IQ Capital is a Cambridge & London-based VC firm that invests in ‘deep tech’ companies capable of dominating their respective markets on a global scale. Initial investments at Seed and Series A range from £0.5m to £10m, with capacity for follow-on investment up to £30m through the Growth Fund. The team has achieved over 30 exits including to Apple, Huawei, Google and Oracle.

IQ Capital

Alma Mundi Ventures is a venture capital firm that funds primarily technology-based companies with B2B and B2B2C business models. The firms' third fund is an InsurTech Venture Fund with a European focus, backed by leading European international insurance companies and Mutuality Funds, investing between 1M and 7M in Series A, B, and C of leading European insurance startups. AMV is headquartered in Madrid but with an operational presence in Barcelona, London and Seattle.

Alma Mundi Ventures

Seedcamp is Europe's seed fund, identifying and investing early in world-class founders attacking large, global markets and solving real problems using technology. The Seedcamp Nation includes over 400 startups building breakout businesses that change the way people live, interact and buy and includes publicly listed UiPath, Wise, and unicorns Revolut, Hopin, Sorare, Pleo, and wefox along with fast-growing businesses such as Grover, viz.ai and Ezra.  Seedcamp fast-tracks a founder's vision and creates value through immediate access to smart capital, a lifelong community of support and a global network built upon more than a decade's experience backing exceptional talent. Seedcamp fast-tracks a founder's vision and creates value through immediate access to smart capital, a lifelong community of support, and a global network built upon more than a decade's experience backing exceptional talent.

Seedcamp

Pretiosum Ventures is a venture capital firm investing in Enterprise SaaS companies that will shape the Future of Businesses. We invest at pre-seed and seed stages. Capital meets Awesome.

Pretiosum Ventures

Expeditions Fund is a long-term and patient venture capital fund investing in early-stage technology companies globally led by mission-driven founders. The fund has initially started as venture capital operations of Firlej Kastory family office. In 2021, Firlej Kastory expanded beyond immediate family management and the venture capital firm, Expeditions Fund, was created. Expeditions Fund today is an independent venture fund backed by multi-billion dollar investors, family offices, founders and CEOs of successful companies.

Expeditions Fund

Synthesized

At Synthesized, we believe that an organizations most critical innovations, products, applications, and releases deserve not only test data that is perfect for their needs, but also get in their hands quickly, when and where they need it. Our cloud native automated test data provisioning platform is powered by a suite of traditional test data management tools, AI powered workflows, connection layers, and configurations and management controls that automate the access and provisioning of test data across the environments that support your most critical applications and innovations. For more information, please visit www.synthesized.io.

Based in the UK, Synthesized offers a synthetic data generation and provisioning platform. It allows ML practitioners to create high-quality synthetic data for software testing, model training, and analysis without requiring complex code or configurations. The company offers two products—the Scientific Data Kit (SDK) and Test Data Kit (TDK).

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

Synthesized Receives UBS Next Investment - Fintech Schweiz Digital Finance News - FintechNewsCH

Based in the UK, Synthesized offers a synthetic data generation and provisioning platform. It allows ML practitioners to create high-quality synthetic data for software testing, model training, and analysis without requiring complex code or configurations. The company offers two products—the Scientific Data Kit (SDK) and Test Data Kit (TDK).The SDK generates high-quality, privacy-preserving datasets for ML and data science use cases. It supports tabular, time-series, and event data and can be integrated with existing workflows for ETL, data preparation, and model training. In addition, ML developers can codify complex compliance requirements through the “Data as Code” feature to generate compliant synthetic data.The TDK is used to create right-sized test databases for application development and testing. It supports any relational database including PostgreSQL, Oracle, MySQL, and MSSQL.Key customers and partnershipsIts notable customers include some of the world's leading organizations, such as Accenture, Clarity AI, Google Cloud, Deutsche Bank, UBS, and the European Commission.Synthesized partnered with data intelligence company BigID to develop a new solution that allows teams to generate, mask, subset, and repopulate sensitive data, eliminating the risks of data leakage.Funding and financialsIn February 2024, the company received <a href="https://sp-edge.com/updates/26784">undisclosed funding</a> from UBS Next, UBS Group's venture and innovation wing, to support the next phase of its growth plans.

