Unify Twin Inc

Industry first 5.0 Company focusing on Unifying Human and Machine Intelligence to create predictable business outcomes. UnifyTwin provides iLens Machine and iLens Assistant  iLens Machines operate seamlessly on the real-time machine edge-based data along with the data from the information systems of the enterprise and the plant operations, and feed AI-driven contextual views to connected workers. While iLens Assistant Serves as a ‘digital friend’ for frontline connected workers to collaborate more efficiently with each other, and use the AI-assisted insights from iLens Machine to accelerate productivity and safety. UnifyTwin is the  first Industry 5.0 software company that eliminates digital blind spots and data silos to maximize industrial productivity and quality. The product was initially developed by Knowledge Lens and in May 2021 was hived of as a separate entity with only Industry 5.0 focus.

<div><p>Founded in 2021, UnifyTwin offers “Intelligent Industrial App Suite,” an AI-based app suite for industrial use. The company is a part of India’s Knowledge Lens, a company offering industrial internet of things (IIoT) solutions for manufacturing. Its initial iLens product was rebranded as UnifyTwin and launched as a separate company in the US.</p></div>

Using data and automation to achieve 24/7 production.

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UnifyTwin

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  <p>
    Founded in 2021, UnifyTwin offers “Intelligent Industrial App Suite,” an AI-based app suite for industrial use. The company is a part of India’s Knowledge Lens, a company offering industrial internet of things (IIoT) solutions for manufacturing. Its initial iLens product was rebranded as UnifyTwin and launched as a separate company in the US.
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  <p>
    The UnifyTwin app suite was commercially launched in May 2022. The suite includes five apps to 1) monitor energy consumption, 2) measure and manage pollution, 3) optimize yield, and 4) remotely monitor assets and also 5) an AI-based asset analytics app for predictive maintenance. The apps address pain points across the industrial lifecycle by combining human and machine interactions to generate real-time insights and recommendations to support decision-making. UnifyTwin serves several industries including pharma, chemicals, textile, energy, metals, and building materials.
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  <p>
    UnifyTwin apps can be deployed across edge to cloud, on a subscription or on-premise basis. It also offers its own portfolio of hardware that works with the app suite. The hardware infrastructure collects data from equipment and transfers it to on-premise servers or the cloud for processing.
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  <p>
    <b>Key customers and partnerships</b>
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  <p>
    As of May 2022, UnifyTwin apps were deployed by over 450 customers globally. Some notable customers include Aditya Birla, Holcim, Tata Steel, Rockwell Automation, ThermoFisher, and Dalmia. As of May 2022, UnifyTwin’s technology partners included Microsoft, Black Box, and algorythm, while cloud partners included AWS, Microsoft, Google Cloud, and Oracle.
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  <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.
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  <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.
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  <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.
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RightHand Robotics

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  <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.
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SparkCognition

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  <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.
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Kinta AI

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  <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>
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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>
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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.

UnifyTwin

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UnifyTwin launches AI app suite for manufacturers

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