AI & Enterprise Solutions
Generative AI, LLMs & RAG
Copilots, chatbots and RAG that work in production.
Overview
We design retrieval-augmented generation systems, enterprise copilots, AI chatbots and virtual assistants with the retrieval, evaluation, and guardrails that make them dependable, not demos.
Key benefits
- Answers grounded in your own trusted data
- Sub-second retrieval at scale
- Citation transparency & hallucination guardrails
What's included
- RAG pipelines (hybrid retrieval + reranking)
- Enterprise copilots & virtual assistants
- Multimodal document intelligence
- Evaluation suites & regression testing
- Prompt-injection defenses
- Channel rollout: web, Slack, Teams, WhatsApp
Technologies
OpenAIAnthropicGeminiPineconeWeaviateChromaDBLangChain
Our delivery process
- 1 · Discovery & scoping (1–2 weeks)
- 2 · Architecture & governance
- 3 · Agile build with weekly demos
- 4 · Production deployment & run
FAQ
Frequently asked questions
Which vector database do you use?
It depends on scale and compliance — Pinecone for managed, Weaviate or ChromaDB self-hosted.
Can it use our internal documents?
Yes — RAG is built on your own data with role-based access scoped into retrieval.
Pricing inquiry
Request a proposal for Generative AI, LLMs & RAG
Tell us about your project and we will respond within one business day with next steps and a tailored estimate.
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