Award-winning · AI Dev Co. of the Year 2026 · Top 1% Upwork

Your team shouldn't be spending time and resources on manual and repetitive tasks — AI should!

We build computer vision and AI-powered automation systems for tech-driven SMEs that handle routine decisions 24/7 — saving 20+ hours per week. Clients see ROI within 60 days.

80%+ efficiency gains
MVP in 6-8 weeks
ROI within 60 days
Immediate Wins Working MVP in 6-8 weeks.
Rapid Experimentation Test fast, learn faster, scale fastest.
Measurable Results Track real ROI from day one.
Outperform Competitors Stop falling behind, start pulling ahead.

As seen in

80%+

Average efficiency gain delivered across all client engagements

6-8

Weeks from kickoff to working MVP — our core delivery commitment

Average ROI within the first year across our projects

5.0 ★

Client satisfaction rating across every completed engagement

How we work

Our Proven Approach:
Rapid Integration, Real Results.

Here's how we turn your AI aspirations into competitive advantage — not in months, but in weeks.

01

Understanding Your Needs

We immerse ourselves in your business challenges — pain points, untapped potential, operational constraints. This deep dive lets us pinpoint exactly where AI creates the most significant impact for your organisation.

Strategy · Audit · Roadmap
02

Rapid Prototyping & Data Collection

This is what sets us apart. We swiftly implement an initial solution, delivering immediate value while collecting real-world data. Early results. Refined objectives. Stakeholder buy-in — fast.

4-6 Weeks · Working Prototype · Real Data
03

Your Custom AI Solution

Armed with real-world data and deep business understanding, we develop and integrate a full-scale AI solution tailored to your workflow. Seamless integration. Ongoing support. Long-term competitive advantage.

Production · Integration · Support
Technologies we deploy
Open-Vocabulary Object DetectionMultimodal LLMsTransfer LearningRAG PipelinesYOLOv10 PyTorchElasticsearchEdge InferenceDocker · AnsibleAWS · Azure
Beyond Client Work

We don't just build AI.
We advance it.

Open Source
🛡️

Creators of AngelCV

We built and maintain an open-source computer vision library used in real-world firearm detection for schools and hospitals. A from-scratch YOLOv10 PyTorch implementation — NMS-free, hardware-agnostic, Apache 2.0 licensed.

50+ RTSP streams
<300ms Latency
Apache 2.0 License
🎙️

Sharing our Experience

We go behind the scenes to share real technical insights and conversations with business leaders on how to implement AI that actually works.

Weekly insights for tech leaders
Education
🎓

Machine Learning & Self-Driving Cars

Our Udemy course has trained 62,900+ learners worldwide — teaching the fundamentals of computer vision and autonomous systems engineering.

62,900+ learners on Udemy
Client Success Stories

Hear directly from clients
we've partnered with.

Every quote below is from a real video testimonial. These are their words, not ours.

" Video

This new machine learning model will increase that $1 billion dollar savings even further. Gradient Insight was responsive, handled a complex domain well, and delivered with no hesitation on performance.

Tim Meek
Tim Meek Co-founder, Project Geminae
" Video

I would 100% recommend them. Honestly, I don't even know if I'd want to — I kind of want to gatekeep and keep them for us.

Andre Battles
Andre Battles Co-founder, SLM Holdings
" Video

The architecture developed delivered outstanding threat detection accuracy while significantly reducing costs. Any company looking to push the boundaries of what's possible with AI would be fortunate to work with them.

Lewis Matthews
Lewis Matthews CEO, Angel Protection
" Video

Gradient Insight exceeded the brief and improved our AI efficiencies by over 80%. Working with them was a game changer — it gave me the confidence to take on bigger projects from major enterprises. Stop wasting time and hire them immediately.improved AI efficiencies by over 80%

Andreas Voniatis
Andreas Voniatis Founder, Artios
" Video

They improved our computer vision pipeline and helped shape our product strategy. We increased successful usage from 60% to 80%.

Nico Giraldo
Nico Giraldo Founder & CEO, Opitas
" Video

I tried working with nine other people before hiring them. None of them could actually deliver. With them was different. They cared about the results, the reliability to actually get things done.

Joseph Williams
Joseph Williams Founder, Dendri Design

Verified on Clutch

What We've Built

A selection of projects
that delivered real value.

