Brainpool AI
Brainpool AI is a London-headquartered AI consultancy that builds custom, deeply integrated AI solutions for mid-market and enterprise clients using a proprietary, model-agnostic platform (Brainpool Cortex) and a 500+ PhD-level expert network across 23 countries.
- Company typePrivate
- Founded2016
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingServices
What Brainpool AI does
Brainpool AI (Brainpool Ltd, registered in England and Wales, Company Number 10024360) is a London-headquartered AI consultancy founded in 2016 and operating since 2017. It positions itself as a bridge between academic AI research and commercial deployment, deploying teams of PhD-level researchers, data scientists, data engineers, DevOps specialists and software engineers drawn from a 500+ expert network spanning 23 countries, with strong footprints in the UK, Western Europe and North America. The firm's stated focus is mid-market platform businesses alongside selected enterprise accounts (including HSBC, Fujitsu, NVIDIA, IBM, Seagate and Suez), with vertical specialisations across finance, construction, environmental consultancies, testing/inspection/certification (TIC), healthcare, retail, real estate and natural resources.
The company's core technology is Brainpool Cortex — a proprietary, model-agnostic AI engine built on a microservices architecture (Kafka on Kubernetes for data streaming, Spark on Kubernetes for pre-processing) with an MLOps practice that automates model training, deployment and retirement. Cortex is sold as the substrate underneath bespoke AI deployments that are deeply integrated into client systems, continuously learn from expert feedback, and allow clients to swap models, vendors, embeddings and agents without lock-in. Branded standalone products extend the platform: Daisy (AI-powered timber/I-joist floor design at daisy.ai), Forstack (item-level demand forecasting at forstack.io) and Tunedd (AI technical due diligence for VCs at tunedd.ai). Module-level capabilities include Customer Analytics, Answer Generator, Information Finder, Report Generator and AI Agents, with named integrations including Anthropic Claude, Google Gemini, Apache Kafka, Apache Spark and Kx Systems' kdb+.
Brainpool generates revenue through a mix of professional services (Scoping Programmes, PoC Factory engagements, full custom build-and-deploy projects priced at "the cost of hiring a single data scientist" for the PoC tier, and ongoing managed-services contracts), standalone product licensing (Daisy, Forstack, Tunedd) and co-developed IP partnerships (e.g., the Staircraft-timber design platform now licensed globally). Pricing is custom and project-based; no list prices are published. The go-to-market is sales-led enterprise consulting with regional offices in London (Mayfair) and Vancouver, complemented by an organic inbound motion via the Brainpool blog, LinkedIn/X/YouTube/Facebook presence, the app.brainpool.ai community platform, and earned media in Forbes, Bloomberg, AI Magazine, Observer, Medium, AI Business and The Telegraph. Cumulative disclosed funding is approximately $519K across three small rounds in 2017–2019, and the company lists 11–50 employees (a lean in-house core supplemented by the global network).
Brainpool AI firmographics
Firmographics- Name
- Brainpool AI
- Legal name
- Brainpool LTD
- Website
- https://brainpool.ai
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Brainpool AI is a London-headquartered AI consultancy that builds custom, deeply integrated AI solutions for mid-market and enterprise clients using a proprietary, model-agnostic platform (Brainpool Cortex) and a 500+ PhD-level expert network across 23 countries.
- Ownership category
- akta.pro rank
Brainpool AI industry classification
Industry- Product category
- AI Consulting & Custom AI Development
- NAICS
- Computer Systems Design and Related Services (54151), Other Scientific and Technical Consulting Services (54169), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI/ML Engineering & Model Development Services (BPAEAHAF)
- akta.pro secondary industries
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where Brainpool AI is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices3 records
Markets served
Brainpool AI business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- AI Strategy & Scoping Programmes: Fixed-scope discovery engagements (Scoping Programmes) sold as the entry point in the lifecycle — typically 2–4 weeks — producing an AI Strategy Proposal, roadmap, data/cloud infrastructure plan, feasibility & risk assessment, and integration & scaling requirements. Acts as land-and-expand into full implementation.
- Proof of Concept (PoC) Factory: Fixed-team PoC engagements (AI Project Manager + Data Scientist + Data Engineer + DevOps Specialist) priced at roughly the cost of hiring a single data scientist, designed to validate feasibility before full build-out.
- Full Project Implementation (Build & Deploy): End-to-end custom AI solution build: data migration, engineering, custom workflow development, prototyping, deployment within Brainpool Cortex, and integration with the client's existing systems. MVP development typically 3–6 months; complex enterprise projects 6–12+ months.