Datagen provides a self-service synthetic data platform that generates visual synthetic data of humans for computer vision applications. The platform allows users to write their own code to generate labeled synthetic data for faces, full body, and humans in motion in the form of images and videos to test and train AI models while retaining complete control over the data. The data covers a range of computer vision tasks including face landmark detection, face and hair segmentation, facial recognition and identification, full body pose estimation, full body segmentation, and behavior detection.Key customers and partnershipsThe company serves three of the top five global technology companies and Fortune 500 companies across the automotive, smart fitness, AR/VR/metaverse, smart office, and home security industries. Its notable customers include Google, Toyota, NVIDIA, IBM, and Intel.Funding and financialsIn March 2022, the company raised USD 50 million in a Series B funding round led by Scale Venture Partners. The funds were utilized to bolster its position in the market.Datagen reported to have recorded 8x growth in revenue in 2022.

Datagen

Weights &amp; Biases offers a platform that allows users to build models with experiment tracking, data set and model versioning, data visualization, hyperparameter optimization, and model management. The platform enables users to automatically retrain and re-evaluate models and centrally manage all model versions through every lifecycle stage—from development to staging to production. It also helps to visualize comparisons between model versions to evaluate performance and identify regressions before model deployment. It also offers toolkits such as <a href="https://sp-edge.com/updates/19172">W&amp;B Weave and W&amp;B Production Monitoring </a>to build and monitor data- and ML-powered applications, respectively, through interactive visualizations.The company also offers a <a href="https://sp-edge.com/updates/17880">suite of tools (W&amp;B Prompts) </a>to support large language model operations (LLMOps). W&amp;B Prompts includes tools and features for experiment tracking, debugging, and collaboration, as well as a one-click method to evaluate and score prompts through the OpenAI Eval’s framework.The company provides the platform through a free tier and under a subscription model for up to USD 50 per user per month.Key customers and partnershipsWeights &amp; Biases served more than 700,000 ML practitioners as of August 2023. Its notable include NVIDIA, Toyota, BMW Group, Samsung, Fujifilm, Truebill, and Clear Capital.The company has <a href="https://sp-edge.com/updates/18663">partnered with Lambda </a>, a GPU cloud computing provider, to offer its MLOps platform integrated with the infrastructure services of the latter, catering to enterprises dealing with AI and deep-learning workloads.Funding and financialsIn August 2023, the company raised <a href="https://sp-edge.com/updates/20874">USD 50 million in a strategic investment </a>round at a valuation of USD 1.25 billion, led by Daniel Gross and Nat Friedman. The round also saw participation from Sapphire Ventures, Coatue, Insight Partners, and other investors. The company aimed to utilize the fresh funds to further develop its ML tools, including the launch of W&amp;B Prompts.

Weights & Biases

BentoML offers an open-source platform called Bento Cloud, for the deployment and scaling of AI applications. It is a fully managed platform that handles the complexities of AI infrastructure, providing serverless autoscaling as required during the development and production stages. The platform helps to ship models to production with advanced deployment options including online and shadow A/B testing, while also providing visibility through model performance monitoring. The platform integrates with an organization’s existing data stack and enables users to continuously deploy and improve models in production. The company offers its platform through a combination of subscription and usage-based model.In addition, BentoML also provides the following open-source platforms: 1) Yatai, for model deployment on Kubernetes and 2) bentoctl, for model deployment on any cloud platform.Key customers and partnershipsAs of January 2024, BentoML reported that over 1,000 organizations, comprising more than 3,000 members, use its platform. Its notable customers include Koo, Open Layer, Line, and Naver.The company entered into a strategic partnership with TomTom, a developer of location technology, to help integrate with various models as well as in LLM deployments.Funding and financialsThe company raised <a href="https://sp-edge.com/updates/19684">USD 9 million in seed funding </a>in June 2023 led by DCM Ventures, with participation from Bow Capital. It aimed to channel the newly acquired funds to enhance its platform and offer developers a range of tools for building, deploying, and scaling AI applications efficiently.

