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Digica

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Deep Learning in Computer Vision, Machine Learning

Digica is a product and systems engineering company. We build the technology behind other companies' products and get it into production, where most AI and software projects stall.

For over a decade, our 70+ engineers across the UK, US and Poland have shipped complex systems for companies whose products depend on hard engineering, across technology, defence, manufacturing, healthcare, agriculture and industrial sectors. 300+ systems delivered into live production.

  • Min project size
    $10,000+
  • Hourly rate
    $50 - $99 / hr
  • Employees
    50 - 249
  • Locations
    Manchester, England
  • Year founded
    Founded 2009

2 Locations

  • Manchester , England
  • Łódź , Poland

Service Lines
AI Development
70%
Custom Software Development
20%
AI Consulting
10%
Select Focus Area
AI Expertise
Computer Vision
50%
Machine Learning
40%
Natural Language Processing
10%
AI Consulting Focus
AI Deployment
50%
AI Maturation
30%
AI Strategy
20%
Industries
Advertising & marketing
10%
Automotive
10%
Financial services
10%
GPS, Navigation & GIS
10%
Government
10%
Information technology
10%
Manufacturing
10%
Medical
10%
Telecommunications
10%
eCommerce
10%
Clients
Enterprise (>$1B)
45%
Midmarket ($10M - $1B)
45%
Small Business (<$10M)
10%
Certified in:
Custom Software Development

Pricing Snapshot

Min. project size $10,000+
Avg. hourly rate $50 - $99 /hr
Rating for cost 4.6 /5

What Clients Have Said

Digica offers competitive pricing aligned with client budgets, demonstrating good value for cost. Projects ranged from $25,000 to over $200,000, with clients noting effective communication and timely delivery. Overall, Digica is perceived as a reliable partner for various software development needs.

This summary is based on verified Clutch reviews.

Most Common Project Size

$10,000 - $49,999 based on 13 reviews
< $10,000 $10,000 - $49,999 $50,000 - $199,999 > $200,000
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Digica Review Insights

Overall Review Rating

4.8
  • Quality 4.7
  • Schedule 4.8
  • Cost 4.6
  • Willing to Refer 4.7

Top Mentions

Review Highlights

  • Talented and Skilled Team

    Digica is praised for its talented engineers and broad skill set. Clients value their technical expertise and ability to deliver high-quality software solutions across various technologies and platforms.

  • Adaptability and Problem-Solving Skills

    Digica is recognized for its adaptability, often working in new domains and adjusting to changing project scopes. Clients appreciate their problem-solving skills and ability to remain unblocked by challenges.

  • Effective Staff Augmentation

    Clients benefit from Digica's staff augmentation services, which help scale R&D efforts without expanding internal resources. Their contributions are integral to clients' core product developments.

  • Responsive and Client-Focused Approach

    Clients appreciate Digica's responsiveness to their needs, with a focus on delivering results that align with client goals and expectations. Their client-centric approach is a key factor in their success.

  • Areas for Improvement in Initial Scoping

    Some clients noted that initial project scoping could be improved, especially for complex projects. Better scoping can help manage expectations and streamline project execution.

  • Successful Machine Learning Implementations

    Digica's work in machine learning, including developing classifiers and improving model performance, is well-received. Clients have seen significant improvements in their systems' capabilities.

Digica Reviews

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Deep-Learning Model Dev for Thermal Camera Company

  • AI Development Custom Software Development
  • Machine Learning Python
  • Confidential
  • Apr. 2022 - June 2023
5.0
Quality
4.0
Schedule
5.0
Cost
4.0
Willing to Refer
4.0

"They were easy to work with."

Jun 28, 2023
Video Analytics Engineer, Thermal Camera Company
Anonymous
Verified
  • Other industries
  • Sweden
  • 5,001-10,000 Employees
  • Online Review
  • Verified

Digica was hired by a thermal camera company to develop a deep-learning model. They created a POC for a specific app and provided comprehensive documentation for the client.

