One Platform for Overlap, Lift, and Activation

Placino takes you from raw partner data to activated audiences and proven campaign lift, with privacy enforced at every step, on infrastructure you control.

PLACINODashboardClean RoomsDatasetsQueriesAudiencesSettingsLiveLast updated: 2 seconds agoCTTotal Records1.2M+12.4%Active Matches847K+8.7%Privacy Budget (ε)0.46/1.0Match Volume (7 Days)800K600K400K200KMonTueWedThuFriSatSunRecent ActivityMatch completed2s agoQuery executed1m agoDataset uploaded3m agoAudience synced8m agoPrivacy check OK12m agoNew clean room15m agoCLEAN ROOMSTATUSRECORDSMATCHESLAST RUN

Inputs In, Outcomes Out

Your data goes in protected; only aggregate answers come out: overlap you can act on, lift you can prove, audiences you can activate.

DATA INPUTSOUTCOMES01First-partyCRM02Ad exposurelogs03Web &app events04Offline sales01Audiencematch02Measurement &lift03Activation toplatformsPlacinoclean room

This is the actual product

Straight from a live clean room

Not mockups, captured from a running collaboration between a retailer and an advertiser. Click any screen to look closer.

The Placino Pipeline

Five steps from partner data to proven results (ingest, match, query, activate, measure), each one privacy-checked before anything leaves the room.

Ingest6 ChannelsWeb · SFTP · HTTP · Kafka · S3 · DBMatchPrivacy-FirstParty AParty B1.2MAES-256 · SHA-256Query4 ModesSQL · AI · Visual · TemplatesActivate12 DestinationsGoogle · Meta · TikTok +9MeasureGovernedAttribution · Lift · ROIEnd-to-End Encrypted Pipeline · Zero Raw Data Movement · Full Audit Trail
6 ingestion channels

Get Data In Without an Engineering Project

Your data arrives the way your team already works: drag-and-drop uploads for one-off files, scheduled pulls straight from your databases, or streaming for real-time events. No pipelines to build first.

  • Web Upload for ad-hoc datasets
  • SFTP server integration
  • Real-time Kafka streaming
  • S3 and MinIO object storage
  • HTTP Streaming API for real-time event ingestion
  • DB Pull: scheduled snapshot from 8 databases (PostgreSQL, MySQL, BigQuery, Snowflake, Oracle, SQL Server, Redshift, ClickHouse)
INGESTWeb UploadDrag & DropSFTPAuto-SyncKafkaReal-TimeS3 / MinIOObject StoreDB Pull8 DatabasesStreamingHTTP APISchema Auto-DetectedPII fields flagged · Types inferredUnified ingestion with automatic schema validation and PII detection
AParty A2.0Mrecordsemail_hashphone_hashsegmentregionLTV_scoreAES-256-GCMBParty B1.7Mrecordsemail_hashdevice_idpurchasecategoryfrequencyRSA-4096SECUREMATCH1.2M70.6% match rateMatched Audience ReadyZero PII exposed · Ephemeral keys destroyedSHA-256SHA-256
Privacy-preserving matching

Find Shared Customers, Without Sharing Customer Lists

Both sides keep their data. Placino finds the overlap inside the clean room, so you learn how many customers you share, and what they do, while nobody hands over a list.

  • Neither party ever sees the other’s raw records
  • Identities are matched as protected hashes, never as plain identifiers
  • Every upload is individually encrypted, end to end
  • The same customer matches consistently across all your datasets

Want the cryptographic detail? See the full security architecture

4 query modes

Everyone on Your Team Can Ask Questions

Marketers start from templates or plain English; analysts build visually; engineers write SQL. Same governed engine, same privacy checks: no ticket queue between a question and its answer.

  • Pre-built Template queries for common use cases
  • Custom SQL with full query editor
  • AI Text-to-SQL (natural language)
  • Visual Query Builder for non-technical users
TemplateSQLAI AssistantVisualAI“Show audience overlap between retail and finance”SELECT u.id, u.segment, COUNT(DISTINCT u.match_id)FROM matched_users uWHERE u.segment IN (’retail’, ’finance’)847 rows· 847ms · 45.2MB scanneduser_idsegmentmatch_countu_12847retail + finance24u_39472retail + finance18u_58103retail + finance31u_71290retail + finance122 PII fields masked
DIFFERENTIAL PRIVACY BUDGET0.46of 1.0 epsilon00.51.0BUDGET BY QUERY TYPEOverlap Analysisε 0.16Segment Countε 0.1Attributionε 0.12Frequency Capε 0.08kk-Anonymityk ≥ 5Min group size enforcedPASSINGCOLUMN PERMISSIONSuser_idemailsegmentaddressAll Privacy Constraints Satisfied
Privacy controls

Guarantees You Can Show Your DPO

Results are protected by mathematics, not policy documents: no query can single out an individual, every answer is aggregate, and each partner’s privacy budget is enforced automatically.

