Malted AI

Malted AI is a textbook example of vertical AI done right: purpose-built small language models for financial services, trained on domain-specific data and designed to run inside a bank's own cloud. The platform Pulse analyses 100% of customer interactions across calls, chats, and emails, surfacing regulatory and operational insights that generic models miss. Pick this when you're a regulated UK financial institution drowning in legacy data and facing Consumer Duty deadlines. The testimonials from Skipton Building Society and Scottish Building Society are genuine and specific — they cite tangible cost savings, seamless onboarding, and previously invisible opportunities. The fact that models are 100x more efficient than general-purpose LLMs and deployable entirely within your environment is a strong security sell. Pass if you're outside financial services, have no in-house data science team, or need a self-serve no-code dashboard. Malted is consultative and custom — expect hand-holding, not a free trial. Also skip if you need real-time conversational AI or generative capabilities; this is an analytics and oversight platform, not a chatbot. Compared to generic AI alternatives like AWS Bedrock or Azure OpenAI, Malted sacrifices breadth for depth. Its SLMs are cheaper to run and more accurate for compliance tasks, but they only solve financial services problems. If your scope is wider, you'll need a multipurpose AI tool. The biggest caveat: no published pricing. The 'contact us' model means you're committing to a sales cycle before you know the cost. For large institutions with budget, the ROI seems clear from case studies. For smaller firms, the lack of transparency could be a barrier.