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
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 Team
Ben Auffarth
Director & Chief Data Officer
Enterprise AI, Machine Learning & Data Systems
Ben is an experienced AI and data leader specializing in the design and deployment of production-grade machine learning systems.
With 15+ years of industry experience, he has architected and delivered mission-critical platforms, including fraud detection systems with £60M impact, real-time decision engines processing 100k+ transactions daily, and ML-driven marketing optimization delivering 15% ROI improvements.
His work focuses on building robust, scalable systems across the full stack—from data infrastructure and pipelines to modeling and deployment. He combines classical machine learning with modern AI approaches, including generative models and advanced retrieval systems, always with a focus on measurable business outcomes.
In addition to his industry work, Ben is the author of several widely read books on machine learning and applied AI. His research in computational neuroscience and machine learning has received 500+ citations.
He holds a PhD in Computer Science from KTH Royal Institute of Technology in Stockholm, where his research explored how biological neural systems process complex information—foundations that continue to inform his approach to modern machine learning systems.
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.
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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.
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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.
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Our Product Ecosystem
VeritaMetrics
- Privacy-focused tracking
- Behavior analysis
- Custom dashboards
- Platform integrations (in development)
KirokuForms
- Drag-and-drop builder
- Human-in-the-loop options
- Full API capability (REST, MCP)
- Secure data collection
- Custom branding options
You x you i
- Market fit testing phase
- Early adopter program
- User feedback integration
- Rapid iteration cycles
Akilima
- Predictive Pricing Optimizer
- Shopify Data & SEO Plugin
- AI-Powered UX Research
- Aegis AI Compliance Monitor
- Optimus Logistics Engine
- Veritas Logic Auditor
Speaking & Conferences
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
Our Values
Technical Excellence
Business Impact
Ethical AI
Knowledge Transfer
Ready to explore our ecosystem?
Let's discuss how our team and products can help your organization succeed.