Accurate, fast SLMs

Move beyond general-purpose LLMs with Fastino’s task-specific models.

Production-ready fine-tuned SLMs for Agentic AI.

Move beyond general-purpose LLMs with Fastino’s task-specific models. Production-ready fine-tuned SLMs for Agentic AI.

Used by 5 million developers at

GLiNER Models

Accurate, zero-shot SLMs for extraction & classification:

Fast: typically <50ms inference

Fast: typically <50ms inference

Small: 200M parameters | <200MB RAM

Small: 200M parameters | <200MB RAM

Efficient: inference on CPU—even on edge hardware

Efficient: inference on CPU—even on edge hardware

Private: deploy to VPC, on-prem, or on-device

Private: deploy to VPC, on-prem, or on-device

GLiNER Models

Accurate, zero-shot SLMs for extraction & classification:

Fast: typically <50ms inference

Small: 200M parameters | <200MB RAM

Efficient: inference on CPU—even on edge hardware

Private: deploy to VPC, on-prem, or on-device

Tell us which dataset or model you want to build

Generate a dataset. Financial record labeled for PII detection

Generate a dataset. Financial record labeled for PII detection

Generate a dataset. Financial record labeled for PII detection

Here's an Initial set of 10 you can review, will expand to 1,000 rows for fine-tuning once approved

Pioneer Fine-tuning Platform

Optimize GLiNER models for domain-specific NER tasks. 20% to 50% F1-score lift:

Generate synthetic training datasets or injest from .json or Hugging Face

Generate synthetic training datasets or injest from .json or Hugging Face

Generate synthetic training datasets or injest from .json or Hugging Face

Evaluate fine-tuned models vs. base GLiNER, LLMs, and other local SLMs

Evaluate fine-tuned models vs. base GLiNER, LLMs, and other local SLMs

Evaluate fine-tuned models vs. base GLiNER, LLMs, and other local SLMs

Download optimized model weights or deploy to production inference

Download optimized model weights or deploy to production inference

Download optimized model weights or deploy to production inference

200,000+

Monthly Downloads

2400+

GitHub Stars

90M+

End Users

200,000+

Monthly Downloads

2400+

GitHub Stars

90M+

End Users

200,000+

Monthly Downloads

2400+

GitHub Stars

90M+

End Users

Applications

Real Performance.
Real Efficiency. Real Scale.

130 ms

Average Latency per Request

2x

Price efficiency versus GPT

"Fastino is making AI more accessible for a future with 1B developers.”

Thomas Dohmke
CEO @ GitHub

"No GPU? No problem. Check out Fastino's GLiNER model"

Scott Johnston
CEO @ Docker

1000x

Inference Speed vs. Generic LLMs

600,000+

Monthly Downloads & Growing Developer Adoption

Real Performance.
Real Efficiency. Real Scale.

130 ms

Average Latency per Request

2x

Price efficiency versus GPT

"Fastino is making AI more accessible for a future with 1B developers.”

Thomas Dohmke
CEO @ GitHub

"No GPU? No problem. Check out Fastino's GLiNER model"

Scott Johnston
CEO @ Docker

1000x

Inference Speed vs. Generic LLMs

600,000+

Monthly Downloads & Growing Developer Adoption

Real Performance.
Real Efficiency. Real Scale.

130 ms

Average Latency per Request

2x

Price efficiency versus GPT

"Fastino is making AI more accessible for a future with 1B developers.”

Thomas Dohmke
CEO @ GitHub

"No GPU? No problem. Check out Fastino's GLiNER model"

Scott Johnston
CEO @ Docker

1000x

Inference Speed vs. Generic LLMs

600,000+

Monthly Downloads & Growing Developer Adoption

We believe the next breakthroughs in intelligence research will come from billions of agentic employees, and we are in a unique position to help them. If you have aligned expertise and are excited by our mission, please get in touch.


Founding Team

Ash Lewis @ash_csx

George Hurn-Maloney @george_onx

Tom Lewis

Julia White

Urchade Zaratiana @urchadeDS

Henrijs Princis

Kelton Zhang

Matt Thomas

Dhruv Atreja @DhruvAtreja1

Henry Fawcett


Community & support