NOW TAKING PROJECTS FOR Q3

Applied AI and
product engineering.

TekGalaxys is a UK-based studio building computer vision, hyperspectral imaging, hardware-edge AI, mobile, and web systems — from research prototype to shipped product.

What we do

Eight capabilities. One team.

Deep in vision and AI. Broad across mobile, web, and edge. Composed to what your project actually needs.

Computer Vision

Classification, detection, segmentation, image enhancement, OCR, ego-motion, and multi-camera pipelines — engineered to run in the real world.

Hyperspectral Imaging

Material identification, quality inspection, defect and decay detection using spectral data that RGB can’t see. A rare capability.

3D & Sensor Fusion

LiDAR, depth, RGB, and IMU fused into visual odometry, 3D reconstruction, and point-cloud pipelines using YOLO, NeRF, and EfficientNet.

Hardware & Edge Deployment

Embedded ML, IoT automation, custom sensor rigs, and edge inference tuned for latency and power. From board to production.

Applied AI & LLMs

RAG systems, vision-language models, document AI, agent workflows, and LLM integrations built with production discipline.

Forecasting & Time-series

Demand, decay, throughput, and anomaly forecasting — from CPG to industrial operations. Statistical and deep-learning approaches.

Mobile Apps

Cross-platform Flutter and native iOS / Android. Marketplaces, on-demand services, care platforms, everyday utility apps.

Full-stack Web

Next.js on the front, Postgres and Supabase on the back. Dashboards, operations platforms, and consumer web apps.

Selected work

Product shapes we’ve built.

A cross-section of what teams hire us for — from vision-in-the-loop systems to consumer marketplaces to internal ops platforms.

Assessment platform

Mock-exam engine with 11+ paper modes, adaptive difficulty, analytics, and student dashboards.

Consumer marketplace

Cross-platform Flutter app connecting owners with service providers — profiles, bookings, in-app payments.

AI-powered ATS

Resume-matching product with LLM-based scoring, native mobile clients, and a Python back end.

Manufacturing operations

Factory build-tracking platform on Next.js and Supabase — real-time production visibility for the floor.

Document Q&A / RAG

PDF-grounded question answering with embeddings and citations, deployed for enterprise document search.

Multi-source intelligence

Scraping and analysis platform that turns 14+ public sources into a queryable startup / market intel feed.

AI health platform

Android product with AI-powered health checks, provider recommendations, and profile management.

Multi-platform product suite

One product, four surfaces — Python back end, web dashboard, iOS and Android apps sharing a single API.

Why teams pick us

The difference is who’s actually on the keyboard.

Senior engineers, end-to-end

Every engagement is led by senior engineers with production experience — not stitched together with juniors and project managers.

Research meets real world

We live at the intersection of applied research and shipped systems. Our models survive crumpled inputs, poor lighting, and messy industrial environments.

Whole systems, not notebooks

Data pipelines, model architecture, edge deployment, product wrapper. We ship the entire loop, not just the interesting part.

Outcomes over hours

We scope to outcomes, ship weekly, and stay accountable to the metric — not the timesheet.

Industries

We’ve shipped in.

Domain-flexible, with hard-won pattern recognition from these fields.

Industrial AI & sortingAutomotive perceptionMedical imagingCircular economy / recyclingAgriculture & foodConsumer marketplacesEd-tech & assessmentPet & health platformsHR & recruitment AI

Kind words

They shipped what our previous team hadn’t figured out in six months. And it actually worked in production, not just on the test set.
Founder, industrial AI startup
A rare combination — deep vision expertise with the pragmatism to actually get a model into the field.
Head of Product, sustainability platform

Have something to build?

Tell us what you’re working on. We’ll come back within one business day with next steps.