DPDP.ai

DPDP.ai is a privacy and compliance platform for managing consent, discovering personal information, responding to breaches, and assessing third-party risks under DPDP regulations. Its AI agent detects, classifies, and maps personal data across cloud apps, databases, file systems, APIs, and AI pipelines. Consent tools support purpose-specific choices in 22 scheduled Indian languages and propagate withdrawals to connected systems. The platform also creates privacy notices with version control, manages cookie preferences, and handles verified access, correction, erasure, and nomination requests. Other listed modules cover grievance handling, records of processing, impact assessments, and incident management. Breach workflows support detection, classification, containment, documentation, and 72-hour notification processes. DPDP.ai says it offers 30+ pre-built connectors, a REST API, and SDKs, alongside monitoring, risk alerts, reporting, and timestamped audit trails. Free tiers are listed for cookie consent and consent management, with monthly limits; a 14-day trial is also offered. The product is available on Android, iOS, and web, with API access and a hybrid deployment model. The company identifies SurePass Technologies Pvt. Ltd. in India as its operator.

DPDP.ai brings consent management, personal-data discovery, privacy workflows, and breach response into one platform. Its free tiers provide bounded consent volumes, while its stated integrations and hybrid deployment offer several connection and deployment paths.

It is aimed at organizations managing privacy and DPDP compliance, including Indian businesses, data protection officers, and legal teams. The listed modules and sector examples include BFSI, healthcare, EdTech, e-commerce, and SaaS.

Overview

DPDP.ai is a privacy operations platform for organizations working with India’s DPDP requirements. It is best suited to Indian businesses and privacy or legal teams that need consent, data discovery, and compliance workflows in one system. Its broad scope and two free consent tiers make it a credible starting point, but the quotas put a clear ceiling on free use.

Beyond consent, the platform covers rights requests, privacy assessments, records of processing, third-party risk, and breach response. That range may suit teams trying to coordinate several privacy tasks, while businesses looking only for a cookie banner may find the wider platform unnecessary.

Key features

Consent, notices, and cookies

Purpose-specific consent supports all 22 scheduled Indian languages, and withdrawals can propagate across connected systems. APIs and webhooks sync consent updates with Salesforce, HubSpot, CRMs, marketing tools, and data warehouses. The product says it stores tokenised references rather than personal data and supports retaining machine-readable consent records for seven years. These capabilities matter to teams that need consent choices reflected across their stack, though the value depends on whether the connectors fit their actual systems.

Privacy notices can be created in 22 scheduled languages with version control and purpose mapping. Cookie controls include scanning and categorization, geo-aware banners, centralized preferences, Google Consent Mode v2, and a claimed banner load impact below 100ms. That makes the cookie module more capable than a basic banner, but its separate monthly quota still needs to match site traffic.

Discovery and privacy workflows

DPDP.ai’s AI agent is designed to detect, classify, and map personal data across cloud applications, databases, file systems, APIs, and AI pipelines. Rights-request workflows cover access, correction, erasure, and nomination, with verification and SLA tracking. The platform also includes grievance redressal, records of processing activities, data protection impact assessments, retention management, and regulatory workflows. This breadth should appeal to privacy teams coordinating recurring obligations; it also means buyers should identify which modules they need rather than treating a long feature list as a substitute for a workflow fit.

Monitoring, breach response, and setup

Agentic Breach Management is described as detecting, classifying, containing, and documenting personal data breaches, with support for 72-hour DPB notification workflows. The platform advertises 24/7 monitoring, real-time breach and risk alerts, automated reporting, and timestamped audit-trail exports. These are relevant tools for teams needing traceability and a response process, although the operational value depends on how the system is configured for the organization.

The maker says setup needs no server installation, offers 30+ pre-built connectors alongside a REST API and SDKs, and claims most businesses reach operational DPDP compliance within two weeks. Hybrid deployment offers another deployment path. Homepage security claims include ISO/IEC 27001 information security management, 256-bit encryption, ISO 27017, and AICPA SOC. Those claims may help with initial vendor review, but they do not remove the need to assess the product against an organization’s own security and deployment requirements.

Pricing

DPDP.ai uses a freemium model, with a free plan and a 14-day trial. The two published free tiers have different jobs and limits:

• Cookie Consent Manager free tier — free: 10,000 cookie consents/month, no credit card, no trial expiry, and no feature restrictions. It is a useful option for a team focused on cookie consent that stays within the monthly cap.
• Consent Manager free tier — free: 3,000 consents/month, with core consent collection, a preference center, audit trail, and webhooks; no credit card is required. The lower quota makes it a better fit for smaller consent volumes or initial rollout than for organizations expecting heavier use.

The free tiers remove an upfront subscription cost, but neither quota should be mistaken for unlimited capacity. The cookie tier’s no-expiry term is distinct from the 14-day trial; the trial does not extend the stated monthly consent caps.

Platforms

DPDP.ai is available on Android, iOS, web, and through an API. Its hybrid deployment model may suit organizations seeking a mix of deployment approaches, while teams with a strict requirement for a particular hosting arrangement should confirm that fit before choosing it.

Who it's for

The platform is aimed at Indian businesses of different sizes, including BFSI, healthcare, EdTech, e-commerce, and SaaS organizations. Data protection officers and legal teams are also a stated audience. Its language support, consent propagation, and DPDP-oriented workflows are strongest reasons for those groups to consider it. Email support has a stated two-business-hour reply, phone support runs Monday–Friday 9 AM–7 PM IST, and the company offers a free consultation demo.

Pros and cons

• Pro: Consent management, data discovery, rights requests, assessments, and breach response share one platform, which can reduce the need to coordinate separate privacy tools.
• Pro: Consent and notices support all 22 scheduled Indian languages, a practical advantage for organizations serving users across India.
• Pro: Both consent modules have free tiers, including a cookie tier with no trial expiry and no feature restrictions.
• Con: The free consent manager stops at 3,000 consents/month, so organizations with higher volumes need to consider capacity beyond the free tier.
• Con: The broad module set may be more than a business needs if its requirement is limited to cookie consent.

Alternatives

For a wider comparison, browse Data Privacy Management Software.

• DataShyre is another freemium option with a free plan covering up to 500 unique users and cookie banner and consent management; choose it if that user-based allowance better matches your needs.
• PrivacyEngine has a web free plan with caps such as five staff and five records of processing activities; consider it if those bounded privacy-management allowances fit your team.
• ConsentCenter is a paid option available on web, mobile, API, and self-hosted platforms; consider it if those deployment channels suit your requirements.
• Ethyca Fides is a free, open-source privacy engineering standard that teams can inspect and contribute to; choose it if that openness is a priority.
• Relyance AI is a paid option available through API, self-hosted, and web platforms.
• Osano Cookie Consent is a freemium cookie-consent option with a free plan for web, iOS, and Android.
• BigID Privacy Suite is a paid option with a free trial; its pricing depends on data sources, apps and connectors, deployment type, services, and support, so it is worth considering when those factors need to shape a quote.
• DataGrail is a paid web option.

Verdict

DPDP.ai is a strong candidate for Indian privacy and legal teams that want consent, personal-data discovery, and DPDP workflows under one roof. Its language support and two free consent tiers make it approachable, while the capped monthly volumes are the main reason to look elsewhere or seek a plan with more capacity. Choose it when its integrated scope matches your work; choose a narrower option if cookie consent is all you need.