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Breaking the trust barrier: Accredify’s journey to secure digital interactions

In our increasingly digitized world, the manner in which we exchange information has evolved from traditional pen and paper to the utilization of digital data, facilitated by the internet.

While these advancements offer efficiency, speed, and accessibility, digital interactions are typically hindered by a lack of trust. To preserve data integrity, verification is required, usually through methods involving multiple parties, and this can result in inefficiencies.

When Zheng Wei Quah, co-founder and CEO of Accredify, recognized this challenge, he decided to embark on a journey to transform the landscape of digital interactions.

Implementing blockchain technology for real-world cases

Quah’s first blockchain venture, Ceito, aimed at aiding businesses in leveraging blockchain technology for optimizing supply chain management and commodities trading. In 2017, he ventured into a new chapter together with his co-founders, taking the strategic step of establishing Accredify, in response to the evolving landscape that witnessed a transition from service-centric to product-centric enterprises.

According to Quah, one of the significant challenges they encountered was the scarcity of available information and resources about blockchain technology at that time.

“We’re accustomed to leveraging resources like Stack Overflow and other tools to search for solutions to our challenges. However, back then, the situation was quite different. Tasks such as customizing specific Ethereum components to align with our use case posed significant challenges. The answers to these questions weren’t readily available, leading us to recognize the need to invent our own solutions,” Quah said.

Furthermore, the concept of blockchain was relatively new, and Quah found himself needing to explain granular technical details. Controversies such as the crash of the Terra Luna cryptocurrency and the FTX centralized exchange did not deter their efforts.

Support from government entities, universities, and its clients helped people learn to distinguish between firms offering real-world applications like Accredify, and cryptocurrencies. This provided strong evidence that the company is here for the long haul.

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How To De-Risk Supply Chains In An Unpredictable World

Supply chain collaboration is one of those every day business terms that’s easy to dismiss until a catastrophic disruption strikes like material shortages, product design flaws, production delays, and more. But what if organizations across the supply chain could quickly huddle to pinpoint problems and take action together, staving off anything from minor setbacks to potential disaster? This is the concept behind Inspectorio, a cloud-based solution designed to help suppliers, manufacturers, brands, and retailers work together to reduce supply chain risk through digitalized quality management, ESG compliance, production tracking, and lab testing.

“Automating activities on a centralized data platform helps companies make fast and strategic adjustments in a way that is incredibly collaborative with their supplier base,” said David Klein, president and co-founder of Inspectorio. “Organizations can become more agile and resilient to supply chain disruptions, able to shift sources, product materials, and production locations to address problems and improve productivity and efficiencies.”

After digitalizing manual activities on Inspectorio, Klein said that organizations have averaged 95% time savings in administrative data entry, and 100% time savings in reporting. Customers have improved quality pass rates by approximately 8% on average. Some have reduced defect rates by 14% on average.

Digitizing quality control for accuracy and efficiency

Quality management spans numerous groups, including factories that conduct self-inspections and third-party inspectors who visit facilities. According to Klein, digitizing quality management activities helps suppliers, retailers, and others work together on standardized quality control. Inspectorio incorporates artificial intelligence to monitor facility risk, leading to valuable business insights and cost-savings.

“With data integrity, you can better understand your supplier base and benchmark their performance,” said Klein. “When you designate factories and products by risk factor, you can adapt quality controls appropriately. For example, maybe lower-risk factories can manage self-inspections on their own. High-risk factories producing high-risk products require tighter controls. Over time, you’re able to maximize your resources and lower costs while increasing quality outcomes.”

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SAP.iO Foundry New York Kicks Off Supply Chain Management Program

May 24, 2023 SAP SE (NYSE: SAP) today launched the 2023 program focused on innovation in supply chain management at SAP.iO Foundry New York. The 10 startups have been selected by a jury of SAP experts, partners, customers, and investment funds to join the program. 60 percent of the startups are led by underrepresented individuals. 

A strong digital supply chain strategy is largely a “behind-the-scenes” organizational function. It can differentiate and enable companies to improve efficiency, effectiveness and be resilient to disruption in the supply chain. The SAP.iO program targets B2B startups with innovative supply chain solutions looking to integrate their solutions with SAP products including SAP S/4HANA, SAP Business Technology Platform and SAP Supply Chain Management software. ​ 

During the 5-month program, the selected startups work to build and develop long-term partnerships with SAP by defining joint use cases, product integration and various business development opportunities. SAP customers will evaluate opportunities for proof of concepts. 

