Agentic AI,
Cleared for Takeoff
Slash API costs by 70% with orchestrated agent optimization, without compromising quality
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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
Unwanted model outputs
63% of enterprises struggle with ROI due to model inaccuracies
Generic and rigid guardrails
Guardrails leads to just blocking outputs, leading to less adoption
Pegasi’s results with a leading F500
Pegasi is the AI safety refinement layer that makes LLMs safe and secure with our neurosymbolic tech
Metacognition enables AI agents and systems to understand and optimize their own reasoning through intelligent memory, neurosymbolic thinking, and continuous learning.
🔄 METACOGNITIVE LAYER OF AI
Optimize LLM inputs and outputs for cost, accuracy, and security
Pegasi seamlessly handles optimization between model providers and applications - managing all the heavy lifting behind the scenes.
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🛡️ 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.
🔍 AUDITABLE KNOWLEDGE GRAPHS
Increase explainability and auditability for all workflows
The result is we provide high quality, reliable, and explainable model outputs with passive continuous improvements to deliver dependable results.
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