AI for real products

Models that ship—installed, tuned, yours

Bold when it needs to be, calm where it counts: we deploy and refine AI for small platforms with clear stories, fast pages, and interfaces people can actually use.

We install and tune AI models for small-scale platforms across different proposals: copilots, support, document flows, light RAG, routing, scoring. You get depth where it matters—evaluation, guardrails, runbooks—not a generic “AI layer” nobody owns.

Typical first deploy 3–6 wk
Where it runs Your infra
Handover Docs + run

From blank GPU to governed traffic

Expressive engineering, user-centred defaults: latency caps, audit-friendly logs, and UI copy that matches how your team actually works.

Installation that fits your risk profile

On-prem GPU, single-tenant VMs, or private endpoints—ports, secrets, and backups documented so security sign-off is boring (in a good way).

Tuning with your voice

Prompts, light adapters, tool contracts, and regression tests on the questions your users already ask—so improvements are measurable, not vibes.

Performance on purpose

Streaming, batch, cache strategy, and spend ceilings—immersive experiences shouldn’t mean surprise bills or sluggish first tokens.

Storytelling in the handover

Runbooks your on-call can follow at 2 a.m., optional care retainers, and docs that read like a narrative—not a dump of curl commands.