Storage technologies are beginning to overtake traditional HDD and hybrid solutions thanks to decreased cost, increased performance capabilities, and increased reliability. As computing needs become more sophisticated, data centers are evolving to meet the growing demand for infrastructure that’s natively designed to handle AI, ML, and large-scale applications. VAST Data offers managed software and storage solutions that allow enterprises to adopt all-flash architecture for their data center needs in a turn-key, reliable solution. The pandemic accelerated digital transformation for many organizations, increasing the demand for data solutions, and VAST was able to close out 2020 at an impressive $100M annual run rate (ARR). AlleyWatch caught up with Founder and CEO Renen Hallak to learn more about the company, future plans, and latest round of funding led by Tiger Global.
Data and Analytics
Machine learning model development needs to be methodically, with extreme care, in order to yield effective results as unintended consequences can emerge at the various stages of model development. Flexible data ingestion policies allow companies to simplify ML model development by reducing the time needed for the model to teach itself and achieve greater levels of accuracies. However, enterprises are often unable to collaborate on model development as a result of the risk associated with data security in a model developed by multiple stakeholders. Cape Privacy is an encrypted learning platform that allows companies to collaborate on machine learning models without the risk of compromising any proprietary or sensitive data. The data remains encrypted throughout and can be plugged into models seamlessly, allowing data scientists to truly harness the power of machine learning with efficiency and unprecedented speed. AlleyWatch caught up with CEO Che Wijesinghe to learn more about the inspiration for the business, future plans, latest round of funding from investors that include Evolution Equity Partners, Tiger Global Management, Version One Ventures, Haystack, Radical Ventures, Ridgeline Partners, and Boldstart Ventures.
Market research provides a deeper understanding of customers and competitors but setting up research studies has traditionally been a cumbersome process. Ensuring that you have the proper range and scope, are sampling a representative population, and asking the right questions are common potential hurdles that take time to properly account for. This NYC startup makes it easier. Feedback Loop is an agile research platform that allows companies to rapidly and efficiently secure the data and information that they need through automation to identify new business opportunities, execute on go-to-market plans, learn more about their customers, and gather insight into where they are and are not succeeding. The technology-driven SaaS platform also empowers product and marketing teams to gather consumer feedback quickly without having to rely on a separate research team and without sacrificing the integrity of the data collected. AlleyWatch caught up with CEO Rob Holland to learn more about how the company accelerates the research process, the company,s future plans and latest round of funding from Crosslink Capital and Spider Capital.
The adoption of AI technologies in businesses increased from 48% to 72% from 2018 to 2019, enabling industries to increase efficiency, streamline processes, and reduce costs. But training these AI models to accurately reflect real-world conditions is a challenge for machine learning practitioners when developing an application from zero to production. AI.Reverie offers a suite of synthetic data and vision APIs, which provide annotated images and videos, to allow organizations to train their machine learning algorithms efficiently at scale and improve the accuracy of their AI efforts. The company, founded in 2017, has raised a total of $5.6M in funding to date and recently landed an impressive $950M contract to help the US Air Force enhance its computer vision capabilities for its Advanced Battle Management System. Aside from the defense industry, the company’s pioneering technology is also being used for urban planning, retail, agricultural, and industrial applications and AI Reverie grew 3x in 2020. AlleyWatch caught up with CEO and Cofounder Daeil Kim to learn more about the company’s vision to make AI sustainable and inclusive, future plans, and much, much more.
Starting an e-commerce business is easier than ever with a number of plug-and-play platforms like Shopify to alleviate heavy technical burdens. Starting a successful e-commerce business is a much more difficult task. It’s no longer a case of if you build, they will come. The most seasoned e-commerce operators recognize the importance of data analytics and how leveraging this data effectively drives sales and marketing through strategic customer acquisition, marketing mix, customer retention, social media spend, segmentation, and promotion strategy. Zenlytic makes uncovering valuable insights easier with its no-code analytics platform, built specifically for e-commerce and direct-to-consumer businesses. The platform makes it easy for operators and marketers alike to easily make data-driven decisions without technical expertise or the need to set up sophisticated queries. AlleyWatch caught up with CEO and Cofounder Ryan Janssen to learn more about how the data science consulting he was doing while pursuing his masters inspired the company, future plans, recent funding from investors that include Primary Venture Partners, Company Ventures, Correlation Ventures, and angels.
