Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Kaamel AI DPO is an AI data protection officer platform that makes privacy compliance review an on-demand online process. A product manager, engineer or marketer describes what they want to do in one sentence - launching a new feature, embedding a third-party SDK, onboarding a vendor, running a campaign, transferring data across borders - and the platform immediately assesses the privacy risk, returns remediation guidance, and pre-drafts the assessment records required for the activity, including DPIA, PIA and RoPA. Nothing takes effect until an authorized human privacy expert signs it, so speed never comes at the cost of accountability.
Reviews start where work already happens. Requests can be raised from IM tools such as Lark or from the web console, with no specialized form to learn. Risk assessment runs on a dual engine of deterministic policy rules plus a large language model, tuned so the AI is never more permissive than the rules, with high-risk scenarios escalated automatically for deeper assessment. Documentation that used to take days of drafting is pre-filled in minutes and only needs expert revision and confirmation. Signed conclusions are immutable and fully traceable, which is exactly what auditors and regulators ask to see.
Show the rest of the publisher’s description (1 more line)
Every review makes the next one faster. Conclusions and expert reasoning are captured into a company-specific compliance knowledge base, so recurring questions are answered instantly and institutional privacy knowledge stops living in individual inboxes. Coverage spans GDPR, China's Personal Information Protection Law and other major jurisdictions, with applicable regulations matched automatically to each business activity. Privacy teams are freed from repetitive drafting, business teams stop queuing for legal review, and leadership gets a complete, auditable compliance ledger.
Highlights
Highlighted by the publisher on AWS Marketplace.
Conversational review intake: business teams request a privacy review in one sentence from Lark, other IM tools or the web console, with no specialized forms or training, so product launches, SDK integrations, vendor onboarding, campaigns and cross-border data transfers stop queuing behind legal.
AI risk assessment with auto-drafted documentation: a dual engine of deterministic rules and a large language model identifies privacy risk, escalates high-risk scenarios automatically, and pre-drafts DPIA, PIA and RoPA records, cutting drafting time from days to minutes.
Human expert sign-off plus a compounding knowledge base: no conclusion takes effect until an authorized privacy expert signs it, creating a tamper-evident audit trail, while signed decisions build a company-specific knowledge base that keeps GDPR, China PIPL and other multi-jurisdiction reviews consistent.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
All Kaamel AI DPO subscriptions are non-refundable. We do not issue refunds for unused time, early cancellation, or non-use during a contract term. If you were charged in error (duplicate order, incorrect amount, or an order placed by mistake), email support@kaamel.com within 30 days of the charge and we will review your request. Approved refunds are processed through AWS Marketplace as a credit on your AWS bill. Private offer terms take precedence where they differ.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

