Overview

Consent management sits alongside data discovery, rights requests, privacy assessments, third-party risk and breach response. That range makes DPDP.ai a plausible choice for organizations seeking a shared privacy toolset rather than a standalone cookie banner. Businesses that need only a narrow consent function may find the wider scope unnecessary.

DPDP.ai is offered by SurePass Technologies Pvt. Ltd., based in New Delhi, India, and was founded in 2023. The company targets businesses of all sizes, with particular emphasis on BFSI, healthcare, EdTech, e-commerce and SaaS, as well as data protection officers and legal teams.

Key features

Consent and notices

The Consent Manager handles purpose-specific consent in all 22 scheduled Indian languages and can propagate withdrawals across connected systems. APIs and webhooks can sync updates with Salesforce, HubSpot, CRMs, marketing tools and data warehouses. The company says it stores tokenised references rather than personal data and supports machine-readable consent records retained for seven years. These capabilities suit teams that need consent choices to move through business systems and remain auditable; the practical fit depends on whether the available connections cover their stack.

Privacy notices can be created in the same 22 languages, with version control and purpose mapping. Cookie controls combine scanning and categorization with geo-aware banners and centralized preferences. Google Consent Mode v2 support and an advertised banner load impact below 100ms make the cookie module relevant to sites balancing consent handling with page performance.

Privacy operations and response

Its AI agent detects, classifies and maps personal data across cloud applications, databases, file systems, APIs and AI pipelines. That breadth can help teams build an inventory across varied environments, rather than relying only on manual records. Rights workflows cover access, correction, erasure and nomination requests, with verification and SLA tracking. Other modules include grievance redressal, records of processing activities, impact assessments and incident management.

Agentic Breach Management is described as detecting, classifying, containing and documenting personal data breaches, with workflows for 72-hour DPB notification. The platform also advertises 24/7 monitoring, real-time breach and risk alerts, automated reporting and exportable timestamped audit trails. These are useful functions for teams coordinating response and evidence, though they do not by themselves establish how the product performs in a particular organization.

The maker says the platform has 30+ pre-built connectors for CRMs, databases, cloud storage and analytics tools, plus a REST API and SDKs. Setup requires no server installation, and the company claims most businesses reach operational DPDP compliance within two weeks. Treat that timeline as a maker claim, not a substitute for assessing the work involved in your own systems and processes.

The homepage displays security claims including ISO/IEC 27001 information security management, 256-bit encryption, ISO 27017 certification and AICPA SOC. Support includes email with a stated two-business-hour reply, phone support Monday–Friday, 9 AM–7 PM IST, and a free consultation demo.

Pricing

DPDP.ai uses a freemium model, with a free plan and a 14-day trial. The two published free modules have no credit-card requirement, but each has a monthly consent allowance:

Cookie Consent Manager free tier: Free, with 10,000 cookie consents/month, no trial expiry and no feature restrictions. This is the more generous starting point for sites focused on cookie consent, though the monthly quota still matters as traffic grows.
Consent Manager free tier: Free, with 3,000 consents/month, core consent collection, a preference center, audit trail and webhooks. It gives smaller operations a useful set of connected consent functions, but teams exceeding 3,000 consents/month should plan for a higher tier.

Beyond these free tiers, pricing is custom pricing. The 14-day trial offers a time-limited way to evaluate paid capabilities, while organizations comparing costs should confirm which modules, volumes and terms it covers. The free Cookie Consent Manager tier explicitly has no trial expiry; the Consent Manager tier has no stated trial expiry.

Platforms

DPDP.ai supports Android, iOS and web, and offers an API. Its deployment model is hybrid, which gives organizations more than a browser-only access point to consider when evaluating how the tool fits their environment.

Who it's for

DPDP.ai is a strong candidate for Indian organizations that need consent in scheduled Indian languages, privacy notices, rights-request handling and records or response workflows in one platform. Privacy officers and legal teams may value the combination of auditable consent, request tracking and breach workflows. Its stated sector focus includes BFSI, healthcare, EdTech, e-commerce and SaaS.

It is less compelling for a buyer seeking only a lightweight banner or a simple, low-volume consent tool without broader privacy operations. The free quotas are concrete starting points, but teams should check their expected monthly consent counts before treating them as a lasting solution.

Pros and cons

Pros: Purpose-specific consent and privacy notices support all 22 scheduled Indian languages, a meaningful fit for organizations serving multilingual audiences in India.
Pros: Free consent tiers include substantial stated monthly allowances, with the Cookie Consent Manager tier carrying no feature restrictions and no trial expiry.
Pros: The platform links consent, discovery, rights requests, assessments and breach workflows, reducing the need to source each privacy function separately.
Cons: The Consent Manager free tier stops at 3,000 consents/month, which can constrain a business with higher consent volume.
Cons: Paid pricing is custom pricing, so buyers cannot compare an explicit recurring price from the stated plans.
Cons: The breadth may be unnecessary for teams that only need cookie consent or a single privacy workflow.

Alternatives

DataShyre is worth comparing for a consent-focused starting point: its free plan covers up to 500 unique users with a cookie banner and consent management, and its Starter plan is 99.00 USD per month.

Ethyca Fides is the alternative to consider when open-source privacy engineering and self-hosting matter; its Fides plan is free and supports API, Linux, macOS, Windows, web and self-hosted deployment.

PrivacyEngine may suit teams seeking a web-based free plan with small fixed allowances, including 5 staff, 5 R.o.P.A.s, 5 risks, 5 retention periods, 5 documents and 5 logs.

ComplyDP is an option for a quick diagnostic rather than a broad platform: its free scan covers 10 controls and returns a compliance score, risk rating, top gaps and shareable report link in under 15 minutes.

dcomply offers a web-based freemium alternative with a free plan and free trial.

Nonym is another freemium option, with API, self-hosted and web platforms; its Community plan is free for non-commercial self-hosting with community support only.

Transcend Data Discovery and Classification is a paid alternative with Android, iOS, API, web and self-hosted platforms.

Ketch Consent Management may fit a smaller web operation: its free plan supports up to 5,000 unique users per month and two integrations.

For a wider comparison, browse Data Privacy Management Software.

Verdict

Choose DPDP.ai if your Indian organization needs multilingual consent tied to wider privacy operations, especially discovery, rights requests and breach workflows. Its free consent modules provide a credible entry point, but the Consent Manager's 3,000-consent monthly cap and custom pricing beyond the free tiers are the key reasons to compare alternatives before committing.

	DPDP.ai	Relyance AI
Free plan	Yes
Free trial	Yes	Yes
Paid from	Free
Platforms	Android, api, iOS, Web	api, self-hosted, Web
Free plan	Yes
Data inventory	Yes	Yes
Automated data discovery	Yes	Yes
DSAR management	Yes	Yes
Retention management	Yes	Yes
Privacy assessments	Yes	Yes
Regulatory workflows	Yes	Yes
Deployment model	hybrid	hybrid

DPDP.ai vs Relyance AI

DPDP.ai

Relyance AI