The following startups are participating in the SAP.iO Foundry New York 2023 program: 

  1. AutoScheduler.AI creates optimal warehouse plans and feeds them directly into the warehouse management system (WMS), dynamically optimizing activities based on constraints to ensure that each site runs at peak performance. 
  2. DARVIS simplifies and automates processes using computer vision and geo-referencing for logistics and healthcare.
  3. Everstream Analytics delivers predictive insights and risk analytics businesses need to build smarter, more autonomous and sustainable supply chains. 
  4. MaintainX combines an intuitive mobile app and cloud technology to enable maintenance, operations, and safety teams to easily manage maintenance work orders, parts inventory, safety inspections, and other standard operating procedures in a single platform.  
  5. Morpheus.Network’s solutions help cargo owners, logistics service providers, and government agencies digitize, optimize, and automate their extended global supply chains. 
  6. Parsable is a connected workforce platform that digitizes frontline operations and empowers industrial leaders to increase efficiency, reduce costs and improve sustainability.
  7. Partsimony enables organizations to build intelligent manufacturing supply chains that are more resilient and sustainable by unifying engineering and supply chain data.
  8. Transmute‘s Verifiable Data Platform (VDP) digitizes the documents involved in global trade into verifiable credentials to streamline regulatory compliance, maximize business agility, and reintroduce identity, trust, and meaning into supply chains. 
  9. Vendia provides a data collaboration platform that increases supply chain visibility and enables real-time actions by all participants.
  10. Versed AI‘s cutting-edge AI delivers relevant, rapid and secure supply chain visibility, pinpointing your risks across multiple tiers.

About SAP.iO
SAP.iO curates a relevant and diverse startup ecosystem that extends the value of SAP solutions and meets the continuously evolving needs of our customers. Our programs provide dedicated support to the most promising startups as they launch and scale relationships with SAP and our global network of customers, partners, and employees. Since 2017, we have connected thousands of SAP customers with innovative enterprise software startups, helping them find solutions to their unique needs. For more information, visit http://sap.io/ 

Astræa Launches New Satellite Tasking Capabilities With Major Satellite Imagery Providers

Astraea, a platform for spatiotemporal data and analytics, announces a new ordering service offering access to advanced satellite imagery sources from providers like Planet Labs PBC, among others. With the launch of the ordering service, Astræa customers get scalable access to the most advanced commercial satellite imagery on the market.

“The advanced monitoring capabilities that are enabled by Planet’s tasking combined with Astræa’s spatiotemporal platform enable highly detailed monitoring applications related to elevating market intelligence in the renewable energy, commodity trading, and ESG sectors in particular”

By providing access to all of the world’s best imagery providers within a single solution and a flexible, pay-per-use pricing model, Astræa is making imagery-derived insights more accessible and an enterprise-grade space strategy more obtainable. The unique pairing of Astræa’s platform with the new ordering service helps position Astræa as an industry leader in strategic imagery collection and spatiotemporal analysis. Enterprises can now maximize the value of Earth observation (EO) by leveraging scientific imagery for broad analysis and zeroing in on risk and opportunity indicators with commercial imagery. Flexible delivery operations support integration into existing business systems and platforms.

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Geek+ robots picked 10 billion items in the past year

Geek+, the global leader in mobile robots, has announced that its combined worldwide fleet of robots picked ten billion pieces over the course of the past year. The company’s goods-to-person picking solutions deployed around the world have covered great distances, handled huge volumes of stocks, and, as a result, contributed greatly to the goals of making logistics more efficient and sustainable.

Yong Zheng, Founder and CEO of Geek+, said: “We are very proud of what we have achieved recently. The amount of merchandise that our robots have handled, coupled with the savings in time and energy, demonstrate that mobile robots are a technology for today’s problems and a brighter future.”

Geek+’s picking robots traveled more than 175 million kilometers throughout the year, which is more than the distance from the Earth to the sun. Each day, the number of items managed by Geek+ robots and warehouse management systems reached as much as 750 million.

These combined efforts saved Geek+ customers over 17,000 hours of laborious manual tasks during the year. By switching from manual operations to robotic automation, these Geek+ operators could replace inefficient logistics equipment with modern mobile robots that do not require electric lighting, heating, or air-conditioning. The result was a savings of over 16 million kilowatt hours of energy. This translates into 140 000 tons of carbon emissions: To transport the equivalent amount of coal would require 887 trains.

