AI Products & Integrations
AI features that do real work — not just a chatbot bolted on.
We build AI into products where it creates real value: personalized coaching, answering questions over your own data, processing documents, and automating repetitive decisions. We design for accuracy, cost and safety from day one — because demos are easy and production is hard.
You might need this if…
- You want to add an AI assistant or copilot to your product
- Your team spends hours reading, classifying or summarizing documents
- You have proprietary data that could power a better customer experience
- An AI prototype works in demos but not reliably in production
What we build
AI Products & Integrations: what we deliver
AI assistants & copilots
Conversational experiences grounded in your product and data — like our AI fitness coach, BFit.
Retrieval over your data (RAG)
Search and answer questions across documents, knowledge bases and databases, with citations.
Document & data processing
Extract, classify and validate data from PDFs, emails and forms at scale.
Agentic workflow automation
AI agents that take actions through your tools with guardrails and human approval.
Deliverables
What you get
- Use-case discovery and feasibility assessment
- Model selection and cost modeling
- Prompt design and connection to your data and tools
- Evaluation suite to measure accuracy
- Guardrails, monitoring and usage limits
- Production integration into your product
Technology
Proven, modern stack
We use established, well-supported technology so your product is easy to maintain and hire for. Typical choices for this kind of project — others on request:
- OpenAI
- Anthropic Claude
- Vercel AI SDK
- Vector search
- Next.js
- TypeScript
How the engagement works
- 01 Discovery — 1–2 weeks
- 02 Design — 1–3 weeks
- 03 Build — 6–12 weeks
- 04 Launch & grow — Ongoing
FAQ
AI Products & Integrations — common questions
Which AI models do you work with?
We are model-agnostic and choose based on quality, speed, cost and data-privacy requirements — commonly OpenAI and Anthropic Claude.
Is our data safe?
We design with data minimization in mind, use providers that do not train on your data, and can deploy in your own cloud account when required.
How do you make sure the AI gives correct answers?
We build an evaluation set from real examples, measure accuracy before launch, ground answers in your data, and add guardrails and human review where the stakes are high.
Planning a product? Let’s talk it through.
Tell us what you're building. Within 1 business day you'll hear back directly from the engineer who would build it — with honest feedback on scope, approach and budget.
Projects typically start at $10K.