Shorter schedule
For example, an optimization or porting project that typically takes six months can be delivered in about two months, bringing your product to market months earlier.
Value
Our optimization and porting work, in one-third the time. Turn time saved into competitive advantage.
Standard pricing
No rush fees. You pay the same as you would for a standard-schedule project.
Better quality and performance
Rigorous testing ensures quality while maximizing hardware performance. A shorter schedule never means cutting corners on quality or performance.
* Schedules and pricing vary by scope. You will get a specific estimate as part of a free assessment.
Services
Our services
We optimize software and port it to embedded devices on shorter schedules. End-to-end support: on-device benchmarks, model accuracy validation, and ongoing performance improvements after delivery.
Performance optimization
Make your existing system several times faster.
- Profile bottlenecks and determine the theoretical performance ceiling
- Apply multithreading, vectorization, GPU acceleration, memory optimization, and quantization
Typical workloads
Image & signal processing
AI inference & training
Simulation
Numerical computing
Embedded device porting
Port AI models and applications to embedded devices and validate performance on real hardware.
- Work with chip-specific SDKs and toolchains for the target environment
- Use quantization and optimized kernels to maximize hardware performance while maintaining accuracy
Supported platforms
NVIDIA DRIVE / Jetson
Renesas R-Car
Qualcomm Snapdragon
Tenstorrent
FPGAs
DSPs
We support a wide range of other processors, FPGAs, and DSPs beyond the examples above. Contact us to discuss your target platform.
How it works
How we deliver speed and quality
All Fixstars engineers use a dedicated AI agent environment for optimization and porting. Our performance specialists developed it in-house and improve it daily. It goes well beyond what general-purpose AI coding tools can do.
Why it's fast
Built for optimization and porting
Unlike general-purpose AI coding tools, the environment already carries chip-specific optimization patterns, quantization strategies, and performance-measurement know-how.
20 years of expertise inside
Our proprietary knowledge from two decades of optimization projects is built in, and the agents draw on it as they work.
Continuously improved by specialists
Dedicated optimization and porting specialists improve the environment every day, so our engineers keep getting more productive.
Your project
AI agent environment for optimization & porting
Fixstars Vega: in-house AI platform
Run on our own on-premises hardware
What keeps quality high
Human
Design & technical decisions
Engineers set architecture and optimization strategy
AI
Implementation & test generation
Implement the plan and generate comprehensive tests
Human
Review & performance validation
Engineers request revisions until criteria are met
Deliver only approved work
Engineers make the technical decisions
Fixstars engineers own the design, technical decisions, and code reviews, combining AI speed with professional quality.
Comprehensive test coverage
AI agents write the tests we used to skip for lack of time. Combined with engineer reviews, this reduces rework and defects escaping to the field.
Validation results included
Deliverables include test results, benchmarks, and design documentation, so your team can maintain and extend the software after handoff.
All Fixstars engineers use this workflow. Before development, we agree with you on quality criteria, the test approach, and performance targets.
Security
Your data stays inside Fixstars
The AI agents used for development run on infrastructure we operate ourselves. Your specifications, source code, and data are never sent to external AI services.
In-house AI infrastructure
All AI processing stays on Fixstars' own servers. We run open-weight LLMs on our own hardware.
No external AI services
Nothing you send us reaches an outside service, and nothing is used to train external AI models.
NDA & IP terms: unchanged
NDAs, handling of confidential information, and ownership of deliverables follow the same framework as our existing contract development work.
GPL license screening
We run a GPL contamination checker over the source code we deliver, confirming that no GPL-licensed code has made its way in.
Contact us to discuss access controls, audit support, and other requirements under your security policies.
Case study
Faster AI inference at one-eighth the effort
Fixstars engineers and AI agents optimized inference for SparseDrive, an open-source 3D object detection model for autonomous driving. We compared this approach with hand-optimization.
1 person-week
Development effort (manual: ~2 person-months) *1
3.95×
Inference speedup (162.3 → 41 ms/iteration)
Approach: using our in-house AI platform, we deployed the model with TensorRT, applied post-training weight quantization (PTQ) *2, and integrated custom CUDA kernels as TensorRT plugins. The result was a larger speedup than hand-optimization achieved, at a fraction of the engineering effort.
*1 Timeline achieved by a single engineer already experienced with deploying this model. *2 Accuracy: mAP 0.428 → 0.417 due to PTQ; we expect calibration to recover this. Hand-optimization retained 0.428.
The full case studies are in our brochure
It walks through the workloads we targeted, the optimization techniques applied, and the measurement conditions and results, with the numbers. Alongside this case, it also covers accelerating an image segmentation pipeline.
Track record
20 years with leading manufacturers
20+ years
In software performance engineering
100+ companies
Supported
99%+
Customer repeat rate
Learn more about what sets Fixstars apart
Medical devices
Medical imaging acceleration
CT image reconstruction runs tens of times faster than with conventional methods, bringing midrange scanners up to the performance of competing high-end systems.
Automotive
Renesas partnership
Co-developed GENESIS for R-Car, an AI development toolset that streamlines model compression and optimization for Renesas' automotive SoC.
Automotive
Sony Honda Mobility
Fixstars AIBooster was adopted for AFEELA's autonomous-driving AI training environment, improving GPU compute efficiency.
We also have extensive performance-optimization and development experience across industrial equipment, semiconductors, finance, life sciences, and more.
Process
Our process: four steps, starting with a free assessment
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01
Free assessment
We review the workload, its current performance, and the target environment, then estimate what performance is achievable and how much time you can save.
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02
Proposal
We agree with you on the schedule, test approach, performance targets, and cost before development begins.
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03
Development
Fixstars engineers and AI agents work together, sharing progress and deliverables weekly.
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04
Delivery
We deliver working software along with test results, benchmarks, and design documentation.
Get started
Start with one use case
Tell us which workload you want to accelerate or which model or application you need to port to an edge device. In a free assessment, we estimate how much time you would save, what performance is achievable, and what it would cost.
Request a Free AssessmentWhat we need from you
- Overview of the workload or model to optimize or port
- Current execution time, throughput, memory usage, and performance targets
- Target environment (hardware, OS, runtime, programming language, etc.)
- Desired delivery date and deployment timeline