About Chelsea AI Ventures
Most AI projects fail between prototype and production. We deliver working AI systems in weeks rather than months while building your team's capabilities to maintain and extend solutions independently.
Innovation Hub & Expertise
Chelsea AI Ventures brings together seasoned AI practitioners with diverse production experience. Our team has delivered successful AI implementations across industries, combining deep technical expertise with practical business solutions to help companies overcome the critical barriers preventing AI adoption: skills gaps, integration complexity, and security concerns. Our approach transforms these challenges into competitive advantages through our integrated methodology:
AI Consultancy
Expert guidance for SMEs implementing and scaling LLM technologies with measurable ROI.
AI Education
Comprehensive training programs and mentorship to build AI capabilities within organizations.
Startup Hub
Launching innovative data and AI products to solve specific business challenges.
Our solutions address the unique challenges of organizations that have experimented with AI tools but need expert guidance to implement secure, custom systems that integrate with existing infrastructure like AWS, GCP, or Azure environments.
Based in London, our expert team combines deep technical expertise with practical business strategy to empower SMEs on their AI journey. Our approach to production AI deployment—documented in industry-leading publications—focuses on bridging the prototype-to-production gap that challenges most organizations. We deliver real-world, actionable solutions that turn theoretical potential into measurable outcomes.
Our Leadership Team
Ben Auffarth
Founder & Chief Data Officer
Enterprise AI Leadership & Implementation
With 15+ years of individual experience in AI, Ben has architected and deployed mission-critical systems including fraud detection platforms with £60M impact, real-time decision engines processing 100k+ transactions daily, and ML-driven marketing optimization delivering 15% ROI improvements. His expertise is showcased in three bestselling books with over $120,000 in sales, including the #4 ranked AI book on Amazon. His research background spans 300+ citations in computational neuroscience and machine learning, while his industry impact includes preventing £60M+ in fraud losses and processing systems handling 100,000+ daily transactions at sub-300ms latency.
Beyond implementation, our team excels at building and scaling data science capabilities within organizations. We've established technical standards, mentoring programs, and delivery processes that enable teams to sustainably develop AI solutions aligned with business goals.
Connect:
Minghan Bao
Head of Sales
Technical Sales & Business Development
With a Ph.D. in Chemical and Process Engineering and expertise in artificial intelligence, Minghan brings a unique technical perspective to our client partnerships. His background in industrial AI applications enables him to quickly understand client challenges and connect them with the right solutions.
Prior to joining Chelsea AI Ventures, Minghan gained valuable experience at Industrial Tomography Systems and led an EPSRC-funded research project focused on commercializing advanced measurement technology. His blend of technical knowledge and business acumen helps our clients identify high-value AI opportunities that deliver measurable returns.
Connect:
Justin Ju
Junior AI Associate
Project Research, Data Visualisation
Justin Ju is a Mathematics student at Imperial College London who combines strong analytical capabilities with practical business acumen at Chelsea AI Ventures. With expertise in mathematical modeling, supervised machine learning, and data visualization using Python and R, Justin helps translate complex technical concepts into business value for our SME clients. His leadership experience from managing successful sales events in the Young Enterprise program, coupled with fluency in English, Cantonese, and Mandarin, enables him to effectively communicate solutions across diverse markets—particularly valuable for clients looking to implement AI solutions with clear ROI in international contexts.
Connect:
Saman Shah Hosseini
AI Engineering Intern
MLOps, Time Series, Teaching
Saman Shah Hosseini is an AI Engineering Intern at Chelsea AI Ventures, where he develops agentic and generative AI solutions that transition smoothly from prototype to production. As a Machine Learning Engineer at ATLAS R&D Group, he delivered an automated ophthalmic test classifier that digitises thousands of clinic results each month eliminating paper waste and accelerating patient care. Holding a BEng in Computer Engineering and pursuing an MSc in Artificial Intelligence, Saman explores LLM tooling and AI for finance, driven by a belief that well-crafted AI agents can unlock smarter, greener workflows at scale.
Connect:
Our Product Ecosystem
At Chelsea AI Ventures, we're not just consultants—we're builders. Through our startup hub, we've developed innovative products that address specific needs we've observed across industries. Each product leverages our deep expertise in artificial intelligence, data science, and user experience design.
VeritaMetrics
Advanced analytics platform that transforms your data into actionable insights.
