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Precise.ai launches Decisioning Economics with $7M seed round

5 hours ago

Precise.ai introduced a new buy-side framework for measuring the cost and contribution of every automated media decision, while raising $7 million from Blockchange Ventures, Lasagna and industry investors. The launch comes as programmatic spending tops $200 billion and brands face more complexity, more automation and less visibility into where media dollars go. Why it matters: - Precise.ai is trying to create a new operating discipline for buyers as programmatic and agentic systems take over more media decisions. - The company says the framework gives agencies and brands a way to measure and govern the economics behind live campaign decisions, not just final outcomes. - The timing matters because U.S. programmatic ad spending is on track to exceed $200 billion in 2026, while Winterberry Group research found only 47 cents of every media dollar reaches working media. - The model could give buyers more leverage in client reviews, procurement audits and platform negotiations by creating a portable record of decision performance. What happened: - Precise.ai announced Decisioning Economics on June 17, 2026. - The company also announced a $7 million seed round co-led by Blockchange Ventures and Lasagna. - Investors include Click Ventures, founded by Mediaocean CEO Bill Wise, and 3C Ventures, the media advisory and investment firm led by Michael Kassan. - Michael Kassan said Precise sits at the center of the media ecosystem and creates a common economic language that benefits everyone. The details: - Decisioning Economics is designed to evaluate the cost and contribution of every decision made across programmatic and agentic media. - Precise says the discipline starts at the campaign level and can extend across every media investment an agency or brand manages over time. - The platform analyzes dozens of economic variables inside each programmatic decision and compares cost against value while campaigns are still running. - Agencies and brands can use the system to evaluate decisions as they happen, identify higher-performing alternatives, redirect spend toward those alternatives and keep a verifiable record for review and negotiation. - Spencer Potts, CEO and co-founder of Precise.ai, said the buy side can now look inside the decision itself and measure the inputs that created outcomes. - Adam Helfgott, co-founder and chief architect, said automated decisions leave an economic fingerprint in the logs and Precise was built to read them. - The company said the framework became possible because live campaigns can now score millions of decision alternatives and capture those evaluations as an independent record. Between the lines: - The launch reflects a broader shift from measuring media outcomes after the fact to governing the mechanics of automated buying in real time. - Agentic buying raises the stakes because autonomous systems can make millions of decisions per minute while accountability stays with the buyer. - Precise is also positioning blockchain-style verification and AI-driven evaluation as the technical base for a new buy-side category. - Grant Gittlin, managing partner at Lasagna, said the market response has been immediate because agencies and brands want greater control over how media dollars are deployed. - The company said it had already secured six active pilots before launch, including one with one of the four largest agency organizations globally. What’s next: - Precise.ai plans to apply Decisioning Economics across more media investments as agencies and brands look for live optimization and more transparent accountability. - The company said the discipline will continue expanding beyond the campaign level over time. - Precise.ai is led by Potts, Helfgott and chief scientist Matt Barlin, and Potts and Helfgott previously co-founded Madhive. - For more information, visit the company’s announcement .

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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