Implementing AI and computer vision solutions for enterprises
Supercharge your business with new technologies – deployed securely, compliantly, and at enterprise scale. Delivered from London by a team of 300+ specialists led by Oracle ACE Director Matt Mulvaney.
Led by Oracle ACE Director Matt Mulvaney
Our UK operations are led by Matt Mulvaney – one of only 17 Oracle ACE Directors in the world – based in London. Every AI and computer vision engagement benefits from local strategic oversight, with all work governed by English Law through Pretius Ltd, a fully registered UK entity (Company No: 147557660). For UK enterprises navigating UK GDPR, FCA data governance requirements, and ICO obligations, this matters.
Matt Mulvaney
Pretius Ltd CEO / London-based leadership
♠ Oracle ACE Director — 1 of 17 worldwide
AI and computer vision implementation
01
Pretius AI Semantic Search
Pretius AI Semantic Search allows you to improve access to key information within your organisation. It provides fast and secure access to data housed in distributed sources — without sending that data to third-party servers.
The solution connects to any source — files, knowledge bases, databases, service systems — and allows precise searches using natural language prompts, making it extremely easy to use even without training. When asked a question, Pretius AI Semantic Search responds with an accurate answer and the source on which it is based.
The solution connects to any source — files, knowledge bases, databases, service systems — and allows precise searches using natural language prompts, making it extremely easy to use even without training. When asked a question, Pretius AI Semantic Search responds with an accurate answer and the source on which it is based.
Flexible deployment – on your terms
You can use it as a standalone tool or as a module embedded in existing systems. It can work locally (on-premise) or in the cloud. For UK organisations subject to UK GDPR, data sovereignty requirements, or FCA data handling rules, the on-premise deployment option means your data never leaves your controlled environment.
The solution is secure and highly accurate: it achieves up to 85–90% answer accuracy after initial setup, rising to 95% with further tuning.
The solution is secure and highly accurate: it achieves up to 85–90% answer accuracy after initial setup, rising to 95% with further tuning.
02
Pretius AI Knowledge Management
Our AI Knowledge Management Toolkit is a collection of solutions for optimising your organisation's content creation processes. It answers users' questions, provides document summaries, and enables sentiment analysis — judging whether text is positive, neutral, or negative, and identifying emotions within it. The technology can also conduct on-the-fly comparisons of document fragments or entire files.
A practical content creation tool for enterprise teams
You can personalise existing content based on specific data and instructions to fit different use cases, or generate entirely new content based on fragments, snippets, or bulleted lists.
Depending on your needs, Pretius AI Knowledge Management can be embedded into an existing CMS or accessed via API-based integration — making it straightforward to add AI-powered capabilities to your current workflows without replacing your existing systems.
Depending on your needs, Pretius AI Knowledge Management can be embedded into an existing CMS or accessed via API-based integration — making it straightforward to add AI-powered capabilities to your current workflows without replacing your existing systems.
03
Computer vision development
Whether you are a business leader looking to optimise operations or a growing company eager to embrace new tools for a competitive edge, investing in computer vision solutions opens doors to numerous innovative possibilities across healthcare, manufacturing, retail, financial services, logistics, and more.
Systems powered by computer vision have a dynamic understanding of visual information over time. They can track the movement of objects or people — vehicles, workers, equipment — identify activities, and accurately interpret their context. They are also capable of perceiving structure and depth to recognise the complexity of objects and understand spatial relationships between them.
Computer vision also enables machines to interpret, understand, and categorise visual data — segmenting images into meaningful components for detailed analysis that drives decision-making processes.
Systems powered by computer vision have a dynamic understanding of visual information over time. They can track the movement of objects or people — vehicles, workers, equipment — identify activities, and accurately interpret their context. They are also capable of perceiving structure and depth to recognise the complexity of objects and understand spatial relationships between them.
Computer vision also enables machines to interpret, understand, and categorise visual data — segmenting images into meaningful components for detailed analysis that drives decision-making processes.
Proven PoCs built by the Pretius team
We have created two Proofs of Concept demonstrating computer vision's real-world enterprise value:
- Construction site access control: Built for a large construction company, this system scanned QR codes on the helmets of workers entering a construction site to identify them and allow or refuse entry. The solution also detected people by outlining silhouettes, and could scan faces for an added layer of security — directly relevant for UK Health and Safety Executive (HSE) compliance on major construction sites.
- Venue security and presence detection: A platform that detected human presence at a venue to identify potentially concerning events and unauthorised guests. Integrated with existing HIKVision cameras, it identified people, tracked their movements frame by frame, and alerted administrators when necessary. The system also enabled verbal search — for example, typing "a person in a cap" to find matching photos in the logs. For UK deployments, we design these systems to comply with ICO guidelines on biometric data processing and UK GDPR requirements for automated decision-making and surveillance technologies.
Semantic search and knowledge management use cases

