About
About H2K ITECH
We build H2K AI Knowledge Assistant so organizations can turn manuals, policies, and operational documents into a private AI knowledge layer with cited answers.
Founder
Hiren Patel · Founder
Building secure RAG systems for document-heavy operations, support, and compliance teams.
Hiren founded H2K ITECH to help organizations turn scattered manuals, policies, and operational documents into a private AI knowledge layer teams can trust.
hiren@h2kitech.comOur story
Critical knowledge is trapped in PDFs and shared folders. Employees waste hours searching — or ask the same questions again. H2K ITECH ships a focused MVP first: document upload, semantic search, and cited chat — then expands with integrations and workflows.
How the product works
Step 1
Upload
Add PDF, DOCX, and XLSX files. We extract, chunk, and embed them into your private knowledge base.
Step 2
Ask
Employees search or chat in plain language. Retrieval finds the most relevant passages for your tenant.
Step 3
Cite
Answers include source citations so teams can open the passage and verify before they act.
Technology stack
A practical RAG stack designed for multi-tenant enterprise use.
Modern LLMs
Gemini and OpenAI providers for chat and embeddings
PostgreSQL + pgvector
Tenant-scoped vector storage for RAG retrieval
Background workers
Async extract → chunk → embed indexing pipeline
Next.js platform
Secure web app for admins and employees
Multi-tenant architecture
Data isolation and role-based access controls
Contact
Email hiren@h2kitech.com. We reply within 1 business day. Privacy and security links are in the site footer.