Vultr, the world’s largest privately held cloud computing platform, today announced that SQream, a leading data and analytics acceleration platform, has joined the Vultr Cloud Alliance, a partnership program consisting of industry-leading solutions enabling composable cloud services. By combining Vultr’s high-performance cloud compute, accelerated by NVIDIA GPUs, with SQream’s next generation, patented GPU-powered data processing, AI-driven enterprises can fast-track their data analysis and machine learning projects without the burden of traditional data processing limitations.

As organizations deploy AI, they face challenges with existing infrastructure and processes. According to a recent report commissioned by Vultr from 451 Research, part of S&P Global Market Intelligence, the vast majority (89%) of organizations – from those at the highest levels of AI maturity to those at more aspirational stages – expect to achieve advanced AI use in two years. However, they do list technical infrastructure as the second biggest challenge (after governance) to meeting their goals.

The cutting-edge data analytics solution that Vultr and SQream deliver addresses the challenges of processing large-scale, complex datasets crucial for driving advanced AI innovation. This powerful solution solves critical problems such as slow data processing, high operational costs, and the inability to derive timely insights from massive datasets. By leveraging advanced GPU acceleration, organizations can perform complex queries and analytics at unprecedented speeds, reduce infrastructure costs, and gain deeper insights for faster, data-driven decision-making. The integration supports seamless scalability, robust data ingestion, and efficient data transformation.

“Our partnership with Vultr through its Cloud Alliance will revolutionize how enterprises approach data analysis and machine learning projects,” said Ittai Bareket, Chief Alliance Officer of SQream. “With multi-layer parallel processing, comprehensive big-data lifecycle support, and enhanced data processing capabilities, Vultr and SQream enable organizations to achieve faster time-to-insight, seamless scalability for complex and large-scale analytics, and unparalleled flexibility and control. These advancements empower organizations to deliver sophisticated AI solutions more rapidly while pushing the boundaries of AI innovation.”

With the Vultr Cloud Alliance, organizations can customize their infrastructure stack with a composable approach, seamlessly assembling and scaling their modern cloud and AI operations on demand without worrying about vendor lock-in. SQream joins other alliance members, including Qdrant, a high-performance vector database with retrieval-augmented generation (RAG) capabilities; Console Connect, which facilitates private, high-speed networking for secure, low-latency data transfer; DDN for sophisticated AI storage infrastructure; and Run:ai, an advanced AI workload orchestration platform.

“Vultr continues to grow its Cloud Alliance to give customers easy access to all the best-in-class technology and tools they need to build and scale their cloud- and AI-native operations,” said Kevin Cochrane, CMO of Vultr. “This latest partnership between SQream and Vultr marks a significant step forward. By making it easier, faster, and less costly to analyze large and complex data sets, SQream and Vultr are clearing the way for a new wave of AI-driven innovation and transformation across industries.”

The partnership between SQream and Vultr opens up a world of possibilities for enterprises across financial services, telecom, healthcare & life sciences, retail, manufacturing, and other sectors. Such industry applications and use cases include:

• Data processing and big data analytics: Process and analyze data as it comes in – ideal for time-sensitive applications – and tackle vast datasets easily to enable comprehensive analysis and reporting.
• Cost-effective data management: Optimize data management processes to reduce costs while maintaining performance. With SQream’s GPU-powered architecture minimizing hardware requirements and Vultr’s predictable and affordable pricing model, organizations can significantly reduce the total cost of ownership compared to traditional solutions, allowing them to budget for other initiatives.
• High-performance computing and efficient data prep: Leverage the power of GPUs to accelerate complex analytics tasks and streamline data preparation and transformation to set the stage for more accurate analysis.
• Secure and compliant data processing: Ensure all data processing meets industry standards and regulatory requirements worldwide with Vultr’s secure cloud infrastructure – SOC 2 Type 2, ISO 27001, and PCI compliant – combined with SQream’s compliance features.

