fastino.ai builds task-specific language models and agentic systems delivering fast, specialised AI - including GLiNER-2 - for enterprise developers.
fastino.ai builds task-specific language models (TLMs) and agentic systems, an approach that departs from the prevailing orthodoxy of ever-larger general-purpose models. Its TLMs are specialised for individual developer tasks - summarisation, function calling, text-to-JSON conversion, zero-shot classification, information extraction and PII redaction - and are reported to run up to 1,000 times faster than traditional large language models, with latency below 100 milliseconds. That performance envelope makes real-time enterprise applications feasible and, for certain use cases, removes the requirement for GPU infrastructure entirely.
The product portfolio extends beyond single-purpose models. GLiNER-2 is a multi-task information extraction system with a schema-driven interface spanning named entity recognition, text classification and structured extraction. A personalisation layer supplies dynamic user-level context and memory for agent applications. The company operates in the enterprise software and developer-tools markets, serving engineers building production AI systems, and backs its models with a predictable pricing model.
The work has found an audience. The company's software records more than 200,000 monthly downloads and over 2,400 GitHub stars, and its technology reaches more than 90m end users. fastino.ai raised $25m in seed funding and maintains an open-source presence, with an engineering culture that prizes efficiency, specialisation and high accuracy on targeted tasks over general capability.
