SAP.iO Fund Invests in Andjaro, an Internal HR Staffing Marketplace Connected to SAP SuccessFactors Solutions

SAP SE (NYSE: SAP) today announced that its investment arm, SAP.iO Fund, has invested in second round funding of Andjaro, a Paris-based company that provides real-time workforce optimization and helps manage and staff remote workers. The €13.4 million Series B round was led by Idinvest Partners and includes existing investor Balderton Capital.

Andjaro helps companies redeploy employees internally and works with SAP SuccessFactors solutions. SAP works with Andjaro to provide SAP customers with a real-time overview on staffing gaps, employee skills, availability and proximity to propose voluntary redeployment for a short period of time. SAP.iO Fund previously invested in the Balderton-led 2018 Series A round.

“SAP customers are continually exploring how to best allocate their most valuable resource — their talent — especially in the current environment,” said Ram Jambunathan, SAP senior vice president and managing director of SAP.iO. “Andjaro’s platform can provide enterprises with new opportunities to redeploy existing human resources efficiently.”

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How AI And “Gaze Control” Will Help Businesses Reopen Safely

Recent projections by the US federal government estimate that there will be 200,000 new coronavirus cases in the US  by June 1. At the same time, governments around the world are grappling with the complexities of safely reopening businesses, schools and other public institutions.

Technology companies are rushing into that gap with software aimed at keeping people safe, while citizens navigate a patchwork approach to easing shelter-in-place orders. One well-known approach is the use of contact-tracing apps on smart phones created by tech and telecom companies. These apps alert people if they’ve been in close proximity to an infected person.

But other technologies can help. When businesses and other institutions open up, they will need to do a lot of things differently. A new technology called “gaze control” allows people to avoid touching surfaces, like ATM display screens or subway-fare vending machine, that may be potentially contaminated with the virus. Stephan Odörfer is founder and managing director of Munich-based 4tiitoo (pronounced “42”), a startup that creates gaze control technology. Put simply, this technology lets people use their eyes to interact with computers, replacing the need to touch a keyboard, mouse or screen.

Moreover, 4tiitoo has combined gaze control with AI to analyze patterns in users’ eye movement and predict what people want to do next within a particular computer screen or application. “Gaze control allows you to do two things. It controls the computer and we can use it to get an understanding of what the user actually wants to do, “said Odörfer. “By understanding intention, we can proactively support him.”

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Marketing data platform Adverity raises $30M Series C led by Sapphire Ventures

In the time many of us live in now, we all know our online media consumption is — to state the obvious — going through the roof. Subsequently, the amount of data pertaining to online marketing is, equally, reaching stratospheric heights and in recent years tech companies like Datorama and Funnel.io, SuperMetrics and Adverity have appeared to give marketeers a data intelligence platform to deal with the welter of spreadsheets and reports necessary to track everything.

Last year, Vienna HQ’d Adverity closed an €11 million Series B funding round for its AI-driven platform to produce actionable insights in real-time for marketers.

Today it’s announcing a Series C financing round of $30 million, bringing the total amount it has raised to $50 million. The latest funding round is led by Valley-based Sapphire Ventures . Also participating is Mangrove Capital Partners, Felix Capital, SAP.iO and aws Gründerfonds who have all re-invested in this latest round. 

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Adverity raises $30 million to collect, prep, and analyze marketing data

Adverity, a data analytics startup targeting applications in media, marketing, and ecommerce, today announced that it raised $30 million in equity financing, bringing its total raised to $50 million.

By accelerating R&D and growth within Adverity’s offices domestic and abroad, the fresh capital could help the company’s customers — among them Ikea, Red Bull, Unilever, MediaCom, and IPG Mediabrands — address the challenges AI and machine learning present with respect to productization. According to Algorithmia, 50% of companies spend between 8 and 90 days deploying a single AI model, with 18% taking longer than 90 days

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SAP.iO Fund Invests in Deepgram for Gleaning New Insights from Speech

SAP.iO Fund, the startup investment arm of SAP SE (NYSE: SAP), has taken a stake in in Deepgram, provider of a high-accuracy automatic speech recognition solution that can be easily trained to understand new language models, accents and speech patterns.

