AI Chatbot Development
Assistants grounded in your data, not hallucinations.
A chatbot is only useful if it answers from your actual content and knows when it does not know. We build assistants grounded in your documentation and data, with guardrails so they stay accurate.
We handle the production concerns most demos skip: streaming responses, evaluation, fallbacks, and token cost controls, so the bot stays helpful and affordable after launch.
What this includes
- Answers grounded in your content
- Streaming chat interface
- Guardrails and graceful fallbacks
- Evaluation to measure accuracy
- Token cost monitoring and limits
Common questions
How do you stop it from making things up?
We ground answers in your data, constrain the output, add checks, and measure accuracy instead of assuming it.
Can it answer from our docs and data?
Yes. We use retrieval so the assistant draws from your documentation and content rather than only the model's general knowledge.
