Browse task-specific SLMs built for precision, or frontier LLMs for open-ended reasoning. Every model is one click from production.
Fine-tuned on domain-specific corpora. Faster, cheaper, and more accurate than frontier models on the tasks they're built for.
Medical ICD-10/11 coding, clinical note classification, and diagnosis extraction. 94.2% accuracy — 18 points above GPT-4 on MIMIC-III coding benchmark.
Contract clause extraction, obligation identification, and risk flagging. Fine-tuned on 4M contract clauses. 91% F1 on CUAD benchmark.
Real-time earnings sentiment, SEC filing classification, and risk signal extraction. 97% accuracy on FinBERT benchmark. Fast enough for live trading pipelines.
SCADA log parsing, predictive maintenance signals, and anomaly detection. 88% recall on critical equipment failure events, 72 hours in advance.
Variant interpretation, gene expression classification, and pathogenicity prediction. Pre-trained on 500M genomic sequences from NCBI and Ensembl.
Intent classification, ticket routing, and resolution suggestion for enterprise support queues. 95% routing accuracy. Deploy in your support platform via webhook.
For agentic workflows, complex reasoning, and tasks where domain breadth matters more than depth.
Meta's flagship open-weight model. Best-in-class for reasoning, coding, and agentic workflows. Runs on 8×H100 with tensor parallelism.
Efficient frontier model with 128k context. Excellent multilingual support and function calling. Ideal for RAG pipelines and document analysis.
14B parameter model punching above its weight. Competitive with models 5× larger on reasoning benchmarks. Cost-effective frontier option.
Start free in under 60 seconds. No GPU reservations. No minimum commits.