We support energetic and passionate creators and guide them through their entrepreneurial journey. Through our regional roots, international mindset, and sustainable actions, we inspire, inform, empower and connect. We promote a spirit of entrepreneurship and entrepreneurial culture and create a home for all players in the startup and innovation ecosystem. We are a startup ourselves and as such, we strive to build a dream team, great company culture, and organization that we all love to work for. Our core philosophy is people over process and values over rules. Therefore, it is very important for us that we provide context to our team members, are very authentic and transparent, and share the same values. We value team spirit, courage, honesty, integrity, excellence, respect, inclusivity, flexibility, and speed. We are customer-centric and willing to try new things. We have the courage to do things differently and provide constant feedback to our colleagues. This way, we believe we will learn faster, provide better programs, and build trust among our team members, students, startups, and corporate partners.

Campus Founders

We back Northern European companies with industry changing software and hardware solutions. The companies we invest in range from pre-seed to Series A, and have already built something tangible to back their bigger vision. We are especially excited about applications in robotics, AI and autonomous systems, connectivity, data processing and sensing technology, circularity, and biomaterials. Our initial investments range from 0,5–3M€, with additional capital available for the best performers via follow-on investments. As our fund's lifetime is longer than average, we are there to support our portfolio companies long-term. We invest both as lead investor and as a co-investor to ensure seamless collaboration with other investors.

Kvanted Ventures

Faber is a Lisbon-based venture capital firm investing in outstanding entrepreneurs who innovate at the intersection of science and technology to drive digital transformation and climate action.  The firm combines a specialist focus on deep tech early-stage startups with dedicated funds, investment teams and expert advisors to actively help founders build global companies powered by AI/Data, Web3 or Ocean/Climate technologies. Faber’s unique approach in Southern Europe is led by an entrepreneurial management partnership and backed by notable thesis-driven institutions and private investors. Investing since 2013, the firm has been an early investor in hard tech companies such as Unbabel, SWORD Health, Codacy, iLoF or YData.

Faber

EIT Manufacturing creates a community of professionals and companies related to manufacturing. It is based in Palaiseau, France.

EIT Manufacturing

RESONIKS

The RESONIKS AI-powered acoustic analysis helps metalworking companies that want to find all defects by increasing employee efficiency and reducing the costs of manual quality inspections. RESONIKS has created a proprietary and patent-pending technology to convert acoustic sound patterns into valuable data for industries that are producing metal parts. The automated in-line solution detects anomalies such as cracks and pores by analyzing how metal objects react to sound.

RESONIKS (formerly SUPPLYZ) specializes in acoustic inspection technology designed for cast, forged, or welded metal parts. Its system uses advanced AI integration to detect irregularities and flaws in acoustic signatures, ensuring accurate identification of defective parts in noisy industrial environments. Additionally, it offers non-destructive testing solutions that use AI-powered sensors to identify internal inconsistencies like cracks, voids, and porosity in metal components.

Using data and automation to achieve 24/7 production.

Smart Factory

The Hague-based RESONIKS secures €2.65 million to make manual quality inspection a thing of the past

RESONIKS (formerly SUPPLYZ) specializes in acoustic inspection technology designed for cast, forged, or welded metal parts. Its system uses advanced AI integration to detect irregularities and flaws in acoustic signatures, ensuring accurate identification of defective parts in noisy industrial environments. Additionally, it offers non-destructive testing solutions that use AI-powered sensors to identify internal inconsistencies like cracks, voids, and porosity in metal components.Its technology facilitates both in-line integration for continuous monitoring and standalone systems for specific inspections, automating defect detection processes to ensure consistent quality and reduce manual inspections. The system setup involves placing one to 30 sensors around the metal part, adjusting the pinging strength and speed according to the part's specifications. The touchscreen interface simplifies the quality control process, making it more manageable for operators during inspections.RESONIKS claims to address skilled labor shortages and subjective testing methods by providing precise and rapid quality control solutions that match the pace of manufacturing lines. Furthermore, its algorithm continually improves with each inspection, supported by customer assistance for optimized performance. Key customers and partnerships The company collaborates with various partners such as Platform 6, Venture labs, EIT Manufacturing, and DeepTech Alliance. RESONIKS' technology finds applications in industries like automotive &amp; maritime, machine production, metal production, and aerospace &amp; aviation.

