Auditable knowledge and web infrastructure for AI agents.
Our flagship product, Valisor, is an auditable knowledge base with built-in web search, cryptographic chain of custody, and deterministic invariants that block what should never enter or exit your organization. For AI-native teams, it surfaces an operating picture on top: priorities, next actions, drift. The company as a loop.
We also ship source-code APIs for SERP, video, and web extraction (agent-native, deployable on your infra) and maintain WAIS, the open standard that defines how agents discover, authenticate, and transact on websites on behalf of real users.
AI-native, not AI-added.
Deeger is not a traditional company that adopted AI. We were founded as an AI-native company. AI is not a feature we bolted on, it is the architectural premise everything else is built around.
The playbook for building a startup has been rewritten. The traditional path of validate → raise → hire → build → grow → hire more → repeat assumed that each new phase required a bigger team, a different skill set, and a fresh funding round. AI erases that assumption.
At Deeger, the founder operates as orchestrator of agents, directing AI systems that research, code, test, ship, and automate operational workflows. The human attention goes to the highest-order decisions: what to build, why, and for whom. The machines handle the rest.
And the company itself runs as a loop: what our agents learn lands signed and checked, and the loop surfaces our own priorities, next actions, and drift. We are the first customer of everything we sell.
Four principles.
Agentic coding
Our codebase is built with agentic coding tools: production-grade software generated, tested, debugged, and refactored through direct AI collaboration. No waiting for sprint cycles. The engineer is always available.
Lean by design
A small team operating with the leverage of AI can reach product validation, early revenue, and real scale without the overhead of a traditional org. Headcount is not a proxy for momentum. Output is.
Continuous learning
Every user interaction, every agent session, every data pipeline run feeds back into the system. AI-native means building feedback loops into the infrastructure itself, not bolting analytics on after the fact.
Open core
Open source. No black boxes. Our infrastructure is MIT-licensed and deployable anywhere, cloud or self-hosted. Trust is built through transparency, not vendor lock-in.
When agents act, someone has to be able to prove what they knew.
The agent economy is arriving. AI systems are moving from assistants that suggest to agents that act: executing transactions, accessing services, making decisions on behalf of users and organizations. This creates an entirely new infrastructure problem.
When agents act, you need to know what they knew, where they got it, and whether you can prove it. That is the problem Deeger exists to solve. Auditable knowledge. Signed provenance. Deterministic policy enforcement. Infrastructure that treats agent actions as first-class operations worthy of the same rigor as financial transactions.
Dublin-incorporated. Built with builders.
Deeger Ltd is incorporated in Dublin, Ireland. We're part of the startup programs at PostHog, Z.ai, AWS, MongoDB, ElevenLabs, DigitalOcean, Customer.io, Massive, and Fireworks.ai.
deeger.status() └&horz; founded: Dublin, Ireland └&horz; model: AI-native, open core └&horz; products: Valisor · API Packages · WAIS · Consulting └&horz; license: MIT └&horz; ops: running as a loop · agents all the way down