Alembic is a Causal AI platform that shows enterprise leaders what caused a result. It is built for the executives who carry the largest decisions in the business: the entire C-Suite.
The questions below cover what Causal AI is, what a Causal Enterprise looks like, who Alembic serves, and how a deployment begins. To talk through a decision you are facing, request a demo or contact our team.
Alembic is a Causal AI platform that reveals what drives growth for the world’s largest enterprises. Backed by $145 million in Series B funding and running on private supercomputing infrastructure, Alembic is used by Fortune 500 companies including NVIDIA. Rather than relying on correlation, Alembic uses patent causal algorithms to identify real cause and effect behind business results, running continuously across billions of signals that span media, pricing, market conditions, operations, and consumer behavior. This is The Science Behind Why™ growth happens.
Causal AI is artificial intelligence that identifies genuine cause and effect relationships in data rather than patterns that tend to occur together. Most analytics can tell a leader that two things moved at the same time, but not whether one caused the other. That gap becomes expensive when a single decision commits millions in capital. Alembic establishes those causal relationships and reports them with quantified confidence, so executives across finance, operations, revenue, and marketing can see what truly moved the outcome. Explore how Alembic's methodology works.
Machine learning and generative AI predict what is likely to come next by finding patterns in historical data. Causal AI explains why outcomes happen by modeling the actual chains of cause and effect between variables, then measuring what would have happened without a given decision. A predictive model can identify correlation between two things. Causal AI shows whether one caused the other, and what changes if you act. Alembic is built entirely on structural causal modeling rather than correlation, prediction, or language models.
No. Business intelligence and analytics platforms report what happened and help teams visualize that data. Alembic answers what caused a result and what will change if leadership acts. Alembic connects to the data, analytics, and AI infrastructure an enterprise has already built rather than replacing any of it, typically in weeks. The output is a documented causal chain that a leader can put in front of a board.
A Causal Enterprise is an organization where every major decision, across every function, is backed by a shared, mathematical, auditable proof of cause and effect. It is the alternative to running a business on correlation, forecast, or consensus. Alembic delivers this through four connected pieces: the Causal Layer that completes an existing data stack, Decision-Grade Intelligence that meets the executive evidence bar, Intelligent Simulation that tests a decision before it is made, and a causal graph that grows more valuable with every decision. Learn more about the Causal Enterprise.
Intelligent Simulation is a digital twin of the entire enterprise, built on Alembic’s causal graph. A leader weighing a pricing change can model the outcome across functions before committing a dollar, and see the projected effect with a confidence interval attached. It works because signals from marketing, sales, finance, and operations feed the same causal graph, so a change modeled in one function shows its effect on the others.
A causal graph is a mathematical model of the variables, interactions, and outcomes across a business, and how each one influences the others. Alembic builds causal graphs from an enterprise’s existing data sources and updates it continuously as new signals arrive. Unlike software, which loses value over time, a causal graph gains value over time. Every data point recorded makes it more specific to that business, creating a unique graph that no competitor can replicate, no data broker can sell, and no new platform can rebuild.
Establishing cause and effect means testing a vast number of possible relationships and counterfactuals across billions of signals, then recomputing again and again as conditions change. Alembic runs on private supercomputing infrastructure built specifically for enterprise scale causal modeling, processed in a customer only environment that is SOC 2 compliant and CCPA aligned.
Alembic is built for Fortune 500 and Global 2000 executives who make the highest stakes decisions in a business, including the CFO deciding where to allocate capital, the COO running complex operations, the CRO protecting and growing revenue, and the CMO proving the value of brand investment.
Alembic serves enterprises where a single strategic decision can move millions, the kind of organizations with complex operations, large budgets, and accountability at the executive level. Current customers span technology, consumer goods, financial services, travel, retail, and higher education, and include NVIDIA, Delta Air Lines, Texas A&M Athletics, and North Sails. Read our customer stories.
Most enterprises connect the Causal Layer to existing infrastructure in a matter of weeks because Alembic adds a layer to the stack instead of replacing it. Onboarding covers data source connection, model configuration, and validation against decisions the team already understands. Your Alembic team scopes the specific timeline against your technology and operations stacks during onboarding.
The first step is a short discovery call with the Alembic team to review the decisions you are trying to make with more confidence, your current data sources, and your business objectives. From there, Alembic scopes an onboarding plan built around your stack and timeline. To start the conversation, request a demo.
Alembic is priced by the scope of deployment, including the number of markets, data sources, and use cases it covers, and it is structured as an annual enterprise license. Because every enterprise environment is different, pricing is tailored rather than packaged. Contact the team to discuss your needs and receive a proposal built for your use case.