The Vultr-SQream partnership follows a steady stream of industry innovations delivered by Vultr within the half year to enable modern AI enterprise, including industry-specific cloud computing solutions that help companies meet industry-specific needs and regulatory requirements, Sovereign Cloud and Private Cloud to bring digital autonomy to nations and enterprises worldwide, and Cloud Inference for serverless Inference-as-a-Service across Vultr’s 32 locations around the globe.

To learn more about the SQream and Vultr partnership, visit us here.

For more information on the Vultr Cloud Alliance, visit here.

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 Mendel announced today that it has joined Google Cloud Partner Advantage as a Partner level partner for the Build Engagement Model, giving customers the ability to access Hypercube on Google Cloud Marketplace.

As a Google Cloud partner, Mendel offers healthcare and life science customers a suite of AI-powered tools designed to transform clinical data analytics workflows. Mendel’s Hypercube leverages an AI platform that couples large language models with a clinical hypergraph to unlock the vast potential of clinical data warehouses, enabling life science organizations to make more informed, data-driven decisions and improve patient outcomes.

Key features of Mendel’s Hypercube platform include:

• Hypercube Cohort: Rapidly create and refine patient cohorts with 5x increase in accuracy and scale.
• Hypercube Charts: Chat with medical records through a user-friendly interface, completing chart reviews with 30%+ more efficiency.
• Hypercube Analyst: Query clinical data with a low-code interface, enabling 10x faster querying.
• Hypercube Redact: De-identify and tokenize patient records with >99% accuracy.
• Hypercube Build-Your-Own (BYO): Customize AI co-pilots for specific data needs and challenges.

“Our partnership with Google Cloud marks a significant milestone in our mission to accelerate the adoption of AI in healthcare,” said Dr. Karim Galil, co-founder and CEO of Mendel. “By combining our innovative clinical AI technology with Google Cloud’s extensive computational resources and global reach, we’re empowering healthcare professionals to provide the best possible care for their patients through data-driven insights.”

“Bringing Hypercube to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the Hypercube on Google Cloud’s trusted, global infrastructure,” said Dai Vu, managing director, Marketplace & ISV GTM Programs at Google Cloud. “Mendel can securely scale and support customers on their digital transformation journeys.”

Life science organizations interested in leveraging Mendel’s Hypercube platform can now easily access and deploy it through Google Cloud Marketplace. To learn more about how Mendel is revolutionizing clinical data analytics, visit our marketplace listing here.

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Following a year of strong customer and market momentum – highlighted by Stephen Tsuchiyama’s appointment as CRO earlier this year and additional funding from existing and new investors that underscores the market’s confidence in the company and its vision – Apromore’s decision to bring on Brandee Sanders as CMO reaffirms the company’s commitment to sustained growth in 2024 and beyond.

“At Apromore, we aim to help organizations utilize their process data to create ongoing value for their business and customers. We strive to achieve so by exploiting the full potential of process mining, beyond mainstream capabilities” said Marcello La Rosa, CEO and Co-Founder of Apromore. “We are thrilled to welcome Brandee Sanders to Apromore as our new CMO. Her extensive experience and proven leadership in driving growth and market expansion will be instrumental as we continue to innovate and expand our leadership in the AI and process mining industry. With Brandee on board, following Stephen’s appointment and expansion of our product development and sales teams, I’m confident that Apromore will continue to deliver value to our customers.”

“Joining Apromore, a trailblazer in process mining and simulation with a cutting-edge AI vision and exceptional talent, is an extraordinary opportunity,” said Brandee Sanders, CMO of Apromore. “I am thrilled to be part of this innovative team and look forward to driving the company’s growth, nurturing a customer-focused environment, and showcasing the transformative business value that process optimization brings.”

