Sovereign AI, built to run on
your premises.
A model is a component, not a product. BiltIQ builds the layer that turns one into a system your enterprise can actually deploy — grounded in your own data, run on your own infrastructure, and accountable for every decision.
Own Your AI Agents.
Not a SaaS Licence.
Pre-configured agent bundles for small teams. Custom-architected agent fleets for enterprise. All deployed on your infrastructure. Fixed cost, unlimited usage — no per-query fees, no cloud dependency.
Five AI Agents.
One Intelligent
Learning Platform.
Five specialised agents that personalise learning paths, generate assessments, provide 24/7 AI tutoring, and track performance. Built for 1M+ concurrent learners.
Your Workflows.
Your Agents.
Your Infrastructure.
Six capability pillars — Agentic AI, Custom AI-Native Apps, AI Orchestration, Document AI, Conversational AI, Voice & Video Intelligence. From GPU rack to production.
AI-Native Education.
NEP 2020 Aligned.
No Internet Needed.
204 curriculum modules across 4 age groups. Content generation, assessment, AI tutoring, and analytics agents — working together inside your campus network.
Your Data. Your Premises. Your AI.
Intelligence, Built In.
Headquartered in Jamshedpur, Jharkhand · Founded by Harish Kumar & Sonali Harish · Aarna Tech Consultants Pvt. Ltd.
Updated 2 May 2026
India's AI conversation is model-first. Enterprise value isn't.
Foundational models, benchmarks, parameter counts — that work matters. But a regulated hospital, bank, or defence unit can't do anything with raw model weights. They need retrieval over their own data, agents that take real actions, a privacy rail, on-premise deployment, and an audit trail — the entire layer that turns a model into a system that survives an inspection.
That layer is what BiltIQ builds. The models — open-weight today, domain-tuned over time — are components inside it. We don't compete with India's model builders; we're the layer their models reach the enterprise through.
Stop Bolting AI On. Start Building It In.
Most organisations are stuck with chatbots pretending to be AI. Here's what that actually costs you.
Six Capability Pillars. One Philosophy. Zero Cloud. Zero Risk.
Every engagement begins with your infrastructure. Every agent runs on your hardware.
Custom AI Agents Deployed on Your Infrastructure.
Product bundles for SMBs. Custom-architected agent fleets for enterprise. All on-premise. Fixed cost.
Personal Agents
Team Agents
Enterprise Agent Fleet
The BiltIQ AI Factory.
Hardware and software, engineered as one system and installed on your premises. Four layers, one request path — no bypass: open-weight models served on your own GPUs, Manthan RAG retrieval with citations, Agent OS taking scoped and budgeted actions, and a fail-closed privacy rail writing every decision to an immutable audit chain.
See how it works →What makes it genuine AI
“Genuine” isn’t a slogan for us — it has a precise meaning, and every one of these is built into the platform:
Grounded
Answers come from your documents, with citations. Not the public internet rephrased.
Private by architecture
Models, index, and memory live on your premises. No egress path. Privacy is a property of the system, not a clause in a contract.
Yours
Your accumulated context becomes a knowledge base you own, not a relationship you rent.
Accountable
Every retrieval and decision is written to an immutable audit trail.
Acts, not just answers
Agents take real, scoped actions inside your systems.
Ten Products. One Philosophy. Zero Cloud.
Every BiltIQ product is an agentic system — agents that ingest, reason, act, and learn on your infrastructure.
The Difference Between Bolting AI On and Building It In
- ✕Chatbot layer stapled on top of static systems
- ✕Reactive — waits for prompts, follows scripts
- ✕Generic responses with no organisational context
- ✕Your data transmitted to external servers
- ✕Per-query API costs that scale without ceiling
- ✕4–5 separate vendors for infrastructure + software
- ✓Intelligence embedded directly into operations
- ✓Proactive — agents anticipate needs and act
- ✓Grounded in your documents, your workflows, your context
- ✓Runs entirely on your infrastructure, full stop
- ✓Fixed cost. Unlimited usage. Predictable ROI
- ✓One partner — hardware, software, and maintenance
Same Agentic AI. Deployed for Your Sector.
One core platform, deployed per domain. We go deepest where sovereignty matters most — Education and Healthcare directly, BFSI and Manufacturing for regulated data and commercial IP, Government and Defence for sovereignty-critical, air-gap-ready deployments.
DPDPA & HIPAA-aligned architecture from day one. Air-gapped deployments available. Your data never crosses boundaries you didn't define.
Your AI runs on your electricity, not someone else’s cloud.
Frequently asked questions
What is on-premise agentic AI?
On-premise agentic AI is a system of one or more AI agents — LLMs that can plan, use tools, and act autonomously — deployed entirely on customer-owned infrastructure. No data is sent to a public cloud. BiltIQ AI deploys this stack hardware-to-software inside your data center or office.
How long does BiltIQ AI take to deploy?
Pre-configured Agents-as-a-Service bundles deploy in days, not quarters. Custom agentic systems typically take 4 to 12 weeks depending on integration complexity.
Is BiltIQ AI DPDP-ready?
DPDP-ready by architecture — data never leaves your premises, so the exposure the Act governs doesn’t arise. The Act’s substantive obligations commence 13 May 2027.
What hardware do I need for on-premise AI?
It depends on the workload, but far less than most people assume. Our own production fleet runs on NVIDIA DGX Spark nodes — 128 GB unified memory, 240 W each, the size of a mini-PC — each comfortably serving a 20-30 person department. Larger or multimodal workloads add a workstation-class GPU server. The whole fleet’s power draw fits under one domestic AC unit — no liquid cooling, no data center, no raised floor. We provide exact sizing in the architecture consultation.
How is BiltIQ AI different from OpenAI or Azure OpenAI?
OpenAI and Azure OpenAI sell access to a hosted model. BiltIQ builds the sovereign layer you deploy a model inside — retrieval over your own data, agents, and a privacy rail, running entirely on your premises. The model is a component; the deployable, accountable layer is the product.
Which industries does BiltIQ AI serve?
Healthcare, BFSI, Education, Manufacturing, Government, and SMBs across India. Specific solutions are listed at /industries.
How much does on-premise AI cost vs cloud AI?
Over a 3-year horizon, BiltIQ AI deployments are typically 60–80% cheaper than equivalent cloud SaaS or per-token cloud LLM pricing for sustained usage above ~10M tokens/day or ~50 concurrent users.
Honest disqualifiers included — read when you should use a cloud model instead.
Book an Architecture Consultation
Tell us what your data can’t leave. We’ll design the system that keeps it in. 30 minutes, no sales pitch — you leave with a concrete deployment path.
Your Data. Your Premises. Your AI.