US Series A Weekly Funding Roundup (Mar 13-20, 2026): $202.0M Raised Across 6 Deals

Table of Contents

Six US startups closed Series A rounds totaling $202 million this week, with deals spanning cybersecurity, AI infrastructure, fintech, biopharma intelligence, climate tech, and enterprise procurement. The largest round went to Surf AI at $57 million, followed by Deeptune at $43 million and Lio at $30 million.

A clear pattern emerges across this week’s raises: founders are building AI-native platforms for industries still running on manual processes and fragmented tools. Whether it’s security operations, fund administration, or energy regulation, the winning thesis is the same — replace human-intensive workflows with intelligent automation, and do it with deep domain expertise rather than generic AI wrappers.

1. Surf AI Raises $57M For AI Security Operations

Deal Overview

• Stage: Series A (combined seed and Series A)
• Sector: Cybersecurity
• Geography: United States (dual HQ in Tel Aviv and New York)
• Round Size: $57M

Investor Profile

The round was led by Accel Partners, with participation from Cyberstarts and Boldstart Ventures. Cyberstarts is a specialist cybersecurity fund behind companies like Wiz, Fireblocks, and Cato Networks — their involvement signals deep conviction in the security operations category.

Company and Leadership

Surf AI was founded in September 2024 by Yair Grindlinger, Elad Horn, Roie Cohen Duwek, Avner Gideoni, and Brenton Gumucio. Grindlinger previously founded FireLayers, which he sold to Proofpoint for $45.6 million in 2016. The company launched from stealth in March 2026.

Problem and Opportunity

The average enterprise uses over 70 security tools, yet most security teams still stitch together alerts manually. The result is tool sprawl, alert fatigue, and slow incident response. Surf AI addresses the gap between fragmented security signals and actionable business context.

Product and Technology

Surf AI’s agentic security operations platform aggregates signals from security, identity, data, and IT systems, then maps them to business contexts like asset ownership, permissions, and dependencies. AI agents automate threat detection, response, and security hygiene workflows across cloud infrastructure and applications. Early enterprise deployments have demonstrated concrete ROI — recovering roughly $1 million in excess SaaS license spend and disabling thousands of dormant accounts.

Use of Proceeds and Vision

Funds will go toward product development, team expansion, and scaling enterprise adoption. The company is positioning itself as the context-aware alternative to legacy SOAR platforms like Torq and Tines.

Market Context

The security operations market is valued at over $30 billion and growing rapidly. The Israeli cybersecurity ecosystem continues to produce category-defining companies, and Surf AI’s AI-native approach targets a fundamental limitation of existing tools — they see alerts, not business impact.

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2. Deeptune Raises $43M For AI Agent Training Infrastructure

Deal Overview

• Stage: Series A
• Sector: AI Infrastructure
• Geography: United States (New York)
• Round Size: $43M

Investor Profile

Andreessen Horowitz led the round, joined by 776, Abstract Ventures, and Inspired Capital. Notable angels include Noam Brown from OpenAI Research, Brendan Foody (CEO of Mercor), and Yash Patil (CEO of Applied Compute). The a16z stamp validates Deeptune’s infrastructure thesis at a time when AI agent tooling is attracting significant capital.

Company and Leadership

Deeptune is led by co-founder and CEO Tim Lupo. The roughly 20-person in-person team includes engineers and operators from Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool — a concentrated roster of AI infrastructure talent.

Problem and Opportunity

AI agents need to practice before they can perform. Today, there is no reliable way to train agents on real-world workplace workflows without deploying them into production and risking errors. This is the same bottleneck that autonomous vehicles faced before simulation environments transformed the field.

Product and Technology

Deeptune builds high-fidelity reinforcement learning environments — essentially training gyms for AI agents. These simulate day-to-day workflows of roles like accountants, customer support reps, and DevOps engineers, allowing agents to learn multi-step tasks across software like Slack, Salesforce, and finance tools. The fidelity of these environments creates a flywheel: better simulations produce better agents, which attract more customers and generate more workflow data.

