Enterprise & Security

Private, deterministic AI — your data never leaves your control.

Sigma Tech India builds AI for banks and regulated buyers: private and on-premise deployment, deterministic and auditable systems, and alignment with India's DPDP Act — accountable end-to-end to one in-house team.

Talk to us Our approach

Secure, private enterprise AI infrastructure by Sigma Tech India

How Sigma Tech India secures enterprise AI

Data stays with the client

Models are deployed privately — on-premise or behind your VPC — so sensitive data never leaves your infrastructure. Kundli Milan is a live precedent: birth details are processed in memory only and then discarded, with zero server storage.

Deterministic & auditable

Every decision returns the same output for the same input and records how it was reached, so results can be explained and reproduced for compliance and audit — the standard is automotive, not novelty.

India DPDP Act alignment

Private deployment and data minimisation are designed to align with India's Digital Personal Data Protection Act, 2023, which governs how personal data is processed.

In-house, end-to-end accountability

One team designs, trains, integrates and deploys the system, so there is a single point of accountability — no reselling, white-labelling or wrapped third-party APIs.

Your dataSigma AI layer (private / on-prem)Your systems

Integration schematic — the Sigma AI layer runs inside your perimeter; data flows client-to-client, never to a third-party service.

Key terms, defined

Enterprise AI, engineered end-to-end: Enterprise AI engineered end-to-end means the same team designs, trains, integrates and deploys an AI system into a client's live operations — not just a model handed over as a prototype. Sigma Tech India owns every layer, so the result is auditable, reproducible and accountable to one provider.
Deterministic AI: Deterministic AI is a system that returns the same output for the same input every time, making its decisions reproducible and auditable. Sigma Tech India builds deterministic, auditable systems for regulated industries where a result must be explained and repeated, not merely plausible.
On-premise (private) AI deployment: On-premise or private AI deployment keeps a client's data and models inside their own infrastructure or VPC rather than on a third-party service. Sigma Tech India deploys models on-prem or behind a client's VPC so sensitive data never leaves the client's control.
India DPDP Act alignment: DPDP Act alignment means an AI system is designed to comply with India's Digital Personal Data Protection Act, 2023, which governs how personal data is processed. Sigma Tech India's private-deployment and data-minimisation approach is built to align with the DPDP Act — its Kundli Milan app is a live precedent, storing zero birth details on any server.

We don't resell, white-label or wrap APIs. Every engine is designed, trained and shipped by us — auditable, reproducible, owned. The standard is automotive, not novelty.

Sigma Tech India — Engineering principle

The risk is ours; the result is yours. Clients pay only when the system is live and they are satisfied.

Sigma Tech India — Signature offer

Frequently asked questions

How does Sigma Tech India keep enterprise data secure?

Sigma Tech India keeps client data with the client — models are deployed privately, on-premise or behind the client's VPC, so sensitive data never leaves their control. Its systems are deterministic and auditable, aligned with India's DPDP Act, and accountable end-to-end to a single in-house team.

What does 'deterministic and auditable' mean for regulated industries?

A deterministic and auditable system returns the same output for the same input and records how each decision was reached, so results can be explained and reproduced for compliance. This is why Sigma Tech India frames its predictive and decision systems as deterministic and auditable rather than novelty AI.

Is Sigma Tech India aligned with India's DPDP Act?

Yes. Sigma Tech India's private-deployment and data-minimisation approach is designed to align with India's Digital Personal Data Protection Act, 2023. Its Kundli Milan app is a live precedent: birth details are processed in memory only and then discarded, with zero server storage and no login required.