Alembic Unveils Real-Time AI to End Corporate Guesswork

SAN FRANCISCO – March 19, 2026 – Alembic Technologies today launched a platform that promises to shift the bedrock of corporate strategy, moving enterprise decision-making from rearview-mirror analysis to real-time, forward-looking simulation. The company's release of its Causal AI platform Version 3.0, powered by a formidable NVIDIA-backed supercomputing infrastructure, enables global companies to simulate the financial impact of strategic decisions before committing billions in capital.

For years, enterprises have been awash in data but have struggled to answer a fundamental question: which of their actions actually cause business results? Most analytics platforms identify correlations—patterns where two variables move together—but fall short of proving cause and effect. Alembic’s platform is designed to close this critical gap, providing what it calls deterministic attribution and causal inference.

The End of Enterprise Guesswork

Alembic’s core mission is to replace correlation-based guesswork with causal certainty. The company argues that while businesses generate enormous volumes of data from media exposure, pricing, consumer behavior, and operations, they still struggle to isolate the specific drivers of revenue and growth. Version 3.0 directly addresses this by modeling verified causal relationships across these complex data ecosystems.

“For decades companies relied on analytics that describe correlations but cannot prove causality," said Tomás Puig, founder and CEO of Alembic. "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.”

The new version introduces a real-time operating layer that marks a significant departure from the batch-processing cycles common in enterprise analytics. Key capabilities now include:

• Real-time causal recomputation: Causal models, or "graphs," now update continuously, reflecting the dynamic nature of a business environment.
• Instant scenario modeling: Executives can test various budget allocation scenarios across different channels and markets, immediately seeing the projected impact on revenue, margin, and other key metrics.
• Dynamic capital optimization: As budget scenarios are tested, the platform instantly recalculates marginal ROI and saturation curves, showing the point of diminishing returns for any given investment.

This suite of tools moves enterprise analytics from a retrospective reporting function to a forward-looking decision simulation engine. Instead of analyzing what happened last quarter, leaders can now simulate what will happen next and adjust their strategies on the fly.

Supercomputing Power Fuels Real-Time Insight

Delivering real-time causal inference at an enterprise scale requires extraordinary computational power, a challenge Alembic has addressed through a deep, strategic partnership with NVIDIA. Alembic operates a private AI supercomputing environment built on the latest NVIDIA DGX SuperPOD infrastructure, featuring the new Grace Blackwell systems.

This isn't an off-the-shelf solution. Alembic is deploying an NVIDIA NVL72 SuperPOD, a powerful system that combines dozens of CPUs and GPUs into a single, massive liquid-cooled unit. This makes Alembic one of the only non-Fortune 500 companies in the world to operate such an advanced system, a testament to the immense processing required for its causal models. The infrastructure, co-located in Equinix data centers, was chosen to ensure predictable costs, data control, and the low latency necessary for real-time simulation.

The platform leverages NVIDIA's full hardware and software stack, including RAPIDS for GPU-accelerated data processing and cuBLAS for high-speed matrix operations, to process billions of signals and run complex simulations across a global enterprise’s entire ecosystem.

“Simulating the real-time impact of decisions with AI gives enterprises unprecedented intelligence for optimizing business plans and responding to changing market conditions,” noted Charlie Boyle, vice president of DGX Platforms at NVIDIA. “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.”

From Theory to Boardroom: Enterprise Adoption and Impact

While the technology is cutting-edge, its application is already delivering tangible results in the market. Alembic is currently used by global enterprises, including leading airlines, household CPG companies like Mars, and major financial services brands. These organizations use the platform to connect strategic investments—from multi-million dollar brand campaigns and sponsorships to digital media spend—directly to revenue outcomes.

For example, a major U.S. airline utilizes the platform to gain a unified view across all its marketing channels and campaigns, allowing it to connect exposure directly to business outcomes with a speed and precision that was previously unattainable. This provides the foundation for a more agile and scalable measurement framework, empowering marketing leaders to justify budgets and optimize spending with confidence. By identifying the true drivers of customer behavior, companies can eliminate wasted spend and reallocate resources to initiatives with proven impact.

The platform is designed to bridge the gap between the Chief Marketing Officer and the Chief Financial Officer, providing a common language of causality and financial impact that allows for more data-backed, defensible decisions.

A $145 Million Bet on Causal Certainty

The growing market appetite for this level of analytical rigor is reflected in Alembic’s recent financial momentum. In late 2025, the company secured $145 million in Series B and growth financing in a round co-led by Prysm Capital and global professional services giant Accenture, with participation from other notable investors including WndrCo and Silver Lake Waterman.

The funding round triggered a valuation increase of more than tenfold, reportedly placing the company's valuation around $645 million. This significant jump underscores strong investor confidence in Alembic's mission and the burgeoning demand for Causal AI. Investors are betting that in an increasingly complex world, the next major competitive advantage will be derived not just from having proprietary data, but from having the causal reasoning to understand and act upon it.

The capital is being used to expand Alembic's causal AI research and to support the deployment of its world-class supercomputing infrastructure. The investment by Accenture also signals a strategic push to bring Causal AI capabilities to a broader base of global enterprises seeking to transform their operations. As businesses navigate volatile markets and intense competition, the ability to act with clarity and confidence is becoming the ultimate currency in the modern intelligence era.