Generative AI in your product, not in a sandbox.
We integrate the right model behind the right interface, with the right guardrails, so the feature ships and the bills don't surprise you.
- Integration to launch
- 0-8wk
- Cost reduction
- 0-60%
- Streamed first token
- <0ms
- Vendor lock-in
- 0
More than calling an API.
Generative AI integration is routing, caching, prompt management, eval, and provider abstraction. We build the glue layer so swapping models is a config change, not a refactor.
- Provider abstraction across OpenAI, Anthropic, Google, and open-weight
- Caching, routing, and fallback for cost and reliability
- Prompt and tool-definition versioning under change control
From discovery to production.
- 01
Discover
Map the integration points, the latency budget, the cost target, and the failure modes.
- 02
Prototype with evals
Pick the model, the prompt, the retrieval if any, and the eval set. Validate before broad rollout.
- 03
Deploy
Production rollout with feature flags, cost caps, fallback providers, and observability dashboards.
- 04
Operate
Continuous evals, cost watch, and quarterly model swap evaluation as the frontier moves.
Adding a chat or summarisation feature and worried about the bill?
Book a 30-min consultWhat you get.
Cost predictable, latency tight, fallback automatic.
Per-feature cost dashboards, per-call latency budgets, and automatic provider fallback when a vendor has an incident. The bill at month-end is never a surprise.
- Per-feature cost dashboards and budget alerts
- Automatic fallback across providers when incidents hit
- Cached responses for high-volume, low-variance prompts
Common questions.
Ship a generative feature your CFO will sign off on.
Free 30-minute consultation. We'll size cost, latency, and quality before you commit.
Schedule consultation