--- url: 'https://qubit.capital/blog/us-seed-weekly-funding-roundup-mar-5-12-2026' title: 'US Seed Weekly Funding Roundup (Mar 5-12, 2026): $1.27B Raised Across 5 Deals' author: name: Sagar Agrawal url: 'https://qubit.capital/blog/author/sagar' date: '2026-03-12T18:45:00+05:30' modified: '2026-03-12T18:45:02+05:30' type: post summary: 'This week''s seed funding roundup covers JetStream Security ($34M for AI governance), AgentMail ($6M for agent email), and Coreworks AI ($5M for enterprise reporting).' categories: - Weekly Funding Roundup image: 'https://qubit.capital/wp-content/uploads/2026/03/weekly-funding-roundup-seed-us-march-2026-week-2.webp' published: true --- # US Seed Weekly Funding Roundup (Mar 5-12, 2026): $1.27B Raised Across 5 Deals This week’s funding roundup features five significant Seed rounds from the United States, reflecting the continued dominance of AI and cybersecurity in early-stage investing. The deals range from a record-breaking billion-dollar bet on world models to infrastructure plays powering the agentic AI economy. These rounds highlight a clear trend: investors are backing foundational infrastructure for the next wave of AI, from security and governance layers to communication protocols and enterprise automation tools. ![](https://qubit.capital/wp-content/uploads/2026/03/us_ai_mega_rounds_mar5-12_2026.webp) Table of Contents - [AI Pioneer Raises $1.03B Seed For World Models](#ai-pioneer-raises-$1-03b-seed-for-world-models) [1. Deal Overview](#1-deal-overview) - [2. Investor Profile](#2-investor-profile) - [3. Company and Leadership](#3-company-and-leadership) - [4. Problem and Opportunity](#4-problem-and-opportunity) - [5. Product and Technology](#5-product-and-technology) - [6. Use of Proceeds and Vision](#6-use-of-proceeds-and-vision) - [7. Market Context](#7-market-context) - [Mandiant Founder Raises Record $190M Seed For AI Cybersecurity](#mandiant-founder-raises-record-$190m-seed-for-ai-cybersecurity) [1. Deal Overview](#1-deal-overview-1) - [2. Investor Profile](#2-investor-profile-1) - [3. Company and Leadership](#3-company-and-leadership-1) - [4. Problem and Opportunity](#4-problem-and-opportunity-1) - [5. Product and Technology](#5-product-and-technology-1) - [6. Use of Proceeds and Vision](#6-use-of-proceeds-and-vision-1) - [7. Market Context](#7-market-context-1) - [CrowdStrike Veterans Raise $34M Seed For AI Governance](#crowdstrike-veterans-raise-$34m-seed-for-ai-governance) [1. Deal Overview](#1-deal-overview-2) - [2. Investor Profile](#2-investor-profile-2) - [3. Company and Leadership](#3-company-and-leadership-2) - [4. Problem and Opportunity](#4-problem-and-opportunity-2) - [5. Product and Technology](#5-product-and-technology-2) - [6. Use of Proceeds and Vision](#6-use-of-proceeds-and-vision-2) - [7. Market Context](#7-market-context-2) - [YC Alumni Raise $6M Seed For AI Agent Email Infrastructure](#yc-alumni-raise-$6m-seed-for-ai-agent-email-infrastructure) [1. Deal Overview](#1-deal-overview-3) - [2. Investor Profile](#2-investor-profile-3) - [3. Company and Leadership](#3-company-and-leadership-3) - [4. Problem and Opportunity](#4-problem-and-opportunity-3) - [5. Product and Technology](#5-product-and-technology-3) - [6. Use of Proceeds and Vision](#6-use-of-proceeds-and-vision-3) - [7. Market Context](#7-market-context-3) - [UNBXD Founders Raise $5M Seed For AI Enterprise Reporting](#unbxd-founders-raise-$5m-seed-for-ai-enterprise-reporting) [1. Deal Overview](#1-deal-overview-4) - [2. Investor Profile](#2-investor-profile-4) - [3. Company and Leadership](#3-company-and-leadership-4) - [4. Problem and Opportunity](#4-problem-and-opportunity-4) - [5. Product and Technology](#5-product-and-technology-4) - [6. Use of Proceeds and Vision](#6-use-of-proceeds-and-vision-4) - [7. Market Context](#7-market-context-4) - [Lessons For Founders](#lessons-for-founders) ## AI Pioneer Raises $1.03B Seed For World Models ### 1. Deal Overview - Deal stage: Seed - Sector: AI / World Models - Geography: San Francisco, United States - Round size: $1.03 billion - Pre-money valuation: ~$3.5 billion - Second-largest seed round globally, behind Thinking Machines Lab’s $2B round (June 2025) ### 2. Investor Profile - **Bezos Expeditions** — Jeff Bezos’s personal fund; early backer of Airbnb, Uber, and Twitter - **Nvidia** — Strategic investor providing GPU infrastructure access for training world models - **Toyota** — Automotive giant investing for autonomous driving and robotics applications - **Samsung** — Edge device manufacturer enabling real-world model deployment - **Cathay Innovation** — Global VC bridging US-Asia deep tech - Co-led by Greycroft, Hiro Capital, HV Capital ### 3. Company and Leadership - Co-founded by **Yann LeCun** (Executive Chairman), Turing Award winner who led Meta AI for over a decade - CEO **Alexandre LeBrun**, former head of French health-AI startup Nabla - Company is less than three months old - LeCun’s departure from Meta signals a fundamental shift in the AI field ### 4. Problem and Opportunity - Current AI (LLMs) only understands language — it cannot