy-regulatory-ai) [Deal Overview](#deal-overview-5) - [Investor Profile](#investor-profile-5) - [Company and Leadership](#company-and-leadership-5) - [Problem and Opportunity](#problem-and-opportunity-5) - [Product and Technology](#product-and-technology-5) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-5) - [Market Context](#market-context-5) - [7. Conduit Health Raises $17M for Home Healthcare Coordination](#7-conduit-health-raises-$17m-for-home-healthcare-coordination) [Deal Overview](#deal-overview-6) - [Investor Profile](#investor-profile-6) - [Company and Leadership](#company-and-leadership-6) - [Problem and Opportunity](#problem-and-opportunity-6) - [Product and Technology](#product-and-technology-6) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-6) - [Market Context](#market-context-6) - [8. Sequen Raises $16M for AI Personalization](#8-sequen-raises-$16m-for-ai-personalization) [Deal Overview](#deal-overview-7) - [Investor Profile](#investor-profile-7) - [Company and Leadership](#company-and-leadership-7) - [Problem and Opportunity](#problem-and-opportunity-7) - [Product and Technology](#product-and-technology-7) - [Use of Proceeds and Vision](#use-of-proceeds-and-vision-7) - [Market Context](#market-context-7) - [Lessons for Founders](#lessons-for-founders) ## 1. Latent Health Raises $80M for Clinical AI ### Deal Overview - **Stage:** Series A - **Sector:** Healthtech / Clinical AI - **Geography:** San Francisco, California - **Round Size:** $80M - **Valuation:** Not disclosed ### Investor Profile The round was co-led by Spark Capital and Transformation Capital, with General Catalyst, Y Combinator, McKesson Ventures, and Conviction participating. McKesson is the nation’s largest pharmaceutical distributor, which signals potential downstream distribution access beyond just capital. Y Combinator backed Latent at the seed stage and doubled down here. ### Company and Leadership [Latent Health](https://www.latenthealth.com) was founded in 2022 by Sriram Somasundaram and Rishabh Jain. The company came through Y Combinator and has since grown to serve 45+ health systems, including Yale New Haven Health, UCSF Health, UCLA Health, Vanderbilt, and Mount Sinai. Over two million patients have been processed through the platform. ### Problem and Opportunity Prior authorization is one of the most expensive bottlenecks in US healthcare. Manual prior auth costs $11.33 per transaction. With AI automation, that drops to $0.87, a 92% cost reduction. For large health systems processing hundreds of thousands of authorizations per year, the savings add up to tens of millions annually. Physicians and care teams spend hours on paperwork that delays treatment, and patients wait days or weeks for approvals that should take minutes. ### Product and Technology Latent’s Clinical Reasoning Engine embeds directly into the electronic health record. It reads patient data, interprets payer drug criteria, extracts clinical evidence, and orchestrates workflows across care teams, payers, pharmacies, and patients. The system doesn’t sit outside the clinical workflow. It lives inside it. Deep EHR integration creates high switching costs, and the proprietary reasoning models trained on real-world patient data across 45+ health systems create a compounding data advantage. ### Use of Proceeds and Vision Funds will expand the health system footprint through more EHR integrations and hospital partnerships, deepen the payer-pharmacy-patient connection, and grow the engineering and clinical team. Long term, Latent aims to move beyond prior auth into formulary exceptions, step therapy, and concurrent utilization review. ### Market Context The AI in healthcare market is projected to reach $56 billion in 2026 and grow to $505 billion by 2033. Competitors include Cohere Health, Infinitus, and legacy RCM vendors, but Latent’s clinical reasoning depth and EHR-native architecture set it apart. ## 2. Surf AI Raises $57M for AI Security Operations ### Deal Overview - **Stage:** Series A - **Sector:** Cybersecurity - **Geography:** United States / Israel - **Round Size:** $57M - **Valuation:** Not disclosed ### Investor Profile Accel led the round, with Cyberstarts and Boldstart Ventures participating. Accel’s enterprise portfolio and network give Surf direct access to Fortune 500 buyers. Cyberstarts, founded by former Unit 8200 veterans, specializes in early-stage cybersecurity bets. ### Company and Leadership [Surf AI](https://www.surf.ai) was founded in September 2024 by five co-founders, led by Yair Grindlinger. Grindlinger has 20+ years in cybersecurity and co-founded FireLayers, which was acquired by Proofpoint. The company emerged from stealth on March 17, 2026, with dual operations in Tel Aviv and the US. ### Problem and Opportunity Enterprise security teams drown in alerts