--- url: 'https://qubit.capital/blog/us-seed-weekly-funding-roundup-week-4-april-2026' title: 'US Seed Weekly Funding Roundup (Apr 18-25, 2026): $136.3M Raised Across 8 Deals' author: name: Sahil Agrawal url: 'https://qubit.capital/blog/author/sahil' date: '2026-04-25T04:18:47+05:30' modified: '2026-04-25T13:44:19+05:30' type: post summary: 'US seed-stage startups raised $136.3M across 8 deals this week, led by NeoCognition''s $40M and Pillar''s $20M a16z-led round.' categories: - Weekly Funding Roundup image: 'https://qubit.capital/wp-content/uploads/2026/04/featured-us-seed-66289.webp' published: true --- # US Seed Weekly Funding Roundup (Apr 18-25, 2026): $136.3M Raised Across 8 Deals US seed-stage founders pulled in $136.3M across 8 deals between April 18 and 25, with AI agents dominating the cap tables. Five of the eight rounds went to AI companies, and the average check size cleared $17M, well above the historical seed median. The capital concentrated around three themes: specialized agents that learn on the job, infrastructure for multi-agent systems, and AI applied to regulated workflows in finance and healthcare. The week’s seed activity sat alongside meaningful later-stage US deal flow, with Series A startups raising $33.5M across two deals and Series B+ companies pulling in $125.0M across two more. That layering matters. Investors are funding the agentic stack from research labs through commercial deployment in the same week, which suggests conviction rather than a single-stage bubble. Outsized seed rounds in this batch, several at 4x typical seed sizes, point to a market where founder pedigree and category timing are commanding scarce capital. Weekly Funding Roundup APR 18-25, 2026 $136M TOTAL RAISED 8DEALS CLOSED 100%SEED $17.0MAVG DEAL SIZE USTOP REGION BY STAGE Seed$136M100% BY SECTOR NeoCognitionAI$40M PillarFintech$20M RilianAI / cybersecurity$17.5M BANDAI infrastructure$17M CoralHealthtech$12.5M EraAI$11M Almanac HealthHealthtech$10M NavaFintech / crypto infrastructure$8.3M Table of Contents - [1. NeoCognition Raises $40M For Self-Learning AI Agents](#1-neocognition-raises-$40m-for-self-learning-ai-agents) [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. Pillar Raises $20M For AI Treasury And Risk Management](#2-pillar-raises-$20m-for-ai-treasury-and-risk-management) [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. Rilian Raises $17.5M For Agentic Defense AI](#3-rilian-raises-$17-5m-for-agentic-defense-ai) [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. BAND Raises $17M For Multi-Agent Interaction Layer](#4-band-raises-$17m-for-multi-agent-interaction-layer) [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. Coral Raises $12.5M To Automate Specialty Healthcare Admin](#5-coral-raises-$12-5m-to-automate-specialty-healthcare-admin) [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. Era Raises $11M To Build A Software Platform For AI Gadgets](#6-era-raises-$11m-to-build-a-software-platform-for-ai-gadgets) [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. Almanac Health Raises $10M For Evidence-Grounded Clinical AI](#7-almanac-health-raises-$10m-for-evidence-grounded-clinical-ai) [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. Nava Raises $8.3M For AI Financial Agent Guardrails](#8-nava-raises-$8-3m-for-ai-financial-agent-guardrails) [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. NeoCognition Raises $40M For Self-Learning AI Agents ### Deal Overview - Stage: Seed - Sector: AI - Geography: Palo Alto, United States - Round size: $40M - Valuation: Not disclosed ### Investor Profile Investor names were not disclosed in the stealth emergence announcement. The check size, $40M for a 15-person research lab, signals top-tier institutional backing typical of frontier AI labs. ### Company and Leadership CEO Yu Su is a Sloan Research Fellow who ran one of the leading AI agent labs at Ohio State University. He co-founded [NeoCognition](https://www.neocognition.ai) with Xiang Deng and Yu Gu. Most of the 15-person team holds PhDs. ### Problem and Opportunity Enterprise AI agents fail at reliability. Prompt engineering and static fine-tuning don’t produce agents that improve with use, so adoption stalls after pilots. NeoCognition is targeting buyers who need agents that get better at narrow, high-value workflows