01
Retrieval architecture (RAG)
Your documents, tickets, and data indexed for retrieval with the chunking, embedding, and reranking choices that separate accurate copilots from confident nonsense.
/ 06 — Service
Custom AI systems put your company's private knowledge to work: internal copilots that answer from your documentation, decision-support tools trained on your historical data, and AI features embedded in your own product. Sennova Labs designs and ships these systems end-to-end — model selection, retrieval architecture, evaluation, and deployment.
/ The symptoms
/ What you get
01
Your documents, tickets, and data indexed for retrieval with the chunking, embedding, and reranking choices that separate accurate copilots from confident nonsense.
02
A test suite of real questions with graded answers, run on every change — so quality is measured, not vibes-based.
03
Deployed in your cloud or ours, with SSO, role-based access to sensitive sources, and full audit logging.
04
For software companies: AI capabilities designed and built into your product — scoped for reliability and unit economics, not just demos.
/ Questions
Most clients do both: we ship the first systems in weeks and hand over clean architecture, evaluation harnesses, and documentation that a future in-house team inherits gladly. You get speed now without lock-in later.
The one that wins on your evaluation set at your price point — we're vendor-neutral across Claude, OpenAI, Gemini, and open-weight models, and we architect so the model layer is swappable as the market moves.
You do. Code, prompts, evaluation data, and documentation are delivered under a work-for-hire agreement.
See it applied in your industry
/ Free AI audit
The free audit maps your current process, measures the hours, and models the payback — before you spend anything.
No obligation · Roadmap is yours to keep