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Artificial intelligence startup Alembic announced today that it has developed a new AI system that it says completely eliminates the generation of false information that plagues other AI technologies, a problem known as “hallucinations.” In an exclusive interview with VentureBeat, Alembic co-founder and CEO Tomás Puig revealed that the company is introducing the new AI today during a keynote presentation at Forrester B2B Summit and will be present again next week at Gartner CMO Symposium in London.
The key breakthrough, Puig says, is the startup’s ability to use AI to identify causal relationships, not just correlations, across huge enterprise data sets over time. “We have essentially made our GenAI immune to hallucinations,” Puig told VentureBeat. “It’s a deterministic output. This may actually speak to cause and effect.
Solve the problem of hallucinations
Hallucinations pose a major barrier to companies’ adoption of AI systems such as chatbots and virtual assistants. Leading AI models can generate realistic text, but they often produce false or absurd information, making their deployment risky for business-critical applications. By eliminating hallucinations, Alembic aims to make AI safe and reliable enough for businesses to use for a wide range of data analysis, forecasting and decision support needs.
To achieve this feat, Alembic built its own supercomputer infrastructure and developed new mathematical techniques to represent enterprise data as time-sensitive graphical neural networks. “Every time we see one of these chain reactions or levers, we can understand all the critical components of your business,” says Puig. “Those all become like little mini-neurons, and we put them into a huge graph neural network. But it is a cause- and time-aware graph neural network.
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Causal Reasoning Engine Drives Deterministic AI
At the heart of Alembic’s breakthrough is a new type of graphical neural network that acts as a causal reasoning engine. This AI brain ingests data from a wide range of business systems, from sales databases and marketing platforms to analytics tools and even TV and radio, and organizes it into a complex network of nodes and connections that captures the relationship between different events and data points. other over time.
“It’s almost like a 3D representation of the company,” Puig told VentureBeat. “Imagine being able to see every interaction between every customer and every part of the business, and how those interactions cascade through the organization to drive results.”
The bottom line is that Alembic’s AI doesn’t just learn patterns and correlations from this data: it identifies the causal relationships that actually drive business outcomes. By understanding the “why” of historical results, the system can predict the impact of future actions with a high degree of confidence, and even recommend the optimal interventions to achieve a desired goal.
The underlying neural network can extrapolate and generate projections as new data points are added, simulating potential future impacts. “So when you inject a new node, it generates the chain reaction that it expects,” Puig said. This generative capability, built on Alembic’s custom “fundamental model,” distinguishes the company’s approach from the “expert mix” employed by other enterprise AI vendors, which Puig called “simple microservices”.
Intense interest from Fortune 500 and analysts
Interest in Alembic’s AI breakthrough has been intense, with the company already engaged with 9% of Fortune 500 companies after private briefings and endorsements from PhD experts at Nvidia and others large undisclosed clients, according to Puig. “When we showed it to (Forrester and Gartner), they pretty much lost it. I’ve never seen anything like this, so far they’ve had me look at 26 analysts, both on the IT side and the MarComms side.
Alembic’s technology comes at a critical time for enterprise AI adoption. Spending on AI technologies is expected exceed $500 billion by 2024, according to IDC, but trust issues remain a major obstacle. If Alembic can truly deliver enterprise AI that business leaders can rely on without fear of embarrassing or costly hallucinations, it could help accelerate the deployment of AI across industries from finance to marketing. by manufacturing.
With strong interest from early customers and endorsements from influential analyst firms like Gartner and Forrester, Alembic appears well-positioned to disrupt the crowded enterprise AI market. But the company still faces the challenge of proving that its technology can scale beyond early pilot projects to generate real-world results for large enterprises. As the race for AI heats up, Alembic’s “no hallucinations” approach could become a key selling point – or a cautionary tale about the gap between research advances and impact in the real world.
