AI Solutions
Generative AI Apps Grounded in Your Data
Chat assistants, copilots and knowledge search grounded in your documents with retrieval-augmented generation (RAG).
The Problem
General chatbots sound confident and get your business wrong. Useful generative AI has to answer from your own documents and data, show where answers came from, and know when to say it does not know.
What We Build
- Knowledge search over your documents (RAG)
- Customer and employee chat assistants
- Copilots inside your existing tools
- Conversational AI on web, WhatsApp and voice
- Drafting and summarization workflows
Process
- 01
Use-case fit
We start with the business process and the ROI, not the model.
- 02
Model selection
OpenAI, Anthropic Claude, Google Gemini or open-source models, chosen per task for cost and accuracy.
- 03
Grounding & guardrails
Your data, access controls, prompt-injection defenses and human review where needed.
- 04
Evaluation
Test sets and measurable accuracy before and after launch.
- 05
Monitoring & cost control
Usage, latency and spend tracked in production.
Use Cases
Retail
Product search and support bots.
Healthcare
Clinical note summarization.
Education
Course assistants grounded in your material.
Technology We Use
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-source models
- Python
- Node.js
- PostgreSQL
FAQ
What is retrieval-augmented generation (RAG)?
RAG retrieves the most relevant passages from your own documents and gives them to the model, so answers are grounded in your content and can cite their sources.
How do you stop the assistant making things up?
We ground answers in your data, test them against evaluation sets before launch, add guardrails, and design the assistant to say when it does not know.
Is our data safe?
We use enterprise API terms with no training on your data, private deployments where needed, and role-based access.
Find the AI use case worth building first.
A free readiness session with a senior engineer: your processes, your data, and where AI will actually pay off.
Hire developers
Dedicated developers or a full team working only on your roadmap.