India's AI-Native Development Agency.
BiltIQ AI is the market brand of Aarna Tech Consultants Private Limited. We architect, deploy, and maintain complete AI systems — hardware to software to ongoing operations — entirely on your premises. No cloud. No vendor lock-in. One partner for your entire AI infrastructure.
Founded in Jamshedpur in 2021. Engineering-led from day one.
Founder · Aarna Tech Consultants Pvt. Ltd.
Harish leads BiltIQ AI's engineering practice — on-premise LLM deployment, agentic-system architecture, and GPU infrastructure for regulated Indian enterprises. Building since 2021 in Jamshedpur.
Co-Founder · Aarna Tech Consultants Pvt. Ltd.
Sonali drives BiltIQ AI's product strategy and operations — engagement design, customer success, and the productisation of services into the ATC suite.
Every industry we entered had the same problem — not a lack of AI, but a lack of AI that actually worked inside the business.
In 2021, when we started Aarna Tech Consultants Private Limited in Jamshedpur, the AI market was running on a familiar playbook: plug a chatbot into the corner, call it transformation, and invoice monthly for cloud API calls. The intelligence sat outside the organization. The data left the building. And the business operated no differently than before — just with a slightly smarter help button.
We asked: what if AI wasn't an add-on, but the architecture itself?
What if intelligence was embedded so deeply into an organization's systems that it understood documents, workflows, and decisions in real time — not as a query interface after the fact, but as a layer of cognition that ran alongside every operation?
That question became BiltIQ AI. We started building on-premise systems where the AI wasn't a service you connected to, but infrastructure you owned. From GPU server racks to the application layer to ongoing maintenance — we took responsibility for the entire stack.
“We didn't set out to be anti-cloud. We set out to build AI that organizations could actually trust with their most sensitive operations. On-premise was the only honest answer.”
Today, we serve five industries — Healthcare, Education, BFSI, Manufacturing, and Government — with six deep service capabilities, ten deployable products, and a growing team that thinks in systems, not features. We're DPIIT recognized, an NVIDIA Inception Partner, and DPDP Act compliant by architecture — not by policy.
The name says it: BiltIQ. Intelligence, built in.
We exist to give organizations complete ownership of their AI infrastructure — from the hardware it runs on, to the models it deploys, to the data it processes. Every system we build is designed so the client owns the code, owns the data, and controls the deployment. AI should be a capital investment that compounds, not an operating expense that escalates.
We envision a future where AI infrastructure is as standard as IT infrastructure — where hospitals, universities, banks, and factories each run their own intelligence layers, on their own servers, under their own governance. Not dependent on any cloud provider’s pricing, policies, or uptime. Self-sovereign AI at institutional scale.
We don't speak in projections. These are the numbers we've built to.
Every engagement follows a structured methodology — from infrastructure audit to production deployment to ongoing maintenance.
We start by understanding your existing infrastructure, data landscape, compliance requirements, and operational workflows. No generic questionnaires — a real engineering assessment of what you have, what you need, and what’s the shortest path to production AI.
We design the complete system architecture — GPU provisioning, model selection, RAG pipeline design, agent workflows, and application layer. Every decision is documented. You approve the architecture before a single line of code is written.
Development, integration, testing, and deployment — all targeting your on-premise infrastructure. Most ATC products deploy in 3–5 days. Custom systems take 4–12 weeks depending on scope. Air-gapped environments are standard capability.
We don’t deploy and disappear. Ongoing monitoring, model updates, performance optimization, and support are built into every engagement. Your AI stack gets better over time — and we maintain it so your team doesn’t have to build that capability from scratch.
Every decision we make — from model selection to deployment architecture to pricing — is filtered through these three commitments.
Your data never leaves your servers. Every system we build runs on your infrastructure — air-gapped if needed. We don’t offer a cloud option because we don’t believe your sensitive data should be anywhere but your premises.
Our agents don’t start autonomous. Every agent begins with human review (T1). After 95% agreement over 200+ decisions, it earns T2 status — auto-execution with notification. Critical actions remain permanently human-reviewed.
We don’t hand off hardware to one vendor, software to another, and maintenance to a third. We architect, deploy, and maintain the complete stack — GPU servers through application software through ongoing operations.
This isn't a preference — it's an architectural position rooted in how regulated industries actually operate.
Patient records, financial transactions, student data, production telemetry — your most sensitive data stays on your servers, inside your firewall, under your governance.
Cloud AI costs escalate with usage — the more successful the system, the more expensive it becomes. On-premise is a capital investment with a declining marginal cost.
When your AI runs on the same network as your applications, inference latency drops to single-digit milliseconds. For real-time voice and video, this is the difference between usable and unusable.
You own the code. You own the models. You own the infrastructure. If you ever want to part ways with us, you keep everything — every line of code, every fine-tuned model, every byte of data.
30-minute architecture consultation. We'll assess your stack, recommend a deployment path, and give you a real TCO estimate.
Recognized by the Department for Promotion of Industry and Internal Trade, Government of India.
Member of NVIDIA’s Inception program for AI-native startups — access to GPU resources, technical training, and go-to-market support.
Architecture designed for compliance with India’s Digital Personal Data Protection Act, 2023. Data sovereignty by design, not by policy.
Five layers. All on your premises. All maintained by us.
GPU servers, networking, cooling — we specify, procure, or help you configure the hardware
LLMs (Qwen3, DeepSeek-R1), embeddings, vector DB, RAG pipelines, MCP protocol
Agentic systems — autonomous task execution with progressive autonomy and human governance
ATC suite — Manthan, Quest LMS, Campus, Chat, Voice, Flow, Connect, Social, CMS, Ops
Monitoring, updates, support, optimization — we maintain your AI stack, ongoing
Each pillar is a deep capability — not a feature list.
Multi-agent systems with progressive autonomy on your infrastructure.
Explore →Full-stack AI applications — LLM, RAG, MCP, fine-tuning.
Explore →Subscribe to agents, not SaaS. Personal, team, enterprise tiers.
Explore →GPU provisioning, multi-model management, infrastructure operations.
Explore →RAG pipelines, knowledge bases, multi-channel agents.
Explore →ASR, TTS, voice agents, video analysis. Sub-200ms latency.
Explore →A small, senior team that builds production AI systems — not slide decks about AI.
Systems thinker. Sets product direction, leads architecture decisions, and owns client relationships. Background in AI engineering and enterprise strategy.
Responsible for infrastructure deployment, GPU cluster management, and ensuring every system runs at production grade on client premises.
Handles system integration, deployment pipelines, and the operational layer that keeps AI infrastructure performing reliably at scale.
Every system we build runs on your infrastructure. DPDP Act compliant by architecture. Zero cloud dependency.
We architect, deploy, and maintain. You own the infrastructure, the code, and the data. One partner. Zero cloud.
Your Data. Your Premises. Your AI.