WPVIP, the provider of enterprise Wordpress solutions and a part of the Automattic (parent company to WordPress) brand has agreed to acquire Parse.ly, a real-time content analytics provider and personalized recommendation engine. The terms of the transaction were not disclosed.
I am sure many of you have used Google Trends in the past. But, for those of you that are not aware of this terrific tool, now is the time to learn how valuable it can be for your business.
We’d all like to be able to look into a crystal ball and tell the future. With the use of AI and machine intelligence, we are now able to more accurately produce trend forecasts that accurately mimic reality. NWO.ai takes this one step further. The platform combs through unstructured data to track 20M+ signals, adds a time dimension, eliminates noise, and prioritizes sources to identify microtrends and global cultural shifts. For example, the platform has recently considered and tracked possible geopolitical events and themes like will COVID-19 lead to war, will Bitcoin continue to rise, and the impact of the pandemic on Big Tobacco. AlleyWatch caught up with Cofounders Sourav Goswami and Pulkit Jaiswal to learn more about the company’s recent launch out of stealth, future plans, and recent round of funding from investors that include Hyperplane, Wavemaker, Colle Capital, Adit Ventures, and SuperAngel.
There’s been a growing movement towards outcome-based healthcare payments as we look to value-based care and providing the best care possible. This starts with selecting quality providers. Garner Health is a technology-driven platform that analyzes aggregate medical data to determine who the highest-quality physicians are by specialty, procedure and geography. Employees of companies that are partnered with Garner Health are able to go through this curated selection, filtered for availability and network considerations for upcoming medical visits. The platform also features a concierge service available through phone, chat, or email to provide additional guidance, if necessary. If the employee opts to use one of the preferred providers, then employers will cover all or a portion of any out-of-pocket expenses. The incentivization of employees in the short term to visit quality providers results in lower costs for the employer in the long-term, amounting to savings the company’s estimated to be at least 10%. Garner does not maintain any commercial relationship with healthcare providers and its determinations are completely on the basis of past treatment data, eliminating any bias or impropriety in the recommendations. AlleyWatch caught up with Founder and CEO Nick Reber (prev. Oscar Health and Bridgewater) to learn more about this innovative model to address rising healthcare costs, the company’s future plans, and latest round of funding from investors that include Founders Fund, Maverick Ventures, and Thrive Capital.
One of the key underlying factors that led to the economic crisis in 2008 was excessive risk-taking by banks and much of this was facilitated by lack of data, governance, and outdated processes. In the wake of these events, a number of new regulations were introduced and new technologies were born. dv01 is a fintech platform that focuses on providing complete transparency around the structured finance market down to individual loan level detail. AlleyWatch caught up with Founder, CEO, and restaurant owner Perry Rahbar to learn more about the company’s mission to address the fragmentation of data in the financial markets, the recent acquisition of Pragmic, and the company’s latest funding round from investors that include Pivot Investment Partners and AGNC Ventures.
It’s estimated that the total amount of data is expected to reach 59 zettabytes this year with 90% of that data created in the last two years alone. With such an exponential increase in data, companies are racing to protect the data they maintain and regulatory initiatives like GDPR and the California Consumer Privacy Act are formalizing standards. BigID is the data intelligence platform that leverages advanced machine learning and automation to allow customers to seamlessly protect sensitive data, be compliant will data privacy laws, and ensure compliance with data sharing requirements. The company offers a foundation product that provides companies with visibility of all their data across the data landscape and additional apps provide added intelligence and specialized insight into privacy, protection, and perspective. AlleyWatch caught up with Cofounder and CEO Dimitri Sirota to learn more about the data protection ecosystem the company has built, its future plans, and recent round of funding from investors that include Salesforce Ventures, Tiger Global, Glynn Capital, Bessemer Venture Partners, Scale Venture Partners, and Boldstart Ventures