Over the past year, Geek+ has added new projects and expanded its collaboration with existing clients and continued to learn from its successes. The software behind Geek+’s warehouse management systems was optimized to boost robot efficiency by 15%. Geek+ will continue to improve and enhance its technology and expects further gains in sustainability and efficiency in 2023.

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3 Innovative Solutions Shaping The Future Of Agriculture

Getting food from the field to the table is a complex process. Exposure to pests, disease, or harsh weather can impact the quality of the crops. At the same time, climate change is leading to soil degradation and loss of biodiversity while insufficient land increases the pressure to produce more on less space.

At the recent SAP.iO Foundries Sustainable Agriculture Latin America Demo Day, three startups presented solutions that can help farmers improve the quality of their crops, optimize farming strategies through personalization, and improve biological capital by managing soil more efficiently. These tactics can all play a role in successfully feeding 9 billion people for the next decades.

Improving the quality of raw materials

“In the agricultural industries production plans are based on the quality of raw materials,” said Madeleine Valderrama, CEO and Founder of AI Bruna, a supply chain planning solution powered by artificial intelligence developed by AltumLab Chile. She explained that producers expect the quality of raw materials to be consistent, but reality is different. Because it’s impossible to predict quality with complete accuracy, planners deal with variability by improvising, which can lead to increased use of water and energy and up to 20% loss in profitability.

After eight years working in Chile’s salmon farming industry, Valderrama knew what kind of tools would be required to tackle this issue. AI Bruna uses artificial intelligence and genetic algorithms to factor operational restrictions, deficiencies, and defects into strategic harvesting plans. It connects Planning, Harvesting and Commercial areas, providing a strategic view of the entire operation.

Valderrama used the example of Caña Brava, a sugar cane producer in Peru that is using the tool. In the first stage, months before the harvest, AI Bruna uses historical data such as climate, performance, soil type, water usage, and fertilization patterns to predict the expected concentration of sugar in the harvested cane.

Next, it suggests modifications in irrigation or fertilization as the plants are maturing to make sure the cane will satisfy the commercial contract after the harvest. Thanks to AI, Caña Brava was able to reduce water and energy consumption by over 4% and costs by 11%, and increase production capacity by 7%, and the value of the cane as raw material by 17%.

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With AI, accurate demand forecasting is possible

Many businesses struggle with demand forecasting. Whether you run a small business or a large enterprise, the challenge of predicting customer behavior and stock levels never gets easier. Even major organizations like Target and Walmart that are able to afford teams of data scientists have recently reported struggles with excess inventory due to poor demand forecasting.

During this time of global uncertainty, many businesses have adopted a just-in-case mindset. They’ve relied on archaic methods of forecasting, scouring old data and drawing poor conclusions based on past problems.

But understanding demand accurately shouldn’t be so much of a struggle in 2023. Even as we battle post-pandemic turmoil, we now have clear alternatives to legacy forecasting tools — thanks to artificial intelligence (AI). And we don’t need endless reams of historical data to access the real-time patterns necessary to accurately forecast demand. In fact, AI-driven demand sensing has been shown to reduce inventory errors in supply chain management by up to 50%, according to McKinsey & Co.

Every company produces data, of course, but it’s almost all trapped in siloes and walled-point solutions that have evolved for specific tasks over many decades. Siloes emerge for noble reasons — they represent a business’s attempts to organize and become structured.

Truthfully, siloes are useful in many scenarios, but if the boundaries between them are too sturdy and there’s a lack of effective communication, siloes will negatively impact business, putting more pressure on processes. Inaccuracies are most common in silo-heavy organizations because teams and departments just don’t have enough of a shared language. Rigid siloes also make data, even good data, less credible.

When working with ThroughPut’s clients, I’ve seen AI make all the difference in demand forecasting. That’s because it can pull from disparate datasets, using real-time patterns to sense the demand around the corner rather than just assuming future demand from past events.

Using an AI-driven system will pick out time-stamped data — regardless of barriers — and rapidly stitch together a global vision of your virtual supply chain network. Supply chain AI processes the best signals from the noise that is constantly being generated by your disparate data systems and turns the din into a song you can understand.