from dozens of tools that don’t talk to each other. The gap between identifying a risk and actually fixing it is where breaches happen. Most security operations rely on manual ticket creation, ownership assignment, and follow-up. That process is slow and error-prone. ### Product and Technology Surf builds an agentic security operations platform that ingests signals from identity systems, cloud infrastructure, HR tools, and IT management platforms. It constructs a “living context graph,” a real-time map of every asset, its owner, permissions, and dependencies. AI agents use this graph to prioritize risks by business impact and drive remediation workflows. Early results at Fortune 500 clients include recovering roughly $1 million in excess SaaS license spend and disabling thousands of dormant accounts. ### Use of Proceeds and Vision The capital will go toward product development, team expansion in engineering and enterprise sales, and scaling customer adoption. The long-term goal is a fully autonomous security operations system where AI agents handle the complete remediation lifecycle. ### Market Context The combined enterprise security operations market (SIEM, SOAR, SSPM, ITDR) represents multi-billion-dollar annual spend. Agentic AI creates a new platform opportunity on top of existing tooling. Adjacent players include Palo Alto Networks and ServiceNow Security Operations, but the agentic cybersecurity category is still early. ## 3. RunSybil Raises $40M for AI Penetration Testing ### Deal Overview - **Stage:** Series A - **Sector:** Cybersecurity - **Geography:** San Francisco and New York - **Round Size:** $40M - **Valuation:** Not disclosed ### Investor Profile Khosla Ventures led the round. Anthropic/Menlo’s Anthology Fund also participated. Khosla has a track record of backing category-defining enterprise software companies, and their willingness to sole-lead at $40 million reflects conviction in the founding team. ### Company and Leadership [RunSybil](https://www.runsybil.com) was founded in 2023 by Ari Herbert-Voss and Vlad Ionescu. Herbert-Voss was OpenAI’s first security research hire in 2019 and a core contributor to GPT-3 and Codex. Ionescu was an offensive security tech lead at Meta and a red teamer at Mandiant and NCC Group. The team includes alumni from OpenAI, Meta, Mandiant, and Trail of Bits. ### Problem and Opportunity Traditional penetration testing is periodic, expensive, and human-dependent. Most companies run pen tests once or twice a year, leaving gaps between assessments. Legacy vulnerability scanners generate floods of false positives that waste security teams’ time. ### Product and Technology Sybil is an AI agent that autonomously conducts continuous penetration tests against live applications without needing source code. It interacts through standard application interfaces like an external attacker would, discovers forgotten endpoints, probes authentication boundaries, and chains minor vulnerabilities into critical attack paths. The company claims a 90% reduction in false positives compared to legacy scanners. Customers include Cursor, Notion Labs, Turbopuffer, and several Fortune 500 companies. ### Use of Proceeds and Vision Funds will deepen engineering investment, expand security research capabilities, and accelerate go-to-market hiring. RunSybil aims to replace periodic, human-led pen tests with continuous, autonomous testing at machine speed. ### Market Context The penetration testing market is $2.72 billion in 2026, projected to hit $5.54 billion by 2031. Key competitors include Pentera ($157M raised) and Horizon3.ai ($100M+ raised). RunSybil differentiates by being fully AI-native with no human in the loop. ## 4. Hanover Park Raises $27M for AI-Native Fund Administration ### Deal Overview - **Stage:** Series A - **Sector:** Fintech - **Geography:** New York City - **Round Size:** $27M - **Valuation:** Not disclosed ### Investor Profile Emergence Capital led the round. They were early backers of Salesforce and Zoom, so they know something about backing vertical software that displaces legacy infrastructure. Lux Capital and Susa Ventures also participated. ### Company and Leadership [Hanover Park](https://www.hanoverpark.com) was co-founded by Chris Hladczuk (CEO) and Nick Puljic (CTO). They built the entire stack from scratch: general ledger, waterfall engine, investor portal, and portfolio management. The company grew from $1 billion to $15 billion in assets under administration in under 12 months. ### Problem and Opportunity Fund administration for PE and VC firms relies on legacy providers like SS&C, Citco, and Alter Domus. These firms are labor-dependent, slow to report, and running on aging technology. GPs wait weeks for basic financial data that should be available in real time. ### Product and Technology Hanover