Use of Proceeds and Vision

The team plans to expand and build training environments across additional workplace software and professional roles. Deeptune is positioning itself as the essential infrastructure layer for anyone building AI agents.

Market Context

The reinforcement learning market is projected to grow from $11.6 billion in 2025 to over $90 billion by 2034. Competitors include Scale AI and Patronus AI, but Deeptune’s focus on full workflow simulation rather than benchmarking or evaluation sets it apart.

3. Lio Raises $30M For Enterprise Procurement Automation

Deal Overview

• Stage: Series A
• Sector: Enterprise SaaS
• Geography: United States
• Round Size: $30M

Investor Profile

Andreessen Horowitz led again — their second appearance in this week’s roundup — alongside SV Angel and Y Combinator. The a16z and YC combination signals strong founder pedigree and conviction in the procurement automation category.

Company and Leadership

Lio is building an AI-powered platform to automate enterprise procurement, tackling one of the most manual and high-friction workflows in large organizations.

Problem and Opportunity

Enterprise procurement remains one of the most labor-intensive back-office functions. Vendor evaluation, contract negotiation, compliance checks, and purchase order management involve countless manual handoffs across teams. As enterprises look to cut operational costs, procurement is a natural target for AI automation.

Product and Technology

Lio applies AI to streamline procurement workflows end-to-end, reducing cycle times and human error across vendor management, sourcing, and purchasing decisions.

Use of Proceeds and Vision

With $30 million in fresh capital and backing from two of the most influential names in venture, Lio is scaling its platform to meet enterprise demand for procurement automation.

Market Context

Global procurement software spending exceeds $10 billion annually, with enterprises increasingly looking to replace legacy tools like SAP Ariba and Coupa with AI-native alternatives. The combination of a16z and YC backing positions Lio as a serious contender in this space.

4. Hanover Park Secures $27M For AI-Native Fund Administration

Deal Overview

• Stage: Series A
• Sector: Fintech
• Geography: United States (New York)
• Round Size: $27M

Investor Profile

Emergence Capital led the round, joined by Lux Capital and Susa Ventures. Emergence is known for backing enterprise cloud leaders like Salesforce, Zoom, and Veeva, making this a strong signal for Hanover Park’s enterprise potential.

Company and Leadership

Hanover Park is a New York-based AI-native fund administrator that grew from $1 billion to $15 billion in assets under administration in a single year — a 15x increase that demonstrates exceptional product-market fit.

Problem and Opportunity

Fund administration powers over $100 trillion in global assets, yet the industry still runs on spreadsheets and manual processes. NAV calculations, capital calls, distributions, and investor reporting involve significant human labor and are prone to error.

Product and Technology

The platform combines fund administration, portfolio management, and an LP portal into a single AI-native system. It replaces the spreadsheet-and-human-duct-tape model with automated NAV calculations, capital calls, distributions, investor reporting, and compliance workflows. The vertically integrated approach creates a unified data layer that fragmented competitors cannot match.

Use of Proceeds and Vision

Hanover Park will expand its platform and team while bringing AI-native fund administration to more PE and VC firms globally. The company is positioning itself at the intersection of AI and alternative asset management.

Market Context

Competitors include traditional administrators like Citco, SS&C, and Apex Group, as well as newer entrants like Carta and Allvue. Hanover Park differentiates by building AI-native from day one rather than layering AI onto legacy systems.

5. Condor Software Raises $24M For Biopharma Financial Intelligence

Deal Overview

• Stage: Series A
• Sector: Healthtech / Life Sciences
• Geography: United States
• Round Size: $24M (total funding $36M)

Investor Profile

Insight Partners and Felicis led, with participation from 645 Ventures, Pamir Ventures, SNR Ventures, Prebys Ventures, and Bramalea Partners. The seven-investor syndicate reflects broad conviction in the life sciences vertical SaaS opportunity.

