Fastino builds task-specific language models (TLMs) and agentic systems that deliver specialized, efficient AI for enterprise applications. The company develops GLiNER-2, a multi-task information extraction system with schema-driven interface for named entity recognition, text classification, and structured extraction. Fastino operates up to 1,000 times faster than traditional large language models while maintaining high accuracy, enabling real-time applications with sub-100ms latency. Their models are optimized for specific developer tasks including summarization, function calling, text-to-JSON conversion, zero-shot classification, information extraction, and PII redaction.
The company provides a personalization layer for intelligent agents, offering dynamic user-level context and memory for applications. Fastino has established significant market presence with 200,000+ monthly downloads, 2400+ GitHub stars, and 90M+ end users. Backed by $25M in seed funding from Khosla Ventures, Microsoft, and Insight Partners, Fastino serves enterprise developers building AI systems that require predictable pricing, superior performance on targeted tasks, and the ability to operate without GPU infrastructure for certain use cases.
