// build with us

Your own AI product, built by the studio that ships ours.

The same engineering team behind the Lorematics portfolio can build an AI product for your company. Same infrastructure, same bar, your brand, your IP.

// Assessment + product proposal

Discovery Sprint

A targeted assessment of the surface area you want built and a written product + topology proposal. You leave with a buildable plan; we leave with the option to build it.

// you leave with
  • Problem-space audit + opportunity map
  • Proposed product architecture and multi-agent topology
  • Surface-area and risk estimate for the build
  • Optional: a working spike on the highest-risk edge
// right fit if

You have a problem and believe an AI product is the answer — but want a second opinion before committing engineering resources.

Scope this engagement
// End-to-end product buildmost chosen

Build Engagement

End-to-end design, build, and production deployment of an AI product in your tenancy. Fixed scope, named engineering lead, replayable trace from day one.

// you leave with
  • Full product topology + policy library
  • Production deployment with replayable trace logs
  • Runbook, on-call playbook, and rollback paths
  • Post-launch stabilization window included
// right fit if

You have a defined product surface (internal ops, customer-facing, back-office) and a timeline.

Scope this engagement
// Fractional senior engineering

Embedded Advisory

Fractional principal engineer embedded in your AI team. Design review, guardrail policy authoring, pairing on the hard edges, hiring rubric for the people you're bringing in.

// you leave with
  • Recurring architecture review + async code review
  • Custom guardrail policies tuned to your domain
  • Hiring rubric + interview pairing for your AI hires
  • Direct Slack channel with the engineering team
// right fit if

You already have a team building AI products and want senior coverage on the architecture.

Scope this engagement
// what to expect

How engagements actually run.

No matter which format you pick, the operating posture is the same. These are the five things we tell every buyer before the first call.

  1. P01

    First call is the engineer.

    No SDR, no qualification team, no discovery deck. The person on the first call is the same person who will run the engagement if there is one.

  2. P02

    Discovery before scope, scope before estimate.

    We don't quote against a brief. We shape the problem first, then propose a product shape, then talk about timing and commercials — usually on a follow-up call, not the first.

  3. P03

    Built in your cloud — we never hold production data.

    Build code deploys to your AWS / GCP / Azure tenancy. Trace logs persist in your observability stack. Our access is read-scoped during the engagement window and revoked on completion.

  4. P04

    Replayable traces from day one.

    Every agent edge produces an idempotent trace event. If a production incident lands at 3am, replay-from-trace beats reconstruct-from-logs. We build for the on-call rotation that inherits the system, not the demo.

  5. P05

    If we can't ship it cleanly, we'll say so.

    Not every problem needs an AI product. About a third of discovery calls end with us recommending a simpler solution. We'd rather tell you that than sell you a topology.