HR professionals and recruiters
AI enables sifting through vast amounts of data with remarkable precision. The technology understands the context and intent behind queries, allowing recruiters to find candidates that perfectly match their needs — not just based on keywords but on the nuances of job descriptions and applicant profiles. HR teams can also automate the creation of onboarding documents, employee handbooks, and internal communications.

Sales agents
Sales agents use AI Semantic Search to reduce response times, increase overall efficiency, and enhance sales conversion. They can quickly retrieve detailed product and service information, historical data, or customer insights during interactions with prospects — all via a question asked in natural language.

Software developers
Developers and other specialists who do not typically focus on advanced content creation can use our AI Knowledge Management Toolkit to write technical documentation and similar content more easily — reducing time spent on documentation without sacrificing quality.

Legal experts
Legal professionals can utilise AI to draft contracts and legal letters with enhanced accuracy while minimising the risk of errors — particularly valuable for UK law firms and in-house legal teams dealing with high volumes of standard documentation under English Law.

Procurement specialists
Procurement teams use AI Semantic Search to source processes more efficiently and improve decision-making. They can quickly find suppliers that meet specifications and align with the organisation's values and sustainability goals — supporting smarter purchasing decisions in compliance with UK public procurement regulations.

Customer support specialists
With AI, customer support teams can instantly identify the most pertinent resources based on the nuances of a support query. This streamlines workflows for support teams and empowers them to provide personalised assistance that resonates with customers and their specific needs.