IoT Development for Pest Control Company

  • IoT Development
  • Less than $10,000
  • Oct. - Nov. 2021
5.0
Quality
5.0
Schedule
5.0
Cost
5.0
Willing to Refer
5.0

"They were very dedicated and delivered results as expected."

Nov 30, 2021
Project Manager, Pest Control Company
Anonymous
Verified
  • Other industries
  • London, England
  • 5,001-10,000 Employees
  • Online Review
  • Verified

Digica was hired by a pest control company to improve the object detection function of their IoT solution. The team initially led a discovery phase before implementing the solution's upgrade.

Software Dev for Radar Manufacturer

  • Custom Software Development
  • Confidential
  • Mar. 2019 - Jan. 2020
5.0
Quality
5.0
Schedule
5.0
Cost
5.0
Willing to Refer
5.0

"Their management was well organized and responsive."

Apr 1, 2020
Engineering Manager, Radar Manufacturer
Anonymous
Verified
  • Manufacturing
  • Montreal, Quebec
  • 501-1,000 Employees
  • Online Review
  • Verified

Enigma Pattern was tasked with investigating convolutional neural networks (CNN) and implementing CNN algorithms into the product code of a radar manufacturer. 

Showing 21-23 of 23 Reviews

Our Story

Digica is a product and systems engineering company. We build the technology behind other companies' products and get it into production, where most AI projects stall. For over a decade, our 70+ engineers across the UK, US and Poland have delivered AI, computer vision, embedded systems, software and cloud for technology, defence, manufacturing, healthcare, agriculture and industrial clients. 300+ systems shipped — not a vendor, but the engineering partner that stays.

Meet the Team

Søren Bradbury

Søren BradburyCEO

CEO of Digica, a UK-based AI and software engineering company. Has led computer vision, ANPR, face detection and smart-home projects for clients across defence, physical security, telecoms and healthcare. 300+ systems delivered into production.

Justyna Półrola

Justyna PółrolaŁódź Business Unit Manager

Certified Project Manager with 10+ years of experience, specializing in software projects for agriculture and defence. Currently leading the Łódź department, responsible for the success and growth of our engineering office.

What Sets Us Apart

Built for Production, Not Demos

Most AI and software projects stall between a promising prototype and a working product. Digica is built to close that gap, we've delivered 300+ systems into live production, on real hardware, at real scale, in environments where failure has consequences.

One Team, Full Stack — Edge to Cloud

No more stitching together body shops and niche specialists who don't own the outcome. Digica is one accountable team across AI, computer vision, embedded systems, software and cloud — engineering the whole system and standing behind how it performs.

Start Small. Scale When It Works.

Most engagements begin with a concrete deliverable inside 90 days — a low-risk way to see how we work. From there it's your call. Clients keep building with Digica because we already know their product and systems inside out, so every next project moves faster and costs less to scope.

Quick Facts

23 Verified Clutch Clients

17 years in business

Commonly Asked Questions

Most AI projects don't fail because the model is bad, they fail in the gap between a working demo and a deployable product. A model that performs in a notebook often breaks once it meets real hardware with a fixed compute budget, messy real-world data at scale, and the constraints of a live environment. Common reasons: the prototype was built to impress in a demo rather than to run in production; the data pipeline that worked on a clean dataset falls over on real inputs; no one owns the embedded or cloud layer the model depends on; or the team that built the prototype isn't the team that has to ship it, so hard-won knowledge is lost in the handover. Digica is built to close that gap. We engineer for production from day one — designing for the specific device, network, data volume and regulatory standard the system will actually run against. Because we work as one team across AI, computer vision, embedded systems, software and cloud, nothing falls between vendors or disciplines. We deliver working, testable systems rather than slideware, and the team that builds your prototype is the team that takes it into production. If the technology is core to what you sell, getting it wrong isn't an option and it's why we've delivered 300+ systems into live production rather than leaving them as unfinished pilots.