Furthermore, AI is superior at analyzing and making sense of data in vast quantities; yet it also doesn’t need much information to learn. AI trained for real-world applications already intuits which data signals to extract from an ocean of noise, so it can solve needs before they cause problems.

The quality of data is most important, not the quantity, and delaying the use of AI to sense demand is only going to cause current supply challenges to stagnate and potentially get worse. From there, share prices and shareholders suffer. We are seeing this today across industries: innovation laggards and slow adopters paying the price for relying on old forecasting methods.

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Wise Systems Expands Delivery Automation Platform

Ultra-high-capacity and enhanced user experience ideal for broad range of industries, including couriers and distribution centers

Wise Systems unveiled an expanded version of its delivery automation platform that offers industry-leading, high-delivery capacity combined with further improvements to the easy-to-use interface. This latest edition gives route planners and dispatchers across industries an ideal mix of power, speed and automation to seamlessly manage large-scale delivery operations.

This enhanced edition of the Wise Systems platform is ideally suited for large-scale, high-volume last-mile delivery fleets across a range of industries, including couriers, retail, food, beverage and others. It is featured in the Wise Systems booth (Booth # 320) at Manifest 2023, a leading conference focused on the ecosystem of innovation and transformation in supply chain and logistics.

The Wise Systems platform expands the ability to route, visualize and manage stops to include large volumes, offering the most intuitive user experiences for planners and dispatchers. It also offers resource flexibility, easily accommodating hybrid workforce models such as a combination of gig workers and FTEs.

“Next-generation delivery software requires the perfect balance of automation and control,” said Chazz Sims, Wise Systems CEO and cofounder. “With additional capacity for high-volume industries, we’re streamlining planning and dispatcher roles, and complementing that with robust tools for managing the delivery day. This platform integrates with our clients’ last-mile ecosystems, and empowers their teams to improve operations while ensuring excellent customer service and driver experiences.”

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Camus Energy, Bidgely, and LiveEO identified as leading startups helping utility companies digitize and automate operations

Amid the shift to renewable energy, this Market Map looks at the tech providers helping utility companies like National Grid and Dominion Energy decrease costs while stabilizing power supplies on the grid.

The power grid is currently undergoing some of the biggest operational changes since the adoption of AC power more than a century ago.

The old power grid was centered around large, centralized, fossil fuel-based power plants located away from population centers as well as the use of transmission and distribution lines to connect power generators with power consumers.

Renewable energy sources like solar and wind are now challenging the fossil fuel-based nature of conventional power generation, while new distributed energy resources (DERs) like rooftop solar panels are shifting power stations to a more decentralized model. While these changes make the power grid more sustainable, new digitization and automation tech is required to bring these devices onto the grid in a way that is cost-competitive with conventional fossil fuel power generation.

SAP.iO startups Camus Energy, Bidgely, and LiveEO were identified by CB Insights alongside 146 startups as leading startups addressing 8 technology priorities for utility companies, from distributed energy resources to micro-grid/off-grid.

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Clarifruit raises $12 million to reduce waste in the fruit and vegetable industry

Clarifruit, a company developing a software platform for automated quality control for fruit and vegetable supply chains, has announced that it has completed a $12 million Series A round led by Champel Capital and Firstime Ventures with participation from Kubota, a provider of agricultural machinery and technologies, and NevaTeam Partners venture capital fund. It brings the company’s total funding to $15 million following a grant of $2.5 million received through Horizon 2020.

The company hopes to reduce waste in the fresh produce supply chain, an industry estimated to be valued at $2 trillion, and secure a sufficient food supply for future generations. Its solution addresses challenges in quality control and decision-making and the lack of standardized and objective quality control processes when assessing fruits and vegetables. It is estimated that this problem leads to a waste of 45% of the agricultural production in the industry, representing approximately $900 billion of loss every year.

“Since we launched our product 20 months ago, we have been able to make a significant impact and onboard tens of leading global players into our circle of clients that are now using Clarifruit’s advanced technology to automate their quality control and provide real-time info to reduce waste and maximize revenue opportunities,” said Elad Mardix, Co-Founder and CEO of Clarifruit.
Its platform has two elements: the first is a mobile app allowing quality inspects to conduct quality control processes in minutes. The second is a cloud-based control system that allows operation managers to monitor the process specific to their company and its goals, results, and insights all in real-time. It uses computer vision technology with Big Data and analytics capabilities to help retailers, wholesalers, marketing companies, and growers make data-driven decisions to reduce waste.

