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Normal Computing

Generative AI for enterprise

Normal Computing logo
21-100 employees
  • B2B
  • Artificial Intelligence
  • Enterprise
  • Machine Learning
Civic Center, New York, NY

Company mission

To bridge artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.

Few candidates hear
back within 2 weeks

Our take

As the rate of AI adoption accelerates, Normal Computing sets out to make it more usable and scalable for enterprises, where risk is a central barrier to its implementation. The hope is that this will allow enterprises to make use of technologies such as Generative AI which has so far only been considered appropriate for early consumer applications.

The company's Probabilistic AI gives control over reliability, adaptivity, and auditability to AI models powered by its customers' private data. It boasts the ability to support such applications as automating complex underwriting processes, generating and validating specialized code, and mitigating risks in situations where the conditions are dynamic and fluctuating.

By targeting a major roadblock to enterprise AI adoption, Normal Computing has the chance to make a major (and profitable) contribution to accelerating complex AI use cases. The company has raised considerable funding to support its endeavours, which it will use to double down on the R&D of its application development platform and Probabilistic AI technology.

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Freddie

Company Specialist at Welcome to the Jungle

Funding (last 2 of 3 rounds)

Nov 2024

$63.2m

GRANT

Jun 2023

$8.5m

SEED

Total funding: $80.2m

Leadership

Faris Sbahi

(Co-Founder & CEO)

Has worked as a Research Scientist at X, the moonshot factory, a Software Engineer at Google, and as a Forward Deployed Engineer at Palantir Technologies.

Matthias Tan

(Co-founder)

Venture Partner at NextGen Venture Partners. Former Principal of Strategy and Partnerships at X, the moonshot factory, and Director of Product and Partnerships at Pony.ai.

Jobs (7)

All locations

Software Engineering

Other Engineering