Addnode Group acquires, operates, and develops entrepreneurial companies that provide software and digital services to markets where we have, or can take, a leading position. We are a European supplier of software and services for design, construction, and product data information as well as a leading supplier of document and case management systems to the Swedish public sector. We have 1,800 employees in Sweden, the United Kingdom, Germany, Australia, Denmark, Finland, France, India, Japan, Canada, the Netherlands, Norway, Serbia, Slovakia, the United States, and Austria.

Addnode Group

Armavica Technologies

Axeleo Capital provides a unique framework for European early-stage startups with equity investments from seed to Series B stages, operational guidance, and strategic assistance. We are the first institutional investor for startups, and we believe in supporting them every step of the way. Our tailored approach includes support for team management, business strategies, partnerships, and ESG activities. We boast an active ecosystem of more than  150  high-level  entrepreneurs, sector experts and mentors who have been instrumental in numerous success stories across Europe and the US. With €150 million in assets under management, our employee-owned firm deploy sector-focused funds to outperform the asset class and finance the next generation of European Tech Champions. Our playground : Enterprise Software, Cybersecurity, B2B Fintech, Crypto & Web 3.0, Proptech & Contech

Axeleo Capital

TECHNIA is an information technology and services company that specializes in design, analysis and Manufacturing.

TECHNIA

InUse

InUse is a connected maintenance SaaS application that makes machines talk to improve production performance of factories By embedding industrial expertise within the machines, InUse transforms their usage data into concrete recommendations for operators in factories. It enables the machines to request the maintenance operations they need and to guide the operators towards the best action to be taken according to the production context. All production actors are thus augmented with a collective intelligence directly embedded into the machines. Designed to deliver connected maintenance services in factories, InUse offers the opportunity to address many industrial challenges faced by manufacturers through a single application. InUse allows them for example, to predict the future failures of the machines and significantly reduce the time to restart after a production breakdown. Based in Paris, InUse is part of the Alliance pour l’Industrie du Futur as well as the French Fab. InUse customers include Shem (Engie), Sidel, Alfi Technologies, PellencST and ICE Water Management.

InUse is a France-based developer of an industrial IoT platform for equipment manufacturers and factories.

Using data and automation to achieve 24/7 production.

Smart Factory

InUse is a France-based developer of an industrial IoT platform for equipment manufacturers and factories.The company’s industrial IoT platform enables customers to use and process production data to inform, notify, and guide operators, technicians, and managers on the best course of action to take on a daily basis. It offers solutions for site performance, maintenance, and process optimization requirements.InUse provides its customers with three different software solutions - the IU Predict - for maintenance optimization and critical breakdown prediction in the motor industry; IU Sustain - an application developed to analyze and control the energy consumption of production machines; and IU Sustain to reduce water consumption in cleaning-in-place (CIP).The company sells its software globally through resellers located across the world.Key customers and partnershipsInUse serves companies like ALPMA, NKC, Sabatier, Pellenc ST, SHEM (hydroelectric operator), Hellenic Dairies Group, and ALFI Technologies.The company’s digital partners are BPI France, France Digital, and La French Fab. Its industrial partners are Cetim Engineering, Fédération des Industries Mécaniques, Groupement des Équipementiers du Process et du Packaging des Industries Agroalimentaires, and Symop. Its technology partners include Bosch Rexroth, Capflow, HMS Network, and AMA XpertEye, while its consultancy partners are Noventum and Quaternaire.

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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.
 
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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.
 
 
 
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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

InUse

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