Top Tech Startups in Greater London, United Kingdom in 2024

Data Theorem is a leading provider in modern application security. Its core mission is to analyze and secure any modern application anytime, anywhere.

Tonsser is a popular football app and social network that empowers football players to showcase their football talent, unlock their potential and feel like professionals - regardless of level. A combination of validated and crowdsourced data allows Tonsser to create rankings, Team of the Week, scouting shortlists and much more to give players extra reason to perform on the pitch. Players can scout opponents before an important match, keep track of their own career and build their digital identity based on what happens on the pitch. Tonsser was launched in Denmark in March 2015 and hit 100,000 users 14 months later. The app is available for Android and iPhone in Italy, France, Spain, Norway, Denmark and Sweden.

The lettings industry is notorious for its lack of trustworthiness and transparency - we are fighting to change this. At Home Made we are on a mission to develop the trusted rental ecosystem that works for both landlords and renters. We believe that renting and letting a home should be easy, fair and cost-effective. We developed brilliant technology and brought together a hardworking and talented team. Together, we are making the process of renting a property better for thousands of people, and this is just the beginning. We have just raised $5M in our Seed rounds and are now looking to triple in size before our next round of VC funding. We are proud to be listed as one of the UK’s Top-100 startups in 2020 (by Startups.co.uk and Seedtable), and we are the grateful recipients and nominees of various awards including the Amazon Growing Business awards, the RESI awards and The Europas. Do you think you have what it takes to be part of Home Made? We'd love to hear from you.

JustWatch is an international movie marketing startup that helps the film industry to reach the relevant audience for their content. By collecting anonymized data on movie taste and buying behavior through our consumer products, we build user profiles that provide a deep understanding of user’s movie preferences. Based on these user profiles we run relevant and highly efficient (mobile) video campaigns for the movie industry. On the user side we help users to find out where to watch movies legally. What’s new on Netflix, Hulu or iTunes? Where to watch the movie you’ve been talking about? On JustWatch you can find all that in one app. To make the experience even more worthwhile, you can customize your individual settings and use easy and intuitive filters for providers (such as iTunes, Netflix, Amazon Prime and many more), many different genres or release year.

We are implementing transport-focused smart cities, using cameras with on-board machine learning in order to quantify movement of pedestrians, vehicles and cyclists, and then building advanced predictive AI systems around this data. Our main customers are local governments, infrastructure owners and transport providers. Real-time data from a network of video feeds enable them to react to demand, improve safety and improve the utilisation of their assets; and prediction gives them the foresight to pre-empt problems in their network, rather than simply reacting. Our systems use the latest machine learning and computer vision techniques, run on bespoke, low-cost, easy-to-install hardware. All the edge intelligence is in the software, enabling remote updating and reducing hardware obsolescence and cost.

Humaans is the fastest way to onboard and manage your staff. It turns complex processes like employee onboarding, offboarding, and compensation management into simple workflows by integrating with other point solutions, such as Gsuite, Slack, Docusign, and Greenhouse. We're building a new kind of employee management system designed to help People Ops, Finance, and IT teams operate collaboratively by using the best in class point solutions they want for their staff while maintaining a central record of employee data. How do we get there? By focusing relentlessly around customers’ needs and their experience, and prioritising design, quality and performance.

Here's the thing, as companies grow they need to track and maintain many physical assets. Trying to do so with excel spreadsheets quickly becomes a nightmare, not to mention they risk loosing lots of money too! BulbThings is an easy and highly flexible SaaS product that helps customers with 3 main things: 1- Consolidate all data about their assets in one place and keep a history of everything (e.g. location, events, costs) 2- Automate many tasks (e.g. allocation/booking of assets, tracking maintenances and jobs, renewals at end of life etc) and work more efficiently 3- Get action-oriented smart alerts and real-time analytics from many sources of data (IoT sensors, customer input, suppliers data, external APIs etc.). We use machine learning and automated workflows to make more accurate recommendations and take automated actions for our customers.

Agoda is one of the world’s largest online hotel and accommodation booking platforms. Founded in 2005 and now part of Booking Holdings, we offer travelers a fast, easy way to book hundreds of thousands of properties in almost every country on earth. In every department – from engineering to customer experience – we provide an environment rich with creativity, collaboration, and experimentation, and the tools to work faster and smarter than almost anyone out there. From our beginnings as an e-commerce start-up based in Singapore in 2005, we have grown to offer a global network of 2 million properties in more than 200 countries and territories worldwide.

Developer inefficiency costs $300 billion in global GDP each year. The number 1 cause for inefficiency? Technical debt. Engineers say they could be 50% more productive. So why do companies let technical debt get out of control? There's a vicious cycle at play. Engineers hate tools like Jira — they weren't designed for them. They're in the browser, and engineers spend all their time in their code editors. And you can't even attach code to issues, but that's what technical debt is all about! So technical debt doesn't get tracked, or if it does it languishes in backlogs. Without visibility on technical debt, engineers can't manage it. Tech debt piles up, productivity drops, and bugs creep into more and more releases. Enter Stepsize, the engineer's frontend to issue trackers. We let engineers interact with tools like Jira directly from their code editors. And being in the code editor, it's super easy to link code to issues, without even uploading the code itself. That gives teams the visibility they need to break the vicious cycle. Every engineer knows about the issues affecting their codebase thanks to inline annotations. And during planning, it takes a couple of clicks to dig up all the issues that could impact a feature's delivery. No more surprises. Teams can make deliberate decisions about which debt to pay back, and when. Our customers include scale-ups like Snyk and enterprises like Sainsbury's. They address 50% of the issues they track and say they've been gifted time to work on features. ----------------------------------------------------------------------------- This is the first step of our multi-decade mission. Learn more by checking out one of our job descriptions.