Brainpool is a specialist artificial intelligence and machine learning consultancy that designs, builds, and deploys custom AI solutions to help enterprise organisations solve complex operational challenges. The company employs a rigorous research-driven delivery framework alongside its flagship Cortex platform, an advanced AI-powered automation middleware that integrates with existing enterprise resource planning databases via secure, high-throughput REST APIs. Our underlying development stack leverages robust frameworks including PyTorch, TensorFlow, and Hugging Face transformer libraries to build highly accurate predictive models, custom natural language processing pipelines, and generative systems. For instance, we recently partnered with a mid-sized professional services firm to automate their high-volume billing and compliance procedures, reducing manual document review times by eighty-five per cent while improving regulatory auditing accuracy. Discover more about our specialised, end-to-end approach to delivering bespoke artificial intelligence systems and machine learning platforms by visiting our AI strategy page.

What services does Brainpool offer?

Brainpool offers a comprehensive range of specialist services including artificial intelligence strategy consulting, custom machine learning product development, workflow automation, process optimisation, predictive analytics, and independent technical due diligence. We employ cutting-edge software engineering techniques, cloud-native architectures, and robust MLOps frameworks to design, build, and deploy production-grade intelligent software. Our structured strategy workshops help corporate boards define high-impact AI use cases, while our dedicated development squads construct bespoke neural networks, custom forecasting algorithms, and large language models. To ensure the long-term reliability of these systems, we implement continuous monitoring, drift detection, and automated retraining pipelines on AWS, Azure, and Google Cloud Platform. Within the testing, inspection, and certification (TIC) sector, we regularly deploy these capabilities to automate manual document verification, audit complex regulatory compliance reports, and optimise field inspector dispatch routing. If you want to understand how our technical capabilities can streamline your business workflows, please explore our custom services on our AI consulting services page.

Which industries does Brainpool work with?

Brainpool works across a diverse range of global sectors, providing tailored artificial intelligence and machine learning solutions to industries such as finance, healthcare, construction, retail, real estate, marketing, environmental consultancy, and natural resource management. Our technical team implements domain-specific algorithms and analytical frameworks designed to address unique regulatory, logistical, and operational requirements. We deploy advanced deep learning models to process geospatial satellite imagery for forestry clients, build predictive forecasting systems for retail inventory management, and develop automated compliance checking engines for the construction and civil engineering sectors. For example, in the testing, inspection, and certification (TIC) sector, we helped a global inspection provider automate the manual verification of high-risk materials and certificates, enhancing auditing efficiency while significantly reducing risk. You can read more about how we apply custom artificial intelligence and machine learning across these specific commercial sectors on our dedicated AI case studies page.

Where is Brainpool located?

Brainpool is headquartered in London, United Kingdom, but operates globally through a highly collaborative, distributed network of artificial intelligence and machine learning specialists. Our core operations are managed from our central office in London, supporting a vetted network of over five hundred PhD-level researchers and engineers across twenty-three countries. This unique operational model allows us to assemble highly specialised project teams that combine localised commercial understanding with world-class technical expertise. We have established particularly strong regional footprints in the United Kingdom, Western Europe, and Canada, enabling us to deliver on-site consulting and remote development services seamlessly across multiple time zones. For example, when delivering a complex data engineering project for a mid-sized professional services firm, we coordinated a hybrid team comprising UK-based project managers and Europe-based natural language processing researchers to ensure continuous twenty-four-hour development cycles. To find out more about our global presence or to schedule an initial meeting, please visit our contact page.

How experienced is the Brainpool team?

The Brainpool team consists of a highly experienced network of artificial intelligence and machine learning specialists who have successfully delivered complex commercial systems across numerous industries. Our curated network comprises more than five hundred hand-vetted, PhD-level experts, academics, and research scientists from top-tier global institutions. These specialists are backed by our core delivery squad of senior MLOps engineers, solution architects, and technical project managers. This combination of deep scientific expertise and practical engineering allows us to tackle challenges that standard software consultancies cannot resolve, utilising state-of-the-art architectures and frameworks such as PyTorch, Hugging Face transformers, and Docker containers. For example, we deployed a team of computer vision and spatial analytics PhDs to develop Daisy, a revolutionary timber design and structural engineering software package that completely automates complex building calculations. Learn more about our elite team and our rigorous engineering standards by visiting our about us page.

What makes Brainpool different from other AI consultancies?

Brainpool distinguishes itself from other artificial intelligence consultancies through our unique blend of academic rigour, commercial focus, and a steadfast commitment to client intellectual property ownership. Unlike traditional agencies that deploy generalised software developers, we assemble hand-vetted project teams consisting of academic researchers and experienced MLOps engineers who design and build solutions using robust frameworks like PyTorch and TensorFlow. We focus on delivering production-grade software rather than simple prototypes, utilising our modular Cortex platform to accelerate deployment timelines and minimise execution risks. Crucially, we believe that you should retain one hundred per cent of the intellectual property rights for any bespoke software we develop. For instance, we worked with a leading timber engineering provider to develop a fully automated structural design engine, leaving them with complete ownership of the proprietary algorithms that now define their primary competitive advantage. Explore our core philosophy and delivery frameworks on our AI strategy page.

