Right Side Capital Management is a venture capital firm that helps startups build their company. It invests exclusively in the pre-seed round of technology startups and makes 75-100 investment per year. The firms prefers to invest in diversified technology sectors such as the internet and cloud companies. RSCM was established in 2010 and is based in San Francisco, California.

Right Side Capital Management

Forum Ventures is the leading early-stage fund, program and community for B2B SaaS startups. Founded in 2014 as Acceleprise, we’re on a mission to make the B2B SaaS journey easier, more accessible and successful for early-stage founders, through pre-seed and seed-stage funding, high touch programming, corporate perks and introductions, and an active SaaS community.  Forum For Founders, our pre-seed program, provides founders with $100k in funding and 15 intense weeks of talks, events, mentorship and 1:1 guidance focused on go to market and fundraising. Forum Seed, our seed fund, backs exceptional SaaS startups at the seed-stage both from within and outside of our pre-seed program.  With over 250 portfolio companies, Forum founders have gone on to raise from NEA, Andreessen Horowitz, Uncork Capital, 8VC, Founders Fund, Menlo Ventures, Canaan, Bowery Capital, Susa Ventures, Salesforce Ventures, SV Angel, True Ventures and many more. Learn more at www.forumvc.com

Forum Ventures

You don't need to leave for the coasts to build your company.  You can do it right here in the Midwest.  But finding capital can be a challenge. You would rather raise a small round, quickly. Then, get back to showing everyone that you can execute. That is the reason we exist. Comeback Capital has assembled an all-star group of coastal and local LP's who share our passion and belief that great companies have been and will continue to be built in the Midwest. In addition to capital, Comeback Capital portfolio companies benefit from connections to advisors from more established startup markets.

Comeback Capital

Expert DOJO is one of the most active international early-stage startup accelerator and venture capital fund in Southern California. We invest on average $50,000 in each of our startups and up to $1,000,000 of follow-on investment to companies who have demonstrated exceptional growth.   We help our companies get traction and scale faster than they could ever do by themselves. Since 2018, we have invested in over 260 startups globally to accelerate their growth. What makes us special is our focus on building visionary companies. If you can visualize your unicorn, you have a higher probability of achieving its full potential. That’s where Expert DOJO comes in. We invest in pre-seed and seed companies ready to scale quickly. Most of our startups are minority and female founded technology companies. However, we remain industry agnostic and invest in founders from all over the world and from diverse backgrounds.

EXPERT DOJO

Lincode

Setting the standard for precision in manufacturing. We leverage the power of AI-driven visual inspection to help manufacturers achieve unmatched product quality and operational excellence. By automating defect detection and delivering real-time insights, we enable businesses to reduce waste, minimize errors, and maximize efficiency on every production line. Without the need for changing existing cameras or other hardware. Trusted by industry leaders in automotive, aerospace, electronics, or packaging  our solutions are proven to deliver results where it matters most—on the factory floor. Our system is built to suite the business requirements well without the need of additional rules or programming. With a few simple to use configurations manufacturers can set their quality tolerances per defect or per camera and work with both automation or non automated inspections seamlessly.

Lincode Labs offers AI and industrial IoT solutions to automate visual inspection and identify product defects. The company's flagship product, the Lincode Visual Inspection System (LIVIS), integrates with existing factory systems and leverages AI and machine learning to identify, predict, and eliminate product defects across the entire manufacturing process. Lincode's automated visual inspection platform is also compatible with off-the-shelf cameras, mobile devices, borescopes, and X-ray systems, making it adaptable for manufacturing processes like casting, stamping, grinding, and machining.

Using data and automation to achieve 24/7 production.

Smart Factory

Lincode Labs

Lincode Unveils Strategic Roadmap to Transform Manufacturing Quality Control with AI-Powered Visual Inspection

Lincode Labs offers AI and industrial IoT solutions to automate visual inspection and identify product defects. The company's flagship product, the Lincode Visual Inspection System (LIVIS), integrates with existing factory systems and leverages AI and machine learning to identify, predict, and eliminate product defects across the entire manufacturing process. Lincode's automated visual inspection platform is also compatible with off-the-shelf cameras, mobile devices, borescopes, and X-ray systems, making it adaptable for manufacturing processes like casting, stamping, grinding, and machining.The company caters to the electronics, automotive, pharmaceuticals, packaging, and materials industries.&nbsp; Key customers and partnershipsAs of September 2024, the company serviced clients such as Schneider Electric, Saint-Gobain, AstraZeneca, Cataler, Suzuki, TATA Motors, Sansera, TE Connectivity, Magna, and Boeing.

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

Lincode Labs

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