Privacy-preserving data collaboration for SMBs
Enterprises have Snowflake clean rooms and a data team to run them. Kaventra gives mid-market brands, retailers, and clinics the same secure multi-party matching and joint analytics โ set up in an afternoon, no engineers required.
CSV, Shopify, Klaviyo & HubSpot connectors ยท raw data never leaves your side
Co-marketing, co-located clinics, retail media โ all of it needs shared customer insight that's currently illegal, risky, or impossible to get.
The current “clean room” for SMBs is emailing customer lists and hoping. One forwarded file is a breach, a fine, and a lost partner.
State privacy acts, HIPAA, GDPR โ sharing identifiable customer data without safeguards is a five-to-seven-figure mistake, even between willing partners.
Snowflake and AWS clean rooms assume a data warehouse and an engineering team. Mid-market companies have a Shopify login and a busy Tuesday.
Each party connects their own data. Math does the collaborating.
Hashed, salted identifiers matched in a secure enclave. You learn how many customers you share and what they're worth โ never who they are.
Pre-built questions โ overlap value, co-purchase patterns, campaign lift โ answered on combined data with only aggregates ever leaving the room.
k-anonymity floors, differential-privacy noise, purpose-bound agreements generated per room, full audit logs. Your lawyer gets a PDF they'll actually like.
Shopify, Klaviyo, HubSpot, Square, or a CSV upload. If you can export your customer list, you can run a clean room before lunch.
Name the collaboration, pick the questions it's allowed to answer, and send your partner a link. The purpose agreement generates automatically.
Both parties link their own source. Identifiers are hashed on your side before anything is matched โ raw lists never cross the boundary.
Overlap size, segment value, campaign lift โ aggregate answers only, every query logged, every result above the privacy floor.
raw customer records ever visible to the other party
minimum group size for any reported number
typical time from invite to first joint insight
“A national supplement brand wanted to co-market with our gyms but legal killed every data-sharing plan for a year. With Kaventra both sides connected our own systems, and a week later we knew exactly which 11,000 members to build the offer around โ without either company seeing a single row of the other's list.”
Run one real overlap with one real partner โ see the insight and the privacy report before paying anything.
Done โ setup link and partner invite template are on the way.