Name: Digica
Address: Office NN, The ClassRooms, Stanley Square, Sale, Manchester, England, M33 7WZ, GB
Telephone: +44 (0) 208 126 1156
Price range: $50 - $99
Rating: 4.8

Deep Learning in Computer Vision, Machine Learning

Digica is an independent Data Science and Artificial Intelligence company. We help our clients by applying the latest Data Science and AI tools and techniques to their systems and products. This leads to highly customized solutions for our customers. Based on our own extensive research program our experienced team makes sure that the best available approach is applied in any situation. We have deep expertise in the field of image processing including Deep Learning for Computer Vision and leading-edge commercial implementation of Synthetic Imaging. Our work also covers the fields of Large Language Models, Audio Analysis, and Predictive Maintenance. As a group of engineers and engineering managers, we are experts in the practical application of Artificial Intelligence and Machine Learning. We help to innovate by applying Machine and Deep Learning techniques. If you believe your product or solution can be improved by AI, but to do so seems to be too complex or risky, our well-experienced team will help you to overcome challenges and will guide you into the World of “new electricity”.

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

No have been added yet...

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 and good value, with project costs ranging from $25,000 to over £200,000. Clients appreciate their flexibility, communication, and alignment with budgetary needs, indicating a strong return on investment.

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

Customer-Centric Approach

Digica is noted for their customer-centric approach, building strong partnerships, understanding client needs, and aligning with their values. They are seen as genuine partners invested in client success.
Strong Project Management

Clients commend Digica for their solid project management skills, including effective communication, timely delivery, and structured workflows. They are noted for adapting their processes to client needs and maintaining regular updates.
Notable Cultural Fit and Value Alignment

Clients often choose Digica for their cultural fit and alignment with company values. This alignment contributes to smoother collaborations and shared objectives in project execution.
Effective Communication

Digica is recognized for their excellent oral and written communication, which facilitates smooth collaboration. They maintain regular virtual meetings, provide detailed reports, and respond swiftly to client needs.
Quality of Technical Expertise

Clients appreciate Digica's deep technical knowledge and ability to deliver high-quality solutions. Their expertise in AI, machine learning, and software development is a key factor in their successful project outcomes.
Challenges with Initial Scoping

Some clients noted challenges with initial project scoping, indicating a need for improved clarity and expectations management at the project outset. However, these issues were generally resolved as projects progressed.

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Digica Reviews

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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

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.

Digica delivered the project in two weeks, and all deliverables met the client's requirements. They established efficient collaboration through their regular communication and updates and hands-on approach. They were willing to go the extra mile to deliver results that elevate the client's solution.

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

Service Company. Project Manager

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Digica, and what were your goals?

To improve object detection capability in ongoing innovation projects.

SOLUTION

How did you select this vendor and what were the deciding factors?

Suggested by a third party. Value for money and clear interest and desire to complete work.

Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.

The project was completed within around 2 weeks, starting with a kick-off meeting and ending with a wrap-up meeting after the 2 weeks. Communication with the Digica team was strong throughout, there were always on hand to provide update when required.

How many people from the vendor's team worked with you, and what were their positions?

4 individuals Sales Development (digital expertise)

RESULTS & FEEDBACK

Can you share any measurable outcomes of the project or general feedback about the deliverables?

All deliverables were completed as requried to a good standard.

Describe their project management style, including communication tools and timeliness.

All sufficient for the short project that we worked with Digica on.

What did you find most impressive or unique about this company?

They were very dedicated and delivered results as expected.

Are there any areas for improvement or something they could have done differently?

No.

RATINGS

5.0

"Pleasure to work with, delivered great results."

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

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.

While the scope and results of the project remain confidential, the client commends the team for their well-organized project management and an impressive response rate. Enigma Pattern's dedication to pleasing the client and flexibility in the face of changes both make them a remarkable partner.

Showing 21-22 of 22 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

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.

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

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.

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Verified Client Reviews: 22

Overall Review Rating: 4.8

Source: Clutch

Last Updated: September 2, 2025

Business Entity

Business Entity Name	Digica Solutions Limited
Source	Companies House
Jurisdiction of Formation	United Kingdom
Date of Formation	March 20, 2009
Status	Active
Last Updated	April 23, 2021
ID	06853474

Credit Report Results

International Credit Risk Assessment	Low Risk
Source	Creditsafe
Last Updated	January 1, 2022

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Locations (2)

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

10 - 15

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Digica

Deep Learning in Computer Vision, Machine Learning