Documents, databases, manuals, textbooks — any domain, any language, any industry.
We build retrieval-augmented AI systems that answer questions strictly from your own knowledge base — with zero hallucination, full auditability, and 90% lower cost than enterprise alternatives. Production-proven across education, enterprise, and government.
Retrieval-Augmented Generation is the pattern. We handle the engineering — chunking strategy, embedding models, semantic retrieval, safety layers, streaming — so it works reliably in production from day one.
PDFs, Word files, database content, CMS articles, manuals — any format your knowledge lives in. Nothing moves; we read from where it already is.
Content is split into 400–600 token semantic units. Each chunk is converted into a vector embedding — a mathematical fingerprint stored in your own database.
When a user asks a question, we find the most relevant chunks using vector similarity — not keyword matching. The right context, every time.
The LLM answers only from the retrieved chunks. No internet. No general knowledge. No hallucination beyond your documents. Every answer is auditable.
The same RAG architecture adapts to any industry where knowledge needs to be instantly accessible, accurately sourced, and conversational.
Curriculum-exact AI tutors for any board or university. Students ask questions in their language, get answers from their exact textbook, 24/7 — including midnight before exams.
Regulatory Q&A across RBI, SEBI, FCA, MAS, ASIC guidelines. Loan product FAQs. Compliance documentation — zero hallucination, full audit trail on every response.
Clinical protocol lookups, drug interaction queries, patient FAQs — strictly from approved, version-controlled documents. HIPAA-friendly on-premise deployment available.
Contract clause search, regulatory Q&A, policy audit trails. Every response traceable to the exact source clause. Built for organisations where accuracy is non-negotiable.
New joiner onboarding Q&A, leave policy, payroll FAQs, code of conduct — answered in seconds, in the employee's language. Reduces HR helpdesk load by 60–70%.
Citizen services, welfare scheme queries, inter-department knowledge sharing — in vernacular languages, on any device, with no new app download required.
Vidya is our live proof — the same RAG pattern deployed for Telangana's government school students. Try it. Ask a question. See what your enterprise deployment will feel like.
Open-source stack. No per-user licensing. LLM-agnostic — swap Claude for Llama 3, GPT-4o, or Mistral with one config change. Deploy on your infrastructure, on any cloud, or fully air-gapped.
Up to 96% cheaper than Microsoft Copilot M365 — same RAG capability, zero vendor dependency
Not demos. Not proofs of concept. Production systems serving real users, with real documents, in real languages, with real consequences for getting it wrong.
Not generic internet AI. Every response comes from your indexed knowledge base. If the answer is not in your documents, the system says so — honestly.
Telugu, Hindi, English — fully conversational, not just translated labels. Proven in the hardest multilingual context: government school students writing in Telugu script.
On-premise deployment with Ollama. Your documents never leave your server — not to us, not to OpenAI, not to anyone. GDPR, PDPA, Privacy Act compliant by architecture.
Vidya is live at joinameeting.net right now. You can try it in 30 seconds before any conversation about your deployment. We show you working code, not slides.
Swap Claude for Llama 3, GPT-4o, or Mistral with one config change. No re-architecture. No new contract. As open-source models improve, your system improves.
Every question asked, every answer given — logged with source document reference. Your compliance team can trace every response to the exact chunk it came from.
Jampani Solutions was founded in Hyderabad, Telangana with one conviction: AI should work for everyone — not just organisations with enterprise budgets and English-first users.
We build production-grade AI knowledge systems using open-source technology and modern LLM architectures. Our work is proven in arguably the most demanding real-world context available — serving government school students across Telangana with textbook-exact answers in Telugu, where getting it wrong has real academic consequences.
We bring this same architecture to enterprises, government departments, healthcare organisations, and educational institutions globally — deployable on any cloud, VPS, or fully on-premise with Ollama.
Whether you are a school, hospital, bank, government department, or enterprise — if you have documents and users who need answers, we should talk.
Hyderabad, Telangana, India