Technologies
AI engineering, built for performance
Three core capabilities anchor every TechnoLynx engagement: computer vision, generative and agentic AI, and GPU performance engineering. Pick the one closest to your problem. Most projects span two of the three.
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Computer Vision Services
Transform your processes with advanced visual recognition and analysis. Our Computer Vision services are crafted to enhance efficiency, ensure compliance, and provide actionable insights across industries such as healthcare, manufacturing, and retail.
- Expertise in classical computer vision techniques.
- Human-supervised system design for legal compliance.
- Video pipeline optimisation using tools like FFmpeg.
- Custom models adaptable to diverse platforms.
- Explainable AI solutions for ethical transparency.
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Generative AI
Reimagine creativity and automation with generative and agentic AI. From text generation to image synthesis to autonomous agent workflows, our solutions are built on years of expertise in large language models (LLMs), neural networks, and scalable systems.
- Leaders in generative AI since 2019.
- Optimised inference for faster deployments.
- Ethical AI systems with bias mitigation.
- Autonomous agent workflows for adaptive tasks.
- Advanced simulation and prototyping capabilities.
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GPU Performance Engineering
Gain the full potential of your hardware with our GPU Performance Engineering solutions. We specialise in optimising compute-intensive workloads to deliver speed, scalability, and efficiency for AI, graphics, and scientific applications.
- Expertise in CUDA, OpenCL, and Vulkan for high-performance computing.
- Profiling and tuning for maximum throughput and minimal latency.
- Scalable solutions for multi-GPU and distributed environments.
- Custom kernels tailored to your application needs.
- Performance benchmarking and optimisation for real-world workloads.
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Production AI Reliability
Keep deployed models honest: eval harnesses, regression suites, slice-level monitoring, and release-readiness reviews that catch silent failures before users do.
- Eval harnesses with the slice cuts that matter.
- Regression suites against historical cases.
- Drift and slice-level monitoring in production.
- Release-readiness reviews you can replay.
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AI Governance & Trust
Make AI decisions reviewable: model cards, feature attribution, readiness scorecards against published rubrics, and evidence your compliance roles can read and sign against.
- Readiness scoring against named rubrics.
- Evidence IDs tied to every score.
- Explainable, auditable decision trails.
- Remediation backlogs, not certifications.
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