Park’s AI-native platform handles fund accounting, waterfall calculations, capital calls, cash reconciliation, LP reporting, and portfolio management. AI agents auto-categorize 90% of cash transactions. An AI co-pilot lets GPs ask questions conversationally. Human accountants review everything before delivery. The vertical integration matters: they own the full stack rather than bolting AI onto someone else’s infrastructure. ### Use of Proceeds and Vision The team will expand platform features, hire engineers and fund accountants in NYC, and scale to more PE and VC firms globally. The ambition is to replace the financial infrastructure layer beneath $100 trillion in global alternative assets. ### Market Context Global fund administration serves $100 trillion or more in alternative assets. Competitors include Allvue, Juniper Square, and Carta, but none were built AI-native from the ground up. Migrating fund books mid-lifecycle is operationally painful, which creates strong retention once a firm is onboarded. ## 5. Knox Systems Raises $25M for FedRAMP Cloud Compliance ### Deal Overview - **Stage:** Series A - **Sector:** Cybersecurity / GovTech - **Geography:** Washington, D.C. - **Round Size:** $25M - **Valuation:** Not disclosed ### Investor Profile B Capital led the round, joined by M12 (Microsoft’s venture arm), Okta Ventures, MongoDB Ventures, and Hearst Ventures. The strategic investor lineup is the story here. Microsoft, Okta, and MongoDB are also ecosystem partners, making Knox the preferred FedRAMP path for their respective customer bases. ### Company and Leadership [Knox Systems](https://www.knoxsystems.com) was founded in 2024 by Irina Denisenko, who previously scaled Class Technologies to FedRAMP ATO through multiple acquisitions. The company previously raised a $6.5 million seed led by Felicis. Total funding stands at roughly $31.5 million. ### Problem and Opportunity The US federal government spends about $100 billion per year on software, but fewer than 500 of 30,000+ commercial SaaS products are FedRAMP-authorized. Getting FedRAMP certification independently takes one to three years and costs $2 to $5 million. That locks out the vast majority of SaaS vendors from federal contracts. ### Product and Technology Knox offers FedRAMP-as-a-Service. SaaS vendors connect their codebase to Knox’s pre-authorized, FedRAMP High-listed cloud environment. The platform continuously tests and audits for compliance gaps, auto-remediating where possible. Knox claims 90 days to authorization at 90% lower cost, priced at $500K per year plus hosting. ### Use of Proceeds and Vision Capital will scale the AI-managed cloud infrastructure, accelerate authorization capacity, and grow the team. FedRAMP 20x modernization expected in H2 2026 should create a compliance surge Knox is built to handle. ### Market Context Competitors include Palantir FedStart (high cost, DoD focus) and Anitian ($71M+ raised, multi-year timelines). Knox differentiates on speed and price. The company positions itself as the “Stripe of federal compliance.” ## 6. Halcyon Raises $21M for Energy Regulatory AI ### Deal Overview - **Stage:** Series A - **Sector:** Climate / Energy - **Geography:** San Francisco, California - **Round Size:** $21M - **Valuation:** Not disclosed ### Investor Profile Energize Capital led the round, joined by Zero Infinity Partners, Congruent Ventures, Obvious Ventures, and Sabanci Climate Ventures. Energize is a specialist climate and energy fund, giving Halcyon direct access to the investor networks that allocate capital into energy infrastructure. ### Company and Leadership [Halcyon](https://halcyon.io) was founded in 2023 by Bruce Falck (CEO, formerly head of revenue product at Twitter/X), Nat Bullard (a widely respected energy analyst, formerly at BloombergNEF), and Alexander Huras (CTO). The company raised a $10.8 million seed in April 2024, bringing total funding to roughly $31.8 million. ### Problem and Opportunity Up to $850 billion is expected in US power and digital infrastructure investment in 2026 alone. Every major capital allocation decision depends on regulatory intelligence spread across 50 state public utility commissions, ISOs, RTOs, and FERC. That data is fragmented, mostly in PDFs, and nearly impossible to track comprehensively. ### Product and Technology Halcyon ingests 6 million+ regulatory documents dating to 2020, with about 50,000 new documents added monthly. Users query the corpus in natural language, get AI summaries, and set up agentic alerts for new developments. Structured data products include trackers for large load tariffs, gas power plants, battery storage, rate cases, and new substation development. ### Use of Proceeds and Vision The funds will expand software capabilities, deepen the data catalog, and scale to serve major