VQV Signal

MONEY WATCH PRACTICAL

Stilta raises $10.5M a16z-led seed for AI patent-litigation agents

According to a post on X by @rdominguezibar, Stockholm startup Stilta, which builds AI agents for patent litigation, raised a $10.5 million seed round led by a16z five weeks after launch. The same post reports that open-source workflow platform Kestra raised a $25 million Series A. It also cites @tanayj saying Modal's sandbox product is at a $300 million run rate and Daytona grew from $1 million to $100 million in a year, mostly from reinforcement-learning workloads. The post notes that these sandbox figures are unsourced.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-09T00:15:00+00:00 Detected 2026-11-09T10:17:42+00:00
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According to a post on X by @rdominguezibar, Stockholm startup Stilta, which builds AI agents for patent litigation, raised a $10.5 million seed round led by a16z five weeks after launch. The same post reports that open-source workflow platform Kestra raised a $25 million Series A. It also cites @tanayj saying Modal's sandbox product is at a $300 million run rate and Daytona grew from $1 million to $100 million in a year, mostly from reinforcement-learning workloads. The post notes that these sandbox figures are unsourced.

AI-assisted summary based on the listed source.

Stilta, a Stockholm startup building AI agents for patent litigation, raised a $10.5 million a16z-led seed five weeks after launch, and open-source workflow platform Kestra raised a $25 million Series A. @tanayj says Modal’s sandbox product is at a $300 million run rate and Daytona grew from $1 million to $100...

Founders and investors can see funding going to both narrow AI agent applications, such as patent litigation, and to infrastructure that runs agent code. The sandbox growth figures have not been independently confirmed, so they should be treated as claims. Watch for sourced revenue numbers and named customers from Modal and Daytona before relying on them.

Business readers can use this as a signal of where capital, competition, or market attention is moving.

Signal Strength 95% Technical label WATCH Public Interest 34 Category MONEY Reader Depth PRACTICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 38 Novelty Interest Score 94 Consequence Score 18 Curiosity Score 16 Shareability Score 32

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).