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Stilta

Category: AI in Legal

Agentic AI platform for patent litigation that automates prior art searches, invalidity/infringement analysis, and IP portfolio management using a swarm of specialized AI agents. Stilta was founded in 2025. The company is led by Oskar Block. Based in Stockholm, Sweden. Team size: 1-10. Total funding raised: $10.5M. Latest round: Seed. Key investors include Andreessen Horowitz (a16z); Y Combinator; Operators/founders from OpenAI, Sana, Legora, Lovable, Listen Labs.

Founded
2025
Headquarters
Stockholm, Sweden
Team size
1-10
Total funding
$10.5M

Value proposition

Agentic AI that automates the analytical bottleneck of patent litigation — running search and analysis at a scale manual methods cannot match, with every output source-backed, referenced, and auditable for litigation-grade trust.

Products and solutions

Agentic AI platform for patent invalidity, infringement, and freedom-to-operate (FTO) analysis; prior art search across 180M+ patents, 250M scientific publications, and 1T+ web archives; automated claim chart generation with color-coded citation strength; multi-agent parallel analysis for anticipation and obviousness theories; portfolio monitoring and valuation

Unique value

First agentic AI platform purpose-built for patent litigation (not just drafting), delivering litigation-grade claim charts with pinpoint citations, ~3x recall vs general LLMs, and interactive agent-driven analysis that works alongside practitioners rather than replacing them.

Target customer

Corporate in-house IP teams (pharma, industrials, high-tech) and IP law firms focused on litigation — ~2/3 corporate, ~1/3 law firms; split ~50/50 US/Europe

Industries served

Legal (Intellectual Property / Patent Litigation); Pharmaceuticals; Industrials; High-Tech; Logistics

Technology advantage

Agentic AI swarm architecture: specialized agents work in parallel and converge on analysis — reasoning like a room of human specialists but at machine scale. Searches 180M patents + 250M publications + 1T web pages simultaneously. 3x recall over general-purpose LLMs on invalidity tasks. Every output traceable to pinpoint citations with source PDFs.

How they differentiate

Multi-agent AI architecture that dispatches specialized agents to search patents, scientific literature, web archives, and USPTO prosecution history in parallel — achieving ~3x recall vs general LLMs (ChatGPT, Claude, Perplexity) on invalidity tasks. Every output is source-cited, referenced, and auditable with interactive claim charts. Built specifically for litigation-grade work (invalidity, infringement, FTO) rather than drafting, by four former McKinsey/QuantumBlack AI engineers.

Main competitors

Patlytics; Solve Intelligence; DeepIP

Key partnerships

Y Combinator (Winter 2026 batch); Internet Archive / Wayback Machine integration for web archive search; USPTO prosecution history data integration

Notable customers

Roche, Alfa Laval, Maersk, KUKA, three of the world's five largest IP firms (as customers or active pilots)

Major milestones

Founded December 2025 by four former McKinsey/QuantumBlack engineers; Accepted into Y Combinator Winter 2026 batch; Product launched February 2026; Closed $10.5M seed round led by Andreessen Horowitz (May 2026); Signed Roche, Alfa Laval, and Maersk as enterprise customers; Signed three of the world's five largest IP firms as customers or active pilots

Market positioning

AI-native agentic platform specifically targeting patent litigation (invalidity, infringement, FTO) — differentiated from patent-drafting tools by its focus on litigation-grade, source-backed, auditable analysis using a multi-agent architecture. Competes directly with Patlytics ($65M raised) and Solve Intelligence ($52M+ raised) in the rapidly growing AI-for-patent space.

Geographic focus

US and Europe (~50/50 split)

About Oskar Block

Ex-McKinsey & Company (QuantumBlack); Ex-Goldman Sachs; Bootstrapped two startups to +$1M ARR (first startup built ML models for sports betting at age 18); Ex-Einride (autonomous trucking). Y Combinator W26.

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