With a new approach to speech recognition, Deepgram’s flexible API architecture enables real-time transcription for customer support, sales engagement and video/phone interviews and makes them searchable. Wing Ventures led the Series A round, which included existing investors Nvidia, Y Combinator and Compound.

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Israeli startup Revuze raises $5 million Series A for customer analysis software

Israeli market research startup Revuze has raised a $5.1 million Series A round led by Maverick Ventures (Israel), with support from existing investor Prytek.

Revuze has built a machine-learning system to analyse customer opinion, providing market insights on a user’s own products and brands, as well as any competitors. Standard reports such as Net Promoter Score (NPS) and consumer satisfaction (CSAT) are also included.

The startup says the software allows business owners to make decisions without the help of specialists such as analysts, data scientists, and information technologists.

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Deepgram Raises $12m in Series A funding

Deepgram, a San Francisco, CA-based speech recognition platform for the enterprise, raised $12m in Series A funding. The company, which has raised $13.9m to date, intends to use the funds to expand operations and its business reach. Founded in 2015 by Scott Stephenson, CEO, Deepgram uses end-to-end deep learning technology built with GPUs to provide companies and individuals with automatic speech recognition (ASR) that is powered by advanced, multi-layered machine learning technology. Its current product, Deepgram Brain provides transcription and audio search capabilities for individuals and enterprises. Since going to market, Deepgram has amassed more than 30 customers across the call center, retail and tech industries.

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Enterprise Speech Recognition Startup Deepgram Raises $12M

Speech recognition technology startup Deepgram has closed a $12 million Series A funding round led by Wing VC along with NVIDIA, Y Combinator, and other investors. The funding comes as the company debuts new features for its enterprise-focused automatic speech transcription and analysis platform.

Deeper Learning

Businesses are growing to rely on artificial intelligence to record, transcribe, and analyze phone calls, meetings, and other audio. The speed and low cost of using AI can make up for the errors and sometimes imprecise analysis that results. Deepgram claims its approach can outperform the industry standard without sacrificing the speed and cost benefits.

“The old way of doing speech recognition is not going to be the same as future versions,” Deepgram CEO Scott Stephenson told Voicebot in an interview. “The heuristics model of speech recognition has too many flaws; it’s why I wanted to start Deepgram. When we began, we decided to start from scratch with end-to-end deep learning.”The AI now can learn their jargon, learn the background noises at their meetings, and learn their natural cadence of speaking.”

Almost five years after its founding, Deepgram’s platform now offers multiple price points depending on just how precise the client wants the transcription and analysis to be. Stephenson explained that because Deepgram is built on deep learning rather than heuristics, adjusting precision is relatively straightforward, and the standard version platform can outperform most other options.

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Deepgram raises $12 million to train custom speech recognition models for businesses

Deepgram, a Y Combinator graduate building tailored speech recognition models, today announced it has raised $12 million in series A financing. CEO and cofounder Scott Stephenson says the proceeds will bolster the development of Deepgram’s platform, which helps enterprises to process meeting, call, and presentation recordings. If all goes according to plan — if Deepgram’s scale eventually matches that of the competition — it could save organizations valuable time by spotlighting key results.

Deepgram leverages a backend speech stack that eschews hand-engineered pipelines for heuristics, stats-based, and fully end-to-end AI processing, with hybrid models trained on PCs equipped with powerful graphics processing units. Each custom model is trained from the ground up and can ingest files in formats ranging from phone calls and podcasts to recorded meetings and videos. Deepgram processes the speech, which is stored in what’s called a “deep representation index” that groups sounds by phonetics as opposed to words. Customers can search for words by the way they sound and, even if they’re misspelled, Deepgram can find them.

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Deepgram Blog: We raised $12 million to solve speech recognition in the enterprise

The excitement around speech recognition is real: it has the potential to power the next wave of modern applications and give businesses and vendors a competitive advantage. But, with excitement comes misaligned expectations. Speech recognition is a messy, tough and persistent problem for enterprises, one that has languished under existing technology providers for decades. At Deepgram we have been working to change that by rebuilding speech recognition from the ground up. Today, we celebrate a key milestone on our path with a $12 million Series A round led by Wing VC, with participation from NVIDIA, Y Combinator, Compound and SAP.iO.

