Top Tech Startups in Europe in 2024

Elevate AI analyzes & interprets facial expressions, tone of voice, body language and conversations in real-time and provides actionable insights. Our innovative product include Sincerity AI. Elevate AI is ethical: unbiased & private. get-elevate.com Please watch our new video: youtube.com/watch?v=7F2GTGX7JAM

Valory makes AI software that groups of people or organizations can control together. This creates new opportunities in web3, science, and enterprise ventures, and means powerful AI systems can be owned by everyone. We co-created Olas, the platform for co-owning AI, specifically autonomous AI agents, coordinated by the OLAS token. It's made up of the Olas Stack, an open-source framework for building the agents and the Olas Protocol, a blockchain protocol for incentivizing the agents. We believe AGI will be agentic and must be co-owned. We are proving that the majority of crypto users will be AI agents, and they're already here.

The world's leading darknet intelligence company. Working with law enforcement, industry and end users to help protect against the threats of the darknet.

TrickleStar is a leading provider of energy-saving solutions for homes and businesses. With a focus on sustainability and efficiency, TrickleStar offers a range of innovative products designed to reduce energy consumption and lower utility costs. From smart power strips to energy monitors, TrickleStar's solutions empower users to make informed decisions about their energy usage and contribute to a greener future. With our commitment to quality and performance, TrickleStar has established itself as a trusted name in the energy-saving industry. Whether you're a homeowner looking to reduce your carbon footprint or a business owner aiming to optimize energy efficiency, TrickleStar has the solutions you need.

An evolution of online media technology pioneer, Casale Media, Index equips enterprise sellers with custom architected solutions, fully transparent sell-side management technology, and access to programmatic demand that has been organized and certified by humans. We create our solutions with you in mind.

Elevate your Amazon storefront to the next level, surpassing competition and maximizing your return on investment with our proven track record and end-to-end solutions. With the power of our expert strategies and personalized solutions, our Amazon agency takes your business to new heights!

Nominal is a venture-backed company with offices in Los Angeles, Austin, and New York City that specializes in software and data management products for organizations that are testing and validating complex physical systems (like drones, planes, rockets, engines, satellites, nuclear reactors, etc.). We are backed by prolific and experienced venture capital firms like Founders Fund, Lux Capital, XYZ, Haystack, Human Capital, BoxGroup, etc., and have raised significant venture funding with strong early traction in both commercial aerospace as well as defense applications with the Department of Defense (DoD). The Nominal team comes from commercial companies like SpaceX, Palantir, Anduril, Lockheed Martin, and NASA and is active amongst customers in aerospace, defense, industrial, and advanced energy applications (autonomous aviation, eVTOL/VTOL, flight testing, satellite development, etc.). We are also building and delivering solutions to the United States Air Force (USAF) and are looking to expand use cases across the broader DoD test community. Our product is a data visualization and computation platform designed to accelerate how engineering teams test and validate hardware systems. We specifically aim to shorten the data review process after running tests and helping engineering organizations scale testing campaigns more efficiently and effectively to save time and lower costs. It works by combining heterogeneous data into runs and allowing users to easily build custom visualization and analysis. Users write test logic with interactive computation, and these checks can be applied to historical and future runs to compound learnings. Data sources can include telemetry, sensor data, logs, simulations, and other testing metadata like environment, vehicle, part, version, etc.

Tons of valuable objects in good or perfect condition like toys, furniture's, decoration, electronics… end up in landfills or recycling plants daily. By innovating it is possible to generate an incentive to give them a second life. Greenriot is an App to generate incentives and facilitate local circular economy tasks collaboratively User experience of "Stooping" activity (sharing photos and locations of discarded stuff on streets) on social media is horrible, information is disorganized and require many manual tasks that dont allow scaling, our solution save times and work to users and give an extra incentive, giving the option of monetizing and gamifying the activity. The model of Circular economy flea market organizations of selling things that people want to get rid of offering the service of emptying houses or receiving donations its a very profitable model that should be scaled, decentralized and digitized. These organizations receive too many donations at their Stores so they have to select the most valuable items and discard the rest, generating waste with valuable objects. By scaling the model, the problem can be minimized. Circular economy flea market organizations like Goodwill ,Salvation army, traperos emaus and most of 2nd hand thrift stores or garage sales dont have most of their local catalogs digitized. App or web systems on the market aren't good solutions for local thrifting, buying live and being able to touch and feel something before buying it has a differential value, online shopping often its not satisfactory, Apps or webs system on the market are good for online shopping but not for local thrifting. Consumers often throw away valuable items because there are no facilities to sell of donate fast and easy, repair, or transport them. By better organizing information and communication to facilitate these local tasks with offer and demand ads for easy matching its possible to generate ecological and economical incentives for making t

We are a well-funded, VC-backed stealth startup in the San Francisco Bay Area working on ‍AI Customization and Alignment. We are a highly technical team with expertise in LLM alignment and reinforcement learning from Stanford, Hugging Face, and Google. Collinear’s mission is to accelerate enterprise adoption of open source LLMs by providing customization-as-a-service, thereby unleashing the full potential of AI, surpassing current limitations and expectations. ‍ ‍By generating and utilizing synthetic data, Collinear AI can train models in safe, controlled environments, reducing the risk of harmful outputs and ensuring that deployments are ethical and align with client and societal values.‍‍ Simply put, we enable enterprises to adopt open-source LLMs by customizing them for their use cases and requirements.