over time. ### Product and Technology The team is building expert agents that learn a world model of whatever micro-environment they operate in. Agents specialize through experience rather than retraining. Each deployment generates compounding interaction data, and the founders’ published research output doubles as a recruiting magnet. ### Use of Proceeds and Vision The $40M will fund continued research, PhD-heavy hiring, and the expert-agent platform. The vision is reliable autonomous experts for enterprise workflows, framed as specialized intelligence rather than a general-purpose frontier model. ### Market Context The AI agent market is one of the most heavily funded categories of 2026. NeoCognition sits adjacent to Adept, Imbue, Sierra, /dev/agents, and MultiOn, with continual learning as its differentiator. ## 2. Pillar Raises $20M For AI Treasury And Risk Management ### Deal Overview - Stage: Seed - Sector: Fintech - Geography: United States - Round size: $20M - Valuation: Not disclosed ### Investor Profile Andreessen Horowitz led, with Crucible Capital, Gallery Ventures, Neo, and Analog Ventures participating. Uber CEO Dara Khosrowshahi joined as an angel. The seed is roughly 4x typical size for the category, signaling strong a16z conviction in AI disruption of treasury software. ### Company and Leadership CEO Harsha Ramesh and CTO Chinmay Deshpande founded [Pillar](https://pillar.com) in 2023 to automate financial risk management for commodity-driven businesses. ### Problem and Opportunity Metals firms, food companies, and airlines manage commodity, FX, and freight exposure across spreadsheets and legacy systems that can’t read unstructured operational data. Hedging decisions lag actual exposure by days or weeks. ### Product and Technology Pillar’s AI ingests contracts, inventory feeds, and broker chats including WhatsApp messages, then autonomously builds hedge portfolios and executes trades. Each deployment compounds proprietary mappings between operational signals and hedge decisions. ### Use of Proceeds and Vision Capital funds module expansion across commodity, FX, and freight, customer acquisition in metals, food, and airline verticals, and engineering and AI talent build-out. The positioning is the AI-native treasury platform for the physical economy. ### Market Context Global commodity trade clears $20T annually. Incumbents include Bloomberg, ION, FIS Quantum, Kyriba, and bank-led OTC desks. ## 3. Rilian Raises $17.5M For Agentic Defense AI ### Deal Overview - Stage: Seed and seed extension - Sector: AI / cybersecurity - Geography: McLean, Virginia, United States - Round size: $17.5M - Valuation: Not disclosed ### Investor Profile 8VC, First In, and Tamarack Global led, with 8090 Industries, Liquid 2 Ventures, Perot Jain, and Protego Ventures participating. The investor mix tilts heavily toward defense-tech specialists. ### Company and Leadership [Rilian](https://rilian.ai) was founded in 2024 in McLean, Virginia. Early traction includes a July 2025 contract with the UAE Cybersecurity Council and partnerships with SentinelOne, Censys, and SimSpace. ### Problem and Opportunity Government and critical-infrastructure security teams operate fragmented tool stacks with no autonomous orchestration. Sovereign customers also need deployment patterns that commercial SOC products don’t support. ### Product and Technology Flagship platform Caspian delivers autonomous orchestration across existing security stacks, giving operators a single view and agentic execution. Deep tool integrations and classified-environment deployment experience create switching costs. ### Use of Proceeds and Vision Capital funds expansion across the US, GCC countries, and other allied nations, plus engineering hiring and agentic AI R&D. The bet is that agentic AI will reshape national-security operations. ### Market Context Global defense-tech VC funding hit record levels in 2025-2026. Rilian competes adjacent to Anduril, Palantir, Shift5, Dropzone AI, Prophet Security, and integrators like Booz Allen and Leidos. ## 4. BAND Raises $17M For Multi-Agent Interaction Layer ### Deal Overview - Stage: Seed - Sector: AI infrastructure - Geography: United States - Round size: $17M - Valuation: Not disclosed ### Investor Profile Investor names were not publicly disclosed. A $17M seed at this stage