The first model remediator

Higher quality and lower cost than any AI guardrails, transforming unreliable AI into business-ready solutions.

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Problems

Operational AI challenges to fully scaling LLMs

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

Increasingly longer prompts

Lead to high latency, hefty costs, and performance drops

1

Unwanted model outputs

63% of enterprises struggle with ROI due to model inaccuracies

2

Generic and rigid guardrails

Guardrails leads to just blocking outputs, leading to less adoption

3
Outcomes

Pegasi’s results with a F500

42%
Increase in accuracy over original LLM generations
85%
Reduction in inaccurate model generations
97%+
Reduction in  tokens with our novel compression approach
Solution

Pegasi is the alignment orchestration layer to maximize ROI from GenAI

REAL-TIME AI QUALITY CONTROLS

Catch and fix 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.

We bring the alignment that enterprises
need to adopt GenAI confidently.

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