Top Machine Learning Startups in United Kingdom

LogicMonitor®’s SaaS-based observability and IT operations data collaboration platform helps ITOps, developers, MSPs and business leaders gain visibility into and predictability across the technologies that modern organizations depend on to deliver extraordinary employee and customer experiences. LogicMonitor seamlessly monitors everything from networks to applications to the cloud, empowering companies to focus less on troubleshooting and more on innovation. For more information, visit logicmonitor.com. Great Place to Work Certified, 2022 Best Places to Work, Built in Austin 2022 Company with the Best Benefits, Built in Austin 2022

Hey, we’re Deepgram! We’re an AI speech platform whose mission is to make every voice heard and understood. Our end-to-end deep neural network is revolutionizing the speech-to-text market and taking on the big guys. We’re redefining what companies can do with voice by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. Deepgram delivers highly accurate, actually usable transcription, right out of the box – or you can train a model for even greater accuracy on the unique words that matter to you. ✅ Live-stream or pre-recorded ✅ On-prem or in the cloud ✅ Scalable and affordable ✅ Dozens of languages and use case models ✅ Features like diarization, summarization, language/topic detection, and more. We’ve raised over $86 million and have been recognized as an Inc. Best Workplace (2021 and 2022), a Forbes Top 50 AI Company to Watch (2021), and a CB Insights Top 100 AI Startup (2021), among others. Come join our revolution to unlock the power of voice technology for everyone. We want to hear what you’ve got to say! An NVIDIA partner and Y Combinator company

C3.ai is a leading enterprise AI software provider for accelerating digital transformation. The proven C3 AI Suite provides the comprehensive services to build enterprise scale AI applications 40x to 100x faster than alternative approaches. The core of the C3 AI Suite is a revolutionary, extensible, model-driven abstraction layer that dramatically enhances data scientist and application developer productivity. The C3 AI Suite supports any value chain in any industry with pre-built, configurable, high-value AI applications for predictive maintenance, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. c3.ai

Better data leads to more performant models. Performant models lead to faster deployment. We help deliver value from AI investments faster with better data by providing an end-to-end solution to manage the entire ML lifecycle.

**Metaview** AI co-pilots will fundamentally rewire how work gets done. More flow-state, less toil. More insight, less guesswork. Human-centric, not process-centric. Metaview is building the AI co-pilot for hiring. At the moment, hiring is tedious, inefficient, and unreliable. But not for long. Metaview will handle the busywork, accelerate the workflows, and act as the thought partner for hiring the right candidate, quickly. We’ll make hiring feel like the high-leverage activity it is. Metaview is a startup founded by Siadhal and Shahriar after their experiences building products and teams at Uber and Palantir, and is backed by phenomenal investors in the US and Europe. Our starting point on this mission is an AI-powered note taker that gives interviewers superpowers: beautifully structured and summarized interview notes, pre-filled candidate feedback forms, and rich candidate write-ups generated in just a few clicks (if that). We’re already seeing that Metaview is becoming the center-of-gravity for the hiring process at customers like Brex, Robinhood, Genentech, and hundreds more. **The team** * We own our work from end-to-end. We work “towards goals”, not “on tasks”. We’re a team that knows the satisfaction of doing great work is only felt when it impacts the customer. * We optimize for rate-of-learning. We treat learning as the highest-form of currency for delivering future impact, and act accordingly: we run experiments, question thoroughly, and talk to customers over-and-over. We covet earned secrets. * We’re direct and actively-transparent in how we communicate and share progress. There’s no point painstakingly hiring a world-class team, if they are then uninformed or unaware of the context that matters. We’re a hybrid team with a HQ in London, UK.

Monte Carlo is leading one of the most promising emerging categories in SaaS, Data Reliability. Monte Carlo helps data teams manage data reliability in the same way that New Relic helps engineering teams manage application reliability. As companies invest millions to become data-driven, Monte Carlo helps solve one of the biggest challenges data/analytics/ML teams face today: making sure data can be trusted at all times by minimizing data downtime. Founded in 2019 by Barr Moses and Lior Gavish, Monte Carlo is backed by Accel, GGV, the former Chief Technologist of Cloudera, and former Chief Data Scientist of the United States.

ComplyAdvantage is helping firms rethink how they combat financial crime and comply with regulations (specifically around Sanctions, AML and CTF). The team is on a personal mission to combat the rising threat of terrorism and fight the negative impact on society of money laundering. ComplyAdvantage's proprietary, dynamic global database of individuals, organisations and all their connections, provides fresh insight into financial crime risks (e.g. Sanctions, Watchlists, Politically Exposed Persons, Adverse Media). ComplyAdvantage's screening platform helps to safely automate the risk assessment of customers and transactions, and their real-time analytics enable firms to monitor customer activity and spot suspicious behaviours. ComplyAdvantage uses machine learning and big data coupled with a tailored risk-based approach to help a wide range of insurance companies and financial institutions improve automation, reduce manual work (‘false positives’) and make decisions faster.

We're a team of machine learning and product engineers training task-specific generative models for psychology. Our mission is to use AI to make mental healthcare more accessible and to help people change their lives in the ways they want. We partner with organizations around the globe and power use cases, including AI-assisted crisis text response and AI counseling, while securing best-in-class datasets to power our models. Success to us means every human being in need of support having somewhere to go. We're a well-funded, seed-stage startup backed by top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and others. We're building a powerful team by empowering our engineers with the autonomy, flexibility, and resources to do their best work. We dream big and iterate fast. If that sounds like home, we'd love to hear from you. The Team Daniel started coding at age 8 and started training models in high school. At 16, he dropped out of high school and moved to London to pursue his study and research. He graduated university top of his class at 19 and was awarded ‘distinguished’ by Imperial for his post-grad research in AI for mental health. As an ML Engineer, he led Instabase’s pivot into GenAI. He raised $6M pre-team at age 22 to develop the tools for training task-specific generative models that now power our machine learning research. Neil dropped out of medical school to co-found Casper, the sleep company, which he helped grow to $500M+ in revenue and IPO’d in 2020. Improving wellbeing through sleep led him to mental health, where he joined the board of [PsychHub](psychhub.com). He’s invested in 200+ companies like Ro, Affirm, Relativity, Archer, Figure, and Together.AI. Our team has expertise in model training, product engineering, and psychology. Our engineers includes team leaders who have joined us as individual contributors, two former CTOs, and collective experience from across Big Tech.

Phrasee uses artificial intelligence to write better email subject lines, body copy and calls-to-action than humans. Since launch in Feb 2015, Phrasee-generated language beats humans >95% of the time. Awesome.

We built a nationwide legal services platform that helps law firms and pro se parties gain access to more efficient, transparent, and accessible legal services that are not traditionally available. Our main services are Service of Process and E-Filing .We currently serve over 2,000 law firms throughout the US, as well as countless pro se parties.