Brandee Sanders is a distinguished CMO recognized for her achievements in building Go-To-Market (GTM) strategies, enhancing sales performance, leveraging AI and data analytics, and accelerating growth trajectories for SaaS scaleups. Her career highlights include driving significant revenue generation, facilitating successful exits and acquisitions, and guiding companies through successful IPOs, such as BlackLine’s debut on Nasdaq (BL).

Prior to joining Apromore, Brandee held pivotal roles at prominent organizations including BlackLine, Sony Music, and Observe.AI. She has consistently delivered transformative results, aligning marketing efforts with business objectives and fostering strategic partnerships with leading investors such as Zoom, Tiger Global, Softbank, Menlo Ventures, Scale Ventures, Nexus, Thiel Capital, among others.

In her role as CMO, Brandee will oversee Apromore’s global marketing strategy, focusing on expanding market reach, enhancing brand visibility, and driving customer engagement initiatives. Her appointment underscores Apromore’s commitment to leveraging top-tier talent to propel its leadership in the evolving landscape of process mining software solutions.

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Reliant AI, a provider of gen AI-powered data analytics software, announced today its launch out of stealth with $11.3 million in seed funding. The new capital was co-led by Tola Capital and Inovia Capital, with participation from angel investor Mike Volpi.

Reliant AI was created by leading Natural Language Processing and Reinforcement Learning  scientists and researchers Karl Moritz Hermann, Marc Bellemare and Richard Schlegel who led teams at DeepMind, Google Brain and EY Parthenon. They’re passionate about how generative AI can solve information challenges to reduce repetitive mental labor and accelerate decision making for enterprises. The company is initially targeting the biopharma industry and will use the new funding to hire engineering talent to expand its technology investment and footprints in Europe and North America.

“Information and data are a critically overlooked part of making the life sciences progress to bring about a better world. The sheer amount of menial labor involved in data-intensive industries today means that many highly skilled professionals are focused on wrangling data, rather than solving complex issues. We created an AI system that understands the life sciences to radically grow its capacity to perform research at scale,” said Karl Moritz Hermann, CEO and Co-Founder of Reliant AI.

Reliant AI’s first product, Reliant Tabular, is an AI workbench that is attracting significant interest across key business segments in the biopharma industry. The product helps life science analysts find scientific evidence for their decisions through automated systematic reviews, asset scans, comprehensive analyses, and a customizable data platform – with Reliant AI, anything can be queried.

Features of Reliant Tabular include:

• Proprietary ML models optimized to be experts in biopharma topics
• Comprehensive approach to fact-finding – maximizing recall so that nothing gets missed
• User interface that makes it quick and easy to reconcile generated results with ground truth evidence
• Answers in a report-ready format so that teams can collaborate on analyses

“The biopharma industry has a massive and underserved information need. Reliant AI blends cutting-edge research with domain expertise to create software that makes it possible for a day’s worth of data wrangling to be done in 30 seconds. Marc, Karl Moritz and their technical team bring together decades of AI expertise from the world’s best research groups, such as DeepMind, Google Brain, and Meta, giving Reliant the ability to really move the needle on the application of generative AI to hard data problems,” said Aaron Fleishman, Partner at Tola Capital.

“We see a significant market opportunity in the pharmaceutical sector, as companies strive to build and partner with new entrants to develop innovative solutions like those offered by Reliant AI,” said Steve Woods, Partner at Inovia Capital. “This notable demand in a large and growing market underscores the potential of AI to drive impactful advancements in the biopharma industry.”

“Reliant AI has significantly increased my efficiency by rapidly parsing relevant data, allowing me to focus on deeper analysis and faster turnaround times. This technology promises to revolutionize how early commercial assessments are conducted,” said Miguel Silva, Strategy Director at OMass Therapeutics.

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Presidio, a leading technology services and solutions provider, today announcedit has achieved both the Amazon Web Services (AWS) Generative AI Competency and AWS Data and Analytics Competencies. These specializations recognize Presidio’s proven expertise and customer success in delivering advanced, tailored solutions that leverage the power of Generative Artificial Intelligence (GenAI) and Data Analytics to drive meaningful business results.

