--- url: 'https://qubit.capital/blog/us-series-a-weekly-funding-roundup-week-2-april-2026' title: 'US Series A Weekly Funding Roundup (Apr 7-14, 2026): $326.5M Raised Across 8 Deals' author: name: Sahil Agrawal url: 'https://qubit.capital/blog/author/sahil' date: '2026-04-14T06:57:02+05:30' modified: '2026-04-14T11:32:03+05:30' type: post summary: 'Eight US Series A rounds totaled $326.5M this week, led by OpenFX ($94M) and Modus ($85M). Fintech, AI, and healthtech dominated the deal flow.' categories: - Weekly Funding Roundup image: 'https://qubit.capital/wp-content/uploads/2026/04/featured-us-series-a-65724.webp' published: true --- # US Series A Weekly Funding Roundup (Apr 7-14, 2026): $326.5M Raised Across 8 Deals US Series A activity stayed hot this week, with eight companies pulling in a combined $326.5M. Two deals accounted for more than half the total: OpenFX’s $94M raise for stablecoin payment infrastructure and Modus’s $85M to build what it calls the first AI-native accounting firm. The rest of the field split across AI platforms, healthtech infrastructure, compliance automation, and small business finance. This week’s Series A cohort sits in a busy funding landscape. US seed-stage startups raised $91M across six deals during the same window, while later-stage companies pulled in $277M across four Series B+ rounds. The pattern is consistent: investors are writing checks across the stack, but the largest bets are going to companies replacing legacy infrastructure rather than building new consumer products. Weekly Funding Roundup APR 7-14, 2026 $326M TOTAL RAISED 8DEALS CLOSED MixedSTAGE $40.8MAVG DEAL SIZE USTOP REGION BY STAGE Series A$242M74% Combined Seed + Series A$85M26% BY SECTOR OpenFXFintech / Payments Infrastructure$94M ModusAI / Audit Technology$85M GlimpseAI / CPG & Retail$35M Yuzu HealthHealthtech / Insurance Infrastructure$35M AfterQueryAI / Training Data Infrastructure$30M VarianceAI / Compliance & Fraud Detection$21.5M PipeFintech / Small Business Finance$16M SimpliFedHealthtech / Maternal Care$10M Table of Contents - [1. OpenFX Raises $94M for Cross-Border Stablecoin Payments](#1-openfx-raises-$94m-for-cross-border-stablecoin-payments) [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. Modus Raises $85M to Build AI-Native Accounting Firm](#2-modus-raises-$85m-to-build-ai-native-accounting-firm) [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. Glimpse Raises $35M for AI-Powered CPG Operations](#3-glimpse-raises-$35m-for-ai-powered-cpg-operations) [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. Yuzu Health Raises $35M to Modernize Health Plan Administration](#4-yuzu-health-raises-$35m-to-modernize-health-plan-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. AfterQuery Raises $30M at $300M Valuation for AI Training Data](#5-afterquery-raises-$30m-at-$300m-valuation-for-ai-training-data) [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. Variance Raises $21.5M for AI Compliance Agents](#6-variance-raises-$21-5m-for-ai-compliance-agents) [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. Pipe Raises $16M for Small Business Embedded Finance](#7-pipe-raises-$16m-for-small-business-embedded-finance) [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. SimpliFed Raises Over $10M for Virtual Maternal Healthcare](#8-simplifed-raises-over-$10m-for-virtual-maternal-healthcare) [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. OpenFX Raises $94M for Cross-Border Stablecoin Payments ### Deal Overview - **Stage:** Series A - **Sector:** Fintech / Payments Infrastructure - **Geography:** Miami, FL - **Round Size:** $94M - **Valuation:** ~$500M ### Investor Profile Accel, Atomico, Lightspeed Faction, M13, Northzone, and Pantera co-invested. That’s a mix of enterprise-grade VCs and crypto-native capital, reflecting the deal’s position at the intersection of traditional finance and blockchain rails. Pantera’s involvement signals conviction from the most active crypto-focused institutional fund. ### Company and Leadership CEO Prabhakar Reddy co-founded and served as COO of FalconX, the crypto prime brokerage that raised $430M and hit an $8B valuation in 2022. Before FalconX, he was a VC at Accel focused on blockchain and B2B SaaS. He holds a Harvard Business School MBA. The company was founded in 2024 and previously raised a seed from Flybridge and Hash3. ### Problem and Opportunity Cross-border payments remain stuck in a $156T annual market dominated by correspondent banking. Transactions take two to five business days and cost 3-7% in fees. Financial institutions need faster, cheaper settlement, but they don’t want to handle crypto directly. ### Product and Technology [OpenFX](https://www.openfx.com) is API-first infrastructure that uses stablecoins as settlement rails without exposing either party to crypto. The pipeline collects local fiat, converts to USDC for near-instant transfer, then delivers local fiat on the other end. 98% of transactions settle in under 60 minutes at 0.01-0.3% cost. The company runs 15 active currency