Anti-Hallucination Engine NeuraGuard Passes Authoritative Benchmark: 99.1% Factual Accuracy
Startup NeuraGuard's anti-hallucination engine achieved 99.1% factual accuracy on the Stanford HELM benchmark, a 12-point improvement over the best existing systems. The company has secured $120M in funding from Microsoft and Sequoia Capital.
Anti-Hallucination Engine NeuraGuard Passes Authoritative Benchmark: 99.1% Factual Accuracy
San Francisco-based startup NeuraGuard announced on March 5 that its anti-hallucination engine achieved 99.1% factual accuracy on the Stanford HELM 3.0 benchmark — a 12-percentage-point improvement over the best existing systems.
NeuraGuard's approach layers a 'fact verifier' on top of the large model's output layer. The verifier cross-references every generated piece of content against a real-time knowledge graph and authoritative databases. CEO Priya Sharma stated: 'We're not making the model smarter — we're giving it a factual brake.'
Microsoft Azure AI's vice president confirmed in a statement that NeuraGuard has been integrated into the enterprise edition of Azure OpenAI Service. A $120 million Series B round led by Sequoia Capital valued the company at $800 million.
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