reason about the physical world - Robotics, autonomous vehicles, and industrial automation need AI that understands physics, causality, and spatial reasoning - No credible player has yet delivered world models at scale — massive first-mover opportunity ### 5. Product and Technology - Building world models — AI systems that learn from reality rather than text - Models understand physical dynamics, enabling AI to navigate and interact with real environments - LeCun’s decades of research in deep learning and CNNs provide a unique intellectual foundation - Hardware partnerships (Nvidia, Toyota, Samsung) offer access to real-world training environments ### 6. Use of Proceeds and Vision - Research into novel world model architectures - Recruiting top AI researchers globally - Building compute infrastructure for training at scale - Targets robotics, autonomous driving, and industrial applications where language models fall short ### 7. Market Context - Global AI market projected to exceed $500B by 2028 - Growing investor conviction that the next breakthrough lies beyond language models - Cross-industry backing (automotive, semiconductors, consumer electronics) reflects broad applicability ## Mandiant Founder Raises Record $190M Seed For AI Cybersecurity ### 1. Deal Overview - Deal stage: Seed + Series A (combined) - Sector: Cybersecurity / AI - Geography: San Francisco, United States - Round size: $189.9 million - Largest seed-stage financing in cybersecurity history ### 2. Investor Profile - **Accel** — Top-tier VC behind CrowdStrike, Slack, and Atlassian; led the round - **In-Q-Tel** — CIA’s venture arm; highlights national security relevance of AI cyber defense - **GV (Google Ventures)** — Notable given Google’s $5.4B acquisition of Mandia’s previous company Mandiant - **Kleiner Perkins** — Legendary VC with portfolio spanning Genentech to Google - **Ballistic Ventures** — Cybersecurity-focused fund co-founded by former Palo Alto Networks executives - Also: Menlo Ventures, 8VC ### 3. Company and Leadership - Founded by **Kevin Mandia** (CEO), who built Mandiant — acquired by Google for $5.4 billion in 2022 - Co-founders: Travis Lanham, Evan Pena, David Slater - Mandia is widely regarded as one of the most experienced cyber defenders globally ### 4. Problem and Opportunity - AI is being weaponized by threat actors, creating attacks that outpace human defenders - Traditional security tools scan for known threats — they cannot reason about novel attack patterns - Enterprises need AI-native defense that matches the speed and adaptability of AI-powered attacks ### 5. Product and Technology - Deploys specialized AI agents operating as an “agentic attacker swarm” - Agents continuously reason, plan, and adapt like advanced human threat actors - Provides decision-grade proof of exploitable vulnerabilities, not just scan results - Mandia’s decades of real-world incident response knowledge embedded into AI reasoning ### 6. Use of Proceeds and Vision - Scale the autonomous AI agent platform - Expand research and engineering team - Accelerate enterprise deployments - Vision: AI agents that think like attackers defending every enterprise ### 7. Market Context - Cybersecurity market projected to exceed $500 billion by 2030 - Enterprise spend on AI security tools growing at 25%+ CAGR - National security dimension (In-Q-Tel backing) expands TAM beyond commercial enterprise ## CrowdStrike Veterans Raise $34M Seed For AI Governance ### 1. Deal Overview - Deal stage: Seed - Sector: AI Governance / Cybersecurity - Geography: San Francisco, United States - Round size: $34 million ### 2. Investor Profile - **Redpoint Ventures** — Early-stage VC behind Snowflake, Stripe, and HashiCorp; led the round - **CrowdStrike Falcon Fund** — CrowdStrike’s strategic arm validates AI governance from the leading endpoint security company - **George Kurtz** (Angel) — CrowdStrike CEO; personal backing signals top operator conviction - **Assaf Rappaport** (Angel) — Wiz CEO ($12B+ valuation); brings cloud security expertise - **Frederic Kerrest** (Angel) — Okta co-founder; identity and access management perspective ### 3. Company and Leadership - Founded by Raj Rajamani, Jared Phipps, Jatheen Anand, and Venu Vissamsetty - Veterans from CrowdStrike, SentinelOne, Dazz, Cohesity, McAfee, and Attivo Networks - Launched March 3, 2026 ### 4. Problem and Opportunity - Enterprises rushing to deploy AI agents but have no way to monitor what those agents actually do - Current tools track human users, not autonomous agents — a critical governance blind spot - Regulatory pressure (EU AI Act, US executive orders) creating compliance mandates with no tooling to meet them ### 5. Product and Technology - AI Blueprints — dynamic graphs mapping all resources working toward a shared goal - Traces relationships among AI agents, models, data accessed, tools called, and identities behind every action - Real-time visibility and control over enterprise AI agent deployments - First-mover advantage in the AI agent governance category ### 6. Use of Proceeds and Vision - Expand platform