--- url: 'https://qubit.capital/blog/us-seed-weekly-funding-roundup-week-4-june-2026' title: 'US Seed Weekly Funding Roundup (Jun 15-22, 2026): $156.0M Raised Across 3 Deals' author: name: Sagar Agrawal url: 'https://qubit.capital/blog/author/sagar' date: '2026-06-22T16:50:47+05:30' modified: '2026-06-22T16:50:47+05:30' type: post summary: 'US seed startups raised $156M across 3 deals this week, led by Ent''s $100M cybersecurity round, plus Radical Numerics and Tenet Security.' categories: - Weekly Funding Roundup image: 'https://qubit.capital/wp-content/uploads/2026/06/featured-us-seed-67850.webp' published: true --- # US Seed Weekly Funding Roundup (Jun 15-22, 2026): $156.0M Raised Across 3 Deals US seed investors wrote three big checks this week, putting $156 million into early-stage companies. Two of the three deals went to cybersecurity startups, and all three ride the AI wave. The headline was Ent’s $100 million round, one of the largest cybersecurity seeds on record. For context, late-stage US companies dwarfed these numbers, with four Series B and later rounds pulling in $910 million over the same stretch. The pattern this week is clear. Founders who already built and sold security or AI companies are raising large rounds to attack the next problem: securing AI agents and modeling biology with AI. Two of these teams came out of stealth with backing from In-Q-Tel and other defense-aligned investors, a sign that government channels matter again at the earliest stages. Here’s a closer look at where the money went. Weekly Funding Roundup JUN 15-22, 2026 $156M TOTAL RAISED 3DEALS CLOSED 100%SEED $52MAVG DEAL SIZE USTOP REGION BY STAGE Seed$156M100% BY SECTOR EntCybersecurity (endpoint and workspace security)$100M Radical NumericsDeeptech (AI for biology)$50M Tenet SecurityCybersecurity (AI agent security)$6M Table of Contents - [1. Ent Raises $100M To Bring Prevention Back To Security](#1-ent-raises-$100m-to-bring-prevention-back-to-security) [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. Radical Numerics Raises $50M For Biological AI](#2-radical-numerics-raises-$50m-for-biological-ai) [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. Tenet Security Raises $6M To Defend AI Agents](#3-tenet-security-raises-$6m-to-defend-ai-agents) [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) - [Lessons For Founders](#lessons-for-founders) ## 1. Ent Raises $100M To Bring Prevention Back To Security ### Deal Overview - Stage: Seed - Sector: Cybersecurity (endpoint and workspace security) - Geography: San Francisco, United States - Round size: $100 million - Valuation: Not disclosed ### Investor Profile Decibel Partners led the round. Sequoia Capital, Crosspoint Capital Partners, Craft Ventures, In-Q-Tel, Shield Capital, and Felicis joined. In-Q-Tel is the strategic investor tied to the CIA, and Shield Capital focuses on national security technology. Their presence points to early interest from government and defense buyers. A $100 million seed is rare. The size signals how much conviction these investors place in the founding team and the AI-security thesis. ### Company and Leadership [Ent](https://www.ent.ai) was founded by Elias Manousos and Brandon Dixon. The two previously co-founded RiskIQ, an attack-surface-management company that Microsoft bought in 2021. After that deal, both worked on Microsoft Security Copilot, Microsoft’s generative-AI security assistant. Manousos is CEO. The founders have built internet-scale threat intelligence before, and that experience shapes how Ent approaches behavior and intent modeling. ### Problem and Opportunity Most security tools react. They flag an incident after it happens, then teams clean up. Manousos argues the industry has been stuck in that reactive loop for over a decade. AI changes the math. Autonomous agents now act on behalf of users inside corporate systems, which creates new ways for things to go wrong. Reactive detection can’t keep pace with software that moves at machine speed. ### Product and Technology Ent builds an intent-aware security platform for endpoints and workspaces. It reads the behavior of both human users and AI agents in real time. A lightweight agent sits on the endpoint, watches behavioral patterns, enforces company policies, and triggers responses before an incident occurs. The platform runs alongside existing tools like EDR, SIEM, SOAR, and IAM. It adds a preventive layer instead of replacing what’s already in place. ### Use of Proceeds and Vision Ent plans to spend the $100 million on engineering and go-to-market, plus faster development of its intent-aware technology. The company is hiring across product, research, and sales as it scales out of stealth. The pitch is prevention for the AI-native enterprise, where humans and AI agents work side by side. ### Market Context Ent competes in the endpoint detection and response market against CrowdStrike, Microsoft Defender, SentinelOne, and Palo Alto Networks, plus a wave of AI-security startups. The growth of autonomous agents creates attack surfaces that older tools handle poorly. Its $100 million seed ranks among the largest in cybersecurity, which reflects how much investors want a stake in AI-era security. ## 2. Radical Numerics Raises $50M For Biological AI ### Deal Overview - Stage: Seed - Sector: Deeptech (AI for biology) - Geography: United States - Round size: $50 million - Valuation: Not disclosed ### Investor Profile Emergence Capital led the seed. Obvious Ventures, Triatomic Capital, Factory, and First Spark Ventures took part. Stripe CEO and Arc Institute co-founder Patrick Collison backed the company earlier, at the pre-seed stage. Emergence has a track record in enterprise software, and the wider