Fly safer with corrective AI

Pegasi corrects AI errors in real-time, erasing costly LLM mistakes to power your business with reliable models.

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Problems

Implementing GenAI is complex
and time-consuming

Firms are slow to adopt GenAI as they face costly business, compliance, and reputational risks from unpredictable LLM outputs.

Compounding AI mistakes

LLM systems are buggy and inevitably make errors

1

Massive time sinks

Juggling prompt engineering, RAG, guardrails, fallbacks, etc.

2

Sizable investment

Can be a massive distraction from expanding core products

3
Outcomes

Pegasi’s results with a F500

42%
Increase in accuracy over original LLM generations
85%
Reduction and correction in incorrect LLM generations
97%+
Increase in overall accuracy and mitigations to accelerate business outcomes
Solution

Pegasi is the quality control layer
for LLMs to increase reliability faster

REAL-TIME AI QUALITY CONTROLS

Autocorrect inaccurate and unwanted model outputs

Pegasi integrates seamlessly between the model providers and application layer to handle the heavy lifting behind the scenes.

ROBUST AND EXTENSIBLE

Host in your VPC from start to finish for maximum security

Two lines of code from our Python SDK or REST API endpoint deployed within your VPC. No data from your queries is ever stored.

TAILORED AND DEPENDABLE RESULTS

Increase explainability and quality for high-stakes workflows

The result is we provide high quality, reliable, and explainable model outputs with passive continuous improvements to deliver dependable results.

AI reliability made easy with Pegasi

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