typically reflects strong founder pedigree and conviction-pricing from a lead with deep AI infrastructure focus. ### Company and Leadership [BAND](https://band.ai) emerged with limited public detail on founders and headquarters. The unusually large seed suggests the team has prior credibility in the agent infrastructure space. ### Problem and Opportunity Enterprise AI is shifting from single-model deployments to swarms of specialized agents. Today there’s no standard layer for agents to communicate, coordinate, and recover from coordination failures. ### Product and Technology BAND is building a multi-agent interaction layer designed to be connective infrastructure for agentic systems. Telemetry across agent-to-agent interactions could become a proprietary dataset on coordination patterns and failure modes. ### Use of Proceeds and Vision Funding will go to engineering hires, core protocol infrastructure, and early developer ecosystem programs. The positioning is TCP/IP for AI agents. ### Market Context Frameworks like AutoGen, CrewAI, and LangGraph are competing for mindshare. Outsized seed rounds in agentic infrastructure reflect investor belief that orchestration layers will capture meaningful value as enterprise AI moves to multi-agent architectures. ## 5. Coral Raises $12.5M To Automate Specialty Healthcare Admin ### Deal Overview - Stage: Seed - Sector: Healthtech - Geography: United States - Round size: $12.5M - Valuation: Not disclosed ### Investor Profile Investor names were not publicly disclosed. Seed checks of this size in healthcare AI typically come from health-focused funds plus generalist crossovers betting on AI-for-admin economics. ### Company and Leadership Founder and HQ details for [Coral](https://www.coral.health) were not publicly disclosed in available reporting. The company joins the rapidly growing AI-for-healthcare-administration cohort. ### Problem and Opportunity Specialty practices face the most complex payer rules in healthcare. Prior auths, claims processing, eligibility verification, and revenue-cycle work consume clinical and back-office staff time, and an estimated 25-30% of US healthcare spending goes to administrative overhead. ### Product and Technology Coral builds AI-powered automation for prior authorization, claims, eligibility, intake, and revenue-cycle tasks. Volume across more specialty payer-provider combinations builds proprietary datasets on payer rules, denial patterns, and successful authorization paths. ### Use of Proceeds and Vision Capital allocation was not detailed. Healthcare AI seeds at this stage typically fund engineering, payer integrations, HIPAA infrastructure, and design-partner deployments with health systems. ### Market Context Peers include Cohere Health, Anterior, Rivet, Infinitus, and Notable Health. Long enterprise sales cycles slow growth, but ROI clarity and LLM step-changes in document and voice handling keep capital flowing. ## 6. Era Raises $11M To Build A Software Platform For AI Gadgets ### Deal Overview - Stage: Seed (with $9M seed plus extension capital) - Sector: AI - Geography: United States - Round size: $11M - Valuation: Not disclosed ### Investor Profile Abstract Ventures and BoxGroup led. Both have track records funding consumer AI and platform infrastructure bets at the seed stage. ### Company and Leadership Founder and HQ details for [Era](https://era.computer) were not publicly disclosed in available reporting. The era.computer domain and gadget-platform positioning suggest an ambient or edge-AI hardware-software focus. ### Problem and Opportunity AI-native consumer hardware is emerging but every OEM is rebuilding the same software stack. Without a common platform, gadget makers can’t ship competitive AI experiences quickly. ### Product and Technology Era is building the operating layer, model routing, voice and multimodal interfaces, and developer APIs that hardware OEMs can use to ship AI-first devices. Platform deployments could yield cross-device interaction telemetry over time. ### Use of Proceeds and Vision Capital funds platform engineering, OEM partnership development, and early reference-device integrations. The vision echoes Android-for-AI-devices: infrastructure rather than a single device. ### Market Context AI-native hardware had a turbulent 2024-2025 with Humane Pin