- Ongoing Managed Services / Monitoring & Maintenance: Fully customized managed services agreement covering MLOps monitoring, retraining, optimization, and ongoing model maintenance after deployment. Recurring revenue stream under multi-year arrangements.
- Product Licensing (Daisy, Forstack, Tunedd): Licensing of proprietary products: Daisy (AI-powered timber design software) is licensed globally to construction companies; Forstack and Tunedd are sold as standalone SaaS via dedicated websites (forstack.io, tunedd.ai).
- Product Partnerships / Co-developed IP: Joint-venture product partnerships where Brainpool combines a client's domain expertise with its own AI engineering to co-create commercial software, with shared IP and shared revenue. Example: the timber construction co-developed automated design platform licensed globally.
- Ad-hoc AI Support & Custom LLM Consulting: Modular consulting engagement to augment an existing internal data/AI team on demand — for example, custom GPT/LLM build-outs, model fine-tuning, or short expert advisory work.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Custom quote-based engagement (no public list price) |
| Outcome Based/ Performance | Multi-year contract | Proof of Concept Factory — fixed PoC team at single-hire price |
| Subscription | Annual | Ongoing Managed Services agreement |
| One time/ perpetual license | Multi-year contract | Product licences (Daisy, Forstack, Tunedd) |
Go-to-market motion4 records
Distribution channels5 records
Marketing channels13 records
Brainpool AI product offering
Product offeringCore offering
Brainpool AI is an AI consultancy that builds production-grade, custom AI solutions for businesses, leveraging a proprietary in-house platform called Brainpool Cortex and a global network of 500+ PhD-level AI/ML experts. Its core offerings span AI strategy and scoping, PoC factory engagements, full custom AI implementation (including Custom GPT/LLM, agentic AI, computer vision, and predictive analytics), MLOps managed services, and three standalone SaaS products: Daisy (AI timber design), Forstack (item-level demand forecasting), and Tunedd (AI technical due diligence).
Product overview
Brainpool AI is an AI consultancy offering a platform-plus-modules architecture centered on Brainpool Cortex, an in-house AI engine that integrates deeply with client systems, learns continuously from user feedback, and supports model-agnostic deployment. The platform powers a portfolio of branded products including Daisy (AI-powered timber design software), Forstack (item-level demand forecasting tool), and Tunedd (automated AI technical due diligence platform), alongside an Agnostic AI infrastructure with modules for Customer Analytics, Answer Generator, Information Finder, Report Generator, and AI Agents. It also includes microservices for Data Streaming (Kafka-based) and Data Pre-processing (Spark-based), and is delivered together with end-to-end services covering AI Strategy, Proof of Concept development, AI Consultancy, Custom GPT, MLOps, Design Architecture, Data Migration, Data Governance, AI Automation, and Automated Data Digitization and Structuring. The offering is complemented by industry-vertical solutions for Construction, Finance, Healthcare, Retail, Real Estate, Marketing, Natural Resource Management, Environmental Consultancies, and Testing, Inspection & Certification (TIC).
Differentiator
Problem solved
Functional benefit
Brands
- Daisy: AI-powered automated construction/timber design software that finds the most cost-effective I-joist floor design layouts in under 10 minutes. Operates at daisy.ai.
- Forstack
- Tunedd
- Brainpool Cortex
Products and services
- Brainpool Cortex Brainpool Cortex is the company's proprietary in-house AI platform: a model-agnostic, continuously-learning AI engine that integrates into clients' existing systems, data and rituals. Every correction, rating and edit from a client's own experts feeds the model so accuracy compounds over time. It is designed to allow swap-out of underlying models, vendors, embeddings and agents without vendor lock-in, and to retain full IP ownership with the client.
- Daisy Daisy is the world's first AI-powered timber design software: a fully automated construction design system that finds the most cost-effective I-joist floor design layouts in less than 10 minutes, powered by genetic algorithms and saving manufacturers 5-10% of construction costs. Licensed globally to other construction firms via daisy.ai.
- Forstack Forstack is an item-level demand forecasting SaaS tool that incorporates various publicly available data sources and PhD-developed AI (Temporal Fusion Transformer models) to increase the accuracy of item-level sales predictions. Underlying models have achieved <10% MAPE for a US-based restaurant chain.
- Tunedd Tunedd is the first AI-powered technical due diligence platform that assesses the quality of AI products in minutes. It gives venture capitalists an understanding of the technology's value and any risks before making an investment in an AI product.
- AI Strategy & Scoping Programme A 2-4 week fixed-scope discovery engagement that produces an AI Strategy Proposal, roadmap, data/cloud infrastructure plan, feasibility & risk assessment, and integration & scaling requirements. Acts as the land-and-expand into full implementation engagements.
