LRVHealth is the “Inside Healthcare” venture capital platform. LRVHealth’s investors include leading provider, payer, and vendor organizations, comprising a network that touches one in three healthcare consumers across the U.S. Together, this network collaborates to identify, invest in, and adopt innovative solutions to the industry’s most pressing needs. Founded in 2000 by an experienced team of healthcare investors, operators, and advisors, the LRVHealth team provides early stage capital, operating experience, and industry insights to build the next generation of great healthcare companies.

LRVHealth

The Hub Angels Investment Group is an angel group structured as a fund, with more than 100 members acriss its five funds.  Hub invests in technology-focused businesses primarily in the Boston area.  Through 2015, the Hub portfolio includes 38 investments in companies like Zipcar (IPO), CircleLending (acquired by Virgin Money), Intelligent Bio-Systems (acquired by Qiagen), Copiun (acquired by Good Technology), and Incentive Targeting (acquired by Google).  Between its funds and members, Hub has invested more than $25 million, with co-investors adding another $250 million. The Hub Angels Investment Group was founded in March 2000 and is headquartered in Boston, Massachusetts.

Hub Angels Investment Group

MassVentures meets critical capital needs in the Massachusetts innovation economy, providing seed and early-stage venture funding to high growth startups as they move from concept to commercialization. The Boston-based venture firm was formed in 1978 as a quasi-public corporation by the Legislature of the Commonwealth of Massachusetts, governed by an independent Board of Directors, and managed by experienced venture capitalists. Leveraging the entrepreneurial spirit, educated workforce, and centers of innovation in Massachusetts, MassVentures has a track record of success with early-stage ventures.

MassVentures

Bolt is a pre-seed venture firm investing where the digital and physical world intersect. Bolt invests early and with conviction, leading or co-leading the first round of financing in over 90% of our portfolio companies.  Bolt has invested in over 70 companies and is currently investing from our $70M Fund.

Bolt

Fastenal has grown from a single store to more than 2,700 locations, each providing tailored local inventory and personal service for our customers. As we've expanded across the world, we've retained a core belief in people and their ability to accomplish remarkable things - if given the opportunity. From this philosophy stems an entrepreneurial culture that challenges every employee to run their own business, create their own success, and rise up to become company leaders.  Backed by our global sourcing, quality, and logistics operations, each store is a local, one-stop source for a spectrum of OEM, MRO and Construction supplies.

Fastenal Company

Hyperplane Venture Capital is an investment firm focused on exceptional founders building machine intelligence and data companies. They partner with exceptional founders who are leveraging machine intelligence, sensor technology, and cloud computing to solve the world’s hardest problems uncovering the underlying structure for each problem and creating solutions at the nexus of perception, communication, intelligence, and insight. The company was founded by Vivjan Myrto, John Murphy and Brendan Kohler in 2015; and is headquartered in Boston, Massachusetts.

Hyperplane

Founded in 2010 by ex-software operators, Tola Capital is a venture capital firm that believes in the power of software and data to transform the way the world works. Our diverse team provides hands-on engagement to founders who build solutions with the potential for long-term, transformational change. We invest globally across multiple stages and exclusively target companies led by exceptional talent who are building essential software for enterprise customers.

Tola Capital

Firebolt Ventures is a venture capital firm based in Menlo Park, California. The firm focuses on early-stage and seed-stage investments in companies that operate within the industries involved with digital media, mobile, software, e-commerce, and information technology. Moreover, the firm takes an algorithmic approach to investing. Firebolt Ventures was started in 2014 by Cherian Mathew.

Firebolt Ventures

Teradyne (NYSE:TER) is a supplier of automatic test equipment used to test complex electronics used in the consumer electronics, automotive, computing, telecommunications, and aerospace and defense industries.

Teradyne

Ridgeline is a Memphis-based early stage venture capital firm that invests in technologies and businesses with the potential to transform large enterprises across both software and hardware.  The advantage of Ridgeline is their relationships with their strategic corporate limited partners (LPs) —including Fortune 500 companies FedEx, AutoZone, and Dollar General, all headquartered in Tennessee—representing foundational industries that impact the lives of many Americans every day. These strategic corporate LPs, through investing with Ridgeline, intend to drive innovation in their organizations by conducting meaningful pilots and proofs of concept with the firm’s portfolio. Ridgeline was established to identify, partner with, and serve founders as they prepare to go to market. The firm leverages its expertise and deep network to surround founders with the resources and relationships they need to navigate the fraught terrain between product potential and product market fit.

Ridgeline

MachineMetrics

MachineMetrics is an Industrial IoT analytics and machine monitoring platform that empowers customers through real-time data.Our fully automated manufacturing analytics solution provides visualizations of real-time manufacturing production data, predictive notifications, as well as historical analytics, allowing factory workers to make faster, smarter, more confident decisions based on real-time data. We've simplified IoT for the shop floor and are empowering manufacturers with the easiest to use and simplest to integrate software on the market. MachineMetrics is driving manufacturing efficiency by more than 20% on average for our customers.

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 MachineMetrics offers AI-driven data analytics and a machine monitoring platform for discrete manufacturers and machine builders. Machine data is collected through the industrial IoT platform and transformed into actionable insights using AI algorithms. The company provides an edge platform with plug-and-play connectivity. Data collected from sensors is sent to a cloud platform for processing in a centralized and secure location with remote access. This data can be accessed on MachineMetrics&rsquo; REST and GraphQl application programming interfaces (APIs). 
 
 By integrating machine data across the factory floor, the IoT platform can monitor machines in real time, identify production inefficiencies and bottlenecks, and analyze the machines&rsquo; condition to alert about any maintenance issues. Along with built-in applications, apps can be custom-built by the manufacturer as well. Third-party applications for work or quality instructions can also be added to the platform. The company&rsquo;s partners include Saint-Gobain (a building and high-performance materials manufacturer), AWS (a cloud platform), Synergy (a manufacturing industry solutions provider), and EpiCenter (a master systems integrator). Customers range from small contract manufacturers to large international OEMs.
 
 
 The company&rsquo;s most recent funding round was Series B funding worth USD 20 million in June 2021, led by Teradyne. The funds are to be allocated to scale operations to support its global expansion, expand its partner ecosystem, and enhance capabilities at the edge. According to MachineMetrics, the round follows 12 months of significant growth where revenue nearly doubled.
 
</div>

Using data and automation to achieve 24/7 production.

Smart Factory

MachineMetrics – IoT for Industrial Manufacturing

<div>
 
 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

<div>
 
 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.
 
</div>

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

MachineMetrics

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