Marketing departments
Marketing teams can leverage AI to generate engaging promotional materials and reports quickly, freeing up valuable time for strategising and creativity.
Computer vision use scenarios
Improving security
Companies can use computer vision to detect movement in places with restricted access — a company office after hours, a data centre floor, a secure manufacturing area — and allow authorised people access in an easy, non-obtrusive way by scanning faces or QR/bar codes.
To prevent errors, additional identification measures such as PIN codes or security-staffed gates can be integrated. The system can also spot people who are not authorised to be somewhere, track their actions, take photos, log their activity, and notify the administrator or security team if necessary.
We can connect the system to an MLLM (Multi-modal Large Language Model) that understands and analyses text, creating verbal descriptions of photos. This enables verbal search — for example, typing "a person in a red jacket" to find matching images in the logs. For UK deployments, we design these systems to comply with ICO guidelines on biometric data processing and UK GDPR requirements for automated decision-making and surveillance technologies.
To prevent errors, additional identification measures such as PIN codes or security-staffed gates can be integrated. The system can also spot people who are not authorised to be somewhere, track their actions, take photos, log their activity, and notify the administrator or security team if necessary.
We can connect the system to an MLLM (Multi-modal Large Language Model) that understands and analyses text, creating verbal descriptions of photos. This enables verbal search — for example, typing "a person in a red jacket" to find matching images in the logs. For UK deployments, we design these systems to comply with ICO guidelines on biometric data processing and UK GDPR requirements for automated decision-making and surveillance technologies.
Enhancing and speeding up data analysis
Computer vision is a powerful tool for analysing visual data accurately and instantly, applicable across UK industries:
- Construction: Predictive maintenance — identifying problems in equipment before they become a health and safety risk, supporting HSE compliance obligations.
- Manufacturing: Product validation and defect detection to boost quality assurance — supporting ISO 9001 and sector-specific quality standards common in UK manufacturing.
- Retail: Real-time inventory monitoring, customer insight collection via retail heatmaps, and personalised product recommendations.
- Healthcare: Accelerated disease identification and diagnosis by analysing MRI or X-ray images against existing data to detect anomalies — subject to UK MHRA and NHS Digital data governance frameworks.
- Agriculture: Crop monitoring and yield prediction, optimising operations for UK farms navigating post-Brexit agricultural policy.
- Smart city and transport: Identifying pedestrians and vehicles to optimise traffic flows or parking infrastructure — relevant to UK local authority and transport authority programmes.
Empowering automation
In some cases, computer vision enables machines to operate autonomously, without or with minimal human supervision. This powers tools such as warehouse robots operating on an assembly or production line 24/7 — supporting UK manufacturers seeking to address labour market pressures while maintaining operational continuity.
The Pretius UK advantage for AI and computer vision
Data sovereignty and UK GDPR compliance by design
For UK enterprises, the question is not just whether an AI solution works — it is whether it can be deployed in a way that satisfies UK GDPR, ICO guidance on AI, FCA data governance requirements, and sector-specific standards. Our on-premise deployment option ensures your data never leaves your controlled environment. Every solution we build is designed with data protection by design and by default, in line with UK GDPR Article 25.
Local UK accountability
Pretius Ltd is a fully registered UK entity (Company No: 147557660) headquartered in London, governed by English Law. All engagements are 100% IR35-compliant. You receive a clean B2B partnership with local contracts — no contractor risk, no cross-border complexity for data processing arrangements.
Instant enterprise scale
In a market where specialist AI and computer vision expertise is scarce, Pretius provides immediate access to 300+ in-house salaried specialists. Senior teams are deployable within two weeks. No recruitment delays, no IR35 exposure.
London–Warsaw Hybrid Model
Strategic consulting and AI governance from our London office, combined with the engineering depth of our Warsaw Centre of Excellence. This means high-end AI and computer vision capability delivered at a significant cost advantage compared to purely London-based agencies.
Value-driven approach
Our focus extends beyond the model or the algorithm. We collaborate closely with British business leaders to ensure every AI solution delivers measurable ROI, enhances efficiency, and drives tangible results. We act as trusted advisors — recommending the right approach for your specific challenge, not defaulting to the latest trend.
Start small, think big
We champion delivering value incrementally. We help you launch quickly with core functionalities — a focused PoC or MVP — while ensuring the underlying architecture is scalable and future-proof, ready to grow from a departmental tool to an enterprise-wide capability.
By the Numbers
+ years
Powering market leaders
+
In-house specialists available
+ projects
Successfully delivered
% of clients
Become long-term partners
Up to %
Answer accuracy achievable with AI Semantic Search after tuning
+ years
Of experience with cloud solutions (AWS, Azure, GCP, OCI)
ISO 27001 certified · UK GDPR compliant · DORA ready · IR35-compliant engagement
Want to learn what AI and computer vision can do for your business?
Book a no-obligation discovery call and find out how quickly we can create a Proof of Concept for your solution!
Our process
Pretius acts as a dedicated partner, not just a software vendor. We focus on delivering practical AI solutions that contribute to your business objectives at every stage of our engagement.
Phase 01
Analysis and ideation