Inspiring Innovators: Leanne Kemp Founder and CEO of Everledger, On Transparency

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SAP.iO Foundries Sustainability Spotlight: Inspectorio Modernizes Manufacturing Inspections

The collapse of the garment factory in Bangladesh that killed more than 1100 people was a wake-up call to the manufacturing and inspection industries. The brothers behind Inspectorio are pioneering software to ensure transparency and worker safety.

It was a moment of truth. In 2013, the Rana Plaza garment factory in Bangladesh collapsed, killing more than 1100 people, injuring thousands of others and making headlines as one of the deadliest industrial disasters in history. Found in the rubble alongside bodies were tags and labels identifying well-known top clothing manufacturers. The companies generally claimed, believably, that they’d had no idea the workers had been made to work under such dangerous conditions. The accident—incongruous, inhumane, inciting disgust—shook the industry to its core.

What wasn’t so obvious: The solution.

Factory inspection and audit software provider Inspectorio, at the time, was just a twinkle in the Moncayo Castillo brothers’ eyes. Carlos, Luis and Fernando, Ecuadorian-born businessmen, had distinguished themselves in other areas, from their prestigious university educations to serial entrepreneurial track records founding companies internationally. They were well aware the supply chain issues they’d faced, however challenging and expensive, were minor compared to Rana Plaza’s human tragedy. But they believed the issues were all connected.

The inspections industry was rife with corruption and incompetence. The Moncayo Castillos had taken a step to address the problem when they’d brought inspections, which are often performed by third-party agencies, in house at Asiam, the responsible sourcing agency they co-founded in 2004. That was in 2011. The solution had been a success to the point that it led to a new Asiam division, one focused on performing inspections for other companies as well. Then one of those companies complained about an order from a manufacturer, in 2015.

The brothers found themselves unable to adequately answer this customer’s questions about why an inspection had led to subpar product quality. “The client said, ‘I need you to prove to me how your employees are performing inspections,” recalls Fernando. “But the fact is we didn’t have a tool where we could see, ‘This is the exact moment where the inspector was in this place. This is how many minutes, how many seconds they spent.’” Transparency and accountability were lacking.

It was an industry wide problem, the brothers knew. Even Asiam had been using nothing more than digital cameras, pens and paper to record information in factories and other facilities. They decided to change things for everyone—or at least give them the option to do better. The Castillo Moncayos created the Inspectorio platform initially as a simple app. Today, it’s a sophisticated software-as-a-service product used by companies including Target and Crocs to help with everything from quality control and production efficiency to meeting environmental rule standards. Instead of having information stored in separate silos by factories, suppliers, retailers, brands and inspectors, it’s all now, via the cloud, in one place. Inspectorio’s Machine Learning and AI capabilities offer analysis of the data that helps customers increase efficiency, reduce costs, and optimize eco-consciousness.

Inspectorio didn’t reach such heights on its own. The Moncayo Castillos took advantage of mentorship from Boulder-based TechStars, their VC-investors, and Apple along the way. But their recent participation in the SAP.iO Foundries cohort focused on consumer and retail sustainability was transformative.

“When we talk about brands and retailers it’s not a quality issue alone anymore that we need to be concerned with,” says Fernando. “We need to talk about responsible sourcing, and that requires companies to be compliant on the social side, the environmental side, and others. So we wanted to improve on sustainability, and SAP was already leading the way.” The brothers liked its commitment to issues like zero waste and decarbonization within its own ranks, but also the way it helps clients achieve such goals via access to tools from startups that take part in its accelerator. Such companies are featured in the SAP store.

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How SpecRight Digitizes Product, Packaging Specs for Greater Efficiency

Most product specifications — for the products themselves, their packaging, and other details — are managed in spreadsheets or legacy systems.

This results in data consistency and integrity challenges, access issues, and major efficiency problems. Without easy access to product and packaging data, employees aren’t able to make the quick, accurate decisions that are needed to remain competitive in the Acceleration Economy.

Those are the big issues that Specright took on with the launch of its company in 2015. “From automotive, to aerospace and food packaging, I saw that industries were struggling with inefficiencies that stemmed from a lack of packaging and product data,” says Specright CEO Matthew Wright. “I also realized any data that did exist was typically worthless because it lacked a common nomenclature. Not only was it frustrating, it was bad for business.”

