Malted AI

DeepSeek’s claim of building a model rivaling OpenAI’s with $6 million sparked debate. This article focuses on distillation, its role in DeepSeek’s R1 model, and Malted AI’s distinct approach.

Malted collaborated with the UK Financial Conduct Authority to develop a small language model for multilabel classification, achieving 100% high-risk detection and higher accuracy than general LLMs with faster processing and lower costs.

As large and small language models become embedded across business functions machine intelligence is becoming abundant yet human judgement becomes the scarcest, and the most valuable resource in the room

Enterprise leaders face significant pressure to demonstrate a return on investment from artificial intelligence. Yet, up to 87% of AI initiatives fail to transition from proof-of-concept to successful production implementations

Malted announced Dr. Sandy Nairn, founder of Edinburgh Partners and author of *Engines That Move Markets*, as Chairman.

Notes from London Tech Week 2026 – on why the most interesting AI companies have stopped trying to do everything.

75% of UK banks already use AI, yet fewer than half have fully deployed it. Malted's Sunday Times 100 Tech recognition signals a new phase — here's what C-suite leaders need to know.

The hard part is rarely the code. Lead AI deployments for financial services clients, from messy data to measurable value. Edinburgh, £75k–£120k.

Malted builds purpose-designed intelligence for financial services, uncovering hidden signals in complex data to help institutions connect with customers and deliver better outcomes.

Malted develops specialized AI to convert financial data into actionable insights for future financial services.

Malted outlines its privacy policy for personal data collected during job applications.