▸ AI/LLM · Bloomberg
Cognition AI, creator of the autonomous AI software engineer Devin, is in early talks to raise hundreds of millions of dollars at a $25 billion valuation, more than doubling its $10.2 billion valuation from September 2025. The startup has seen surging interest following SpaceX's $60 billion option to acquire Cursor, with enterprise customers like Microsoft, Dell, and Cisco using Devin in production environments.
The bottom line: Marketing data teams evaluating AI coding tools should watch how autonomous software engineers like Devin reshape build vs. buy decisions for analytics and pipeline development.
▸ Emerging Tools · Fortune
Omni raised $120 million in Series C funding at a $1.5 billion valuation, led by ICONIQ. The company builds a governed semantic layer that sits between raw data and AI queries, ensuring consistent metric definitions and permissions. Revenue grew 4x year-over-year as enterprises like BambooHR, Guitar Center, and Cribl consolidate legacy BI tools.
The bottom line: As AI agents increasingly query enterprise data, marketing teams need semantic layers to ensure consistent metric calculations and prevent hallucinated analytics.
▸ Data Engineering · Business Wire
Orkes, built by the original architects of Netflix's Conductor, raised $60 million in Series B funding led by AVP. The platform helps developers deploy AI agents in production with reliability, governance, and observability. Customers include JP Morgan Chase, Tesla, American Express, and United Wholesale Mortgage.
The bottom line: As marketing teams move AI pilots into production, orchestration platforms like Orkes provide the guardrails needed to run autonomous workflows without operational chaos.
▸ MarTech/AdTech · MarTech Day
According to new research from Scott Brinker and Frans Riemersma's Martech for 2026 report, 90.3% of participants are using AI agents somewhere in their martech stack, even if only for experimentation or limited production use cases. The research also found that most companies are adopting hybrid approaches that combine deterministic workflows with non-deterministic AI steps.
The bottom line: Marketing ops teams can no longer treat AI agents as experimental: mainstream adoption means governance and integration strategies are now competitive requirements.