and Rabbit R1 setbacks, but model improvements are reviving the category. The platform bet sidesteps single-device risk. ## 7. Almanac Health Raises $10M For Evidence-Grounded Clinical AI ### Deal Overview - Stage: Seed - Sector: Healthtech - Geography: United States - Round size: $10M (total funding nearly $12M) - Valuation: Not disclosed ### Investor Profile F-Prime led, with General Catalyst and Lightspeed Venture Partners participating. F-Prime brings deep healthcare conviction, and General Catalyst’s clinical AI portfolio gives Almanac strong distribution leverage. ### Company and Leadership Cyril Zakka, MD, founded [Almanac Health](https://almanachealth.com). Zakka is a physician-researcher at Stanford who built the first retrieval-augmented generation system for clinical medicine. ### Problem and Opportunity Clinicians need point-of-care decision support but distrust black-box LLMs and pharma-sponsored tools. Evidence provenance and EHR integration depth are becoming the real differentiators in clinical AI. ### Product and Technology Almanac integrates directly into existing EHR systems and is grounded in peer-reviewed evidence, validated in academic medical centers, and free from pharmaceutical advertising. The RAG architecture and clinical validation partnerships create a defensible safety position. ### Use of Proceeds and Vision Funding grows a cross-functional team in clinical medicine, AI research, and health-systems infrastructure, with privacy-focused R&D. The long-term goal is the default point-of-care AI used across specialties. ### Market Context Competitors include OpenEvidence, Glass Health, Hippocratic AI, and Abridge in adjacent areas. Differentiation has shifted from raw model capability to provenance, safety, and EHR depth. ## 8. Nava Raises $8.3M For AI Financial Agent Guardrails ### Deal Overview - Stage: Seed - Sector: Fintech / crypto infrastructure - Geography: United States - Round size: $8.3M - Valuation: Not disclosed ### Investor Profile Polychain and Archetype co-led. FalconX, Hack VC, and Seed Club Ventures participated, with Sreeram Kannan from Eigen Labs among the angels. The investor base is concentrated in crypto-native infrastructure capital. ### Company and Leadership [Nava](https://nava.ai) was co-founded by Vyas Krishnan and Brianna Montgomery, who worked together at EigenLayer. ### Problem and Opportunity Autonomous AI agents are starting to move real money in DeFi and payments, but there’s no trust layer that stops them from executing transactions misaligned with user intent. ### Product and Technology Nava holds funds in escrow until an agent proposes a transaction. A verification framework determines whether the outcome will match user intent before release. Each verified transaction grows a proprietary dataset of intent-outcome alignment patterns. ### Use of Proceeds and Vision Specifics weren’t disclosed. Typical deployment goes to engineering, expanding the verification framework, and ecosystem partnerships across crypto and AI agent platforms. The vision is the safety layer underpinning agent-to-agent commerce. ### Market Context Adjacent enterprise players include CalypsoAI, HiddenLayer, and Lasso Security, with crypto-native efforts coming through Eigen, Gaia, and AltLayer. ## Lessons For Founders - Outsized seed rounds in 2026 are concentrated in agentic AI infrastructure and AI-for-regulated-workflows. If you’re in either category, raising 3-4x the typical seed is achievable with strong founder pedigree. - Research-lab credibility is pricing capital. Three of the eight deals (NeoCognition, Almanac, Rilian) are anchored in academic or government research backgrounds, and investors paid for that signal. - Vertical AI moats are increasingly about data feedback loops, not models. Pillar, Coral, and Nava all framed their data advantage as compounding per-deployment, which is what investors want to see. - Trust and verification are becoming standalone categories. Nava’s bet on agent guardrails and Almanac’s bet on evidence provenance suggest the next wave of funding will favor safety infrastructure as agent autonomy scales. - Sovereign and defense AI is a real seed market now. Rilian’s $17.5M shows that government-first agentic products can raise institutional capital at sizes once reserved for commercial enterprise SaaS.