3KVC is a New York-based venture fund focused on early-stage investments. The company intends to invest in the software and financial services industries.

Third Kind Venture Capital

BoxGroup is an early-stage investment fund that invests in technology companies. The fund aims to invest in the consumer, enterprise, fintech, healthcare, life science, and marketplaces industries at the earliest stage, as early as pre-seed round and as late as Series A. It supports companies based on a conviction in the team and seeks entrepreneurs working at the beginning of movements in existing markets or new markets yet to be created and with visions to create the next generation of category-defining businesses. Their typical investment ranges from $200,000 to $500,000. Adam Rothenberg and David Tisch founded BoxGroup in 2009 in New York, New York.

BoxGroup

Abstract Ventures is a sector agnostic venture investor in pre-seed, seed, Series A and B startup companies. It serves as pavers for founders, making vital connections for fundraising, talent, customers, and advice. The firm is a dot connector, counting the world’s most visionary investors, founders, and industry leaders as our allies.

Abstract Ventures

Supernode Ventures they invest in early stage technology companies including fintech, software, digital media, family offices, SaaS companies, and hedge funds.

Supernode Ventures

Pareto Holdings is an early-stage investment vehicle founded by Jon Oringer and Edward Lando. We execute on dozens of investments per month and are often the first to back exceptional entrepreneurs. We are industry and geography agnostic, and specialize in pre-seeding companies. We’ve made 500+ investments to date. Unlike others, we only invest our own money with a small and mighty team around the world.

Pareto Holdings

Shine is a venture capital firm that partners with relentless, creative, convincing entrepreneurs from the earliest stages of company building.

Shine Capital

Kinta AI

Kinta Artificial Intelligence is a fast-growing team of engineers, data scientists, and entrepreneurs with a passion for modern manufacturing challenges. We bring the fast execution and ambitious vision of Silicon Valley to support manufacturers on their journey to Industry 4.0. We’ve built the first AI-powered platform for planning operations. Kinta deploys this AI to solve complex manufacturing problems and optimize the use of our clients' valuable production resources. We deliver near-term and recurring cost savings by helping advanced manufacturers manage supply and demand uncertainty and respond flexibly.  We are trusted by major manufacturers world-wide including Stanley Black & Decker, BASF, and Diebold Nixdorf. Reach out to us to learn more about how we are deploying intelligent manufacturing worldwide.

<div><p>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).</p></div>

Using data and automation to achieve 24/7 production.

Smart Factory

<div>
  <p>
    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).
  </p>
  <p>
    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.
  </p>
</div>


<div>
  <p>
    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.
  </p>
  <p>
    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">
      <u>In January 2024,</u>
    </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.
  </p>
  <p>
    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.
  </p>
</div>


RightHand Robotics

<div>
  <p>
    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. 
  </p>
  <p>
    SparkCognition’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.
  </p>
  <p>
    The company’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&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.
  </p>
</div>


SparkCognition

<div>
  <p>
    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">
      <u>Sight Machine Blueprint</u>
    </a>
     to offer manufacturers with advanced data analytics solutions.
  </p>
  <p>
    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.
  </p>
  <p>
    <b>Funding and financials</b>
  </p>
  <p>
    In December 2023, 
    <a href="https://sp-edge.com/updates/25200">
      <u>Sight Machine received a low double-digit million euro investmen</u>
    </a>
    t from TeamViewer to improve industrial digitalization and enhance manufacturing efficiency.
  </p>
  <p>
  </p>
</div>


Sight Machine

<div>
  <p>
    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. 
    
    <b>Funding and financials</b>
  </p>
  <p>
    In February 2022, the company raised USD 10 million in series A funding to be used to expand operations and business reach.
  </p>
</div>


Overview

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

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

Kinta AI

Smart Factory

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