- Proof of Concept (PoC) Factory A fixed-team PoC engagement (AI Project Manager + Data Scientist + Data Engineer + DevOps Specialist) priced at roughly the cost of hiring a single data scientist, designed to validate feasibility before a full build-out.
- Custom AI Implementation Services End-to-end custom AI solution build service covering data migration, engineering, custom workflow development, prototyping, deployment within Brainpool Cortex, and integration with clients' existing systems. MVP development typically 3-6 months; complex enterprise projects 6-12+ months.
- Managed MLOps Services A fully customized managed services agreement covering MLOps monitoring, retraining, optimization, and ongoing model maintenance after deployment. Sold as a recurring revenue stream under multi-year arrangements.
- Custom GPT / LLM Development Tailored generative pre-trained transformer implementations using retrieval-augmented generation (RAG), semantic indexing over proprietary document stores, fine-tuning on client data, and strict hosting within the client's environment to preserve data privacy. Supports integration of LLMs such as Gemini and Claude into internal software.
Quantifiable outcome
- Improved home-appliance repair prediction accuracy from 50% to 80%
- +9 more outcomes
Companies that use Brainpool AI
Customer profileNamed customers36 records
Segments12 records
Ideal customer profiles8 records
Brainpool AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
AI capability15 records
Feature10 records
Brainpool AI partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered flagship infrastructure partnership, strategic technology integration, flagship enterprise partnership, flagship product partnership, founding academic partnership, core academic partnership and compliance / trust signal.
- Amazon Web Services (AWS)flagship infrastructure partnershipBrainpool displays an "AWS Partner" badge in the website footer, signalling active membership of the AWS Partner Network and the ability to deliver cloud-native AI solutions on AWS infrastructure. Used as a third-party credibility signal and to support client cloud deployments.
- Kx Systems (First Derivatives)strategic technology integrationBrainpool team helped Kx Systems data scientists build open-source Machine Learning libraries into one of the most broadly used financial technology platforms in the world, kdb+. As a result, Kx users can call ML models from within their time-series database software, enabling higher levels of automation. Mark Sykes, CTO at First Derivatives (Kx's parent), provided a public testimonial for Brainpool.
- Fujitsuflagship enterprise partnershipMulti-year strategic relationship: Brainpool participated in the initial definition workshop for Fujitsu's AI ecosystem in Europe, and in 2022 Fujitsu commissioned Brainpool to build its AIaaS platform. The first capability was a Sentiment Analysis "AI Test Drive" tool allowing brands to measure sentiment towards their offering.
- Staircraftflagship product partnershipCo-developed product partnership: started with a scoping exercise and then commissioned the Daisy AI application for designing timber floors. Staircraft is used as a flagship Brainpool product-partnership case study, with the resulting automated design platform now licensed globally to other construction firms.
- University College London (UCL) — UK Financial Computing Centrefounding academic partnershipBrainpool founders Kasia Borowska (CPO) and Dr. Peter Bebbington (CEO) met at UCL, and Prof. Philip Treleaven (Director of UCL's UK Financial Computing Centre) sits on the Brainpool board. The Brainpool Network draws experts from UCL and other leading AI hubs (Oxford, Cambridge, MIT, Stanford), and is used as a primary talent and research channel.
- University of Oxfordcore academic partnershipListed as one of the "leading AI hubs" the Brainpool Network of 500+ experts comes from. Used both as a talent pipeline and as a credibility signal on the homepage ("Artificial Intelligence Built by Humans" section).
- University of Cambridgecore academic partnershipListed as one of the "leading AI hubs" the Brainpool Network draws from (alongside UCL, Oxford, MIT, Stanford). Used as a talent pipeline.
- Massachusetts Institute of Technology (MIT)core academic partnershipListed as one of the "leading AI hubs" the Brainpool Network draws from. Also referenced as the source of the "95% of AI projects fail" research (The GenAI Divide: State of AI in Business 2025, MIT) that anchors Brainpool's marketing.
- Stanford Universitycore academic partnershipListed as one of the "leading AI hubs" the Brainpool Network draws from (alongside UCL, Oxford, Cambridge, MIT). Used as a talent pipeline.
- Cyber Essentials (UK Government scheme)compliance / trust signalBrainpool holds the UK government-backed Cyber Essentials certification (badge displayed in the site footer, with a PDF certificate linked). Functions as a baseline cybersecurity compliance signal rather than a commercial partnership.
Scale indicators14 records
Recent moves6 records
Expansion highlights6 records
Brainpool AI competitors and assessment
Company assessmentBroad incumbents
- Cambridge Consultants: Established UK deep-tech and AI consultancy with a broader portfolio spanning product engineering, AI/ML, and wireless/semiconductor; competes for similar enterprise AI mandates but with a much wider service catalogue and larger headcount.