  • Statistical noise makes individuals unfindable (differential privacy)
  • Small groups are suppressed automatically (k-anonymity)
  • A per-query privacy budget stops repeat-query attacks
  • Column-level permissions decide who sees which fields
  • Purpose limitation is enforced, not just promised
  • Retention and expiry policies apply themselves
Governance & audit

Compliance That Documents Itself

Every query and access is recorded in a tamper-evident audit trail your auditor can verify. Sensitive analyses wait for approval; subject-access requests are answered in minutes, not weeks.

  • Tamper-evident audit trail of every action (Merkle-chain)
  • Approval workflows for sensitive queries
  • Data subject requests handled automatically (GDPR/CCPA)
  • Fine-grained, policy-driven access control
  • Query cost tracking and budget alerts
  • Role-based access for every team member
MERKLE-CHAIN AUDIT LOGBLK#4Queried users_segmentalice@corp.com0x7a3f...e2c1success14:32:18BLK#3Approved query #2847bob@corp.com0x3b2d...f4a8approved14:31:42BLK#2Merkle hash verifiedsystem0x9c1e...b7d3verified14:30:05BLK#1Dataset uploadedalice@corp.com0x5e8f...c2a1success14:28:33Chain Integrity: Verifiedroot: 0x7a3f...e2c1
CONNECTED PLATFORMSPLACINOSync HubGoogleAdsMetaTikTokLinkedInAmazonDV360DSPAll Connectors SyncedLast sync: 2 min ago847K profiles
12 activation destinations

Audiences Flow Straight to Your Platforms

The overlap you find becomes an audience you can use, pushed directly to the ad platforms and CDPs you already run, synced on your schedule.

  • Google Ads, DV360 & Amazon DSP
  • Meta (Facebook & Instagram), TikTok & LinkedIn
  • The Trade Desk & Criteo
  • CDP & CRM delivery: Salesforce, HubSpot, Braze, Klaviyo
  • 12 destinations in total: 8 ad platforms, 4 CDP/CRM
7 AI layers

An Analyst Built Into the Platform

Ask questions in plain language and get governed answers. Behind the scenes, AI also catches PII before it leaks, scores data quality, and keeps queries safe and fast.

  • Text-to-SQL translation (natural language)
  • Automatic PII detection and masking
  • Semantic guardrails (blocked topics)
  • Data quality scoring
  • Identity resolution and deduplication
  • Query optimization and cost prediction
  • Natural language insights generation
AIPlacino AI AssistantWhich customer segments have the highest churn risk?Based on your matched data across 3 partners:SegmentRiskRecordsTech (Premium)34.2%12.4KRetail (Standard)18.9%45.2KFinance (Enterprise)8.1%8.7K2 PII fields masked automaticallyGenerating insightAsk about your data...
Deployment

Runs Where You Need It

Start on managed SaaS, move to a dedicated tenant, or run the whole platform inside your own VPC, where your data never has to leave your infrastructure. Same product, your choice of control.

DATA INGESTION LAYERDocker Network: dcr-ingestionAPISIX APIGatewaySFTPServerKafkaBrokerS3/MinIOStorageDBConnectorsdcr-prepareCLISchemaValidatorDATA PROCESSING LAYERDocker Network: dcr-processingGo MatchingEngineOPA PolicyEnginePrivacyComputeQueryExecutorAI/MLLayerIdentityResolverPostgreSQLClickHouseRedis CachePrometheusGrafanaACTIVATION LAYERDocker Network: dcr-activationGoogle AdsMetaTikTokLinkedInAmazonDV360RTB/DSPWebhooksAPI35 Docker Containers · 10 Go Microservices · 3 Isolated Networks · Low-Latency Service Calls

Unified Query Engine

Run template, SQL, AI-generated, and visual queries through one governed execution pipeline. Every cross-organization result passes k-anonymity and differential-privacy checks before it is released.

Ready to Build Your Data Clean Room?

Start on our managed SaaS, or choose dedicated tenant and self-hosted options for regulated environments. Full control over data, governance, and compliance.