CTV video
Premium-screen supply aligned to buyer requirements, technical compatibility, and controlled commercial growth.
Programmatic video infrastructure
Premium video supply.
Built to operate at scale.
DataLabs connects demand partners to CTV and in-app supply through OpenRTB and VAST, supported by structured partner operations, quality intelligence, and hands-on optimization.
Programmatic capability
Commercial, technical, quality, and reporting decisions are coordinated through a single operating model. Demand teams get a clearer path from integration to repeatable performance.
Premium-screen supply aligned to buyer requirements, technical compatibility, and controlled commercial growth.
Complementary mobile video supply managed through the same qualification, reporting, and optimization framework.
Endpoint integrations structured for clear testing, disciplined QPS management, and transparent iteration.
Flexible tag-based activation for partners that require speed, compatibility, and focused traffic control.
Cross-functional by design
DataLabs is built as an operating company around the relationship between supply and demand. Every partnership moves through coordinated commercial, technical, quality, and finance functions.
Commercial qualification, opportunity design, terms alignment, and a clear path from first conversation to controlled activity.
Integration planning, endpoint governance, format compatibility, routing logic, and coordinated activation.
Supply-path review, verification alignment, anomaly detection, and continuous performance analysis.
Reporting reconciliation, approval workflows, invoice coordination, and disciplined partner follow-through.
DataLabs AI is the trading name of DATA LABS L.L.C-FZ, a free-zone company registered in Meydan, Dubai, United Arab Emirates, founded and led by Tomer Gaon. The company runs two lines of business: programmatic video and CTV media operations, which is the work described on this page, and consumer software, whose first published product is KegelPro, a pelvic-floor training app for men available on Google Play.
Read the company profileThe intelligence layer
Our AI-assisted operating layer helps surface anomalies, compare supply paths, coordinate reporting, and direct attention to the decisions that materially affect performance.
Automation increases speed and visibility. Experienced operators remain accountable for activation, partner communication, and material changes.
Requirements, economics, relationship context, and fit
Format, endpoint, QPS, GEO, and integration controls
Quality, compatibility, reporting, and performance cues
Operator decisions across growth, finance, and next actions
Operating sequence
We align on formats, markets, quality requirements, technical expectations, and commercial fit.
We define the right integration path, operating guardrails, reporting cadence, and starting scope.
We launch a controlled test built to produce useful signal without unnecessary exposure.
We isolate what works, resolve friction across teams, and expand only where the evidence supports it.
Operating standards
We align on verification, supply-path expectations, markets, formats, QPS, reporting, and technical requirements before activity grows.
Discuss your requirementsDemand partnerships
Share the formats, markets, integration path, and quality requirements that matter to your team. Your request will move through commercial and technical review before activation.