SparkCognition offers a suite of AI-powered data analytics solutions for businesses, specializing in the industrial sector. The company’s offerings include: 1) Industrial AI Suite, which enables users to connect datasets with configurable AI models, identify and contextualize risks to equipment, analyze maintenance actions, monitor performance, and visualize multi-asset systems, without requiring coding experience, and 2) Visual AI Advisor, which leverages computer vision to analyze real-time data from existing camera infrastructure for a number of different use cases, such as safety monitoring, visual inspection, and machine monitoring.&nbsp;In May 2023, the company launched the Generative AI Suite, a solution specifically tailored for the industrial sector, which enables users to build and deploy custom large language models (LLMs) on either private or on-premise cloud environments. Users also autonomously augment data sets by generating text, images, audio, and other signals and create imagery for use in simulated real-world environments. It claims to reduce the amount of foundational information needed for decision-making by up to 20x.Since 2021, the company has acquired a number of companies to further develop its product offering. This includes Indian visual AI startup <a href="https://sp-edge.com/updates/9370?industryIds=6">Integration Wizards</a> (March 2022) to expand its intellectual property (IP) portfolio to improve vision capabilities as well as digital knowledge platform Maana (July 2021), software developer for the renewable energy industry Ensemble Energy (May 2021), and financial technology company AIM2 (February 2021).&nbsp; Key customers and partnershipsSparkCognition’s clientele comprises large companies such as Boeing, Hitachi, and British Petroleum. It has also built partnerships with Google for cloud platform services, Hewlett-Packard Enterprise to offer AI predictive maintenance on HPE Edgeline Converged Edge Systems, and OSIsoft to integrate SparkCognition’s machine learning technology with OSIsoft’s PI system to improve data and process data analytics.&nbsp;

SparkCognition

Sight Machine offers a manufacturing data platform that captures and contextualizes data from factories to deliver a system-wide view of the manufacturing process as well as individual assets. The platform transforms raw plant data as well as data from machines of various manufacturers into a standardized data foundation and provides actionable insights for a range of use cases such as predictive maintenance, quality improvement, and capacity utilization. Users can analyze all assets, data sources, and processes by creating digital twins, thereby improving processes, quality, and productivity.&nbsp;In October 2022, Sight Machine introduced <a href="https://sp-edge.com/updates/13696?industryIds=6">Blueprint</a>, a tool developed in collaboration with NVIDIA and Microsoft, which uses AI for high-speed, automated data labeling. The company claims that this solution enables manufacturers to analyze up to 100x more of their data than traditional methods.&nbsp; Key customers and partnershipsSight Machine caters to at least 15 verticals, such as food and beverage, electronics, and automotive. Its global clientele includes Fortune 500 companies such as Nissan, Heineken, Westrock Co., and Asian Paints.&nbsp;<a href="https://sp-edge.com/updates/21955">In September 2023</a>, Sight Machine partnered with LS Electric, a power and automation solutions provider, to create an AI-driven Big Data analytics platform tailored for the manufacturing and energy sectors. In December 2023, the company went on to partner with Teamviewer, a remote collaboration solutions provider, to offer a joint product that combines the latter’s remote connectivity and industrial AR solutions with its real-time data and analysis for industrial processes.&nbsp;Sight Machine has established partnerships with large global companies such as Microsoft, Google, Databricks, Siemens, and AWS to integrate with their data analytics platforms and Fujitsu to help with wide deployments. In July 2023, the platform also became a certified Microsoft Cloud for Manufacturing partner and released Factory CoPilot, integrating its Manufacturing Data Platform with Microsoft Azure OpenAI Service to offer GenAI capabilities for manufacturing analysis and real-time insights. The company went on to launch the<a href="https://sp-edge.com/updates/33441"> Sight Machine connector for Databricks</a> (in September 2024), to integrate its manufacturing data platform with the latter’s data intelligence platform.

Sight Machine

Overview offers smart cameras and AI to enable users to monitor manufacturing equipment and robots and identify defects in real time before significant damage or downtime is incurred. The technology has a repository of machine data so that there is a traceable visual record of all units.&nbsp;With AI, the cause of production issues and quality concerns can be identified either on-site or remotely. The company claims over time, the deep learning computer vision algorithms allow for any sudden substantial increases in production and improved yields. Moreover, it reportedly offers 100% visual traceability and an over 99.9% uptime.&nbsp;Key customers and partnershipsAs of September 2024, the solution was used by a number of enterprises, including Schaeffler, ThermoFischer, Honda, Caterpillar, and Tyson.&nbsp;