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ClearMetal Launches Next-Generation CDX Platform 2.0

ClearMetal, a leader in Continuous Delivery Experience (CDX) for Supply Chain and Logistics solutions, announced today the launch of its transformational CDX Platform 2.0. This next-generation Software-as-a-Service (SaaS) platform transforms supply chain delivery and experience using patent-pending data science and machine learning. This launch adds a number of new collaboration and planning capabilities across multiple transportation modes beyond ‘ocean freight’– all which drive ROI and Amazon-like customer-centricity for the world’s largest supplier, manufacturer and retailer supply chains.

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SAP.iO Hosts Investing x Women with Stanford Women’s Network of New York

On Thursday, February 27, Joanna Maryewska, Principal at SAP.iO Fund hosted an event with Stanford Women’s Network of New York launching an initiative “Investing x Women” at SAP.iO Foundry New York.

After an introduction to SAP.iO Foundries’ mission, the event kicked off with a discussion on diversity on startup boards and why it increasingly matters to founders. Joanna was joined by Alexa von Tobel (Founder and Managing Partner at Inspired Capital), Rebecca Kaden (Managing Partner at Union Square Ventures), Jemma Wolfe (Head of Launch with GS). As only ~2% of VC funding went to female-only founding teams and ~10% to mixed gender teams, the discussion involved discussing ways to approach challenges and common biases – at the industry, organizational and individual level. As research points out – the best way to drive change is by addressing the structural and process-based factors. Therefore the discussion focused on actions to increase the number of women in VC with the goal of bringing more role models, and harnessing the power of professional networks.

Investor panel was followed by a conversation led by Alison Wyatt (Co-Founder and CEO of Female Founder Collective – network built by Ali and Rebecca Minkoff). Three members of FFC joined the discussion on Women collaboration networks: True value beyond the buzz. The guests (Gina Hadley – The Second Shift, Jennifer Justice – The Justice Department, Tina Wells – Buzz Marketing Group) shared their advice on how to make the most out of the professional networks, and how FFC has been supporting them in their entrepreneurial endeavors.  

We also received flowers from Repeat Roses – a zero-waste company disrupting single-use-straight-to-landfill floral business. Its signature service transforms event flowers into bouquets that brighten hospitals, nursing homes, and shelters—then composts the blooms to keep waste out of landfills and ensure a closed loop solution. To date, they have donated over 53,000 arrangements on behalf of their corporate and wedding clients, and have diverted over 198,000 pounds of waste from winding up in North America’s landfills – and their customers receive data on environmental impact as well. 

The event concluded with Joanna and other board members of Stanford Women’s Network inviting the attendees to continue being involved throughout the next events and small group dinners planned as part of the Investing x Women initiative. 

SAP.iO Fund Invests in Hasura, Provider of GraphQL Access to Data Sources

People mingling in conversation

AP.iO Fund, has invested in Hasura, a San Francisco and Bangalore-based company that provides data access and data flow tools and services via GraphQL APIs.

SAP will work with Hasura to enable support for SAP HANA as well as offer native GraphQL capabilities to the SAP Cloud Platform Integration Suite. The Series A round was led by Vertex Ventures and includes existing investors Nexus Venture Partners and Strive VC, among others.

Hasura’s event engine makes it easy to integrate cloud-native/serverless business logic to the GraphQL API. Hasura automatically generates real-time GraphQL APIs using declarative metadata configuration and authorization policies for consumers. Organizations can use GraphQL in production and mission-critical applications alongside existing and modern cloud-native infrastructures without the significant cost of building and maintaining a GraphQL server.

“SAP has a strong community of partners and customers building applications on SAP Cloud Platform,” said Ram Jambunathan, senior vice president at SAP and managing director of SAP.iO. “Together with Hasura, SAP can extend and support data access for GraphQL, helping our customers expand their SAP solution capabilities as part of their intelligent enterprise transformation.”

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