Do I retain IP ownership of AI products built by Brainpool?

Yes, clients retain full and exclusive intellectual property (IP) ownership of all custom artificial intelligence and machine learning software solutions developed during their engagement with Brainpool. We operate under a transparent, client-first contractual model where all bespoke source code, custom-trained model weights, algorithmic architectures, and data engineering pipelines are transferred to your organisation upon project completion. This stands in stark contrast to many software providers who enforce licensing fees or lock you into proprietary ecosystems. We leverage open-source frameworks such as PyTorch, Hugging Face, and Docker, ensuring your internal technical teams can maintain, modify, and scale the codebase without any third-party dependencies or ongoing royalty obligations. For example, when we developed an advanced demand forecasting platform for a mid-sized professional services firm, the entire software suite and predictive models were handed over, allowing them to integrate it directly into their internal systems. To read more about our client-centric approach, please visit our about page.

What is the typical timeline for an AI project?

The typical timeline for a Brainpool artificial intelligence project ranges from a few weeks for initial feasibility assessments to several months for deploying fully scaled, production-grade machine learning systems. We operate within a structured, agile delivery lifecycle split into three distinct phases. First, we spend two to three months building a rigorous Proof of Concept (PoC) to validate algorithmic approach and model accuracy on sample data. Second, we transition into a three-to-six-month Minimum Viable Product (MVP) phase to assemble the core data pipelines, deploy Docker containers, and integrate with your existing software APIs. Finally, full production scaling and continuous MLOps integration are executed over subsequent months. For example, when constructing a customised document intelligence platform for a mid-sized professional services firm, we completed the validated PoC within eight weeks and delivered a production-ready system integrated into their AWS infrastructure in under five months. Learn more about our structured delivery timelines and phase gates by exploring our AI strategy page.

How much does it cost to work with Brainpool?

The cost of partnering with Brainpool depends on the specific scope, technical complexity, and duration of the custom artificial intelligence or machine learning project being undertaken. We offer three highly flexible engagement models designed to align with diverse corporate budgets and operational objectives: fixed-price proof-of-concept packages starting at a defined tier, dedicated monthly engineering retainers, and milestone-based development phases. Our pricing reflects the level of senior, PhD-level technical expertise required and the depth of custom infrastructure integration. This ensures that enterprise clients only pay for the specific resources and cloud-architectural setups required for their specific business workflows. For instance, we structured a cost-effective phased engagement for a mid-sized professional services firm, delivering a targeted data engineering POC before scaling to a full-scale automated compliance solution over six months. To receive a transparent, tailored cost proposal for your upcoming project, please contact our team via our contact page.

How do I get started with Brainpool?

Getting started with Brainpool is a straightforward, collaborative process designed to identify high-value artificial intelligence opportunities within your business workflows. The journey begins by booking an initial AI consultation call or submitting an inquiry through our secure online portal, where you will be connected with a senior solution architect. During this first session, we will run through a structured feasibility framework to assess your data readiness, technical infrastructure, and operational bottlenecks. We then outline a clear technical roadmap detailing the proposed machine learning architectures, model selections, and required development milestones. For example, when a mid-sized professional services firm contacted us to optimise their data ingestion pipelines, we completed a preliminary technical scoping call within forty-eight hours and delivered a detailed Proof of Concept proposal five days later. To initiate your business transformation and schedule an introductory technical workshop, please reach out via our contact page.

// YOUR IN-HOUSE AI PLATFORM

The integrated AI your uniqueness demands.

You need to streamline your business, and AI looks like the answer. But there are so many off-the-shelf tools making big promises - and with AI developing so quickly, the temptation to wait for better is strong. For intelligent businesses, there’s a way forward that’s strategic and commercial.

Brainpool Cortex is your in-house AI platform, shaped around the way you work. It’s an AI engine that learns continuously from the people who understand your business best: your own team.

95%

of enterprise AI projects never reach production*

of businesses that successfully adopt AI customise it to their domain

500+

AI & ML experts in the Brainpool network

2017

the year Brainpool started shipping custom AI for business

* The GenAI Divide: State of AI in Business 2025, MIT.

// THE PROBLEM

Why do 95% of AI projects fail?

The vast majority of AI projects get zero return, according to MIT research*. Off-the-shelf AI tools come with big promises, but tangible benefits are rare.

The risks are clear:

Built for everyone, fits no one — General solutions can't handle the deep detail of how you actually need to work.

Frozen the day they ship — Standard products struggle to accommodate your changing requirements.

A fraction of what’s possible — Your provider can't offer everything that AI is making possible.