Overview

Bright Machines combines robotics, machine learning, and computer vision to provide automation applications for the electronics manufacturing industry. Its flagship product is the “Bright Machines Microfactory,” a pre-integrated, programmable assembly line that can be deployed in existing and new production facilities. The Microfactory runs on the company's proprietary “Brightware” cloud-based software platform, offering a scalable solution that enables manufacturers to enhance supply chain resilience and adapt production capacity according to market demand. This software-defined manufacturing allows factories to change the products that they manufacture if needed. The company offers its service on a subscription-based microfactory-as-a-service (MaaS) business model.The company reportedly generated USD 83 million in revenue in 2021. In May 2021, Bright Machines reported that its revenue doubled each year since its inception (2018) and forecasts a 5-year CAGR (2020-2025) of over 84%.&nbsp;Key customers and partnershipsBright Machines served over 40 manufacturing companies as of October 2022.The company collaborated with Microsoft Azure in May 2024 to leverage the latter’s infrastructure to deliver a full-stack environment for all stages of the manufacturing lifecycle.The company also has distribution/sales partnerships with Anstar Corporation (April 2021), SMT Capital (April 2021), MaRC Technologies (May 2021), PAC Global (May 2021), Restronics (June 2021), <a href="https://sp-edge.com/updates/3618">BROCK Electronics</a> (June 2021), <a href="https://sp-edge.com/updates/4740">Murray Percival</a> (July 2021), <a href="https://sp-edge.com/updates/4412">Competitive Edge Manufacturing Equipment</a> (CEME; July 2021).Key competitors: None comparable (Bright Machines is the only company in the smart factory industry that offers microfactories-as-a-service, which combines intelligent software with adaptive hardware to automate manufacturing processes.)

Bright Machines

Augury offers AI-based predictive maintenance solutions. It uses wireless halo sensors to record the vibration, temperature, and magnetism of machines and upload them to the cloud, where AI will be used to diagnose faults and predict potential malfunctions. The system can predict failures and provide early, actionable insights on equipment status, allowing companies to plan maintenance more effectively. Augury offers Machine Health solutions for Critical Assets (MH CR) and Supporting Equipment (MH SE).&nbsp;Furthermore, it offers a warranty policy (one-of-a-kind in the predictive maintenance field) for up to USD 100,000 of repairs and replacements if the software fails to successfully predict machine faults. The company reported that its machine health (predictive maintenance) solutions can deliver an ROI of 3x–10x. In December 2023, the company launched a product loss guarantee solution, in partnership with HSB, which covers a broader range of production-related assets, including protection against production loss due to mechanical failures.&nbsp;In May 2022, <a href="https://sp-edge.com/updates/10286">Augury acquired Seebo,</a> another Israeli company that offers predictive quality and yield solutions for manufacturers to identify process-driven inefficiencies.&nbsp;Key customers and partnershipsAugury has built a customer base consisting of companies such as Hershey’s, Colgate-Palmolive, Grundfos, Heineken, Danone, and Bausch Health. The company announced an insurance plan for its customers in 2020, partly as a strategy to attract more customers. Augury’s Machine Health Solutions are integrated with PTC’s ThingWorx IoT through a partnership in July 2020 and are available in the PTC Marketplace. In October 2021, it partnered with Baker Hughes, a provider of energy technology solutions, which integrated Augury’s solutions into its System 1 software and asset performance management (APM) solutions. It went on to integrate Baker Hughes’ “Ranger Pro” wireless condition monitoring sensor and “Cordant” gateway into its platform in June 2024.&nbsp;In November 2023, <a href="https://sp-edge.com/updates/23991">Augury partnered with IFS Ultimo</a>, a provider of cloud-based enterprise asset management (EAM) solutions, to offer machine health monitoring and asset management workflows for industries. It went on to partner with DSV, a logistics solutions provider, in March 2024, to introduce a new Parts As a Service (PaaS) solution. The solution utilizes machine health to predict machine faults and enables users to automate the procurement of replacement parts.

Augury

Companies that provide robotic fleet management software, robotic automation software, and inspection software.

Companies that provide an industrial IoT platform across factories as the primary offering.

Companies that provide cobots, sorting/ picking robotics, modular production robotics, and microfactories.

Companies that focus on data analytics for operations streamlining and process optimization, and may offer predictive maintenance.

Companies that provide autonomous mobile robots (AMR) or self-driving vehicles (SDV) used in manufacturing/ factory operations.

Companies that monitor the manufacturing equipment and assembly lines.

Companies that provide predictive maintenance as a primary offering. 

Creates digital twins of assets and processes to help manufacturers improve processes, quality, and productivity

Connected devices, sensors, IoT, and analytics are used to optimize factory operations

Uses advanced robotics, AMRs, and related software to improve the efficiency of factory operations

Uses connected devices and sensors to gather data—IIoT, predictive analysis, and equipment inspection

Uses AI/ML to analyze data for predictive maintenance and AI-based vision systems for line inspections

5G standard allows for faster reaction times and supports high connection densities

Uses edge computing for data processing at the edge

Some companies in the predictive maintenance space uses generative AI to generate possible alternative scenarios

RESONIKS

About EDGE

Contact Us

Resources

Area of Focus

Technology Research Made Effortless