Company and Leadership

Condor Software was founded by Jennifer Kyle. The platform manages over $19 billion in R&D spend for biopharma companies including Acadia Pharmaceuticals, BridgeBio Pharma, and Madrigal Pharmaceuticals.

Problem and Opportunity

Pharmaceutical R&D spending exceeds $250 billion annually, yet the financial infrastructure determining which programs get funded runs on fragmented spreadsheets, CRO portals, and ERP systems. Finance teams at biopharma companies are underserved by generic tools that cannot integrate clinical, operational, and financial data.

Product and Technology

Condor is the first financial intelligence platform purpose-built for life sciences. It connects clinical, operational, and financial data in real time, giving biopharma leaders visibility over every dollar and decision across their R&D portfolio. Customers report 90%+ forecast accuracy, 70% faster month-end close, and 30% average budget savings.

Use of Proceeds and Vision

The company is accelerating platform expansion and scaling teams across engineering, product, sales, and customer success. Condor aims to be the financial operating system for biopharma R&D.

Market Context

Competitors include Certara for clinical analytics, Veeva for CRM and regulatory, and generic FP&A tools like Anaplan. Condor’s deep specialization in R&D finance creates high switching costs that generic platforms cannot overcome.

6. Halcyon Raises $21M For AI Energy Regulatory Intelligence

Deal Overview

• Stage: Series A
• Sector: Climate Tech / Energy
• Geography: United States (San Francisco)
• Round Size: $21M

Investor Profile

Energize Capital led, with Zero Infinity Partners, Congruent Ventures, Obvious Ventures, and Sabanci Climate Ventures participating. The syndicate brings deep climate tech and energy expertise, with Energize Capital focused exclusively on the energy transition.

Company and Leadership

Halcyon is a San Francisco-based AI platform that has built the most comprehensive catalog of energy regulatory data available in the United States.

Problem and Opportunity

Energy regulation determines whether projects get built, yet the US regulatory landscape spans thousands of proceedings across 50-plus jurisdictions. Navigating this complexity historically required armies of consultants and weeks of manual research.

Product and Technology

Halcyon’s AI platform aggregates and analyzes energy regulatory data across all 50 US state public utility commissions, every ISO/RTO, and FERC. Outputs are validated by energy domain experts to ensure accuracy for real investment and development decisions. The data moat deepens as more regulatory proceedings are ingested and analyzed.

Use of Proceeds and Vision

Funds will expand software capabilities, deepen the data advantage, and scale operations to meet growing demand from energy investors, developers, and operators navigating the energy transition.

Market Context

Climate tech attracted over $50 billion in VC investment in 2025, and regulatory intelligence is becoming critical infrastructure as policy increasingly determines project feasibility. Traditional consulting firms and niche data providers lack Halcyon’s AI-powered comprehensive coverage.

Lessons For Founders

• Domain depth beats horizontal breadth. Every company in this roundup chose a specific industry — biopharma finance, fund administration, energy regulation — and built tools that generic platforms cannot replicate. Deep vertical expertise creates natural moats and higher switching costs.
• AI-native architecture is the new table stakes. Hanover Park, Surf AI, and Halcyon are not adding AI to legacy systems — they are building from scratch with AI at the core. Investors are rewarding this approach because it delivers fundamentally different product capabilities.
• Founder credibility accelerates fundraising. Grindlinger’s prior exit to Proofpoint, Deeptune’s team from Anthropic and Scale AI, and Lio’s a16z plus YC combination all show that relevant track records compress the path from launch to Series A.
• Quantified customer outcomes close deals. Condor’s 90% forecast accuracy and 30% budget savings, Hanover Park’s 15x AUA growth, and Surf AI’s $1M in recovered SaaS spend give investors concrete evidence of value — not just a pitch deck promise.
• Infrastructure plays attract infrastructure investors. Deeptune (training environments) and Halcyon (regulatory data) are not end-user applications — they are foundational layers that others build on. These businesses compound as their ecosystems grow.