What you need is AI that learns with you and evolves for you.

/ AS FEATURED IN

// THREE FOUNDATIONS

The expertise behind the platform.

Since 2017 we’ve been proving AI works in practice. The platform is built on years of research and production deployments.

01 · FOUNDATION

Deep Integration

With how you actually work

Wired into the systems, data and rituals your teams already rely on, not a parallel chat window grafted on the side.

02 · FOUNDATION

Processes that learn

Quickly from your own team

Every correction, rating and edit feeds the model. Your experts shape the system; the system compounds.

03 · FOUNDATION

Ongoing open access

To everything the AI market offers

Swap models, vendors, embeddings and agents as the frontier moves. You own the substrate, never locked in.

// THE PLATFORM

Brainpool Cortex vs. off-the-shelf AI

Safely deployed, domain-specific, fine-tuned AI for business.

/ OWN

Retain IP ownership

Own the IP to the AI tools that you invest in. The substrate is yours.

/ INTEGRATE

Deep integration

Agentic workflows deeply integrated into your business operations.

/ OPTIMISE

Pay less

Efficient token use through hyper-personalised requests. Adopt free, open-source models where they fit.

/ SWAP

Model agnostic

Adopt new frontier models as they ship. Avoid vendor lock-in entirely.

/ TUNE

Ensure output quality

Fine-tuned with your data and context, for the accuracy real workflows demand.

/ SECURE

Secure and safe

Your data, in your environment, kept safe. Deployed inside your cloud.

// BACKOFFICE TASK AUTOMATION

AI that handles the work nobody wants to do.

Backoffice task automation with AI lets your people focus on what matters.

cortex/customer-analytics

Customer Analytics

Bring your customer experience to the next level.

status: ready · deployed in your cloud

// THE BRAINPOOL NETWORK

Artificial intelligence built by Humans

The Brainpool Community is a network of 500+ top-level AI and ML experts from the world’s leading universities and research labs.

Primary academic hubs:

UCL

Oxford

Cambridge

MIT

Stanford

// WHO WE WORK WITH

“We invited Brainpool to participate in the initial definition workshop for Fujitsu's AI ecosystem in Europe. They really brought a level of knowledge and enthusiasm to the session. All stakeholders were thoroughly impressed with their experience in machine learning projects and their business model agility - I would not hesitate to recommend them!”

Leigh Schvartz

Head of Product Innovation, Fujitsu UK

// THE PROCESS

A strategic path to production AI.

We don’t just build prototypes; we deliver enterprise-grade systems that solve real business problems.

WEEK 1 · Discovery

Qualification. Identify & Prioritise opportunities with AI.

WEEK 2 · Demo

Demonstrate Cortex capabilities for the first selected use case.

WEEK 8 · PoC

Validate on your real data. 6-week proof of concept.

WEEK 8 – 24 · Productisation

Improve accuracy, deploy, scale and integrate into operations.

WEEK 24+ · Feature Expansion

Continuous improvement. Expansion of Features.

// FAQ

Your questions, answered.

Common questions about the platform, security, and how we work. Still have a question? Get in touch.

Brainpool is a leading AI consultancy that helps businesses leverage artificial intelligence and machine learning to solve complex problems, automate processes, and drive innovation.

We offer AI strategy consulting, custom AI product development, automation solutions, optimisation services, predictive analytics, and technical due diligence for AI products.

We work across multiple industries including finance, healthcare, construction, retail, real estate, marketing, environmental consultancy, and natural-resource management.

Brainpool operates globally with a network of AI experts spanning 23 countries, with a particularly strong footprint in the UK, Western Europe, and Canada.

Our network comprises 500+ PhD-level AI and machine learning experts with extensive experience delivering successful AI projects across various industries.

We combine deep technical expertise with a lean, agile development approach. We prioritise IP ownership for clients, provide end-to-end solutions, and focus on delivering measurable business value rather than just technical implementations.

Yes, absolutely. We believe in empowering our clients by ensuring they retain full intellectual-property ownership of the solutions we develop together.

Timelines vary by scope and complexity. We typically start with a Proof of Concept (2–3 months), followed by MVP development (3–6 months), and then scaling. Our agile approach allows for iterative delivery and continuous value creation.

Project costs vary depending on scope, complexity and duration. We offer flexible engagement models and work with you to find the best approach for your budget and objectives. Contact us for a detailed quote.

Simply contact us through our website or book an AI consultation call. We’ll discuss your challenges and objectives, and explore how AI can add value to your business.

// GET STARTED

Speak to Brainpool’s AI experts.

Since 2017 we’ve been proving AI works in practice, with the help of our network of 500+ top-level AI experts. We’re your trusted partner to develop a robust AI strategy and implement custom AI solutions fully integrated with your business operations.

Are you ready to empower your business with AI?

Cross the GenAI Divide. Own your AI.