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How we help

Engineering expertise for problems that do not fit a playbook.

Start with a focused engagement. Leave with a ranked plan, working software, measurable improvements, or a team equipped to carry the work forward.

01

AI Consulting

Identify the right opportunities, validate them with real data, and turn successful prototypes into reliable production systems.

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02

Performance Consulting

Find the actual bottleneck and implement defensible improvements backed by reproducible before-and-after measurements.

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03

Technical Training

Equip your team to design, debug, and optimize accelerated software independently through focused, hands-on instruction.

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Measured work

Built by engineers who have been accelerating production software since 2007.

20-50x GPU acceleration demonstrated for synthetic-aperture radar workloads.

Nearly 39% Production runtime reduction following a 1,300-core system audit.

Since 2007 Deep work in GPU computing, numerical software, and production acceleration.

Engineering credibility

We do not stop at recommendations.

ArrayFire combines deep GPU expertise with practical AI engineering. We profile systems, write kernels, build prototypes, validate results, and help ship the final implementation.

• AI opportunity audits, prototypes, and productionization
• CUDA, OpenCL, oneAPI/SYCL, Jetson, C/C++, and Python
• Latency, throughput, utilization, and compute-cost optimization

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Start with the real problem

Bring us the bottleneck, the AI idea, or the system that needs to ship.

A short technical conversation is usually enough to identify whether ArrayFire can help and what the most sensible first engagement would be.