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humaineeti

DPDP-AID · Data Privacy & Compliance Consent is a data structure, not a checkbox.

  • True discovery
  • Continuous compliance
  • DPDP Act 2023

A true-discovery engine that parses your code, schemas, endpoints and unstructured artefacts for real data lineage, processing purpose and DPDP violations — down to the individual data principal.

Up to ₹250 crore
Maximum penalty per breach
13 May 2027
Full compliance deadline, phased in since November 2025
B2C · B2B · B2B2C
Every model in scope: consent, processor and intermediary chains

Why DPDP-AID

Two common approaches to DPDP. One gap remains.

Approach A

Consent management SaaS

A licensed platform to capture, store and manage consent from now on. It cannot see what your existing systems have already processed without consent.

Approach B

Audit or consulting partner

A gap assessment built on interviews and self-reported inventories. A snapshot in time, not a living system of record.

humaineeti

True discovery

Parses your actual code, schemas, legacy data and artefacts for data lineage — continuously, down to the individual data principal and processing purpose.

How it works

How DPDP-AID runs.

  1. / 01

    Discover

    Every line of code, schema, endpoint and unstructured artefact, parsed.

  2. / 02

    Map

    Source-of-truth lineage and processing purpose, down to the data principal.

  3. / 03

    Generate

    Data protection impact assessments (DPIA), the record of processing activities (ROPA), data subject access request (DSAR) responses and clause-to-control, generated autonomously.

  4. / 04

    Monitor

    Continuous, not a snapshot — violations surfaced as they appear.

See it on your own data

Watch DPDP-AID work on a real use case, in a 30-minute live demo.

Free. Then a scoped proof of concept at no cost, before you commit.

At a glance

DPDP-AID against the usual approaches.

  • Sees legacy data already collected

    Consent SaaS
    Audit / GRC
    DPDP-AID
  • Traces cross-border transfers at source

    Consent SaaS
    Audit / GRC
    DPDP-AID
  • Maps every PII field to a discovered processing activity

    Consent SaaS
    Audit / GRC
    DPDP-AID
  • Continuous, not a one-time snapshot

    Consent SaaS
    Audit / GRC
    DPDP-AID
  • Autonomous DPIA, ROPA register, DSAR response and clause-to-control

    Consent SaaS
    Audit / GRC
    DPDP-AID
  • Autonomous agents inside your own secured private cloud

    Consent SaaS
    Audit / GRC
    DPDP-AID

✓ delivered · — not addressed.

Inside the solution

DPDP-AID, drawn out.

True discovery — more than finding data at rest
True discovery — more than finding data at restParses every line of your code, schemas, endpoints and unstructured artefacts for source-of-truth lineage, purpose and violations.
Agentic continuous compliance
Agentic continuous complianceAgent swarms across multiple sources of truth, with specialised agents for DPIA, DSAR, ROPA and clause-to-control — inside your own secured private cloud.

What you get

Outcomes you can hold us to.

  • True discovery across code, schemas, endpoints and unstructured artefacts

  • Source-of-truth data lineage, down to the individual data principal

  • Every PII field mapped to a discovered processing purpose

  • Cross-border transfers traced at source, not from a questionnaire

  • Autonomous DPIA, ROPA register, DSAR response and clause-to-control

  • Agents that run inside your own secured private cloud

Built for

  • DPOs & privacy leads
  • CISOs & security teams
  • General counsel & compliance
  • CTOs & engineering leaders

Industries

  • BFSI & fintech
  • Retail & D2C
  • Manufacturing
  • Media & OTT
  • Healthcare
  • PSU & government

Works with

  • Code repos
  • DB schemas
  • API endpoints
  • Unstructured stores
  • Private cloud

Free demo and no-cost proof of concept

Point true discovery at one application and see what is actually there.

One application or repository · no cost · in your environment

The scope

  • We run true discovery on one application, repository or schema you choose
  • Agents deploy inside your own secured environment, so data never leaves
  • You see discovered lineage and purpose, not a self-reported inventory

You provide

  • One application, repository or database schema in scope
  • A private-cloud or VPC environment for the agents to run in
  • A privacy or engineering contact for a short scoping call

You get

  • A discovered PII inventory with lineage and processing purpose
  • A list of DPDP sections and rules currently at risk
  • A sample ROPA entry and DPIA, generated autonomously from real data

FAQ · Deployment, data and cost

What buyers ask before they commit.

Have a question that is not answered here?

01We already bought a consent management platform. Why do we need this?

A consent management platform (CMP) manages consent from now on. It has no view of what your existing systems have already collected and processed without consent — which is where the penalty exposure sits. DPDP-AID discovers that, and the two work together.

02Does our data leave our environment?

No. The agents are deployed inside your own secured private cloud. Discovery runs where your data already lives.

03How is this different from an audit or gap assessment?

An audit relies on interviews and self-reported inventories — a snapshot. DPDP-AID parses your actual code, schemas, endpoints and legacy data continuously, so the register stays accurate after the auditor leaves.

04What is the compliance deadline?

The DPDP Rules 2025 have been phasing in since November 2025, with full compliance required by 13 May 2027. Penalties reach ₹250 crore per breach, which is why discovering legacy processing matters now.

05Where does it run?

Inside your own secured private cloud. The agents deploy in your environment, so the code, schemas and personal data they parse never leave it.

06What can it change without us?

Nothing in your systems. It discovers, maps and drafts the compliance artefacts — DPIA, ROPA, DSAR responses and clause-to-control — for your DPO to review and own.

07Is our data used to train models?

No. Nothing discovered in your environment leaves it — that is the point of deploying inside your boundary.

08What does it cost after discovery?

Discovery on one application is free. Production is priced against the estate in scope — scoped on the call.

Next step

Get ahead of the 13 May 2027 deadline.

Book a free demo of DPDP-AID, or scope a no-cost proof of concept (PoC) on your own data. A senior engineer replies within one business day.