syndicate brings deeptech and scientific reach. ### Company and Leadership [Radical Numerics](https://www.radicalnumerics.ai) has four co-founders: Eric Nguyen (CEO), Michael Poli (Chief AI Scientist), Stefano Massaroli (President), and Armin Thomas (CTO). Three of them built core technology at Liquid AI, an MIT spinout. Nguyen holds a master’s from Cornell and pursued a bioengineering PhD at Stanford. The team previously created the Evo and Evo 2 genomic models, trained on genomes from more than 100,000 species. That work produced the first fully AI-designed functional virus in 2025. ### Problem and Opportunity Drug development fails often because researchers can’t model a whole biological system at once. Most AI-bio tools look at one layer, such as proteins or RNA, and miss how the pieces interact. Radical Numerics bets that this narrow view is the bottleneck. Model the full system, the thinking goes, and you catch problems earlier. ### Product and Technology The company builds what it calls general biological intelligence: AI models that read, write, and reason across DNA, RNA, proteins, and other molecules inside one unified model. Its flagship model is Omnii. The approach is multimodal by design. Rather than train separate models for each molecule type, Radical Numerics joins them in a single system, which it argues is the real edge over single-modality rivals. ### Use of Proceeds and Vision The $50 million funds development and scaling of the models, plus applications in drug discovery, diagnostics, and biodefense. The company expects revenue from API licensing, custom models for pharma partners, and milestone payments. Its vision is AI that understands entire biological systems rather than one slice of them. ### Market Context Radical Numerics works in AI-driven drug discovery and computational biology, a market projected to reach roughly $25 billion by 2035. Competitors include Isomorphic Labs on proteins and Inceptive on RNA, both single-modality players. Generative biology raises dual-use concerns. The company addresses them with national-lab pathogen-detection partnerships, an advisor in former US defense official Andrew Weber, and a decision not to automatically open-source future models. ## 3. Tenet Security Raises $6M To Defend AI Agents ### Deal Overview - Stage: Seed - Sector: Cybersecurity (AI agent security) - Geography: United States (originally Tel Aviv-Yafo, Israel) - Round size: $6 million - Valuation: Not disclosed ### Investor Profile The Westly Group led the round, with MizMaa Ventures joining. The Westly Group has backed Tesla, SentinelOne, and Lumina, so it knows deeptech and security investing. At $6 million, this is the smallest of the three deals. It funds a focused bet on a problem that’s growing fast. ### Company and Leadership [Tenet Security](https://www.tenetsecurity.ai) was founded by Barak Sternberg (CEO) and Nevo Poran (CTO). They built and led Cisco’s AI Defense research team together, and both served in Israel’s Unit 8200 military intelligence cyber unit. The company started in Tel Aviv-Yafo and now runs its go-to-market from the United States. Its work defending AI systems at Cisco shaped the focus on autonomous agents. ### Problem and Opportunity Enterprises are handing AI agents access to critical systems. Traditional security tools can’t see what these agents do, which leaves a blind spot as agent use spreads. Sternberg calls AI agents the biggest productivity unlock enterprises have seen in decades. The catch is that companies expose sensitive systems without proper guardrails. ### Product and Technology Tenet’s platform protects enterprise AI agents in real time. Its patent-pending Agent-side Simulation predicts an agent’s next actions before they run. If a planned action looks risky, the platform blocks it and explains why. The system targets unauthorized access, data exfiltration, agent manipulation, and Agentjacking, where hidden instructions in emails, documents, or logs change how an agent behaves. It also catches runaway agents that burn through tokens. ### Use of Proceeds and Vision The $6 million funds product development, the expansion of Tenet Threat Labs, and North American go-to-market. The company also wants to cover more AI agent frameworks. One customer grew from 2 to more than 20 agent deployments in six months while on the platform, the kind of safe scaling Tenet wants to enable. ### Market Context Securing AI agents is a young, fast-growing category. Adjacent players include Cisco AI Defense, HiddenLayer, Protect AI, Lasso Security, and Prompt Security. New attack classes like Agentjacking and prompt injection are driving demand. Tenet’s pre-execution approach, predicting and stopping risky actions before they run, marks out a distinct spot in the field. Early production data, including 10-plus attempted attacks caught at a $1 billion ARR legal enterprise, feeds its models. ## Lessons For Founders - Domain pedigree raises big rounds. Ent’s $100 million seed rests on founders who already built and sold RiskIQ. Investors pay up for teams that have done it before. - Sell into the AI shift, not around it. All three companies tie their pitch to autonomous agents or AI-driven biology. The wave creates fresh problems worth funding. - Complement the stack, don’t replace it. Ent and Tenet both position as a new layer on top of existing tools, which lowers the barrier to adoption. - Defense-aligned capital shows up early now. In-Q-Tel, Shield Capital, and national-security advisors appear at seed, opening government channels that competitors struggle to match. - Proof beats promises. Tenet’s caught-attack data and Radical Numerics’ Evo track record gave investors something concrete to underwrite.