Alembic Technologies announced the launch of Version 3.0 of its Causal AI platform, introducing real-time enterprise simulation capabilities designed to help organizations model the financial impact of strategic decisions before committing capital.
The new platform enables enterprises to move beyond traditional analytics, which primarily identify correlations, by delivering verified causal insights across complex datasets. By processing billions of signals spanning media exposure, pricing, macroeconomic conditions, consumer behavior, and operational inputs, the system aims to determine what truly drives revenue, growth, and customer outcomes.
Version 3.0 introduces real-time causal recomputation, allowing enterprises to continuously update causal models instead of relying on batch processing. This enables instant scenario modeling, where executives can test different budget allocations and immediately view projected effects on revenue, margins, and growth. The platform also supports dynamic capital optimization, updating marginal return on investment, saturation curves, and incremental lift in real time.
The system is designed to support enterprise-scale decision simulation, allowing companies to evaluate tradeoffs across marketing investments, pricing strategies, sponsorships, and broader market conditions. This represents a shift from retrospective analytics toward forward-looking decision intelligence.
Alembic’s platform is built on a private AI supercomputing environment powered by NVIDIA DGX SuperPOD infrastructure with DGX GB200 systems and Grace Blackwell architecture. The infrastructure supports large-scale causal discovery, spatio-temporal graph modeling, and GPU-accelerated optimization. The system also incorporates technologies such as NVSHMEM for distributed memory management, NVIDIA RAPIDS for data processing, and cuBLAS for high-speed computations, along with spiking neural networks and dynamic causal graphs.
The company said its platform is already being used by global enterprises, including airlines, consumer packaged goods companies, and financial services firms, to connect marketing and strategic investments directly to revenue outcomes.
Alembic recently raised $145 million in Series B and growth financing, with backing from institutional investors including Prysm Capital and Accenture. The company reported that its valuation increased more than tenfold following the round, reflecting growing demand for causal AI solutions in enterprise environments.
Version 3.0 of Alembic’s Causal AI platform is now available to enterprise customers.
KEY QUOTES:
“For decades companies relied on analytics that describe correlations but cannot prove causality. With real-time Causal AI, enterprises can simulate the impact of strategic decisions before they commit capital. That fundamentally changes how organizations allocate resources and drive growth.”
Tomás Puig, Founder And CEO, Alembic Technologies
“Simulating the real-time impact of decisions with AI gives enterprises unprecedented intelligence for optimizing business plans and responding to changing market conditions. By leveraging NVIDIA DGX SuperPOD with DGX GB200 systems using the Grace Blackwell architecture, Alembic customers can bring AI into their boardrooms, modelling scenarios in near real-time to drive informed decisions.”
Charlie Boyle, Vice President, DGX Platforms, NVIDIA