corridors and has grown to $45B in annualized payment volume, up roughly 10x from $4B the prior year, with 100+ institutional customers. ### Use of Proceeds and Vision Funds go toward Southeast Asia expansion, deeper Latin American corridors, and scaling from 15 to more of the 150+ global currency pairs. Long-term, OpenFX is positioning as financial plumbing for AI agents that need 24/7 machine-speed liquidity. ### Market Context Stablecoin payment rails are gaining regulatory clarity as the US stablecoin bill advances and MiCA takes effect in Europe. OpenFX competes with Ripple, SWIFT GPI, and Bridge (acquired by Stripe). The 10x volume growth in one year makes the strongest case for product-market fit. ## 2. Modus Raises $85M to Build AI-Native Accounting Firm ### Deal Overview - **Stage:** Combined Seed + Series A - **Sector:** AI / Audit Technology - **Geography:** United States - **Round Size:** $85M - **Valuation:** Not disclosed ### Investor Profile Lightspeed Venture Partners led, joined by Comma Capital and Garry Tan (Y Combinator CEO investing personally). Lightspeed has a strong record in vertical SaaS. Garry Tan’s personal check suggests conviction that this model could reshape an entire professional services category. ### Company and Leadership Three University of Pennsylvania alumni founded [Modus](https://www.modusaudit.com) in 2025: Arush Jain (CEO, AI/engineering), Pranav Pillai (accounting domain), and Vinay Kasat (M&A and operations). The team draws from Palantir, Citadel, Ramp, and Bridgewater. Advisors include Jim Burton, former Chief Auditor at Grant Thornton. ### Problem and Opportunity The US audit market exceeds $50B and employs over a million professionals. The tools haven’t changed in decades. A single engagement can take four months of manual data collection, sampling, and risk assessment. Middle-market firms are consolidating, and there’s no technology player owning the workflow end to end. ### Product and Technology Modus takes a hybrid approach: it acquires equity stakes in audit-focused accounting firms, then deploys seven proprietary AI workflows inside them. These cover automated data collection, statistical sampling, risk assessment, and processing. Its first acquired firm is a top-200 practice by Inside Public Accounting with $30M+ revenue. ### Use of Proceeds and Vision The capital goes toward acquiring more firm equity stakes and expanding the AI platform beyond its current seven workflows. Each acquisition feeds data back into the models, creating a flywheel that pure SaaS competitors can’t match. ### Market Context The PE-style acquisition model combined with AI deployment is new to the audit space. The first acquired firm is expected to more than double its organic growth rate in 2026 on the Modus platform. ## 3. Glimpse Raises $35M for AI-Powered CPG Operations ### Deal Overview - **Stage:** Series A - **Sector:** AI / CPG & Retail - **Geography:** New York, NY - **Round Size:** $35M (total raised: $52M) - **Valuation:** Not disclosed ### Investor Profile Andreessen Horowitz led, with 8VC and Y Combinator participating. a16z’s involvement brings enterprise distribution muscle and a signal that the CPG back-office is ripe for AI disruption. ### Company and Leadership [Glimpse](https://www.tryglimpse.com) was founded by Purdue alumni Akash Raju, Anuj Mehta, and Kushal Negi, all YC graduates. They originally built a startup around Airbnb product placements, then pivoted in 2024 after discovering how much time CPG brands spend on manual deductions management. ### Problem and Opportunity Retailers like Walmart and Target issue constant chargebacks and deductions against CPG brands. Most reconciliation happens in spreadsheets, costing brands 1-3% of revenue annually. It’s a $250B+ problem that software has largely ignored. ### Product and Technology AI agents log into retailer portals, centralize documents, classify deductions, validate against internal data, and file disputes automatically. The platform integrates with QuickBooks Online and NetSuite. Glimpse compresses reconciliation from weeks to days. Over 200 brand and retail partners use it, including Suave, ChapStick, and Lemon Perfect. Early adopters report up to 33x ROI. ### Use of Proceeds and Vision The team plans to expand beyond deductions into adjacent financial workflows, building toward what they call the full AI operating layer for brand-retailer interactions. ### Market Context CPG back-office automation has been underserved for years. Each new customer and retailer integration trains the classification models further, making the dataset harder to replicate over time. ## 4. Yuzu Health Raises $35M to Modernize Health Plan Administration ### Deal Overview - **Stage:** Series A - **Sector:** Healthtech / Insurance Infrastructure - **Geography:** New York, NY - **Round Size:** $35M (total raised: $40M) - **Valuation:** Not disclosed ### Investor Profile General Catalyst led, joined by Chemistry, Anthropic Anthology Fund, Bain Future Back Ventures, Timeless Ventures, Lachy Groom, and