AI & Generative Platforms
We design and ship production-grade AI platforms — RAG assistants, autonomous agents, and generative systems — that turn your company’s data into decisions, automation, and measurable ROI. Not demos. Enterprise systems built to be secure, governed, and scaled.
Trusted engineering behind ProtectComply (India’s DPDP compliance platform) and IntelloWork (enterprise search & RAG chatbot).
Generative AI That Ships to Production
Most AI projects stall at the proof-of-concept. We’ve taken generative and retrieval systems all the way to live, revenue-bearing products — so we build yours with production realities (accuracy, latency, cost, governance, and data privacy) baked in from day one.
Automate Real Business Workflows
We map the workflows that actually cost you time — support triage, document processing, approvals, reporting, research — and rebuild them as AI agents with the guardrails to run unattended.
Every automation is instrumented: you see what the model did, why, and where a human stays in the loop. The result is fewer manual hours, faster turnaround, and an audit trail your compliance team will accept.
RAG Assistants Grounded in Your Knowledge
Generic chatbots hallucinate. We build retrieval-augmented (RAG) assistants that answer strictly from your trusted sources — policies, product docs, tickets, contracts — with citations back to the source.
This is the exact architecture behind IntelloWork, our enterprise search chatbot: chunking and embeddings tuned for relevance, re-ranking for precision, and access controls so users only ever see what they’re permitted to.
Custom Models & Data-Driven Intelligence
Off-the-shelf models rarely fit regulated or domain-specific work. We fine-tune and constrain models on your data, evaluate them against real tasks, and ship the smallest model that meets the bar — so you get accuracy without runaway inference cost.
For privacy-sensitive workloads we can run entirely within your cloud or VPC, the same discipline we applied building ProtectComply’s DPDP-aligned AI features.
Enterprise AI Platform Capabilities
Everything you need to move from experiment to a secure, governed AI platform — automation, retrieval, generation, and the infrastructure to run it at scale.
AI Workflow Automation
Agentic automation for approvals, responses, document handling and back-office workflows — with human-in-the-loop where it matters.
RAG-Based Assistants
Retrieval-augmented assistants that answer from your trusted data with citations — the IntelloWork architecture, tuned to your domain.
Content Generation
On-brand marketing, operational and technical content pipelines with review gates so nothing ships unchecked.
Code Assistance
AI-assisted development, code review and documentation wired into your engineering workflow and repos.
Predictive Intelligence
Forecasting, recommendations and anomaly detection built on your historical data and business signals.
Secure & Governed AI
Access control, PII handling, prompt/response logging, evaluation and DPDP-aware data governance — compliance-ready by design.
Enterprise Integration
Connect AI to your CRMs, ERPs, data warehouses, document stores and internal APIs so it works inside your stack.
Scalable Cloud AI
Cost-aware deployment on AWS/Azure/GCP with autoscaling, observability and model-cost controls.
How We Build Your AI Platform
A pragmatic path from idea to a system your team trusts in production.
Discover & Scope
We identify the highest-ROI use case, define success metrics, and map your data and constraints.
Prototype & Evaluate
A working prototype in weeks, measured against a real evaluation set — not a cherry-picked demo.
Harden & Govern
Guardrails, access control, logging, cost and privacy controls so it’s safe to run unattended.
Deploy & Scale
Ship to your cloud with monitoring and a roadmap to expand across teams and workflows.
AI & Generative Platforms 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, so responses are accurate, current and traceable — essential for enterprise use.
Can our data stay private and DPDP-compliant?
Yes. We can run models within your own cloud or VPC, mask PII, log prompts and responses for audit, and apply the same DPDP-aware governance we built into ProtectComply. Your data is never used to train third-party models unless you explicitly allow it.
How long does a first AI project take?
Most engagements produce a working, evaluated prototype in a few weeks, with a production-hardened rollout following once the use case is proven. We scope for the fastest path to measurable value.
Do we need to be a large enterprise to work with you?
No. We work with growing teams as well as enterprises — the difference is only in scope. The engineering discipline (evaluation, security, cost control) is the same regardless of size.
Which models and clouds do you work with?
We’re model- and cloud-agnostic — OpenAI, Anthropic, open-weight models, and managed services on AWS, Azure and GCP. We choose the smallest, most cost-effective model that meets your accuracy bar.
Ready to build an AI platform that actually ships?
Tell us the workflow or knowledge problem you want to solve. We’ll tell you honestly whether AI is the right fit — and how we’d build it.
Book Your Free Consultation