Fastino Labs
Fastino Labs is an applied research lab building production-ready small language models (SLMs) for agentic AI — structured data extraction, classification, PII detection, and safety moderation. Its Pioneer platform is an agentic fine-tuning and inference API that lets teams generate synthetic training data, fine-tune GLiNER encoder models and open-source decoder LLMs (Qwen, Llama, DeepSeek, Gemma), evaluate them against labeled datasets, and serve inference through native, OpenAI-compatible, and Anthropic-compatible endpoints. Fastino also maintains the open-source GLiNER2 schema-based information-extraction model and the GLiGuard safety-moderation model.
Fastino Labs publishes 1 API on the APIs.io network: Pioneer Inference API. Tagged areas include Company, Artificial Intelligence, Machine Learning, Small Language Models, and Fine-Tuning.
Fastino Labs’ developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, support, engineering blog, and 25 more developer resources.
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APIs
Pioneer Inference API
Pioneer's REST API for running inference against fine-tuned and base small language models. Native schema-based inference (NER, classification, structured extraction, generation...
MCP Servers
fastino-labs-mcp.yml
MCP SERVERRate Limits
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API