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    AI SYSTEMS ENGINEERING

    WE ENGINEERAGENTIC SYSTEMSTHAT SURVIVEPRODUCTION.

    Orchestration, retrieval, state and tool integration, wired into real APIs and real data — designed as one system rather than a chain of prompts.

    Start a projectSee our work
    // WHAT WE DOALL SERVICES →
    Agentic APIsMulti-step agents with real control flow, behind clean APIs, wired to the tools your business already runs on.READ MORE →Retrieval & memoryAnswers grounded in your own material, evaluated against cases you define rather than a public benchmark.READ MORE →Cloud infrastructureData, queues and deploys engineered by people who have carried the pager for systems like yours.READ MORE →Full product buildsMarketing site to CI/CD, so an idea becomes a product your team can actually maintain.READ MORE →
    How we work

    We treat AI like infrastructure, because in production it is.

    Scope the systemWe start from the workflow and the constraints around it, not the model. What it touches decides what it has to be.
    Build against real dataYour APIs, your records, your edge cases. Nothing is validated on a synthetic happy path.
    Prove it, then shipEvaluated against cases you define, traced per request, released behind CI with a rollback path.
    Hand over cleanlyArchitecture and runbooks written for your engineers, so the system does not depend on us to stay understood.

    An agent in your stack is a distributed system.

    And distributed systems are hard.

    The model call is the easy part. The engineering is everything around it: what the agent is allowed to do, what it reads before it answers, what happens when a tool times out, and how anyone tells afterwards what it did.

    We build the system with observability, tracing, and robust error handling from the start.

    // THE SHAPE OF A REAL ONEONE REQUEST, EVERY HOP
    1. USER
    2. RATE LIMIT
    3. NETWORK EDGE
    4. SESSION STORE
    5. API GATEWAY
    6. AUTH
    7. CACHE
    8. ROUTER
    9. RETRIEVAL
    10. VECTOR STORE
    11. KNOWLEDGE GRAPH
    12. MODEL
    13. FALLBACK
    14. TOOLS
    15. DATABASE
    16. QUEUE
    17. RESPONSE
    18. CLIENT

    TELEMETRY — TRACES, EVALS, COST ON EVERY EDGE

    // SELECTED WORK
    Patternwise

    An AI companion that listens to a spoken reflection and names the pattern running through it.

    Voice pipelineRetrievalPrivacy-first
    Talk or type, and build a record of your reflectionsVoice capture and transcription, so a reflection takes as long as saying it out loud.
    Structured memory that grows with youRetrieval across months of a person's own words, not a single session's context window.
    Your reflections stay yoursA privacy model designed before the product, so it can be honest about what it deliberately cannot read.
    Use it yourself ↗Talk to us about a build
    app.patternwise.io
    Patternwise on desktop — a journal entry alongside a feeling scale, mood tags and AI reflection prompts

    Tell us what you're
    building.

    Send the problem, the systems it has to touch, and the deadline. We will tell you what it takes to engineer it, or if it's not a fit we will help guide you to a better solution.

    Start a projectCONTACT@GRIF.AI