Question 1

Do you build industry-specific AI models?

Accepted Answer

We fine-tune open-source models on your domain-specific data — medical terminology for healthcare, financial jargon for BFSI, regulatory language for government. The fine-tuned model runs on your infrastructure and the weights belong to you.

Question 2

How do you handle industry-specific compliance?

Accepted Answer

By architecture, not policy. Every system runs on your premises — no data leaves your infrastructure. For healthcare, this means DPDP Act alignment by default. For government, air-gapped deployment. For BFSI, full audit trails and data residency compliance. The compliance is a byproduct of the on-premise architecture.

Question 3

Can the same product serve different industries?

Accepted Answer

Yes. ATC Manthan processes healthcare records, legal contracts, and policy documents equally well — the RAG pipeline adapts to your document types. ATC Chat handles patient queries, student questions, and citizen services. The product is the same; the knowledge base and configuration are industry-specific.

Question 4

What if my industry isn't listed?

Accepted Answer

We serve any organization that needs on-premise AI with data sovereignty. The five industries listed are where we have the deepest domain experience. If you're in legal, logistics, energy, or another sector, the same architecture applies — book a consultation and we'll scope it.

Question 5

How long does deployment take?

Accepted Answer

ATC product deployments take 3–5 days including configuration and testing. Custom integrations with existing enterprise systems (HIS, CBS, ERP) take 4–12 weeks depending on API availability and compliance review cycles.

Question 6

What GPU hardware is required?

Accepted Answer

Depends on use case and scale. Document AI runs on a single NVIDIA RTX 4090. Voice agents at call-center scale require A100 GPUs. University deployments need multi-GPU clusters. We spec exact hardware during the architecture assessment — and help you procure if needed.

Question 7

Do you offer ongoing support after deployment?

Accepted Answer

Yes. Every engagement includes ongoing maintenance — monitoring, model updates, performance optimization, and support. We maintain your AI stack so your team doesn't have to build that capability from scratch. This is built into the engagement model, not an upsell.

Industry	Top use cases	Compliance	Deploy time
Healthcare	Discharge summaries, radiology reporting, claims, clinical Q&A	DPDP, HIPAA-ready, NABH-compatible	3–6 weeks
BFSI	KYC review, fraud triage, internal Q&A, compliance reporting	DPDP, RBI, ISO 27001	4–8 weeks
Education	Adaptive tutoring, NEP 2020-aligned LMS, AI-graded assessment	DPDP	2–5 days (Quest LMS)
Manufacturing	SOP search, defect logs, predictive maintenance, voice checklists	ISO 27001	4–10 weeks
Government	RTI/file Q&A, citizen services, regional-language interfaces	DPDP, MeitY guidelines	6–12 weeks
SMBs	Pre-built agent bundles — chat, document AI, voice, social	DPDP	3–5 days

Same Stack.
Your Sector's Requirements.

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BiltIQ AI deployments by industry

Same Stack.Your Sector's Requirements.

Get Your Industry Assessment

BiltIQ AI deployments by industry

Same Stack.
Your Sector's Requirements.