Malted AI

Malted AI

Software Development

Distilling Small Language Models for enterprises

About us

Distilling Small Language Models for Enterprise. We distil enterprise-specific Small Language Models (SLMs) to achieve pinpoint accuracy with 10 – 100x cost savings. Malted AI combines enterprises’ domain expertise with our world-class knowledge distillation technology to solve the highest-value problems. Existing Large Language Models (LLMs) are overly general and lack specificity. Opposed to general AI that does thousands of tasks moderately well, Malted AI’s SLMs do one task near perfect.

Website
https://malted.ai
Industry
Software Development
Company size
11-50 employees
Headquarters
Edinburgh
Type
Privately Held
Founded
2023

Locations

Employees at Malted AI

Updates

  • Malted AI reposted this

    View profile for Jennifer Sillars, graphic

    Tech marketing leader with a geeky obsession for product marketing, GTM and brand marketing

    Scotland needs more business leaders with this mindset: "There are really amazing researchers, but right now there aren't many interesting VC-backed startups, so we’re trying to give people really exciting jobs, working on the cutting edge without having to leave for London or Silicon Valley." - Iain Mackie, CEO of Malted AI I have been trawling Sifted for info about the Scottish tech scene and came across the article "Scottish AI startup cofounded by Meta graduate raises £6m to build GenAI apps for business" by Tim Smith And that quote from Iain really resonated with me. I feel lucky that my career in tech has been able to grow in Glasgow. That short time that Arm set up shop in Glasgow was a pivotal point in my career. We need more companies like Malted AI to succeed so we can have more cool jobs in Scotland. Here's what I learnt about the company today. #AI #productmarketing #scottishtech

  • What a year for Malted AI! 2024 has been an incredible journey for us:  📈 Grew to a talented team of 20+  🖥️ Supported AI projects for top global companies 🧠  Expanded our R&D capacity, diving deeper into Generative AI for enterprise, leading to exciting enhancements to our platform. None of this would’ve been possible without our amazing team. To celebrate, we wrapped up the year with Christmas lights, darts, great food and even better company. Here’s to 2025—we’re ready for what’s next!

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  • Malted AI reposted this

    We are excited to partner with Wordsmith AI to co-host the EDI Generative Language Model Meetup. Join us for an evening of lightning talks, pizza, and drinks. Hear from some of the top companies pushing the boundaries of generative language models and connect with fellow engineers working on deploying these models in production.    📆 16 January 📍 Lost in Leith Registrations 👉 https://lnkd.in/eATkDzwu We are looking forward to seeing you!

  • We are excited to partner with Wordsmith AI to co-host the EDI Generative Language Model Meetup. Join us for an evening of lightning talks, pizza, and drinks. Hear from some of the top companies pushing the boundaries of generative language models and connect with fellow engineers working on deploying these models in production.    📆 16 January 📍 Lost in Leith Registrations 👉 https://lnkd.in/eATkDzwu We are looking forward to seeing you!

  • Last week, we had a fantastic time at the Hoxton Ventures AGM—a great event filled with thought-provoking discussions about the future of AI and technology. Highlights from the event included: A panel discussion featuring our CEO, Iain Mackie, alongside Ben Peters, CEO of Cogna, and Liviu Dragan, CEO of Druid AI. They shared perspectives on driving enterprise ROI with AI and successfully transitioning from pilot projects to production. A fireside chat with Malted AI board members Bryan Gartner and Sandy Nairn, author of "Engines That Move Markets." Together, they explored the future of competitive moats in the AI industry. Hussein Kanji, founding partner at Hoxton Ventures, delivered an insightful market overview, covering the journey from seed startups to IPOs and the evolving dynamics in the AI landscape. A big thank you to Hoxton Ventures for the invite!

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  • Our Head of Design, Kris Fields, participated in the final Transform Meetup of 2024, sharing insights on the critical role of design in successfully implementing GenAI and sharing insights into enterprise use cases. The discussion delved into essential topics such as the guardrails required for AI, strategies to mitigate system hallucinations, and the importance of customising AI for complex, multistep tasks. A big thank-you to Rich Wilson for the invitation

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  • We had a great time at last night's MLOps meet-up, exploring the challenges and opportunities of deploying AI in production. Our co-founder and CTO, Carlos Gemmell, shared valuable insights from his experience during the Amazon Alexa Challenge, offering a behind-the-scenes look at deploying AI technology in domain-specific use cases and the lessons learned along the way. A big thank you to Mike Moran and Stefano Bosisio for the invitation!

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  • Malted AI reposted this

    View profile for Iain Mackie, graphic

    Co-Founder & CEO of Malted AI

    For enterprises struggling with the overly general and data security issues of large language models (LLMs) - it’s worth reading our new blog comparing LLMs to small language models (SLMs) - which can be use-case specific 🎯 and locally deployed 🔒 Read below👇

    View organization page for Malted AI, graphic

    1,929 followers

    In recent years, large language models (LLMs) have become the default for many AI solutions. But in the realm of enterprise applications in production, small language models (SLMs) can be a powerful choice — often more efficient, cost-effective, and secure. Our latest blog explores the strengths of SLMs and LLMs and introduces our approach to creating pipelines of SLMs optimised for domain-specific use cases. Let’s look beyond the hype and explore solutions that are right-sized for the job!

    Large language models are not always the answer: the rise of small language models

    Large language models are not always the answer: the rise of small language models

    https://malted.ai

  • In recent years, large language models (LLMs) have become the default for many AI solutions. But in the realm of enterprise applications in production, small language models (SLMs) can be a powerful choice — often more efficient, cost-effective, and secure. Our latest blog explores the strengths of SLMs and LLMs and introduces our approach to creating pipelines of SLMs optimised for domain-specific use cases. Let’s look beyond the hype and explore solutions that are right-sized for the job!

    Large language models are not always the answer: the rise of small language models

    Large language models are not always the answer: the rise of small language models

    https://malted.ai

  • Curious about how AI is reshaping the enterprise world? Join a highly talented team pushing the boundaries of what is possible with AI. We’re thrilled to be expanding and are looking for passionate individuals who would like to develop outstanding products with cutting-edge AI innovation. Check out our open positions to see how you can be part of our exciting journey: 📝 Data Annotator - play a crucial role in improving the accuracy and efficiency of our algorithms 💻 Software Engineer - drive the development of our platform 🎨 Designer - create incredible product experiences and influence our brand 🧪 ML Researcher - support the research and development of new AI techniques Find more details about each role on our careers page https://malted.ai/careers/ Please note: we aren’t working with recruiters for these positions — we’re excited to connect directly with candidates who share our enthusiasm for small language models and knowledge distillation.

    Careers

    Careers

    https://malted.ai

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Funding

Malted AI 2 total rounds

Last Round

Seed

US$ 7.6M

See more info on crunchbase