Fastino Raises $17.5M to Build Task-Optimized Language Models (TLMs) for Enterprise AI

Fastino empowers AI builders with lean, high-performance LLM alternatives tailored to specific enterprise needs offering an efficient path to scale without the heavy infrastructure burden of traditional foundation models.

Fastino Raises $17.5M to Build Task-Optimized Language Models (TLMs) for Enterprise AI
Source: Fastino

Company Name: Fastino
Location: Palo Alto, CA
Industry: Model Architecture

Funding Details:

  • Amount: $17.5M (Seed)
  • Total Raised: $25M
  • Investors:
    • Lead: Khosla Ventures
    • Participants: Insight Partners, Valor Equity Partners
    • Angels: Scott Johnston (ex-CEO of Docker), Lukas Biewald (CEO of Weights & Biases)

Purpose of Investment:

  • Expand operations
  • Accelerate development of TLM (Task-optimized Language Models)

Leadership:

Product:
Fastino builds Task-optimized Language Models (TLMs) for enterprise developers, focused on:

  • Accuracy
  • Speed
  • Security
    Its models are designed for near-instant inference on CPUs and support flexible deployment across environments—from local servers to the cloud.

About Company:
Fastino empowers AI builders with lean, high-performance LLM alternatives tailored to specific enterprise needs offering an efficient path to scale without the heavy infrastructure burden of traditional foundation models.

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