We add practical AI to your product or operations: assistants that answer questions from your own data, agents that complete tasks, and automation that reads and processes documents. We use Claude, OpenAI and other models, and we focus on measurable results.
We pick the use case with the clearest payoff and define how success will be measured.
A working prototype you can test with real examples before committing to a full build.
Assistants, agents, document processing or search, built into your product or workflow.
Answers grounded in your documents, website content and databases through retrieval-augmented generation, with access controls.
Tests, safeguards and human review steps where accuracy matters.
Usage tracking and cost controls so AI features stay predictable.
Teams that want AI features inside their product, or want to automate knowledge work such as support, document review, data entry and reporting.
The best first AI projects are narrow and measurable: an assistant that answers customer questions from your documentation, a tool that extracts data from invoices or contracts, an agent that triages inbound requests, or semantic search across your content. Each one saves hours every week and can be tested against real examples before launch.
We start with a prototype on your own examples, measure accuracy, and add guardrails, logging and human review where mistakes would be costly. We pick the model for each task, such as Claude or OpenAI, based on quality, speed, cost and privacy, and we design the system so the model can be swapped as better ones appear.
Fixed price, from $3,300
Cost depends on the use case, the amount of your own data involved, the accuracy required and the integrations needed. A focused prototype or feature starts from $3,300. AI works best on top of a solid product, so many clients combine it with a web app or MVP or with workflow automation.
AI feature projects start from $3,300. A focused prototype is quick; production features with your own data, evaluation and monitoring cost more. We agree a fixed price after a short workshop.
RAG lets an AI answer from your own content instead of guessing. We index your documents, help articles or website content, retrieve the relevant parts for each question and have the model answer from them, with sources and access controls.
Claude, OpenAI and others. We choose the model per task based on quality, speed, cost and privacy needs, and we design so models can be swapped later.
We design for privacy: you decide what data the AI can see, and we use provider settings and agreements that keep your data out of model training where available.
Any AI can be wrong, so we build evaluation, guardrails and human review steps where accuracy matters, and we measure quality before launch.
Yes. Most projects add AI features to an existing app, website or internal workflow.
We reply within one working day and send a fixed-price plan within three.