Tensorfuse - Serverless GPUs on Private Cloud

Auto evaluate production LLM applications

Tensorfuse helps you identify and improve failure cases like hallucinations, retrieval quality and answer relevancy.

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How it works

Start evaluating in 3 simple steps.

Capture all of your production data

Log production data along with metadata like user feedback (thumbs up/down), token usage, latency, etc.

Using filters, quickly create a dataset to evaluate performance

Define business-specific evaluation criteria

Set specific criteria tailored to your business to evaluate performance

Consider these criteria as KPIs that directly influence product metrics such as retention

Analyze and debug the results using interactive dashboards

Learn how your LLM app works and find ways to make it faster and cheaper

Catch inaccuracies and underperforming user cohorts in real-time

Pay as you grow.

All plans start with a 2 week free trial.

Hobby

Best for individual developers working on side projects

Evaluate upto 1k logs / month

Data retention for upto 1 month

Basic support

Free

Enterprise

Enterprise-wide deployment for large teams with specific needs

On-prem deployment of evaluator models

SSO + SAML

Dedicated customer support representative

Contact for pricing

Book a demo

Get started with Tensorfuse today.

Join teams from around the world accelerating their applications with Tensorfuse.

Get Started

Get started with Tensorfuse today.

Join teams from around the world accelerating their applications with Tensorfuse.

Get Started

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