3C Ventures

Precise.ai Raises $7M to Audit Programmatic Decisions

Precise.ai, a startup founded by ad tech veterans Spencer Potts and Adam Helfgott, raised a $7 million seed round co-led by Blockchange Ventures and Lasagna, with participation from 3C Ventures and Click Ventures. The company built a blockchain-based provenance and consent foundation and has pivoted to apply “decisioning economics” to programmatic buying: ingesting log-level DSP and ad tech data to run contribution analyses that quantify how individual targeting, bidding and supply choices affect cost and performance. Precise.ai is running six pilots with large buyers, meeting Mediaocean’s partnership team for tests, and plans to use the seed funding to prove the model with a small set of major advertisers while making senior hires. The team is currently eight people.

Publicis and The Trade Desk Reach Détente

Publicis Groupe and The Trade Desk have publicly reconciled after a high‑profile dispute that began in March when Publicis pulled The Trade Desk following an audit that flagged alleged fee‑stacking irregularities. A June 12 statement said the pair are focused on moving forward and Publicis has reinstated The Trade Desk to its recommended DSP list; terms of the resolution were not disclosed. Digiday frames the episode as symptomatic of a wider industry shift: agency holding companies (Publicis Marcel, Omnicom’s Omni, WPP Open) are building proprietary technology stacks that increasingly overlap with traditional ad tech vendors. Competition among DSPs is intensifying — buyers still rate The Trade Desk highly but report growing use of Amazon, Yahoo, StackAdapt, Viant and others — while emerging AI capabilities and agency AI platform claims raise new questions about data ownership, governance, and who controls decisioning layers for advertisers.

Agency AI Platform Claims Face Increasing Scrutiny

A new analysis by 3C Ventures, timed ahead of the Cannes Lions Festival, finds that AI-related language in agency pitches has become standardized while underlying platform capabilities, architectures and maturity vary widely. The report highlights an "accountability gap": agencies frequently present AI-enabled platforms for planning and optimization without clear evidence separating automated output from human operator contributions. It warns about data ownership and platform lock-in as first‑party audiences, attribution models and campaign learnings become embedded in proprietary systems. The study also flags tensions between AI-driven efficiency gains and agency commercial models, noting platform fees can preserve or grow revenue even as labor declines. 3C Ventures recommends marketers demand contractual clarity, proofs of concept, portability commitments, disclosure of technology partners, and audits to verify where AI acts autonomously versus providing recommendations.