Axilor Ventures is an early stage seed fund and startup accelerator founded by some of the iconic entrepreneurs and business leaders, which include Kris Gopalakrishnan, S D Shibulal, Professor Tarun Khanna, Srinath Batni and Ganapathy Venugopal. In the last three years, Axilor has supported more than 80 startups, made 30+ investments and has an active Alumni network of 150+ founders.. Axilor focuses on early stage investments across the following sectors - Consumer Internet, Enterprise SaaS, Healthcare Technology, Artificial Intelligence, Fintech and Industrial IoT.

Axilor Ventures

Techstars is a global platform that provides investment and innovation. Through the Techstars Worldwide Entrepreneur Network, founders and their teams connect with other entrepreneurs, experts, mentors, alumni, investors, community leaders, and corporate partners who will help their companies grow. Techstars operates four divisions: Techstars Mentorship-Driven Accelerator Program supercharges success and Techstars Startup Programs inspire, educate, and connect entrepreneurs. Techstars Venture Capital Fund invests in innovative and disruptive companies. Techstars Corporate Innovation Partnerships help brands create products and services. Techstars' accelerator portfolio includes more than 1,000 companies with a market cap of $8.1 billion.

Techstars

Kalaari is a $160 million venture capital fund with a strong advisory team in Bangalore investing in early-stage, technology-oriented companies in India.  Kalaari Capital invests in the unknown Indian entrepreneur who is poised to become tomorrow’s global leader. They are India’s leading investor in early-stage businesses, nurturing them through every aspect of growth on the transformative journey toward success.

Kalaari Capital

[Connecticut Innovations](http://www.ctinnovations.com) provides strategic capital and operational insight to to companies in high-tech industries such as energy, biotechnology, information technology, and photonics. Their mission is to be the leading source of financing and ongoing support for Connecticut’s innovative, growing companies. By offering flexible financing, strategic guidance and introductions to valuable partners, Connecticut innovations enable promising businesses to thrive.

Connecticut Innovations

Innopact invests in exceptional founders of all genders who are building technologies for underserved customers across emerging markets.

Innopact

Supermorpheus

Peer Robotics

Peer Robotics is a collaborative mobile robotics company, building end-to-end material handling solutions for small and medium scale manufacturers.

Peer Robotics develops collaborative robots that are designed to learn from humans in real time, allowing the robots to be integrated and deployed alongside humans in various tasks like kitting for assembly and assembly line delivery. The robots have advanced sensing technologies and AI heuristic feedback-based learning to be able to perform natural navigation as well as obstacle avoidance. Robots are offered on a subscription basis and can be deployed in minutes without the requirement for any coding. The company claims that users are able to improve their productivity by up to 50%. Peer Robotics’ technology has been in research and development in several US and Indian manufacturing facilities through 2021–2022.

Using data and automation to achieve 24/7 production.

Smart Factory

Peer Robotics - A Deeptech Funded Startup Based Out Of New Haven

Peer Robotics develops collaborative robots that are designed to learn from humans in real time, allowing the robots to be integrated and deployed alongside humans in various tasks like kitting for assembly and assembly line delivery. The robots have advanced sensing technologies and AI heuristic feedback-based learning to be able to perform natural navigation as well as obstacle avoidance. Robots are offered on a subscription basis and can be deployed in minutes without the requirement for any coding. The company claims that users are able to improve their productivity by up to 50%. Peer Robotics’ technology has been in research and development in several US and Indian manufacturing facilities through 2021–2022.Funding and financialsIn September 2022, Peer Robotics raised USD 2.3 million in a seed funding round led by Kalaari Capital, with participation from several existing investors including Axilor Ventures, Connecticut Innovations, and Innopact VC. The purpose of funding was not disclosed.

<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

Peer Robotics

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