AI capabilities integrated into the tools you use
When a standalone AI tool is not enough, we design and build the capability into your website, portal or internal systems. The result is a useful product feature or workflow, not a disconnected experiment.
Technical scope
- Retrieval-augmented generation over your private docs
- API wrappers and middleware for model providers
- Embeddings, vector search and evaluation pipelines
- Auth, rate limits, logging and cost controls
- Frontend UX for chat, search and copilots in Next.js or your stack
How we make integration reliable
We define the user problem, permitted data, quality threshold and operational owner before selecting technology. A small prototype validates the experience; production work adds authentication, monitoring, evaluation and the safeguards needed for real users.
Delivery process
- Discovery workshop and success metrics
- Architecture decision record and security review
- MVP in weeks, then iterate on quality and cost
- Handover docs, runbooks and optional retainership
What you receive
- A solution design aligned with your existing stack
- Working AI feature or integration in a safe delivery environment
- Data, access and cost-control configuration
- Evaluation cases and monitoring recommendations
- Technical documentation and a practical handover
Ideal for
- SaaS products adding AI-powered user experiences
- Client portals and internal knowledge tools
- Knowledge-heavy businesses that need reliable answers from approved sources
- Agencies embedding AI capabilities into their own services
How to start
Share the user problem, systems involved and the outcome you expect. We assess feasibility, data readiness and the smallest valuable MVP.
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