Service : integrate
Make your product intelligent.
AI integration adds language, vision and reasoning capabilities to software you already have: copilots, semantic search, document understanding, generation features and agent actions, engineered into your product's architecture. Novistu integrates OpenAI, Anthropic and open-weight models into existing products with the evaluation and security work that keeps features dependable.
The mechanism
Copilots, semantic search, document understanding and generation features, engineered into the product you already have.
- Your product
- API layer
- Model
- Guardrails
- Data
The problem
What this fixes
Users expect AI in every product
Buyers now ask where the AI is. A product without intelligence feels dated, but bolting on a demo features erodes trust faster than not shipping at all.
The demo-to-production gap
A prompt that works in the playground fails on real user input. Latency, cost, abuse, edge cases and evaluation are engineering work, not prompt tweaks.
Your architecture has opinions
Existing auth, data models and infrastructure shape what can ship. Integration must fit your stack, your security posture and your roadmap.
How we build it
Principles before code.
01
Pick the feature users will feel
We help choose the first AI capability with real demand behind it: search that understands meaning, a copilot for the core workflow, or documents that read themselves.
02
Design for your architecture
Model calls wrapped in your backend, with your auth, your data boundaries and your observability. Streaming, batching and caching designed in.
03
Engineer the quality
Evaluation sets, regression tests, guardrails and fallbacks. The feature ships with a quality dashboard, not a prayer.
04
Control the economics
Per-user and per-feature cost tracking, caching, model routing by task complexity, so margins survive success.
Delivery
From first call to running system.
- 01
Scope
Choose the capability, define success metrics and map the integration surface.
1 week - 02
Prototype
Working feature behind a flag on real data; evaluate quality and cost.
1 to 2 weeks - 03
Harden
Security review, guardrails, evaluation suite and cost controls.
2 to 3 weeks - 04
Ship
Gradual rollout with dashboards, then hand over with documentation and training.
1 to 2 weeks
What you get
- Feature design and model choice documented with trade-offs
- Production integration into your codebase and infrastructure
- Evaluation suite and quality dashboard
- Guardrails: abuse, injection, PII handling, output policy
- Cost controls: caching, routing, budgets and alerts
- Team enablement: how to extend and maintain the feature
Questions
Asked before every build.
The one that meets your quality bar at acceptable cost and data terms. We are fluent with OpenAI and Anthropic APIs and with open-weight self-hosting, and we design the integration so models can be exchanged as the landscape shifts.
With the major providers' business APIs, no. For stricter requirements we deploy open-weight models inside your infrastructure so nothing leaves your environment.
That is the usual mode. We work in your repository, follow your standards and hand over with documentation and pairing so your team owns it confidently.
Caching, model routing by task complexity, per-user budgets and alerts. Cost per feature is on the dashboard from day one, not discovered on the invoice.
Tell us what is eating your team's hours.
A short brief, answered within one working day. The first call is free, and if AI is not the right answer, we will say so on that call.
First call free : honest about fit : no obligation