The SpecRight platform is designed to digitize and manage all specification data, from raw materials to ingredients and formulas to packaging and finished goods. By digitizing and linking specifications together, companies create visibility and traceability across their supply chains. Today, more than one million products are in the Specright system, according to the company.

“From automotive, to aerospace and food packaging, I saw that industries were struggling with inefficiencies that stemmed from a lack of packaging and product data. I also realized any data that did exist was typically worthless because it lacked a common nomenclature.”

Matthew Wright, Founder and CEO of Specright

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SAP.iO Launches Resilient Supply Chain Startup Program in Collaboration with Accenture

April 06, 2022 SAP SE (NYSE: SAP) has launched a virtual startup program focused on building a resilient supply chain at the SAP.iO Foundries Munich and Tel Aviv. A jury of experts from SAP and Accenture, alongside SAP partners and SAP customers including Siemens, Porsche Digital selected 12 startups from four supply chain domains to join the program.

The program builds upon SAP and Accenture’s long-standing partnership and shared commitment to using technology to help the world build a more resilient Supply Chain. The startups in this cohort will receive curated mentorship, access to SAP technology and application programming interfaces (APIs), and exposure to SAP and Accenture customers to develop high-impact proofs of concept.

Supply chain operations often represent the greatest area for risk and loss in many companies. By their nature, supply chains are globally dispersed and complex in their functionality. This makes them especially vulnerable to risk. Resilient supply chain technologies reduce risk by allowing visibility into all operations across the network – and empowering businesses to optimize and adapt their processes and logistics in real-time.

To address these challenges in the world’s supply chains, SAP.iO Foundries Munich and Tel Aviv joined forces and introduced the “Resilient Supply Chain” program. The cohort is the largest to date. The startups will work with the Foundries as well as leading companies from various fields on integration and partnership with SAP.

According to Jan Gilg, President and Chief Product Officer SAP S/4HANA, “A resilient supply chain, with risk strategies in place, predicts, responds and recovers from unanticipated events by either returning to its original state or morphing into a state that is even better at profitably meeting customers’ needs. It is about using the right tools to make the right business decisions, even under pressure.”

Over the next 14 weeks, the startups will have access to curated mentorship from SAP executives, exposure to SAP® technology and application programming interfaces (APIs), and opportunities to collaborate with SAP customers around the world. Their work includes creating new partnerships and value propositions that help solve key supply chain challenges.

The following startups are participating in the program:

Business Planning & Resiliency

Transportation Management

  • MIXMOVE AS – Pushing the boundaries of performance, efficiency and sustainability in logistics.
  • Portcast – Real-time predictive visibility and demand forecasting

Warehousing and fulfillment

  • CognitOps Inc.  – Automate your warehouse management
  • Logidot – Optimize your industrial logistics and production with real-time tracking
  • Magazino GmbH – builds and develops intelligent, mobile robots that automate material supply in production logistics.
  • Picavi GmbH – Pick-by-Vision for cost reduction in your warehouse
  • Verity –  Information and insights when and where you need them–powered by self-flying drones

Last-Mile Delivery

About SAP.iO
SAP.iO delivers new partnerships and products for SAP by accelerating and scaling startup innovation as well as incubating employee ventures. SAP.iO brings together innovators from every region, industry, and line of business to transform how businesses run. Since 2017, SAP.iO has helped 300+ external startups and internal ventures accelerate their growth while enabling thousands of SAP customers to access innovation. For more information, visit http://sap.io/.

NavVis Adds Fresh Funding To Fulfill Its Mission To Digitize Commercial Buildings And Assets

NavVis is a global leader in end-to-end solutions for reality capture and digital twins. The company is on a mission to bridge the gap between the physical and digital world by enabling immediate access to building information, anytime, anywhere. The NavVis product offering includes the world’s most advanced reality capture solution, which allows for rapid digitization of buildings and assets, and cloud-based digital twin software for the manufacturing and construction sector.

NavVis announced that they have received 25€m of fresh equity funding that complements the recent 20€m debt funding from the European Investment Bank (EIB), raising the total investment to 85€m. The round was led by Cipio Partners, with additional capital from previous investors, BayBGMIG, Target Partners, Digital+ Partners, and Kozo Keikaku Engineering, making NavVis one of the best-funded deep tech startups in Europe.

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