Cocie AI Launches CTV Autopilot, The First Agentic Contextual Intelligence Platform Built for Programmatic CTV
by on 12th May 2026 in News

Cocie AI today (12th May, 2026) launches Cocie CTV Autopilot, an agentic contextual intelligence platform that turns a single buyer brief into a live, show-level targeted CTV campaign in minutes. Built for streaming TV from day one, the platform is live and available globally to media agencies, DSPs, SSPs, and streaming partners.
As CTV budgets accelerate, execution remains fragmented and manual. Briefs pass through multiple teams, content signals vary by supply path, and buyers lack consistent visibility into where ads actually run. Cocie AI fixes this with a contextual-first intelligence layer purpose-built for streaming TV. It ingests bidstream and programming signals, enriches them with show-level context, and turns the result into curated deals, brand suitability controls, and audit-ready measurement, without personal data.
Brief-to-live in a single AI workflow
Cocie CTV Autopilot removes weeks of back-and-forth from CTV activation. A buyer enters a natural-language prompt: brand, audience intent, markets, dates, and DSP. Cocie AI then executes the full workflow sequentially: it identifies the matched audience from its contextual graph, suggests bid and floor guidance, confirms brand suitability guardrails, and generates an activation-ready Deal ID for immediate activation across supported programmatic paths.
"Open-web tools were never built to parse streaming TV signals. They don’t handle the CTV bidstream, inconsistent show-level metadata, or live-moment contexts at scale. We built Cocie AI’s contextual graph from scratch for this environment, taking a single brief from audience creation to programmatic activation in minutes." — Ari Salmi, CEO and founder, Cocie AI.
Built for streaming TV: Intelligence at every layer
Cocie AI’s contextual graph ingests and normalises billions of bidstream and content signals daily, going beyond standard metadata to extract supply path patterns, viewership momentum, and co-occurrence data embedded in the bidstream itself. The result is a richer, more dynamic picture of what is actually being watched across the CTV supply chain, not just what content is labelled as.
This intelligence layer powers a multi-agent system across three capability areas: audience intelligence (creation, segmentation, and management from contextual signals), inventory and activation (curation, planning, Deal ID generation, and programmatic activation), and campaign intelligence (real-time insights, measurement, performance attribution, and troubleshooting).
"Agency trading desks lose weeks every quarter managing the back-and-forth of CTV briefs across briefing documents, inventory questions, and suitability reviews. CTV Autopilot gives buyers that time back, with confidence that what activates is contextually precise, brand-safe, and measurable." — River Boche, founder & global head of CTV data and curation partnerships, Cocie AI.
Intelligence, not just connectivity
A growing number of agentic solutions use AI to connect buyer and seller systems across the CTV supply chain, automating negotiation between demand and supply platforms. Cocie AI operates at a different layer. Rather than connecting platforms through agent workflows, Cocie AI deploys contextual intelligence inside the agentic framework itself, enriching every decision with signal that goes beyond publisher-shared metadata. Where connectivity-first approaches rely on what inventory is labelled as, Cocie AI understands what is actually being watched: bidstream behaviour, viewership momentum, genre context, and real-time brand suitability signals that determine whether an impression is truly valuable. The result is faster execution that is also smarter, more precise, and more accountable.
Integrated across the programmatic supply chain
Cocie CTV Autopilot is integrated with all major SSPs, enabling curated deal creation and signal-rich supply activation at scale. Buyers can access the platform through common AI interfaces including ChatGPT, Claude, and Copilot, or via proprietary LLM integrations depending on partner requirements.
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