Bleenq

Boutique AI/ML consulting + incubator

We build production-grade AI systems — and run our own open-source platform.

Bleenq is a boutique AI/ML consulting firm and incubator. The chat on this page isn't a demo of someone else's tech — it runs on the same platform we open-sourced. Want to see what we build? You're using it.

Talk to our AIRead our writing

Consulting

Taking AI systems from prototype to production — where governance, security, observability, and cost control stop being optional.

How we help →

Platform

An open-source, self-hosted AI platform: one LLM gateway, scoped keys, full tracing, and the boring layers done right.

Incubator

We build our own products on the foundation — knowledge-base bots, a voice assistant, and more. Proof of work, in public.

Latest writing

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One Answer, Fifty Jurisdictions

Two customers ask your AI the same question and one legal answer is a violation for the other, because they live in different states. The closing part of Governance in Regulated Rooms: why jurisdiction is a runtime parameter, why stuffing state rules into the prompt is the anti-pattern, and the compliant shape — policy as data: versioned per-jurisdiction rule tables the enforcement layer consults, an eval matrix that crosses scenario with state, and a dead-man-checked job that screams when the table goes stale against the statute.

  • AI Governance
  • Compliance
  • Policy as Code
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Telemetry Without Surveillance

We wanted to know whether anyone uses the chatbot on this site, what they ask, and whether it's being abused — without storing a single visitor's IP address. Here's the design: a salted hash that counts a returning visitor but can't identify one, a second hash that catches an attacker probing several of our sites without ever linking ordinary readers across them, and an abuse trail that never holds a raw address.

  • AI Governance
  • Privacy
  • Observability
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Your Eval Set Is a Regulated Asset

The evaluation infrastructure nobody audits is full of customer data: golden datasets built from real conversations, trace stores, labeling queues, red-team corpora. Part 4 of Governance in Regulated Rooms makes the case that under GLBA's Safeguards Rule and FCRA, the test tooling sits inside the regulated boundary — and shows the pattern that makes compliance mechanical: a data manifest the build refuses to violate, retention clocks with dead-man checks, and eval assets carried in the same inventory as the systems they test.

  • AI Governance
  • GLBA
  • Data Security
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Open-source & projects

All projects →

ai-homelab

active

A production-grade, self-hosted AI platform — 40+ services, security and observability from day one.

  • AI Platform
  • Self-Hosted
  • Infrastructure
  • LLM Gateway
MIT
Repo →

Two Clocks Research

active

A published market thesis — with its own commissioned adversarial review, a public changelog, and a scored calibration record.

  • Research
  • Publishing
  • Adversarial Review
  • Calibration
Site →

discord-curator

active

A Discord bot that surfaces our knowledge bases where the team already talks.

  • Discord
  • RAG
  • Knowledge Base
  • Bot
MIT
Repo — coming soon