Plug and Play is a seed and early-stage investor focused on great teams leading emerging growth companies.  Plug and Play runs 12 industry-specific accelerator programs twice a year, that acts as a platform for major corporations and high quality startups to connect and collaborate.  Located in the heart of Silicon Valley, Plug and Play participates in Seed, Angel and Series A funding where they often co-invest with their strategic partners. Through years of experience and as part of their network, Plug and Play has put together a world-class network of serial entrepreneurs, strategic investors, and industry leaders who actively assist the firm with its successful and growing investment portfolio.  SEED ROUND. Plug and Play participates in seed round investing through a program called Startup Camp. Startup Camp is a 10-week program based in Silicon Valley for top-notch entrepreneurs to work intensively on building out their business model. Select startups will refine their business models and prototypes with help from a combination of structured workshops, speaker series and mentorship sessions, as well as active coaching from their investment team. At the culmination of Startup Camp, founders will have crystalized their business plans and pitched their company to the venture capital community at EXPO Demo Day.''  ANGEL ROUND Plug and Play makes angel round investments throughout the year, sourced from their monthly Plug and Play Angels (PAPA) sessions. They are partnered with local angel investors in Silicon Valley who participate in PAPA to find the most promising startups and best new technologies.  SERIES A. Series A typical Series A round is in the range of $2 million to $10 million, and is intended to provide operating capital for the company for six months to two years. This round capitalizes the company as it develops its products, performs initial marketing and branding, acquires talent, and conducts other early-stage business operations. It is in this stage that Plug and Play will co-invest with over 180 venture capital partners.  Plug and Play has helped grow market leaders such as PayPal, Danger, Google, DropBox, LendingClub, Zoosk, SoundHound, CreditSesame, Skytree, and has over 400 more early-stage startups in its portfolio.

Plug and Play

Merus Capital is an early-stage venture capital firm founded by former M&A leaders at Google and Microsoft. Merus empowers ambitious teams building tomorrow’s industry-defining platforms. The firm partners with founders that possess unique industry and customer insights, an unwavering commitment to product innovation, and a relentless focus on execution.

Merus Capital

SquareOne is a venture capital firm focused on pre-seed and seed investments in B2B technology. Typically the first institutional investor on the cap table, SquareOne provides a unique first-customers-guarantee to all its portfolio companies, acting as an entrepreneurial sparring partner and hands-on supporter from day one. With its network of leading executives, tech entrepreneurs, and investors, SquareOne builds the foundation for large and profitable category leaders in B2B software and deep tech businesses across Europe and counts companies like Stripe, Pipedrive, Carbon One, and Wandelbots as part of its portfolio. The Berlin-based VC, formerly known as Paua Ventures, was founded in 2010.

SquareOne Venture Capital

Newfund is a $300M entrepreneurial VC firm dedicated to pre-seed and seed investments in France and North America, in companies driving global change. The company is always looking for founders who are driven to realize a vision that will significantly alter the world in which we live. In order to appreciate what entrepreneurs are creating and utilize their strengths, Newfund aims to comprehend entrepreneurs as unique individuals.

Newfund

Quest Venture Partners is an early stage venture capital firm located in Palo Alto CA. They invest between $300k-$1.5MM in early stage companies, with typical investments being around $500k.

Quest Venture Partners

Relimetrics

Relimetrics is a full stack computer vision and machine learning software providing audit-proof quality inspection and process control for Industry 4.0 Applications. We use real-time image processing and video analytics to automate and digitize visual inspections, making them easy, connected, and insightful. We are located in Sunnyvale, CA and Berlin, Germany.

Relimetrics offers AI-based quality automation solutions for manufacturing and assembly processes. The company uses computer vision and AI technologies to digitize quality assurance (QA) inspections and process control in various industries, including electronics, automotive, and aerospace.

Using data and automation to achieve 24/7 production.

Smart Factory

High-precision QA automation in 5G era: Q&A with Relimetrics CEO Kemal Levi

Munich Re

Relimetrics is a leader in AI-based quality inspection for manufacturing processes. Its detection accuracy and availability of its software systems will be guaranteed and that this guarantee is backed by the Munich Re

Relimetrics offers AI-based quality automation solutions for manufacturing and assembly processes. The company uses computer vision and AI technologies to digitize quality assurance (QA) inspections and process control in various industries, including electronics, automotive, and aerospace.Relimetrics' offerings consist of several modules, including 1) a Training Module (PIXEMETRICS) that allows customers to develop deep learning models for quality inspection, 2) a Quality Audit Module that applies these models for in-line QA inspections, and 3) a Process Control Module that provides real-time process control feedback by correlating machine and process data with digitized quality data. Its solutions can be deployed both at the edge and in the cloud and offer an open API to easily add new functionality.<s>&nbsp;</s> Key customers and partnershipsRelimetrics partnered with Intel to introduce the Relimetrics AI-Based QA automation system tailored for electronics assembly. Utilizing Intel architecture, this solution examines assembled products as they move along a conveyor belt, aiming for quality assessment. The process involves the use of high-definition cameras to visually inspect the assembled items.

Avathon (formerly 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&nbsp;reduce the 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&nbsp;<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;<a href="https://sp-edge.com/updates/34997">In October 2024,&nbsp;</a>Avathon unveiled a new system-level AI platform that provides solutions for managing and monitoring critical industrial infrastructure. The AI platform addresses various industrial issues, including maximizing the uptime of capital-intensive assets, enabling efficient manufacturing ramp-up, and ensuring worker safety in industrial settings.&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;

Avathon

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

Relimetrics

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