AI innovation to meet the unique challenges of the financial services sector
AI innovation to meet the unique challenges of the financial services sector
With a strong focus on collaboration and early-stage innovation, Aveni Labs partners with leading organisations like Nationwide and Lloyds Banking Group to develop pioneering AI solutions that are transforming the economics of the industry.
Aveni Labs specialises in developing finance-specific large language models (LLMs) and AI solutions. Our models deliver enhanced accuracy and regulatory alignment compared to generic AI tools, enabling streamlined deployment for UK financial institutions.
Aveni Labs drives rapid experimentation, prototyping and co-development of new AI capabilities directly with our industry partners. We help financial institutions quickly test, validate and integrate emerging agentic workflows and assurance methods so they can stay ahead of market shifts and adopt innovation safely and confidently.
We partner with leading financial institutions like Nationwide and Lloyds Banking Group to deliver AI solutions that meet the highest standards of security, performance and regulatory alignment. Our expertise enables organisations to take advantage of emerging technology to implement robust AI tools whilst maintaining operational excellence.
Aveni Labs is committed to creating industry-aligned language models (LMs) that specifically address the needs of the financial services industry. Our flagship project, FinLLM, aims to revolutionise financial applications through advanced natural language processing (NLP) capabilities. By focusing on industry regulations, ethical considerations, and user preferences, FinLLM will power financial services solutions that are accurate, transparent, and compliant, setting a new gold standard for AI in the sector.
FinLLM brings full visibility to AI decision-making. Unlike other LLMs, we provide complete clarity to our training data, hierarchy, and lineage. This transparency ensures model outputs can be traced and verified, meeting and exceeding FCA and AI regulatory standards.
Accuracy is crucial for financial decisions. FinLLM specifically addresses hallucinations – incorrect but plausible outputs – through targeted reinforcement learning and high quality financial domain data. This significantly improves the reliability of the outputs used in financial decision-making.
Generic LLMs trained on a broad spectrum of internet data often carry inherent biases, such as gender bias, that can skew results. In contrast, FinLLM is developed with a focus on ethical guidelines and human feedback, ensuring that biases are minimised and outputs are fair and inclusive.
Generic LLMs aren’t built for specific industry needs. FinLLM is trained specifically on UK financial services data and aligned to regulatory requirements, enabling it to address industry-specific challenges while maintaining compliance standards.
Join our Chief Scientist Lexi Birch and Technical Lead Yiannis Papaioannou as they introduce the brilliant minds behind Aveni Labs.
NLP Engineer
