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Fastino Labs
The data, models, and platform to fine-tune edge-optimized SLMs.
TL;DR
Product: Task-specific language models (TLMs/GLiNER) and a Personalization API
Performance focus: CPU/edge-first, low-latency inference (claims of <50ms for some models)
Headquarters: Palo Alto, California
Team size: ~21 employees
Funding: ~$24–25M across Nov 2024 pre-seed and May 2025 seed
Company Overview
Problem Domain
Deploying efficient, task-optimized language models for low-latency inference on CPUs and edge devices for enterprise extraction, classification, and personalization tasks.
Industry
Artificial intelligence / Machine learning
Tech Stack
Funding Track Record
$7.0M
$17.5M
Investor Signal
“Backed by institutional investors including Khosla Ventures, Insight Partners, and M12; participation from additional angels and funds”
Founders
What we do
Join the Team
Startup jobs. A lot of them.
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