for broader AI agent frameworks - Grow engineering team and support enterprise rollouts - Vision: essential governance infrastructure for every enterprise deploying AI agents ### 7. Market Context - AI governance emerging as a must-have category, similar to cloud security a decade ago - Enterprise AI agent deployments growing faster than governance tools can keep up - Regulatory tailwinds make this a when-not-if adoption curve ## YC Alumni Raise $6M Seed For AI Agent Email Infrastructure ### 1. Deal Overview - Deal stage: Seed - Sector: AI Infrastructure - Geography: United States - Round size: $6 million ### 2. Investor Profile - **General Catalyst** — Growth-stage powerhouse behind Stripe, Airbnb, and HubSpot; led the round - **Y Combinator** — Continued backing post-batch signals strong conviction - **Paul Graham** (Angel) — YC founder; rarely invests personally, exceptional signal - **Dharmesh Shah** (Angel) — HubSpot CTO; deep email and communication product expertise - **Paul Copplestone** (Angel) — Supabase CEO; developer infrastructure perspective ### 3. Company and Leadership - Founded by Haakam Aujla (former quant researcher at Optiver) - Michael Kim (autonomous vehicles at Nvidia) - Adi Singh (investment roles at Accel, StepStone Group, Flex Capital) - Y Combinator alumnus ### 4. Problem and Opportunity - AI agents need to send and receive emails, but existing email tools are built for humans - No purpose-built email infrastructure exists for autonomous agents - Email remains the dominant business communication protocol — agents that can’t email are limited agents ### 5. Product and Technology - APIs for AI agents to autonomously obtain email addresses, send/receive messages, parse threads, manage labels - Handles two-way conversations without human intervention - Purpose-built for agents, not retrofitted human email tools - Network effects grow as more agents adopt the platform ### 6. Use of Proceeds and Vision - Expand engineering team and accelerate platform development - Drive developer and agent adoption - Vision: the default email infrastructure for the agentic economy — “Twilio for AI agent communication” ### 7. Market Context - Agentic AI market growing rapidly; agents need real-world communication channels - Email infrastructure for agents is a new category with significant platform potential - Developer adoption metrics will be the key growth indicator ## UNBXD Founders Raise $5M Seed For AI Enterprise Reporting ### 1. Deal Overview - Deal stage: Seed - Sector: AI / Enterprise SaaS - Geography: San Francisco, United States (with Bengaluru office) - Round size: $5 million - Announced: March 10, 2026 ### 2. Investor Profile - **Together Fund** — Early-stage VC focused on enterprise and developer tools; known for backing technical founders with prior exits - Lean syndicate reflects founders’ ability to raise on reputation — serial founders with a $100M exit need fewer proof points ### 3. Company and Leadership - Founded in 2025 by **Prashant Kumar** and **Pavan Sondur** - Previously built UNBXD, a product discovery platform that achieved a $100 million exit - Headquartered in San Francisco and Bengaluru ### 4. Problem and Opportunity - Analysts spend 60-80% of their time gathering and formatting data, not analyzing it - Current BI tools (Tableau, Power BI) still require manual data preparation - AI-generated reports exist but lack traceability — enterprises don’t trust numbers they can’t verify ### 5. Product and Technology - AI SuperAnalyst — autonomous agents that connect with ERP, CRM, financial models, and spreadsheets - Generates complete presentations and reports with fully traceable numbers - Traceability is the key differentiator — every number links back to its source - Founders’ UNBXD experience handling billions of transactions provides deep data processing expertise ### 6. Use of Proceeds and Vision - Accelerate product development - Full platform launch planned within 8-12 weeks - Early enterprise customer onboarding - Vision: eliminate manual data gathering so teams focus on decisions, not data prep ### 7. Market Context - Business intelligence market exceeds $30 billion and is ripe for AI-native disruption - Enterprise trust in AI-generated analysis is the key unlock — traceability solves this - Serial founders with a prior exit significantly de-risk execution for investors ## Lessons For Founders - Capital is flowing to AI infrastructure (picks and shovels), not application-layer plays — build the platform, not the app - Founder pedigree commands premium valuations — 4 of 5 deals feature founders with major prior exits or category-defining company experience - Strategic investors (Nvidia, Toyota, In-Q-Tel, CrowdStrike) are showing up at seed stage — pursue partners who bring distribution and data access, not just capital - Seed rounds are getting larger ($5M-$1B range this week) — the bar is higher but so is the available capital for those who clear it - AI governance and security are the fastest-growing seed categories as enterprises need guardrails before deploying agents at scale