Legal & compliance teams
Agents referencing current regulation, jurisdiction-specific law, and internal policy.
ArchiChat
Private Alpha
About ArchiChat
AI agents are only as good as their knowledge
An agent trained in January operates on January's understanding of the world. By March, a regulation may have changed. A standard may have been revised. Research may have moved the accepted approach. The agent doesn't know — and it answers with confidence anyway.
01
What we
What we
believe
a
Knowledge has a shelf life
Every domain — legal, engineering, compliance, medicine — evolves. An unmaintained agent is an agent that's gradually wrong.
b
Context and currency are different problems
Only your team can provide the internal context an agent needs. ArchiChat provides the domain knowledge — and keeps it current. These are separate responsibilities. Both must be owned.
c
Maintenance is infrastructure
The best engineering teams treat their tools the way they treat their systems: with defined update cycles, explicit ownership, and measurable quality criteria. Not a one-time setup. A continuous discipline.
02
What we
What we
do
ArchiChat builds and maintains the knowledge layer for specialized AI agents.
Your team defines the agent's scope and purpose. You provide the internal context that only you can provide. ArchiChat handles everything the agent needs to know about its domain — regulations, standards, research, industry practice — and keeps that knowledge current as the domain evolves.
The result: agents that stay accurate. Teams that don't spend cycles tracking a domain on behalf of a tool.
03
Our
Our
approach
a
Scope before breadth
A deeply accurate agent in a narrow domain outperforms a broadly capable agent in any domain. We scope each agent's knowledge boundaries deliberately.
b
Structured over raw
Knowledge updates are structured, not appended. When a regulation changes, the agent's understanding of that regulation changes — not just the text available to it.
c
Measurable over confident
We define what "current" means for each agent's domain and we measure against it. An agent that answers confidently from outdated knowledge is worse than one that defers.
04
Who uses
Who uses
ArchiChat
Any organization running agents with domain-specific knowledge requirements that change over time.
Engineering organizations
Agents trained on a specific stack, kept current as frameworks release and deprecations ship.
Quality & standards teams
Agents working against ISO, IEC, or industry certification requirements that revise periodically.
Research-adjacent teams
Agents incorporating published research, clinical guidelines, or evolving technical standards.
Operations teams
Agents handling processes governed by regulatory requirements that update on a government cycle.
Financial services
Agents working against regulatory frameworks that shift across jurisdictions and reporting cycles.
05
Who we
Who we
are
ArchiChat was founded by Omer Fox, a software engineer and engineering leader with over fifteen years building and maintaining platform infrastructure for large-scale production systems.
He started ArchiChat after observing a consistent failure mode: organizations adopting AI agents with no plan for what happens when the agent's knowledge expires.
We are a small, focused team. We scope each engagement manually.
06
Work
Work
with us
Tell us what your agent needs to know
ArchiChat is in private alpha. If your organization runs — or is planning to run — agents with domain-specific knowledge requirements that change over time, we want to talk. Tell us the domain, the agent's role, and how quickly that domain changes.
Frequently Asked Questions
What is ArchiChat?
ArchiChat is a knowledge infrastructure platform for specialized AI agents. It builds and continuously updates the domain knowledge layer that keeps agents accurate over time.
What does "specialized agent" mean?
A specialized agent is scoped to a specific domain — legal research, engineering standards, compliance review, clinical guidelines. It knows that domain deeply, rather than being broadly capable across everything.
How does ArchiChat keep agents current?
ArchiChat monitors the agent's knowledge domain for changes — regulatory amendments, standard revisions, new research, software releases. When relevant changes occur, the agent's knowledge is updated in structured form.
What does my team need to provide?
Your team defines the agent's scope, purpose, and the internal business context it operates in. ArchiChat handles the external domain knowledge layer — building it, structuring it, and keeping it updated.
Is ArchiChat only for software development teams?
No. ArchiChat is domain-agnostic. Any team running a specialized agent with knowledge requirements that evolve over time is a fit — legal, compliance, engineering, operations, quality standards, and others.
How do I get started with ArchiChat?
ArchiChat is in private alpha. Email contact@archichat.dev — we scope every engagement manually. The first conversation is about your agent's domain and how quickly it changes.