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Introducing Graph Provenance

AI that never hallucinates

Inertia is the first AI model built on our Knowledge Graph Transformer. Every output is structured, traceable, and provably grounded without tokens or hallucinations.

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Model accuracy
Developer rating

Problem & Solution

Problem

LLMs produce answers you can't trust

Today's large language models generate text by sampling from probability distributions over tokens. The result? Outputs that sound authoritative but often lack real depth. You have no way to verify correctness, no guarantee that the answer isn't fabricated and worst of all: no way to generate true value without significant risk.

For regulated industries such as healthcare, finance, and legal this isn't a minor inconvenience. It's the exact reason why your business hasnt seen success deploying AI.

Where we come in

Every answer derived from ground truth

Inertia's Knowledge Graph Transformer operates on graph structures instead of token sequences. Every output demands full graph provenance, a systematic elimination of hallucinations and transparant, verifiable answers within your critical system's infrastructure.

The result is structured, functional and compliant results. In constrained domains, Inertia operates with full legality, ensuring that every response respects the rules of your environment.

Features

Built differently from the beginning

No tokens. No stochasticity. Fully Deterministic. 100% Accurate. For you: Here, now, forever.

100% Accuracy

Leveraging Inertia's Knowledge Graph Transformer, our AI-model enables 100% accuracy capabilities consistently across your domain.

Graph Provenance

Inertia provides your output's ground truth up front, allowing you and your team to verify quality, authority and functionality all at once.

Out-of-Distribution Reasoning Capabilities

Unlike standard AI-models, Inertia's architecture operates fundamentally differently. By reasoning over Graph Structures, removing tokens and probability, Inertia's models have demonstrated perfect reasoning capabilities far out of the model's distribution of data.

Zero Hallucinations

Architecturally, Inertia eliminates hallucinations as a necessary by-product of AI. With us, you can leverage AI's full capability without worrying about fabricated results.

How It Works

From question to provenance in three steps

01

Contact sales

02

Query with natural language

03

Get verifiably correct output

Why Different

How Inertia compares

Feature comparison between traditional tools and Inertia
FeatureTraditionalInertia
Hallucination-free output
Full output provenance
Structured, compliant results
No tokenization information loss
Domain constraint enforcement
Deterministic reproducibility

Inertia's Knowledge Graph Transformer architecture is the real deal, and its commercial applications are nearly limitless.

AF

Amir Feizpour

Founder and Chief Scientist, Aggregate Intellect Inc

A brilliant model architecture backed by a brilliant team. The results speak for themselves.

WZ

William Zhu

Senior Data Scientist, Choice Hotels International

Contact

Access

Join the waitlist for early access or talk to our team about enterprise deployment.

Enterprise

Custom

For organizations requiring dedicated infrastructure.

  • Unlimited queries
  • Complete provenance audit trail
  • Custom domain-constrained models
  • Dedicated support engineer
  • On-premise deployment option

Team

Built by researchers, shipped by engineers

Jacob Sylvestre

Jacob Sylvestre

Chief Executive Officer

EC

Emanuel Cox

Founding AI-Researcher

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Want to join our team?

Apply now

Ready to get started? Deploy with confidence.

See how Inertia eliminates hallucinations from your AI applications. Join the waitlist or talk to our team about enterprise deployment.