What We Do
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Discovery & Architecture
Before a line of code is written, we assess hardware fit (FPGA, NPU, GPU, or hybrid), AI model feasibility on-device, dataset sufficiency, and compute architecture. We set latency, accuracy, and throughput targets upfront — and produce a costed build roadmap you can take to procurement.
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Build Sprint — Concept to Working PoC
A time-boxed, fixed-scope engagement that takes your problem from definition to a working prototype on real hardware. Sensor input, AI inference, output signal — running on the actual compute platform, not a simulation. Ends with a working PoC and a scoped roadmap for the production build.
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Full Production Build
The complete journey from Sprint output to a production-ready system. Hardware finalised, firmware hardened, AI pipeline validated against production accuracy targets, system integrated into the client's machine or process. We hand over a system that works, not just code.
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Hardware Design and Supply
We design custom FPGA compute boards, integrate our proprietary CameraLink IP core, and produce hardware for PoC and low-volume production. For production-scale manufacture, we provide full design files and documentation for the client's preferred contract manufacturer.
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Firmware and BSP Ownership
We write and own the full firmware stack — RTL, kernel drivers, embedded Linux BSP, SDK. No black-box IP from third parties in the critical path. When something needs changing in the field, we can change it.
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System Validation
Every build engagement closes with system-level testing against agreed latency, accuracy, throughput, and reliability targets. The client receives a validation report alongside the system.
Who This Is For
We work with.
Companies exploring on-device AI for the first time who need a clear assessment before committing to a build programme.
OEM machine builders who need an embedded AI system and don't have an AI or hardware engineering team in-house.
AI product companies who have a working model and need someone to build the production hardware and integration around it.
Industrial automation companies who need a new on-device AI capability built from the ground up by a full-stack partner.
What You Get
A system that works, not just code.
Costed Architecture Report & Build Roadmap
A detailed system design with hardware selection, AI feasibility analysis, and a phased build plan — so you know exactly what you're getting, what it costs, and how long it takes before a line of code is written.
Working PoC on Real Hardware
A functional prototype with sensor input, AI inference, and output signal running on the actual compute platform — not a simulation. Proves feasibility and delivers a scoped roadmap for the full production build.
Fully Production-Ready AI System
Hardware, firmware, inference pipeline, and application layer — validated against agreed performance targets. Proven in production: Falcon Compute Platform and LUMA Inspection Series are YantraVision products running in industrial environments today, built on the same stack we offer here.
Get Started
Not sure where to start?
Begin with a Discovery session — we'll tell you what's possible and what it takes. No commitment required.
Last updated: March 2026