AI integration

Models inside your product, not bolted on the side.

Brief · intro

Embeddings, retrieval, tool calling, and evaluation harnesses integrated into your existing auth, billing, and observability stack.

Section · examples

Examples

01
In-app research assistant
Grounded answers on your knowledge base with source links and rate limits per plan.
02
Semantic search upgrade
Hybrid keyword and vector search with relevance tuning and feedback capture.
03
Voice of customer mining
Cluster themes from surveys and chats, surfaced to PMs with representative quotes.

Section · use cases

01
Add a copilot without leaking data
Tenant isolation, prompt templates, and redaction pipelines matched to your policies.
02
Pick the right model mix
Latency-sensitive paths on smaller models, complex reasoning escalated thoughtfully.
03
Measure quality over time
Golden sets, regression tests, and dashboards stakeholders actually read.

Letters to the editor

Quote
“Integration was boring in the best way: it just worked with our SSO and logging expectations.”
SH
Samira H.
CTO, health tech

Subscribe · talk specifics

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