Alembic

Alembic develops a Causal AI platform for large enterprises, intended to move marketing and growth measurement beyond correlation towards evidence of what actually drives business outcomes. The company's work sits at the intersection of causal inference, large-scale data processing and marketing mix modelling, with the stated aim of supporting rigorous capital allocation rather than directional signals.

Its product, the Alembic Causal AI Platform, collects and analyses data across marketing channels - including broadcast, social, site traffic, pricing and operational inputs - and applies proprietary Spiking Neural Network technology to continuously recompute large-scale causal graphs. The system is designed to process hundreds of millions of data points daily and to support budget shift simulation, allocation scenario testing and real-time incremental lift measurement before capital is committed. It is built to inform multimillion-dollar investment decisions.

Customers include Fortune 100 companies such as Nvidia, Delta Air Lines and Mars, spanning industries from technology and airlines to consumer packaged goods. The company describes its approach as research- and science-driven, with an emphasis on mathematical proof in marketing measurement and on enterprise-grade decision making.

Technical work at Alembic covers causal inference, Spiking Neural Networks, large-scale causal graph computation, incrementality measurement, simulation and scenario testing, and large-scale data processing.