Deploy 115+ task-specific SLMs as hosted endpoints — each one does one job and does it well. No token math. No surprise inference charges. Just getting work done.
Scans legal agreements and surfaces risk clauses, liability caps, indemnification issues, and non-standard terms. Outputs structured JSON with severity scores. Replaces 2-3 hours of manual review per contract.
Download any model and run it locally, or flip it to hosted with one click. No Docker. No GPU provisioning. No YAML. Just a model that works.
Each SLM is purpose-trained on synthetic data generated by frontier models. Not a general-purpose LLM with a clever prompt — a specialist that outperforms GPT-4o on its specific task.
No per-token billing that spirals. No surprise invoices. Flat $2 per model per month for unlimited hosted inference. Or download for free and run it yourself.
Download the model weights, run them on your own infrastructure. Zero data leaves your environment. No API logs, no training on your inputs, no third-party visibility.
ClawPack is a curated set of task-specific SLMs designed to plug directly into OpenClaw's orchestration layer. Instead of routing every sub-task to a frontier model, assign each step to a purpose-built specialist.
The Neurometric Coding Swarm replaces a single frontier model with a coordinated team of task-specific SLMs — each one trained for a distinct part of the software development lifecycle.
An orchestrator routes each sub-task (write, review, test, document, scan, refactor) to the right specialist. The result: faster iteration cycles and dramatically lower inference costs.
A typical coding session routes ~40 sub-tasks to GPT-4o at ~$0.015 each = $0.60/session. The Coding Swarm handles the same workload for ~$0.09/session — and at $2/mo unlimited per model, costs are effectively fixed.
Start free. Scale flat. Every model available to download, always.
Download a task-specific SLM right now. Run it locally for free, or host it with us for 100M tokens a month — on the house.