nAIxt Technologies

The Engineering Behind Our Advice

Clients hire us for sound decisions and reliable delivery. These technologies — and a decade of building with them — are the proof that our judgment is grounded in practice, not slideware.

Computer Vision

Computer Vision

Computer Vision

Visual AI for industrial environments — defect detection, spatial understanding, and document intelligence, engineered to run reliably at the edge, on-premise, or in the cloud.

Example Applications:

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Quality Control - Automated defect detection in manufacturing
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Document Processing - Intelligent document analysis and data extraction
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Medical Imaging - Disease detection and diagnostic support

Generative AI

Generative AI

Language, image, and code generation applied with judgment — we help you decide where generative AI creates measurable value, then engineer it into governed, production-grade workflows.

Example Applications:

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Content Creation - AI-powered writing assistance for marketing copy and technical documentation
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Image Generation - Create custom visuals and modify existing images instantly
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Code Generation - Accelerate development with AI-powered code suggestions and optimizations

Synthetic Data & Simulation

Synthetic Data & Simulation

Synthetic Data & Simulation

Training and evaluation data for the cases you cannot collect or label — rendered and physically simulated data, generative augmentation and world models, with the sim-to-real gap measured rather than assumed.

Example Applications:

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Rendered & Simulated Data - Pixel-exact segmentation, depth and pose straight out of the renderer
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Vision-Language Training Data - Documents, charts and drawings generated with their answers attached
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World Models - Learned simulators for closed-loop policy training and evaluation

Agentic AI & Workflow Automation

Agentic AI & Workflow Automation

Agentic AI & Workflow Automation

Agents that change state in real systems need permissions, evaluation and rollback, not just a good prompt. We find the workflows worth automating and build them to survive operation.

Example Applications:

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Workflow Discovery - Finding the tasks that survive a frequency, input, recoverability and ownership filter
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Approval & Rollback - Irreversible steps behind human confirmation, with a path to undo them
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Evaluation Harnesses - A fixed case set that tells an improvement from a regression

Edge & On-Premise AI

Edge & On-Premise AI

Edge & On-Premise AI

What is realistically possible on edge hardware today, how to derive the right device class from your requirements, and how much of an edge AI system you should build yourself.

Example Applications:

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Requirement Before Device - Six questions that settle the architecture before a datasheet opens
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Three Tiers - On the machine, on the site, or in your own data centre
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Build or Buy, by Layer - Silicon, board and system, model and application

Multimodal Sensor Fusion

Multimodal Sensor Fusion

Multimodal Sensor Fusion

Combining radar, optical, thermal and other sensors so a system stays right when one of them is wrong. Calibration, synchronisation, uncertainty and degraded-mode behaviour.

Example Applications:

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Complementary Sensor Sets - Whether the channels genuinely fail differently in your conditions
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Calibration & Synchronisation - What keeps a fused system accurate once it is in the field
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Degraded-Mode Behaviour - Defined in advance, and tested where a channel is gone

AI Evaluation & Testing

AI Evaluation & Testing

AI Evaluation & Testing

A model that returns a valid answer can still return the wrong one. Evaluation sets built from your own cases, measuring accuracy, consistency and calibration before a model is trusted with a decision.

Example Applications:

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Evaluation Sets - Real cases, labelled against confirmed outcomes
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Consistency vs. Accuracy - Measured separately, on a pinned model version
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Reading Vendor Figures - What a benchmark or agreement score actually measures