Accenture and WndrCo Back Alembic in $145 Million AI Marketing Round

Nov 20, 2025
Accenture and WndrCo have invested in Alembic, an AI-powered marketing analytics startup, as part of a $145 million Series B funding round that values the company at $645 million. The partnership will integrate Alembic’s causal AI technology into Accenture’s client services to enhance marketing measurement and attribution.

Accenture has invested in AI marketing analytics firm Alembic through Accenture Ventures, announced in a press release. The investment is part of a $145 million Series B round that values Alembic at $645 million and includes participation from growth equity firm Prysm Capital, venture capital firm SLW, and Jeffrey Katzenberg’s WndrCo.

The partnership will see Accenture and Alembic collaborate to help clients measure marketing effectiveness using AI-driven causal analysis. Alembic’s platform links data from multiple marketing channels—including broadcast, social, and direct-to-consumer communications—with sales data to determine which activities drive revenue. The system assigns impact scores to campaigns and provides real-time insights to guide marketing spend.

Alembic’s CEO Tomás Puig said the company will use part of the new funding to expand its computing infrastructure with Nvidia-powered supercomputing clusters. Alembic’s technology is also being piloted within Accenture’s own marketing operations through its Accenture Song division.

WndrCo, which led Alembic’s earlier funding round, has helped introduce the company to major clients such as Mars and Delta Air Lines. Alembic’s tools have been used by Mars to analyze how unpaid social media mentions influence sales outcomes.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Sales & Marketing AI Weekly

News about AI tools and innovations for Sales and Marketing professionals.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.