Neo. General Catalyst’s health transformation practice has backed several insurance infrastructure plays. The Anthropic Anthology Fund’s participation hints at the AI-driven claims processing angle. ### Company and Leadership [Yuzu Health](https://yuzu.health) was founded in 2022 by Max Kauderer (ex-Bain, Capital One), Ryan Lee (ex-Lithic), and Russell Pekala (Harvard Math/CS, ex-Transcend). The founding team blends healthcare strategy, fintech engineering, and data infrastructure experience. ### Problem and Opportunity Self-funded health plans cover roughly 60 million Americans, and the third-party administrators (TPAs) running them use software that’s decades old. Healthcare costs are rising at their fastest pace in 15 years. Plan designers who want to build something different are stuck on legacy systems that can’t support custom benefits or real-time processing. ### Product and Technology Yuzu built the entire TPA stack in-house: benefits configuration, claims adjudication, real-time payments with auto-ledgering, document generation with eSignature, and white-labeled portals for every stakeholder. The platform has processed over $1B in cumulative claims and operates across all 50 states serving thousands of employers. ### Use of Proceeds and Vision The funds will expand the engineering team, scale the platform nationally, and automate remaining manual workflows like stop-loss submissions and reconciliation. Yuzu sees itself as the Stripe of health insurance infrastructure. ### Market Context Legacy TPA players like Cigna’s and Aetna’s TPA arms haven’t rebuilt their core platforms in years. Yuzu’s unified data architecture across claims, payments, and member administration creates a structural moat that bolt-on solutions can’t match. ## 5. AfterQuery Raises $30M at $300M Valuation for AI Training Data ### Deal Overview - **Stage:** Series A - **Sector:** AI / Training Data Infrastructure - **Geography:** San Francisco, CA - **Round Size:** $30M - **Valuation:** $300M ### Investor Profile Altos Ventures and The Raine Group co-led, with Y Combinator and BoxGroup participating. Altos is known for patient, conviction-driven bets. The Raine Group brings deep media and technology relationships that map well to AfterQuery’s content-intensive model. ### Company and Leadership [AfterQuery](https://www.afterquery.com) was founded in January 2025 by Spencer Mateega and Carlos Georgescu. They graduated from Y Combinator’s W25 batch. In 15 months, they’ve built to $100M+ ARR. ### Problem and Opportunity AI labs have exhausted most internet-sourced training data. The next performance gains come from expert-generated reasoning data, not more web scrapes. Models trained on outputs plateau. Models trained on reasoning improve. ### Product and Technology AfterQuery runs a network of nearly 100,000 verified domain experts (doctors, lawyers, engineers, financial analysts) who generate structured reasoning data. Four product lines: supervised fine-tuning datasets with reasoning traces, reinforcement learning rubrics, custom agent environments, and computer use trajectories. Every major AI lab is a customer. ### Use of Proceeds and Vision The company plans to expand its expert network, deepen coverage across more professional domains, and develop enterprise solutions. The long-term play is encoding and scaling tacit professional knowledge that doesn’t exist anywhere online. ### Market Context At $300M on $100M+ ARR, the 3x revenue multiple is conservative for the AI infrastructure sector. AfterQuery competes with Scale AI ($13.8B valuation) and Appen, but differentiates on expert depth over crowd-worker breadth. The 15-month ramp to $100M ARR is one of the fastest in recent memory. ## 6. Variance Raises $21.5M for AI Compliance Agents ### Deal Overview - **Stage:** Series A - **Sector:** AI / Compliance & Fraud Detection - **Geography:** San Francisco, CA - **Round Size:** $21.5M (total raised: ~$26M) - **Valuation:** Not disclosed ### Investor Profile Ten Eleven Ventures led the round. Ten Eleven focuses exclusively on cybersecurity and compliance infrastructure. 645 Ventures, Y Combinator, Urban Innovation Fund, and Okta Ventures also participated. Okta’s venture arm investing here makes sense given the identity verification overlap. ### Company and Leadership [Variance](https://www.variance.com) was co-founded by Karine Mellata (CEO) and Michael Lin (CTO), who both worked on Apple’s fraud engineering team and later on trust and safety at Discord. The company (formerly named Intrinsic) graduated from YC’s Winter 2023 batch. The team is just 12 people. ### Problem and Opportunity Compliance analysts at large financial institutions spend days on investigations that require pulling evidence from dozens of fragmented systems. Meanwhile, fraudsters are using generative AI to create synthetic identities at scale. The gap between attack sophistication and defense capability is widening fast. ### Product and Technology Variance builds agentic AI that autonomously executes KYC, AML, transaction monitoring, and