On-premises
Open LLMs like Gemma and Qwen, all inside your network. Code and data don't leave the building.
- Code and data stay inside your network
- Open LLMs (Gemma, Qwen, and others)
- Even the strictest policies, handled
Issues
Sound familiar?
- Ported the model, but it doesn't hit performance targets.
- Quantization hurt accuracy, and tuning never ends.
- Every chip change means another full port and re-optimization.
- Vendor SDKs alone can't get you to peak performance.
- You want to outsource — but the model and code can't leave the company.
Fixstars solves these with 20 years of embedded acceleration experience and an AI-native development environment.
Service
From port to peak performance
We take your AI model from "running" to "running at the limit of your target silicon" — porting, optimization, validation, and continuous improvement. Vision models, in-vehicle LLMs and VLMs, open or custom — we handle them all.
Port
Get your model running on the target hardware. We work with chip-specific SDKs and toolchains to adapt the model to its new environment.
Optimize
Quantization, kernel optimization, memory layout tuning, and processor task allocation — striking the right balance among accuracy, latency, and power.
Validate
Real-hardware benchmarks, accuracy validation, and latency measurement to confirm you have hit the spec.
Improve
As models, chips, and toolchains evolve, we keep performance moving in the right direction over time.
Technology
Agents in the
Agents in the
optimization loop
Our optimization pipeline is driven by AI agents — and the agents carry 20 years of embedded acceleration knowledge. Chip-specific patterns, quantization strategies, lessons from past projects. The agents consult all of it when making optimization decisions.
Work engineers used to do by hand now runs on agents. The result: hardware-level performance, in a fraction of the time.
For Your Team
Explore Secure AI Environment
Want this stack for your own team?
End-to-end support for a secure AI dev environment — infrastructure that keeps code in-house, AI coding tools, internal knowledge integration, and adoption training.
Platforms
Works on your silicon
We port and optimize across a wide variety of processors, including the targets below. Each gets architecture-tailored optimization, and next-generation processors come online as they ship.
SoC platforms
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NVIDIA DRIVE Thor
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NVIDIA DRIVE Orin
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Renesas R-Car
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Qualcomm Snapdragon Ride & Cockpit
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Mediatek Dimensity Auto
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NXP S32
DSPs
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Synopsys ARC VPX DSP
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Cadence Vision DSP
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CEVA Vision AI DSP
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Texas Instruments DSP
Other processors? Get in touch.
Security
Your code stays yours.
Your code stays yours.
Performance stays peak.
Choose on-premises or dedicated cloud — whichever matches your security policy. Either way, your code and models never leave your perimeter.
Dedicated cloud
Use the latest API-based LLMs like Claude Code in a dedicated cloud environment. Your input and output never feed model training.
- Access to the latest LLMs (Claude Code and others)
- Input and output never used for training
- Performance and flexibility, together
Why Fixstars?
Fixstars' Strengths
100+ clients. 20 years. 99% come back.
We have helped over 100 clients across industries ship faster software. They keep coming back — 99%+ continued-engagement rate.
Learn more
To speed up software, know the hardware
CPU, GPU, FPGA, DSP, SoCs — we have shipped optimization work on all of them.
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AI-native, with proprietary knowledge
20 years of acceleration knowledge, built into the development environment. Runs on-prem so your code never leaves your infrastructure.
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Get Started
Talk to an engineer
Let's talk
Tell us about your model, your target, and your performance goals.