Funding

AI Startup Keenable Raises $26M in Seed Funding Round

Aug 26, 2026 | By Devin Jacobs

SUMMARY

  • Keenable raised $26M in Seed funding.
  • The funding will support AI search technology and team growth.
  • Keenable builds web search infrastructure for AI systems.

Keenable, a San Francisco, CA-based independent web search infrastructure for AI, has raised $26 million in a seed funding round led by Accel.

The round also saw participation from Conviction and angels from Amazon, ClickHouse, Databricks, Google, Snowflake and SpaceXAI.

The company plans to use the capital to expand its engineering team, grow its independent web index and crawling infrastructure, and further develop the retrieval systems behind its Web Query Language.

Funding Snapshot

MetricDetails
Fundraise Amount$26 million
Funding StageSeed
ValuationNot disclosed
CompanyKeenable
SectorAI Infrastructure / Web Search
HeadquartersSan Francisco, California, USA
Founded2025
Lead InvestorAccel
Web Index100B+ documents

About Keenable

Founded in 2025 by Andrey Styskin and Matthias Petri, Keenable is developing search and knowledge-access infrastructure specifically for large-scale AI applications.

Instead of relying mainly on information stored during model training, Keenable aims to help AI systems access fresh, live information from across the web.

Read More:AI Search Engine Liner Raises $36.1M in Series C Funding

The company's independent search index contains more than 100 billion documents, providing the foundation for its AI-focused retrieval infrastructure.

Core offerings include:

  • Independent web search infrastructure
  • Web-scale crawling
  • AI retrieval systems
  • Web Query Language
  • Live web information access
  • Search infrastructure for AI labs

Core Technologies / Products / Services

Capability/ProductApplication/Use Case
Independent Web IndexProvides AI systems with access to large-scale web information
Web Crawling InfrastructureContinuously collects fresh web content
Web Query LanguageEnables AI systems to retrieve relevant information
AI Retrieval SystemsConnects models with external knowledge

Leadership Comments

“Today’s leading AI models are excellent summarisation machines. They can answer almost any question, but ask them about a subject you know deeply, and you’ll quickly find their limits. The next frontier, that will take average answers to outstanding ones, will come from giving AI dramatically better access to the world’s knowledge, said Andrey Styskin, Co-Founder and CEO of Keenable.

“Search is becoming foundational infrastructure for the next generation of AI, but today’s systems were never designed for the way models access and use information, said Zhenya Loginov, Partner at Accel.

Read More:Georgia-Based Airway Therapeutics Raises $50M in Funding Round

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