Our projects begin with analysts working with you to define the problem and identify how AI can provide an effective solution. We run collaborative workshops to dive deeper into your processes and goals. When needed, we build a Proof of Concept or a working demo. We make sure we are solving the right problem, in the right way, from the very start — including understanding any UK regulatory or data governance constraints that shape what is possible.
Phase 02
Designing effective solutions
Once we have a list of specific requirements, our architects and developers design a solution that meets them, provides the best business value, and fits your technology stack and long-term growth strategy. We can provide clickable Figma visualisations to help you understand how the system will look and work. We choose technologies purely based on what fits your project.
Phase 03
Development
The actual development of the AI solution, adapted to your preference — whether you require a fixed-scope Waterfall method, an iterative Agile process, or a combination that best fits your project management needs and governance requirements.
Phase 04
Maintenance
Our scale enables us to provide ongoing maintenance for the solutions we build. The scope of services is always clearly defined in the SLA. This commitment to long-term support is reflected in the fact that 93% of our clients continue working with us after the initial project, with some partnerships lasting over 18 years.
Phase 05
Further scaling and improvement
Business needs change, and AI systems must improve and evolve to keep pace. We are prepared to extend your solution with new modules, expanded data sources, additional languages, or new modalities. Just tell us what you need, and we will work with you to adapt accordingly.
Case studies
Munich Re HealthTech – 4 Months to Modern SaaS
Migrating a legacy system to Oracle APEX to reduce costs, implement new features, and automate processes. Tasks that used to take days now only take a few minutes.
Sweco – Optimising infrastructure management for 120+ cities
Migrating the urban infrastructure management app to Oracle APEX and launching a DevOps team at Sweco streamlined operations and reduced costs of developing custom modules for various municipalities.
T-Mobile – Modern CRM for 11M clients
Thanks to the new CRM system, sales consultants at T-Mobile can work more effectively, quickly creating new sales offers. The modular, microservice architecture made the system more future-proof — every functionality can now be updated without shutting down the whole system.
Flexible project approaches
01
Co-creation
This model integrates our developers directly with your in-house team. Together, we design and develop the solution, fostering mutual learning and knowledge transfer. The "triple win" ensures the system is perfectly aligned with your needs, builds internal expertise for future maintenance, and provides us with valuable industry-specific knowledge.
03
02
Dedicated development teams
We provide complete, cross-functional teams — developers, data scientists, ML engineers, analysts, testers, and project managers — acting as an extension of your own workforce while you maintain strategic control.
02
03
Comprehensive project delivery
We take full ownership of the project lifecycle — design, development, and delivery — with optional ongoing maintenance, requiring minimal involvement from your side.
04
Team augmentation
When you need to quickly fill specific skill gaps within your existing team, we provide experienced AI, computer vision, or data specialists to seamlessly integrate with your in-house capabilities. Fully IR35-compliant.
What our Clients say
FAQ
Computer vision enables computers to process images and videos in ways that were once thought to be the exclusive domain of humans. This technology utilises algorithms and deep learning techniques to analyse visual data, allowing machines to recognise objects, track movements, and make decisions based on what they see.
Computer vision works by processing and analysing images or video data to extract meaningful information. This process begins with capturing visual input through cameras or sensors, which converts images into digital formats. Advanced algorithms then identify patterns and features within the images — detecting edges, shapes, colours, and textures — to enable interpretation and decision-making.
Unlike traditional keyword-based search engines that rely solely on matching terms, AI semantic search leverages advanced algorithms to understand the context and intent behind a user's query. It interprets the nuances of language, recognises relationships between concepts, and delivers results that are far more relevant and meaningful than simple keyword matching.
NLP focuses on enabling computers to understand, interpret, and respond to human language in a way that is both meaningful and contextually relevant. Semantic search applies this ability to let machines understand the intent behind search queries, as well as the context and relationships between terms — producing more accurate, useful results.
An AI knowledge base is an advanced system designed to store, manage, and retrieve information efficiently. It serves as a centralised repository where data is organised in a way that allows for quick access and intelligent processing — a vast library that can be queried and analysed in real time using natural language.
Yes. The on-premise deployment option is specifically designed for organisations where data sovereignty, UK GDPR compliance, FCA data governance requirements, or internal security policies prevent data from being sent to external cloud services. Your data stays within your controlled environment — you have full control over access permissions and data flows.
We design AI solutions with data protection by design and by default, in line with UK GDPR Article 25. For computer vision deployments involving facial recognition or biometric data, we advise on ICO guidance on biometric data processing and design systems that satisfy those requirements — including appropriate legal bases, data minimisation, and retention policies. For automated decision-making components, we ensure transparency and human oversight mechanisms are built in from the start.
Yes. Every specialist is a full-time, salaried Pretius employee. By engaging Pretius Ltd — our registered UK entity — you receive a clean, risk-free B2B partnership that eliminates all IR35 off-payroll working exposure. No contractor arrangements, no hidden risk, no administrative burden.