Audience overlap
Compare advertiser and media-owner audiences without exposing raw customer lists to the application host.

Privacy-safe adtech collaboration
Run audience overlap, attribution, and activation workflows without exposing raw customer data to the application host.
Retail media measurement rooms
Publisher and DSP activation workflows
Agency-managed audience collaboration
Launch product
TeeTracks packages Trustio's confidential execution layer into concrete collaboration workflows for brands, publishers, retail media networks, and agencies.
Compare advertiser and media-owner audiences without exposing raw customer lists to the application host.
Run repeatable clean-room style reports with bounded outputs, durable run records, and signed execution receipts.
Move approved segment outputs into retail media, publisher, or DSP workflows through auditable delivery lanes.
Trust boundary
Trustio provides the AWS confidential-compute substrate underneath TeeTracks: measured runtime artifacts, encrypted inputs, controlled outputs, and evidence that partners can inspect.
Client-side encrypted inputs after attestation checks
Plaintext processing inside measured Nitro Enclave runtimes
Untrusted host path limited to ciphertext, metadata, routing, and storage I/O
Policy-gated outputs and signed receipts for audit and partner review
Proof receipts
TeeTracks uses AWS Nitro Enclaves to give partners inspectable evidence about how a room was executed, while avoiding a persistent cross-publisher identity graph as the product model.
Runs can produce evidence about the measured runtime, declared workflow, policy version, and bounded output path.
TeeTracks is designed for room-specific collaboration, not persistent cross-site profiles or a pooled user graph.
Partner data stays encrypted through the host path and is opened only inside the attested execution boundary.
Audience, attribution, and activation results are constrained to approved report or segment shapes.
Early access
We are working with teams that need collaboration-grade measurement and activation without expanding raw-data exposure.