Pellet AI

What it is

Pellet intelligently routes every request to the smallest model that can handle it — zero quality loss. Deploy in your VPC for full data sovereignty. Completely transparent to your code. Your prompt is classified into one of 15+ task types — extraction, reasoning, code, speech-to-text, document parsing, and more. A lightweight scorer rates complexity 1-5 based on prompt length, vocabulary, and task signals. The routing matrix picks the smallest capable model from our curated catalog and routes to the optimal provider. A complete inference optimization platform that learns, adapts, and scales with your workload. Stateful learning layer that tracks performance per user and task, continuously improving routing accuracy over time. Automated profiling of your API traffic — task distribution, quality scores, cost insights, and optimization recommendations. Generate high-quality training data from your production workloads. Automated seed extraction, generation, and QA. Managed LoRA/QLoRA fine-tuning with evaluation gates and one-click deployment. Train models tailored to your workload.

What to verify before adopting

• Confirm current pricing, usage limits, supported regions, and contract terms on the official website.
• Test integrations, export paths, access controls, and failure recovery with low-risk data first.
• Review privacy, data retention, security, and compliance requirements for your market.
• Keep a migration or rollback plan before making the product part of a critical workflow.