fraud investigations. Three technical layers power it: a Context Engine that maps data into a unified ontology, an SOP Enforcement Layer that encodes compliance procedures for auditable execution, and a Data Access Layer connected to 150+ global registries. The system processes 70M+ context signals daily and executes about 300,000 automated enforcement actions per day. It supports on-premise and air-gapped deployments. ### Use of Proceeds and Vision The capital will deepen the investigative AI infrastructure and expand relationships with financial institutions. As compliance SOPs are loaded, the enforcement layer gets more valuable over time. ### Market Context Compliance operations cost large enterprises billions annually in labor. A 12-person team processing 70M signals and 300K enforcement actions daily shows what AI-native architecture can do against a problem that legacy vendors have addressed with headcount, not automation. ## 7. Pipe Raises $16M for Small Business Embedded Finance ### Deal Overview - **Stage:** Series A - **Sector:** Fintech / Small Business Finance - **Geography:** United States - **Round Size:** $16M - **Valuation:** Not disclosed ### Investor Profile Fin Capital and MaC Venture Capital co-invested. Both firms have track records in fintech infrastructure and underserved markets. ### Company and Leadership [Pipe](https://www.pipe.com) provides revenue-based financing and embedded financial products for small businesses. The company reported that revenue nearly doubled year-over-year in Q1 2026. ### Problem and Opportunity Small businesses still struggle to access working capital quickly. Traditional lending requires extensive paperwork and weeks of waiting. Revenue-based financing aligns repayment with actual business performance, reducing risk for both sides. ### Product and Technology Pipe offers embedded financial solutions that integrate directly into the platforms small businesses already use. The revenue-based model means businesses repay as a percentage of incoming revenue rather than fixed monthly amounts. ### Use of Proceeds and Vision The raise will scale Pipe’s financing capabilities and deepen platform integrations to reach more small businesses through the channels where they already operate. ### Market Context The small business lending gap remains massive. Nearly doubling revenue YoY at the Series A stage shows the embedded distribution model is working. ## 8. SimpliFed Raises Over $10M for Virtual Maternal Healthcare ### Deal Overview - **Stage:** Series A - **Sector:** Healthtech / Maternal Care - **Geography:** New York, NY - **Round Size:** $10M+ - **Valuation:** Not disclosed ### Investor Profile Morningside led, with Hesperia Capital, Foreground Capital, and AHA Social Impact Fund participating. The presence of a social impact fund reflects the mission-driven nature of the business. ### Company and Leadership [SimpliFed](https://www.simplifed.com) is a NYC-based maternal healthcare company providing virtual breastfeeding and baby feeding support for new parents. ### Problem and Opportunity New parents often lack access to lactation support, especially outside urban centers. Hospital stays are short, follow-up care is inconsistent, and many families fall through the cracks during the critical early weeks. ### Product and Technology SimpliFed delivers virtual consultations with lactation specialists and feeding experts, accessible from home. The platform removes geographic barriers and fits into the schedules of sleep-deprived new parents. ### Use of Proceeds and Vision The funds will scale SimpliFed’s provider network and expand access to more families through health plan partnerships and employer benefits programs. ### Market Context Maternal health continues to attract venture dollars as payers recognize the downstream cost savings of early intervention. Virtual delivery makes the unit economics work in ways that in-person lactation consulting never could. ## Lessons for Founders - **Own the data loop, not just the software.** Modus acquires firms to get live audit data. Glimpse trains on every deduction processed. AfterQuery built a 100K-expert network. The companies raising the most are the ones whose products get smarter with every transaction, not just more widely deployed. - **Infrastructure replacement beats feature addition.** OpenFX, Yuzu, and Variance aren’t adding AI features to legacy systems. They’re replacing the systems entirely. Investors this week paid premiums for companies that rip and replace rather than integrate and tolerate. - **Second-time founders command outsized rounds.** OpenFX’s Reddy (ex-FalconX COO) pulled $94M. AfterQuery hit $100M ARR in 15 months. When founders bring operator credibility from a prior scaled company, investors move faster and write bigger checks. - **Twelve people can process 70 million signals a day.** Variance’s team of 12 running 300K daily enforcement actions shows that AI-native companies can reach enterprise scale with tiny teams. Headcount is no longer a proxy for capability.