The Complete Data Clean Room Platform

Self-hosted, privacy-first data collaboration infrastructure. Build a full-funnel pipeline from raw data ingestion to activated audience segments, with enterprise governance at every step.

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PLACINODashboardClean RoomsDatasetsQueriesAudiencesSettingsLiveLast updated: 2 seconds agoCTTotal Records1.2M+12.4%Active Matches847K+8.7%Privacy Budget (ε)2.3/5.0Match Volume (7 Days)800K600K400K200KMonTueWedThuFriSatSunRecent ActivityMatch completed2s agoQuery executed1m agoDataset uploaded3m agoAudience synced8m agoPrivacy check OK12m agoNew clean room15m agoCLEAN ROOMSTATUSRECORDSMATCHESLAST RUN

The Placino Pipeline

End-to-end encrypted data collaboration, from ingestion to measurement. Every stage enforces privacy controls with zero raw data movement.

Ingest6 ChannelsWeb · SFTP · Kafka · S3 · DB · CLIMatchPrivacy-FirstParty AParty B142KAES-256 · PSI · ZKPQuery5 ModesSQL · AI · Visual · FedActivate13 ConnectorsGoogle · Meta · TikTok +10MeasureReal-TimeAttribution · Lift · ROIEnd-to-End Encrypted Pipeline · Zero Raw Data Movement · Full Audit Trail

6 Ingestion Channels

Accept data from anywhere. Placino supports web uploads, SFTP, Kafka streaming, S3/MinIO buckets, remote database sources with 8 connectors, and our dcr-prepare CLI for enterprise deployments.

  • Web Upload for ad-hoc datasets
  • SFTP server integration
  • Real-time Kafka streaming
  • S3 and MinIO object storage
  • 8 database connectors (PostgreSQL, MySQL, Snowflake, Redshift, BigQuery, Databricks, Athena, ClickHouse)
  • CLI-based batch processing
INGESTWeb UploadDrag & DropSFTPAuto-SyncKafkaReal-TimeS3 / MinIOObject StoreDatabase8 ConnectorsCLIdcr-prepareSchema Auto-DetectedPII fields flagged · Types inferredUnified ingestion with automatic schema validation and PII detection
AParty A2.4Mrecordsemail_hashphone_hashsegmentregionLTV_scoreAES-256-GCMBParty B3.1Mrecordsemail_hashdevice_idpurchasecategoryfrequencyRSA-4096SECUREMATCH142K23.4% overlapMatched Audience ReadyZero PII exposed · Ephemeral keys destroyedSHA-256SHA-256

Privacy-Preserving Matching

Combine datasets across organizations without exposing raw data. Placino's cryptographic matching layer ensures identities and sensitive attributes remain encrypted end-to-end.

  • AES-256-GCM encryption per upload
  • RSA-4096 key wrapping
  • Ephemeral hash-based identity matching
  • Zero-knowledge proof matching protocol
  • Deterministic encryption for consistency
  • Key rotation without re-hashing

5 Query Modes

Analyze data the way your team works. From pre-built templates for marketing teams to custom SQL for data engineers, Placino adapts to your workflow with AI-powered text-to-SQL translation.

  • Pre-built Template queries for common use cases
  • Custom SQL with full query editor
  • AI Text-to-SQL (Turkish + English)
  • Visual Query Builder for non-technical users
  • Federated query across multiple sources
TemplateSQLAI AssistantVisualFederatedAI"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 BUDGET2.3of 5.0 epsilon02.55.0BUDGET BY QUERY TYPEOverlap Analysisε 0.8Segment Countε 0.5Attributionε 0.6Frequency Capε 0.4kk-Anonymityk ≥ 50Min group size enforcedPASSINGCOLUMN PERMISSIONSuser_idemailsegmentaddressAll Privacy Constraints Satisfied

Privacy Controls

Data governance that goes beyond row-level security. Placino enforces multiple privacy models simultaneously: differential privacy, k-anonymity, and column-level permissions.

  • Differential privacy (Laplace/Gaussian noise)
  • Epsilon-budget tracking per query
  • k-anonymity group thresholds
  • Column-level encryption and permissions
  • Purpose-limitation enforcement
  • Data retention and expiry policies

Enterprise Governance

Compliance built into the platform. Merkle-chain audit trails track every query and data access. JIT approval workflows, automated DSAR responses, and OPA-based policy enforcement keep your organization compliant.

  • Merkle-chain audit trails
  • JIT approval workflows for sensitive queries
  • Automated DSAR (Data Subject Access Request) handling
  • OPA policy engine for fine-grained access control
  • Query cost tracking and budget alerts
  • Role-based access control (RBAC)
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

13 Ad Platform Connectors

Activate audiences instantly. Placino connects to major ad platforms with direct API integrations, ensuring audiences sync in real-time with full refresh capability.

  • Google Ads & DV360
  • Meta (Facebook & Instagram)
  • TikTok Ads Manager
  • LinkedIn Campaign Manager
  • Amazon Ads
  • Programmatic exchanges (RTB)
  • 13 total connectors with scheduled sync

7 AI Layers

Intelligence throughout the pipeline. From automatic PII detection to semantic guardrails, AI-powered identity resolution, and natural language insights, Placino thinks alongside your team.

  • Text-to-SQL translation (EN + TR)
  • 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...→

Enterprise Architecture

35 Docker containers across 3 isolated networks. 10 Go microservices deliver sub-100ms latency at enterprise scale.

DATA INGESTION LAYERDocker Network: dcr-ingestionKong 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 · Sub-100ms Latency

Federated Query Engine

Query multiple data sources simultaneously with semi-join push-down optimization. Achieve 40x network reduction and sub-second query latency across federated datasets.

Ready to Build Your Data Clean Room?

Deploy in minutes on your own infrastructure. Full control over data, governance, and compliance. No vendor lock-in.

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