View all case studies
Angel Protection
97.3% accuracy
Computer VisionSecurity AI

Real-Time AI Gun Detection for School Security

Custom YOLOv10 PyTorch model achieving 97.3% accuracy across 50+ RTSP streams — with 90% hardware cost reduction via distributed AI architecture.

Angel Protection Read case study
Project Geminae
$1B impact
Machine LearningFinance

AI Portfolio Optimisation in Oil & Gas

Interpretable ML models driving improved prediction accuracy across complex energy portfolios — projecting potential $1B growth over 10 years.

Project Geminae Read case study
Artios
80% efficiency gain
AI AutomationSEO

SEO Agency Improves AI Efficiencies by 80%

AI-powered workflow overhaul delivering 50× faster code generation and 80% efficiency boost — enabling the agency to win major enterprise clients.

Artios Read case study
SLM Holdings
Near-zero errors
Computer VisionBanking

AI Coin Counting Boosts ATM Efficiency

AI-powered coin recognition system transforming ATM operations — enhancing counting accuracy, reducing errors, and improving the end-user experience.

SLM Holdings Read case study
21Moves
+20% users
Computer VisionMobile

Computer Vision Drives 20% User Growth

CV enhancements to a Rubik's Cube solver app delivering a 20% user surge — the app now holds 500k+ downloads and a 4.7-star rating.

21Moves Read case study
Dendri Design
40% throughput increase
AI VisionLogistics

Transforming Warehouse Operations with AI

Advanced AI Machine Vision system deployed at scale — boosting warehouse accuracy, throughput, and operational productivity across the facility.

Dendri Design Read case study
See it in action

Computer Vision
Implementation Blueprint

Watch a full breakdown of our Computer Vision Implementation Protocol — step by step, from zero to production.

Computer Vision Blueprint
Frequently Asked

Common questions,
honest answers.

Can't find the answer? Get in touch directly.

How do I know if AI is actually a good fit for my business?

If you have repetitive workflows, manual review processes, or decisions based on images, video, or structured data, there's usually a strong opportunity. During the first call, we'll assess whether AI will create real ROI — and if it won't, we'll tell you directly.

What if we're not sure what to build yet?

That's completely normal. Many clients come to us with a vague idea or just a problem. We'll help you identify the highest-impact opportunity, define a realistic AI solution, and prioritise what to build first.

What kinds of problems do you typically solve?

We focus on high-impact use cases: automating repetitive operational workflows, computer vision systems (inspection, detection, monitoring), reducing manual review or decision-making time, and internal tools that improve team efficiency. If your team spends time on tasks that feel repetitive, slow, or error-prone — that's where we come in.

Do you work with early-stage startups or only established companies?

Both — but the best fit is teams that have real workflows in place, already feel the pain of inefficiency, and are ready to implement. We move fast and deliver tangible results, so you need to be ready to act on them.

Do you use off-the-shelf tools or build custom from scratch?

Both. We choose the fastest and most effective approach based on your problem: pre-trained models when speed matters, custom models when accuracy or specificity is critical. The goal isn't to over-engineer — it's to deliver a system that works reliably in your real-world environment.

Our data is messy and incomplete. Can you still help?

Yes — and you're not unusual. Most companies we work with don't have clean, labelled datasets ready to go. Our rapid prototyping process is specifically designed to build the dataset during the project. We start with flexible, general-purpose AI models that work on raw data, then collect real-world examples as we go.

How long does it take to see results?

You'll have a working prototype within 4-6 weeks. Most agencies spend months scoping before building anything. We flip that: we build first on a defined scope, so you see the AI doing its job early and can make informed decisions about what to scale.

Do we need a technical team in-house to work with you?

No. We're often the technical team. We handle everything from scoping and data strategy to model development and integration. We work directly with business stakeholders, not just engineers — and we translate the technical work into plain language throughout.

What happens after the project is delivered?

AI systems degrade when the world around them changes — new edge cases, shifting data distributions, product updates. We offer ongoing maintenance and iteration as part of our long-term partnerships to ensure your system continues to perform.

Ready to begin?

Start with a conversation.
Leave with a strategy.

No obligation. No sales pitch. A direct conversation with the expert who will build your solution — and a clear picture of where AI delivers the most impact for your business.

Book free discovery call

Direct expert access · Strategy-first · Portsmouth, UK