Digica is a product and systems engineering company. We build production-grade technology for companies whose product depends on hard engineering, where the technology isn't a side feature but the thing you actually sell. Our work spans the full stack as one end-to-end system: AI and machine learning; computer vision for inspection, quality, surveillance and analysis; embedded systems and AI that run on constrained edge devices; software platforms built from scratch; and the cloud infrastructure underneath. We can start with the AI, move it on-device, scale the cloud beneath it and add analytics on top, all with a single team. We work across technology, defence and security, manufacturing, healthcare and life sciences, agriculture and other industrial sectors. Typical systems include AI embedded directly into production-line hardware, edge AI for contested or comms-denied environments, computer vision for medical imaging and diagnostics, precision-agriculture monitoring, and bespoke platforms for organisations whose needs have outgrown off-the-shelf products. With 70+ engineers across the UK, US and Poland and more than a decade shipping production technology, Digica is built for companies that need complex systems delivered properly, not just prototyped.

It depends on the project and an honest answer matters more than a sales pitch. Building in-house makes sense when the work is permanent and full-time a steady workload that will keep a team busy long after launch — and you can hire and retain the engineers to cover it. If that's your situation, invest in your own team. An engineering partner is a strong choice in most other cases, and for a wider range of work than people assume. Use a partner when you want capability now rather than after a six-to-nine-month hiring cycle; when you'd rather buy a delivered outcome than manage extra headcount; when you want senior engineers who have already shipped production systems rather than people learning on your project; or when the work will scale up and down and a fixed team would sit idle in the quiet periods. None of that depends on the project being exotic — it applies as much to a standard software platform as to a complex AI system. That breadth is the point. Digica delivers across the full range: complex AI, computer vision and embedded systems at one end, and straightforward software platforms and cloud builds at the other all to the same production standard. A good partner should be a valid default way to resource serious engineering work, not a last resort for the hard problems. The thing to get right is the kind of partner. A body shop bills you by the head and leaves you to integrate the work and own the result; a single-discipline specialist covers only one layer of the stack, so you coordinate several vendors. Digica is a product and systems engineering partner: one accountable team that designs, builds and ships the whole system and stands behind how it performs in production, on a routine build as much as a demanding one. It doesn't have to be either/or, either. Many clients run a partner alongside an in-house team, we add delivery capacity and engineering depth, their people hold the product knowledge and the balance shifts as needs change.

It starts with a technical conversation, with engineers who have shipped products like yours, not salespeople. It's a genuine working discussion about what you're building, the constraints you're up against, and what getting it into production actually requires. From there, we scope a concrete first deliverable: typically a working prototype, a validated model, or a testable system within 90 days, something real you can evaluate, not a slide deck or a workshop output. It's a low-risk way to see how we work before committing to anything larger. From day one we engineer for production, designing for the specific device, network, data volume and regulatory standard the system will run against, so what we build is ready to ship rather than just demo. Our team integrates closely with yours throughout, working as an extension of it. After that first deliverable, it's entirely your call. Many clients choose to keep building with us, taking on more of the system as the relationship proves itself but you scale on results, on your terms.

Yes. Much of Digica's work is in environments where failure carries real consequences, well beyond a missed deadline, defence and security, regulated healthcare and life sciences, and safety-critical industrial systems. In defence and security that includes edge AI and computer vision for surveillance and reconnaissance hardware, and real-time processing for contested or comms-denied environments. In healthcare it includes AI and computer vision for medical imaging and diagnostics, and clinical data platforms, engineered to the reliability and auditability a regulator demands. In industrial settings it includes systems where downtime or error carries direct operational and safety costs. We engineer to the standard the hardware, the data and the regulator require, with reliability, auditability and traceability designed in from the start rather than added at the end. With more than a decade working in these sectors, we're used to projects held to a higher bar — where getting the engineering right is the whole point.

Locations (2)

Office NN, The ClassRooms, Stanley Square, Sale Manchester, England M33 7WZ

10 - 15

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