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Toaster

How Toaster Helps

Clean data alone does not tell you anything. Toaster combines LLMs with algorithmic models - predictions, recommendations, NLP, computer vision, and quant - to generate accurate signals from any dataset at any scale.

Trusted by

  • Netflix
  • Uber
  • Estee Lauder
  • Capital One
  • Telefonica
  • Walmart
  • Samsung
  • Toyota
  • Warner Media

What Toaster Does

Toaster is IV.AI's AI processing layer. It takes the structured data Magnet delivers and builds accurate, trackable models from it, combining disparate data sources, algorithms, and AI systems into one coherent picture.

The key word is accurate. Open-source LLMs lack accuracy in most domains. Model leadership shifts every one to two weeks. Most enterprises trying to build in-house end up with inconsistent outputs, hallucinations, and models they cannot explain to a stakeholder or an auditor.

Toaster eliminates that. Every model it builds is deterministic. Traceable. You can see what went in and understand why something came out. The same inputs produce the same outputs every time.

It also handles the complexity you do not want to manage yourself: LLM ensemble pairing, data formatting inconsistencies, bias reduction, model validation, and real-time risk scoring. Your team gets the output. We handle what sits underneath it.

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