FULL-STACK AGENTIC ENGINEERING — HOUSTON, TX
We engineer agentic systems that survive production.
Griffin Labs builds AI products end-to-end: agent frameworks wired into real APIs, retrieval, and the tracing, cost control, and observability that keep them running in production. Not demos. Systems that hold up.
// ILLUSTRATIVE
TRAINING → DEPLOY MONITOR
// WHAT WE BUILD
01 — 05
One team, the entire agentic stack — not a slice of it.
Agentic APIs
Agents behind clean APIs
Agent frameworks bundled behind versioned, dependable APIs — tool-calling, orchestration, and guardrails your product can actually build on.
Retrieval & Memory
RAG done properly
Embeddings, vector search, and graph structures that give agents real context — grounding instead of guesswork.
Model Engineering
Fine-tuning & evals
Fine-tuning, evaluation harnesses, and prompt systems measured against real tasks — not vibes.
Cloud Infrastructure
DB, cache, pub/sub, CI/CD
Databases, caching, and pub/sub wired into observable, auto-scaling deployments. Built by someone who has carried a pager.
Full Product Builds
Marketing site to CI/CD
The whole lifecycle — from the marketing site to CI/CD — so an idea becomes a shipped, maintained product.
// HOW WE WORK
We treat AI like infrastructure, because in production it is.
01
Map the system
We start with architecture, not prompts. Where data lives, what has to be reliable, and what "done" actually means.
02
Build the stack
API, retrieval, models, and infrastructure assembled as one coherent system — not a notebook glued to a UI.
03
Harden & evaluate
Evals, observability, and failure modes. Reliability engineering applied to non-deterministic systems.
04
Ship & operate
CI/CD, monitoring, and a real maintenance path. The system goes live — and stays live.
// ANATOMY
Every agent we ship is a real request lifecycle.
No magic box. Authenticated requests, orchestration, grounded retrieval, evaluated models, and observable actions — engineered as a system.
// ANATOMY OF AN AGENTIC SYSTEM
How a request actually moves through what we build.
Authenticated, rate-limited
Plans, routes, calls tools
Grounds the model in real context
Decisions & generation
Writes, integrations, side-effects
Validated, traced, observable
SHARED INFRASTRUCTURE
Postgres
system of record
Redis
cache & sessions
Pub/Sub
async jobs & events
Observability
traces, evals, alerts
CI/CD
test, build, ship
LIVE PRODUCT
Patternwise
Most journaling apps help you record your life. Patternwise helps you understand it — an AI personal-growth companion that turns spoken reflections into transcription, pattern recognition, and specific, actionable guidance.
A full-stack proof of what we do: voice pipeline, on-device privacy, retrieval over a user's own history, and a model layer that surfaces trends a person would never spot alone. Built, shipped, and in real hands.
// LIVE AI INSIGHTS
// IN THE LAB
What we're building right now.
We're early and we'd rather be straight about it. Here's the real work in motion — shipped, in progress, and just starting.
Patternwise
An AI personal-growth app that turns voice journaling into pattern recognition and guidance. Shipped, in users' hands, and our deepest case study.
Agentic research pipelines
Scoping autonomous research pipelines with an academic researcher. Early and not yet formalized, with an enterprise track spec'd in parallel.
First agentic engagement
Beginning contract work on agentic developer tooling. Early — but real, paid, production-bound.
// WHY GRIFFIN LABS
Founder-led, infrastructure-grade, accountable.
Reliability roots
Years of reliability engineering. We build AI to be monitored and supportable, not to demo once and break in prod.
The whole stack
Agents, retrieval, models, infra, and the product around them — one accountable team instead of five vendors.
Direct access
You work directly with the people doing the work. Decisions are fast, and context is never lost in a chain of account managers.
Low-risk start
Begin with a scoped discovery sprint — a real architecture and plan you own, before committing to a full build.
Let's build something that actually ships.
Tell us what you're trying to build. We'll tell you straight whether — and how — agentic systems get you there.
Start a conversation