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

Lincode is an Artificial Intelligence & Industrial IoT solutions company increasing the profitability of manufacturing companies globally. Lincode has developed a unique computer vision-based solution that detects QA issues at higher rates of accuracy and at lower costs than major competitors.

Lincode Labs offers AI and industrial IoT solutions to automate visual inspection and identify product defects at a lower cost. The solution utilizes computer vision and AI to capture defects accurately in real time, which can be integrated into the electronics, automotive, pharmaceuticals, packaging, and materials industries. As of September 2020, the company services clients such as Schneider Electric, Saint-Gobain (a building and high-performance materials manufacturer), AstraZeneca (a pharmaceutical company), and Cataler (a chemical catalyst manufacturer).

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

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 Righthand Robotics provides autonomous robotic picking solutions called RightPick. It utilizes a smart gripper, machine learning, and computer vision to imitate human hand-eye coordination. It develops software and hardware for predictable order fulfillment at scale with flexibility. The company&rsquo;s solutions can be utilized in industries such as apparel, grocery, pharmaceuticals, and electronics. It is based in Massachusetts and has an office in Tokyo, Japan. The company is focused on expanding its European operations, having opened an office in Frankfurt, Germany, in March 2020.
 
 
 In 2019, the company launched the second generation of its piece-picking robotic solution, &ldquo;RightPick2,&rdquo; which includes enhancements to hardware and software. The upgrades included a fifth-generation industrial gripper with the capacity to lift up to 4.4 lbs, new depth-sensing cameras from Intel, and an improved arm from Universal Robots. In 2021, the company launched &ldquo;RightPick 3,&rdquo; with improved picking speeds, capacity to handle a broader item range, and with capabilities for dense packing and damage-free item handling. 
 <a href="https://sp-edge.com/updates/25875">
 In January 2024,
 </a>
 it launched &ldquo;RightPick 4&rdquo; with enhanced AI, sensor suite, and new hardware that allow the system to extend its item-picking range, handle items more efficiently, and enhance system autonomy.
 
 
 In February 2022, the company raised USD 66 million in a Series C round bringing its total funding to USD 100.3 million. The funds were expected to be used to accelerate product and business development, scale global presence by expanding the partner network, expand offices, and acquiring new talent to support overall growth plans. Subsequently, in March 2022, the company announced the launch of its 
 <a href="https://sp-edge.com/updates/9203?industryIds=6">
 partner integrator program,
 </a>
 to complement its robotic piece-picking solutions with warehouse technologies and solution providers to cater to the broad ecommerce order fulfillment market. In May 2022, AutoStore integrator in South Korea Asetec also joined the program.
 
</div>

RightHand Robotics

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 SparkCognition is an AI analytics startup offering four deep learning product solutions: Darwin (automated model-building software), DeepArmor (AI-powered cybersecurity), DeepNLP (NLP solution), and SparkPredict (analytics solution utilizing sensor data). These products deliver actionable insights, predict machine issues via historical maintenance data, and provide security from cyber threats. These products can be deployed across multiple industries, such as manufacturing, defense, utilities, oil and gas, and aviation. 
 
 
 SparkCognition&rsquo;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&rsquo;s machine learning technology with OSIsoft&rsquo;s PI system to improve data and process data analytics.
 
 
 The company&rsquo;s most recent funding round was Series D funding worth USD 123 million in January 2022 from March Capital, Doha Venture Capital, B. Riley Venture Capital, AEI Horizon X, Temasek, and several others. The funds were intended to be used to invest in R&amp;D, accelerate sales and marketing, facilitate organic and inorganic growth, and also for the working capital requirements of the company. In March 2022, the company acquired Indian visual AI startup 
 <a href="https://sp-edge.com/updates/9370?industryIds=6">
 Integration Wizards
 </a>
 to expand its intellectual property (IP) portfolio to improve vision capabilities. The company has reported a 2x increase in revenue YoY in 2021.
 
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SparkCognition

Kinta AI provides an automated production planning platform for manufacturing that uses advanced AI algorithms and simulation techniques. Using existing operational data, a SaaS solution is deployed that can be integrated with existing management execution systems (MES), enterprise resource planning (ERP), and Industry 4.0 tools in the factory. The software looks to have cross-functional communication across the factory to eliminate any bottlenecks that delay resolving breakdowns. Kinta AI has partnered with Flex (an electronics manufacturer) and BASF (a chemical company).Kinta AI’s most recent financing was a Series A funding round worth USD 5.5 million in April 2021 led by Lachy Groom’s LGF and Shine Capital. The funds will be utilized to scale operations in existing general industrial client factories and implement the Kinta AI platform in new client factories.

Kinta AI

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 Sight Machine provides a digital manufacturing platform enabled by AI. It creates a digital twin of both assets and processes to help manufacturers improve processes, quality, and productivity. It can also gather data from machines of various manufacturers supplying actionable insights for predictive maintenance, quality improvement, capacity utilization, among other benefits. In October 2022, the company released 
 <a href="https://sp-edge.com/updates/13696?industryIds=6">
 Sight Machine Blueprint
 </a>
 to offer manufacturers with advanced data analytics solutions.
 
 
 Sight Machine has established partnerships with large global companies such as Microsoft, Google, and Amazon Web Services (AWS) for their cloud platforms and Fujitsu (system integrator) to help with wide deployments. Sight Machine, which caters to at least 15 verticals, such as food and beverage, electronics, and automotive, is on the move to expand into more verticals. It has global clients of Fortune 500-caliber, including Nissan, Heineken, Westrock Co., and Asian Paints. Sight Machine&rsquo;s most recent funding round was Series C funding worth USD 29.4 million in April 2019, led by LS Group. The funds were to be used to expedite the company&rsquo;s growth.
 
 
 Funding and financials
 
 
 In December 2023, 
 <a href="https://sp-edge.com/updates/25200">
 Sight Machine received a low double-digit million euro investmen
 </a>
 t from TeamViewer to improve industrial digitalization and enhance manufacturing efficiency.
 
 
 
</div>

Sight Machine

Overview uses smart cameras and AI 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. 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. Funding and financialsIn February 2022, the company raised USD 10 million in series A funding to be used to expand operations and business reach.

Overview

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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