AI Platform
We deliver end-to-end technology solutions that drive innovation and create lasting business value.
AI Platform Portfolio
Production AI platforms engineered by Exuverse — RAG assistants, agentic automation, PII-safe document intelligence and enterprise search across 100M+ records. Real systems built to be accurate, governed and scaled, not demos.
Trusted engineering behind ProtectComply (India’s DPDP compliance platform) and IntelloWork (enterprise search & RAG chatbot).
Enterprise AI Projects Built for Real Impact
From secure document intelligence to autonomous AI assistants and unified enterprise search, these platforms represent scalable AI engineering designed for modern organizations.
Enterprise Document Sanitization & PII Redaction System
AI-powered document sanitization platform that automatically detects and redacts sensitive enterprise information including PII, PHI and financial data.
The system processes over 10,000 documents daily using AWS Bedrock Claude models for context-aware entity recognition. It supports PDFs, DOCX and images via OCR with configurable compliance policies and audit trails for GDPR, HIPAA and SOC2 compliance.
Intelligent Knowledge Base Chatbot with AWS Bedrock
Enterprise conversational AI platform powered by Retrieval-Augmented Generation architecture combining semantic vector search with structured enterprise data queries.
The chatbot integrates Apache Solr, Pinecone vector databases and semantic web ontologies enabling hybrid search across more than 50 million indexed records while delivering accurate contextual responses.
Agentic AI Migration: GPT-5 Autonomous Assistant
Autonomous agentic AI platform designed to handle complex multi-step workflows through dynamic tool execution and reasoning chains powered by GPT-5.
The system orchestrates multiple AI agents capable of database queries, API interactions and file operations while maintaining memory for long-term contextual reasoning.
Unified Enterprise Search Platform with AI Acceleration
Centralized enterprise search platform delivering unified discovery across enterprise applications including messaging, email, CRM and project management systems.
Powered by Apache Solr, Elasticsearch and Intel OpenVINO optimized AI models enabling semantic search across more than 100 million indexed documents with sub-200ms response time.
Platform Impact
100M+
Indexed Records
50k+
Monthly AI Interactions
98%
Document Accuracy
70%
Latency Reduction
85%
Manual Work Reduction
Ready to Build Your Next AI Platform?
Partner with Exuverse to design, engineer and scale enterprise AI platforms that solve real business problems with measurable impact.
Start Your ProjectHow We Build AI Platforms
We take AI from proof-of-concept to production — secure, evaluated and cost-controlled. It’s the same engineering discipline behind IntelloWork’s enterprise RAG chatbot and ProtectComply’s DPDP-aligned document intelligence.
Discover & Scope
We identify the highest-ROI use case, define success metrics against a real evaluation set, and map your data, access rules and compliance constraints before writing a line of code.
Prototype & Evaluate
A working prototype in weeks — RAG retrieval, agent workflow or document pipeline — measured on your data, not a cherry-picked demo. We tune chunking, embeddings and re-ranking for real precision.
Harden & Govern
PII handling, access control, prompt and response logging, guardrails and DPDP-aware data governance so the system is safe to run unattended and defensible under audit.
Deploy & Scale
Ship into your cloud or VPC with observability, model-cost controls and autoscaling — then expand across teams and workflows with a clear roadmap.
AI Platform FAQs
What’s the difference between a chatbot and a RAG assistant?
A plain chatbot answers from a general model and can hallucinate. A RAG (retrieval-augmented generation) assistant retrieves answers from your trusted documents and cites them — the exact architecture behind our knowledge-base chatbot and IntelloWork, tuned with hybrid vector plus keyword search for accuracy and traceability.
Can our data stay private and DPDP-compliant?
Yes. We can run models inside your own cloud or VPC, redact PII automatically, log prompts and responses for audit, and apply the same DPDP-aware governance we built into ProtectComply’s document sanitization platform. Your data is never used to train third-party models unless you explicitly allow it.
How do you handle enterprise-scale search and retrieval?
We combine Apache Solr, Elasticsearch and vector databases like Pinecone with re-ranking and semantic ontologies. Our platforms index 100M+ records with sub-second response, so retrieval stays fast and relevant even as your corpus grows.
What can agentic AI actually automate for us?
Multi-step workflows that used to need a human at every step — database queries, API calls, document processing, approvals. We orchestrate agents with memory and tool execution, always with human-in-the-loop where the stakes require it and a full trace of what the system did and why.
Which models and clouds do you work with?
We’re model- and cloud-agnostic — AWS Bedrock (Claude), Azure OpenAI, open-weight models — running on AWS, Azure or GCP. We choose the smallest, most cost-effective model that clears your accuracy bar, then control inference cost as you scale.
Ready to build an AI platform that actually ships?
Tell us the knowledge or workflow problem you want to solve. We’ll give you a straight answer on whether AI is the right fit — and exactly how we’d build it.
Book a Free AI Consultation