energy investors, developers, and operators. Halcyon wants to become the intelligence layer for every energy capital allocation decision. ### Market Context Legacy energy intelligence providers include Wood Mackenzie and S&P Global Commodity Insights. None have built a regulatory-native AI layer across all 50 US states. The clean energy transition and surging AI data center power demand are structural tailwinds for this market. ## 7. Conduit Health Raises $17M for Home Healthcare Coordination ### Deal Overview - **Stage:** Series A - **Sector:** Healthtech - **Geography:** United States - **Round Size:** $17M - **Valuation:** Not disclosed ### Investor Profile Investor details were not publicly disclosed for this round. ### Company and Leadership [Conduit Health](https://www.conduithealth.com) is building a coordination platform for home healthcare equipment, streamlining how medical devices get delivered and managed for patients outside hospital settings. ### Problem and Opportunity Home healthcare is one of the fastest-growing segments of US healthcare spending, but the logistics of getting the right equipment to patients at the right time remains fragmented. Coordination between hospitals, DME suppliers, insurers, and patients involves manual processes that delay care and increase costs. ### Product and Technology Conduit’s platform connects the stakeholders involved in home medical equipment delivery, creating a single coordination layer that reduces friction and speeds up fulfillment. ### Use of Proceeds and Vision The $17 million will be used to scale the platform and expand partnerships with healthcare providers and equipment suppliers. ### Market Context The US home healthcare market is projected to grow significantly as the population ages and care shifts away from institutional settings. Equipment coordination is an unglamorous but essential piece of that puzzle. ## 8. Sequen Raises $16M for AI Personalization ### Deal Overview - **Stage:** Series A - **Sector:** AI - **Geography:** United States - **Round Size:** $16M - **Valuation:** Not disclosed ### Investor Profile Investor details were not publicly disclosed for this round. ### Company and Leadership [Sequen](https://www.sequen.ai) is building an AI personalization platform for enterprises looking to deliver tailored customer experiences at scale. ### Problem and Opportunity Enterprise personalization has been a promise for years, but most implementations are basic rules engines or segment-based targeting. True 1:1 personalization across channels remains technically difficult and expensive to build in-house. ### Product and Technology Sequen’s platform uses AI to help enterprises personalize customer interactions across touchpoints, moving beyond static segments toward dynamic, real-time personalization. ### Use of Proceeds and Vision The $16 million will fund product development and enterprise customer acquisition as Sequen scales its personalization capabilities. ### Market Context The personalization software market is growing as enterprises seek measurable ROI from their customer data investments. Incumbents like Dynamic Yield (acquired by Mastercard) and Optimizely set the benchmark, but AI-native challengers are entering with more flexible architectures. ## Lessons for Founders - **Embed, don’t bolt on.** Latent Health and Hanover Park both built AI-native platforms from scratch rather than layering AI on top of legacy systems. That approach creates higher switching costs and better product-market fit. If you’re in a regulated or operationally complex market, vertical integration is your moat. - **Strategic investors can be your distribution.** Knox Systems turned its cap table into a channel strategy. When Microsoft, Okta, and MongoDB are your investors and ecosystem partners, customer acquisition looks very different from cold outbound. Pick investors who can open doors, not just write checks. - **Credibility of the founding team still drives outsized rounds.** RunSybil raised $40 million from Khosla on the strength of a team that includes OpenAI’s first security hire and Meta’s offensive security lead. In competitive categories, the team’s track record can compress fundraising timelines and justify larger checks. - **Unsexy problems with clear ROI win funding.** Prior authorization, fund accounting, FedRAMP compliance, regulatory document search. None of these are flashy consumer products, but each has a quantifiable cost savings that makes the sales conversation straightforward. - **Cybersecurity is absorbing the agentic AI wave.** Three of this week’s eight deals were cybersecurity companies building AI agents for security operations, penetration testing, and compliance. If you’re building agentic AI, security is one of the clearest buyer categories with budget and urgency.