We design and build custom AI chatbots and assistants trained on your own data — using Retrieval-Augmented Generation (RAG) and leading language models — so your customers and team get accurate, instant answers, 24/7.
A RAG pipeline grounds the assistant in your documents, help center, and knowledge base — so answers are accurate, not generic.
Semantic search returns answers with sources, so users (and you) can trust where every response came from.
OpenAI, Azure OpenAI, or open-source models — we pick the right one for your accuracy, privacy, and cost needs.
Drop it into your website, app, Slack, or WhatsApp, and connect it to your CRM, docs, and internal tools.
Deployed on your cloud with tenant isolation and access control. Your data stays yours.
Engineered for low-latency responses under load, with monitoring and a clean path to scale.
We map your use case, data sources, and success metrics on a short call.
We ingest your data, build the RAG pipeline, and wire up the model + interface.
We evaluate answer quality, fix gaps, and tune retrieval for accuracy.
We deploy to your cloud, hand over docs, and support the rollout.
A focused, production-ready AI assistant typically takes around 3 to 4 weeks, depending on data volume and integrations. We confirm the timeline on the discovery call.
We are model-agnostic. We work with OpenAI, Azure OpenAI, and open-source models, and recommend the best fit for your accuracy, privacy, and budget requirements.
Yes. We build a Retrieval-Augmented Generation (RAG) pipeline over your documents, knowledge base, and data so the assistant answers from your content with citations.
Yes. We deploy on your cloud with tenant isolation and access controls. Your data is never used to train third-party models.
Your website or web app, mobile app, or channels like Slack and WhatsApp. It can also connect to your CRM and internal tools.
Book a free discovery call and we will scope it with you on the spot.
Book a Discovery Call