- Tiger Analytics: Global AI and analytics consultancy delivering data science, ML, and GenAI solutions across retail, financial services, manufacturing and healthcare; comparable on services-led enterprise AI delivery, but operates at materially larger scale than Brainpool.
- Fractal Analytics: Global AI analytics services and products company offering applied AI, decision intelligence and GenAI solutions to large enterprises; overlaps with Brainpool on custom AI delivery and verticals like retail/CPG, but at significantly larger scale and with a broader geographic footprint.
- Slalom: Global technology and business consulting firm with strong AI/ML and data engineering practices; competes with Brainpool for mid-market and enterprise AI engagements and brings a much larger partner network and delivery footprint.
Direct peers
- Seldon: UK-based ML/AI company offering a model deployment and MLOps platform plus services; comparable to Brainpool on model-agnostic deployment, MLOps capability, and a similar mid-market enterprise go-to-market.
- Peak AI: UK AI company combining a Decision Intelligence SaaS platform with services-led deployment for retail and consumer brands; overlaps with Brainpool on item-level forecasting (Forstack), vertical retail expertise, and the platform-plus-services commercial model.
- Adarga: UK AI software and services company applying NLP and analytics to enterprise data, with a strong regulated-industry footprint; comparable to Brainpool on bespoke NLP/analytics delivery, data-governance emphasis, and UK-headquartered GTM.
- Datatonic: London-headquartered AI and data consultancy that builds custom ML/GenAI solutions for enterprises on cloud platforms; directly comparable on services (consulting, MLOps, GenAI), GTM (cloud partnerships, enterprise sales) and customer profile.
- Faculty AI: UK-based AI consultancy founded by academic researchers; delivers custom production-grade AI for enterprises with a similar 'applied science' positioning, premium talent credentials, and vertical solutions across finance, retail and the public sector.
- Mind Foundry: Oxford University spin-out offering an AI platform plus applied AI services to enterprises and government, with strong academic credentials and a focus on high-stakes, regulated use cases — a close analogue to Brainpool's model-agnostic platform-plus-services approach.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Brainpool AI social profiles
Digital presenceBrainpool AI compliance and trust
Trust signalCompliance3 records
Brainpool AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Brainpool AI leadership team
Management profileNumber of profiles
Profiles9 records
Brainpool AI subsidiaries and ownership
Company hierarchySubsidiaries4 records
Brainpool AI funding detail
Funding detailFunding overview
Funding rounds3 records
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Brainpool AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Brainpool AI
What does Brainpool AI do?
Brainpool AI is an AI consultancy that builds production-grade, custom AI solutions for businesses, leveraging a proprietary in-house platform called Brainpool Cortex and a global network of 500+ PhD-level AI/ML experts. Its core offerings span AI strategy and scoping, PoC factory engagements, full custom AI implementation (including Custom GPT/LLM, agentic AI, computer vision, and predictive analytics), MLOps managed services, and three standalone SaaS products: Daisy (AI timber design), Forstack (item-level demand forecasting), and Tunedd (AI technical due diligence).
Is Brainpool AI a public or private company?
Brainpool AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Brainpool AI founded?
Brainpool AI was founded in 2016. It employs 11 to 50 people.
Where is Brainpool AI based?
Brainpool AI is headquartered in London, United Kingdom, in the Europe region.
How does Brainpool AI make money?
Seven revenue lines are on record. AI Strategy & Scoping Programmes are the primary driver. The others are proof of Concept (PoC) Factory, full Project Implementation (Build & Deploy), ongoing Managed Services / Monitoring & Maintenance, product Licensing (Daisy, Forstack, Tunedd), product Partnerships / Co-developed IP and ad-hoc AI Support & Custom LLM Consulting.
Who are Brainpool AI's main competitors?
Broad incumbents on record are Cambridge Consultants, Tiger Analytics, Fractal Analytics and Slalom. Direct peers are Seldon, Peak AI, Adarga, Datatonic, Faculty AI and Mind Foundry.
Does Brainpool AI have an API?
Yes. Brainpool's approach is to deploy models as an API to ensure easy access, speed and scalability. The Brainpool Cortex platform exposes AI capabilities via APIs to integrate with client systems, including LIMS, CRM, and ERP through APIs. The architecture is model-agnostic and microservices-based, with brainpool-developed microservices that can be deployed to any cloud or on-prem infrastructure and integrate with client-side software and systems. No public developer portal or SDK documentation is published.
What industry is Brainpool AI in?
Brainpool AI's product category is AI Consulting & Custom AI Development. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 54151 and its SIC code is 7373.