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mind oss
A processor held between fingertips

Embedded AI / Agentic Workflows

AI is moving fast, and embedded systems bring their own constraints: limited compute, tight power budgets, real-time requirements. Mind OSS sits at the intersection: deep embedded expertise combined with active, hands-on work in generative AI, so you get AI that actually fits your hardware.

Photo: Brian Kostiuk / Unsplash

Our AI-related offering:

  1. On-prem LLM implementation

    Run language models on your own infrastructure, keeping your data private and your costs predictable.

  2. Close up of dark blue circuit board

    Constraining LLMs

    Get models to behave reliably within the boundaries your product needs, instead of operating as an unpredictable black box

  3. Embedded AI design

    From model selection to quantization, we help you bring AI onto resource-constrained devices without compromising on performance

Why Mind OSS

  1. Embedded machine learning

    Our strong expertise in embedded devices puts us in a strong position for edge AI. We stay current on training and quantizing models and up to date with the latest trends in the domain.

  2. Generative AI

    The generative AI landscape moves fast, and not every model or technique is right for every job.

  3. A rack of servers in a server room

    Self-hosting

    We’re closely tracking developments in self-hosted LLM models. Our engineers’ dream? A coding assistant with today’s best cloud-AI capabilities, running entirely on their development laptop's own processing power.

  4. Quality over quantity

    All of these explorations share a common philosophy: we're not aiming to increase code quantity (and attack surface), we’re aiming for code quality.

Want to bring AI into your product?

Tell us what you're trying to build, and we'll help you figure out what's realistic on your hardware and how to get there.

Get in touch