Building the system modern decisions have been missing
Decisions fail when context is incomplete, inconsistent, or outdated. We're building the infrastructure to fix that.
Services and agents act continuously while state is still changing. Context arrives from different sources at different times. Meaning is reconstructed independently. No existing data system was designed to own context at the moment a decision is made.
Our Solution
Tacnode owns decision-time context
Tacnode is the system designed to maintain complete, consistent, and up-to-date context while decisions are being made.
It ingests state and signals as they arrive, maintains shared interpretations and derived facts, and serves that context with strict guarantees under concurrency.
Decisions evaluate against the same live reality — not reconstructed fragments of it.
Without Tacnode
Decisions on partial, conflicting, or stale context
With Tacnode
Complete, consistent, and current context at decision time
What we learned at scale
Our team has built and operated large-scale data systems at companies like Meta and Microsoft.
We saw the same pattern repeat: teams pushed general-purpose databases and pipelines to support real-time decisioning. Performance wasn't the limiting factor.
The issue was that these systems were never designed to supply complete, consistent, and current context at decision time.
Why now
AI systems have made the problem unavoidable.
Agents and services make decisions continuously, often within a single inference window. They need user history, live signals, policies, and interpretations together — not eventually.
The companies succeeding with AI aren't just training better models. They're building systems that deliver complete, coherent, and current context at the moment decisions are made.
How We Work
Our Values
Clarity Over Complexity
We build systems that make hard problems simple, not simple problems complicated.
Speed With Substance
Move fast, but build things that last. Every decision balances velocity with durability.
Trust Through Transparency
We share what we know, admit what we don't, and build in the open when we can.
The Team
Small team. Big infrastructure experience.
Experience building and operating large-scale data systems at Meta, Microsoft, Amazon, and Google. Now we're building the one we wished existed.
Our Journey
From idea to infrastructure
Tacnode founded
Started building the Context Lake from first principles
First customers
Early adopters validating real-time decision infrastructure
Growing the team
Hiring engineers who want to reshape data infrastructure
Build the shared context layer for AI systems
We're building the system that keeps AI decisions aligned — one shared reality for every automated decision. If you've built distributed systems, worked on database internals, or shipped real-time data pipelines — we should talk.