BentoML

Iguazio provides a serverless platform based on its open-source Nuclio framework that helps users to develop, deploy, and manage real-time AI applications without requiring them to manually manage underlying infrastructures such as servers and storage. The platform creates real-time intelligence for applications located at the edge, public cloud, and on-premise data centers and reduces bandwidth constraints by consolidating data into a repository and making it available for applications as required. The platform can ingest and transform data from any source, which is then used to train, evaluate, deploy, and monitor models in production.The company leverages Big Data and ML software such as Apache Spark, TensorFlow, and Kubernetes to manage software containers that enable applications to run across different computing environments.Key customers and partnershipsIguazio serves customers in the financial services, telecommunications, smart mobility, manufacturing, retail, AdTech, gaming, healthcare, energy, and utilities sectors. Notable customers include Samsung, Microsoft, NVIDIA, AWS, Google, and Intel.Funding and financialsIn January 2020, the company raised USD 24 million in a funding round led by INCapital Ventures. The funds were utilized to accelerate its growth, expand its reach into new global markets, grow sales, and facilitate new sales channels that include companies such as Dell Technologies

Iguazio

Cogito Tech provides image and video annotation to generate computer vision training data sets for ML &amp; deep learning (DL). The video annotation solution leverages AI-powered tools to convert video into a sequence of images and generates training data sets for ML-based AI models, including self-driving cars and drones. The AI model understands and derives insights from visual data to detect, identify, classify, and track objects in an image or video. Cogito also provides virtual assistants and chatbots to help users in the process of training ML algorithms. Cogito Tech also provides high-quality, ethically sourced datasets that are compliant and reliable to train ML models.In addition, the company provides services to fine-tune LLMs and GenAI applications through reinforcement learning techniques as well as stress test models through red teaming.Key customers and partnershipsAs of December 2022, the company served more than 150 customers across 25 countries in the retail, medical, automotive, agriculture, robotics, smart cities, security, and manufacturing industries. Notable customers includes Verizon Media, The University of Sydney, National Geographic, Tumblr, and Vimeo.

Cogito Tech

Platforms and frameworks that help developers build and train ML models.

Platforms that deploy and host the trained and tested models in production and integrate them into applications through APIs.

Platforms that generate artificial data that mimics the characteristics of real data, which is then used to train ML models at scale.

Platforms that help monitor and manage ML models in training and deployment to track performance, conduct variance analysis, and optimize performance.

Makers of hardware such as CPUs, GPUs, and other application-specific hardware required to train and run ML workloads.

Integrated solutions that handle the end-to-end processes of developing, training, deploying, and monitoring ML models.

Data exchange providers and platforms that offer data labeling services via manual and/or software methods, which are used as input to train ML models.

Includes companies that provide infrastructure to build AI/ML applications

Provides tools to build, monitor, and deploy GenAI applications

Industry is focused on offering platforms for other businesses to build AI-/ML-powered apps

<div>
 
 Synthesized, a platform that generates and provides synthetic data, has gained an unknown fund from UBS Next, the innovation aspect of UBS Group, to facilitate its future growth strategies.
 Born in 2018, Synthesized is a platform steered by API for data generation and provisioning, which fabricates synthetic test data. This aids quality assurance and ML squads to generate, verify, and securely disseminate premium data for software testing, model training, and examination devoid of necessitating intricate code or settings.
 
</div>

Synthesized

About EDGE

Contact Us

Resources

Area of Focus

Technology Research Made Effortless