- Web analytics with privacy focus
- User tracking and behavior analysis
- Custom dashboards and visualizations
- Integration with major platforms
KirokuForms
Create web forms easily, collect submissions, and export data. A complete solution for your form needs.
- Drag-and-drop form builder
- Secure data collection
- Custom branding options
- Advanced analytics integration
Open-Source Contributions & Thought Leadership
Our team is actively involved in the AI and data science community, contributing to open-source projects, speaking at industry conferences, and authoring technical guides that document enterprise AI deployment patterns. We believe that participating in the broader ecosystem helps us stay at the cutting edge while sharing the hard-won insights from production implementations.
Technical Works & Open Source Repositories
Data Science Speakers London
Our founder established Data Science Speakers London, a thriving community that has grown to 45+ professionals. Through this platform, we organize regular technical workshops and knowledge sharing sessions focused on practical AI implementation challenges, open-source technologies, and emerging trends in the field.
These events provide a valuable forum for data practitioners to exchange ideas, collaborate on solutions, and build professional networks. Recent topics have included deploying open-source LLMs, efficient RAG implementations, and evaluating model performance in production environments.
Recent Speaking Engagements
Moving Beyond Statistical Parrots: LLMs and Their Tooling
ODSC 2024, Data Science Week Amsterdam
Focus: Open-source LLMs and enterprise implementation
Time-Series in Python – Preprocessing and ML
ODSC 2022
Focus: Machine learning techniques for time-series data
Strategic AI Implementation
Data & Analytics Summit EU 2022
Focus: Enterprise AI strategy and implementation roadmaps
Future of Data Science and LLMs
PyData London 2023
Focus: Panel discussion on open-source AI technologies
Open-Source Contributions
Our team actively contributes to the open-source AI ecosystem through:
- Creating and maintaining ML tooling libraries
- Contributing to projects like brat (text annotation tool) and dython (data analysis utilities)
- Sharing implementation examples for open-source LLMs like Meta's Llama
- Publishing code samples and tutorials through our GitHub repositories
- Participating in community discussions on model development and best practices
Our Approach
We address real client concerns with structured validation. Each step reduces risk and builds stakeholder confidence.
Understand Your Business
We begin by deeply understanding your business objectives, challenges, and opportunities, ensuring our AI solutions align with your strategic goals.
Identify High-Value Opportunities
We help you prioritize AI initiatives based on business impact, technical feasibility, and resource requirements to maximize your return on investment.
Develop Practical Solutions
We create AI solutions that balance technical sophistication with practical implementation considerations, ensuring they can be effectively deployed and maintained.
Build Internal Capabilities
We work closely with your team to transfer knowledge and develop the skills needed to sustain and scale your AI initiatives over time.
Clear Decision Point:
Our primary deliverable is a definitive answer. If the technical approach won't work, we'll recommend alternatives at no additional cost.
Measure Real-World Impact
We establish clear metrics to track the business impact of AI initiatives, ensuring accountability and continuous improvement.
Why This Approach Reduces Risk
Typical validation cost vs £150K+ blind implementation
Fast validation timeline reduces approval barriers
Multiple decision points limit your risk exposure
Product Ecosystem Synergies
We've designed our products to work seamlessly together, creating powerful end-to-end solutions for businesses. Here's how our ecosystem creates value greater than the sum of its parts:
KirokuForms
Create and deploy forms to collect data
Data Collection
Securely gather structured data
VeritaMetrics
Analyze collected data for insights
Business Decisions
Make data-driven decisions
Real-World Applications:
- Customer Feedback Analysis: Collect feedback through KirokuForms and analyze sentiment patterns with VeritaMetrics
- Product Usage Tracking: Track how users interact with your digital products using VeritaMetrics to inform design decisions
- Market Research: Create surveys with KirokuForms and visualize market trends with VeritaMetrics dashboards
Our Values
Technical Excellence
We maintain the highest standards of technical rigor in everything we do, staying at the forefront of AI advancements while focusing on practical applications.
Business Impact
We measure success through the tangible business value our solutions deliver, not just technical metrics or implementation milestones.
Ethical AI
We are committed to responsible AI development, considering ethical implications and promoting fairness, transparency, and explainability in all our work.
Knowledge Transfer
We believe in building client capabilities, sharing our expertise and empowering your team to succeed with AI long after our engagement ends.
Ready to explore our ecosystem?
Let's discuss how our team and products can help your organization succeed.