“We’ve worked with Presidio for years and with their extensive AWS experience, they were able to fully modernize our Data Insight platform while making it more secure and scalable,” said David Cohen, Chief Product and Technology Officer at Greenway Health. “The engineers we work with at Presidio continuously invest in learning about the latest technology and find ways to make a positive impact on our business.”

“Achieving the AWS GenAI and Data and Analytics competencies demonstrate our team’s deep knowledge and ability to empower Presidio’s customers with innovative solutions at scale,” said Chris Cagnazzi, Chief Innovation Officer at Presidio. “We continually invest in our team to stay ahead of industry trends and leverage cutting-edge technologies to solve our customers’ most pressing business challenges, deliver value, and accelerate time to market.”

Achieving the AWS Generative AI Competency demonstrates Presidio’s technical proficiency and proven track record of helping customers achieve transformative outcomes using GenAI. This recognition highlights Presidio’s experience in enabling digital transformation strategies, augmenting customer experiences, delivering hyper-personalized content, streamlining workflows, and achieving actionable results powered by AWS GenAI technology.

The AWS Data and Analytics Competency further validates Presidio’s expertise in helping organizations effectively manage and leverage their data assets. Presidio’s strong track record in assisting customers with data collection, storage, governance, and analysis underscores its proficiency in delivering comprehensive data solutions on AWS.

The AWS Competency Program connects customers with AWS Competency Partners who possess deep expertise and deliver solutions seamlessly on AWS. These partners are instrumental in helping organizations of all sizes successfully adopt, develop, and deploy complex projects on AWS, following best practices. Learn more about Presidio’s AWS services and solutions here.

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definity today announced the general availability of its pioneering Data Application Observability & Remediation platform for Spark data analytics environments, marking a significant advancement in data operations. The company is also announcing it has raised $4.5 million in a Seed funding round led by StageOne Ventures, with participation from Hyde Park Venture Partners and additional strategic angel investors.

Faulty data operation and poor data quality cost an enterprise $12.9 million each year according to Gartner, highlighting the critical challenge for data engineering teams to maintain the reliability of data applications (data pipelines), optimize their performance, and prevent data downtime.

This is particularly urgent for enterprises deploying new AI initiatives, relying on accurate feature engineering and model fine-tuning. The problem is amplified tenfold in the Spark ecosystem, which typically involves heavy and mission-critical workloads and a more obscure infrastructure, but lacks modern observability tooling.

definity bridges this gap with the industry’s first data application native solution, providing in-motion and contextualized insights into data pipeline execution, data quality, and data infrastructure performance. Using a unique agent-based architecture, definity runs inline with every data transformation on the platform, establishing ubiquitous observability with zero code-changes—in on-prem, hybrid, or cloud environments.

Designed specifically for Spark-heavy environments, definity helps data engineers to proactively prevent data incidents, find their root-cause, and fix them—faster than ever before. definity also enables engineers to automatically monitor data applications’ performance, identify concrete optimization and saving opportunities across the platform, and easily optimize performance. This empowers enterprises to minimize downtime, increase engineering velocity, and reduce infrastructure cost.

The company was founded by CEO Roy Daniel, former product executive at FIS; CTO Ohad Raviv, former big-data tech lead at Paypal and Apache Spark contributor; and VP R&D Tom Bar-Yacov, former data engineering manager at Paypal. After experiencing the challenges of managing mission-critical data applications at high-scale firsthand, they built the solution they sought for the enterprise segment.

“Enterprise data engineers demand a new standard of observability that doesn’t exist today” said Roy Daniel, co-founder & CEO, definity. “Traditional data monitoring focuses on the symptoms, assessing data quality at-rest in the data warehouse, which is too out-of-context, reactive, and simply not applicable for Spark. definity fills this void by taking a completely new approach focused on the data application itself, observing in-motion how data is processed and how the infrastructure operates, making Spark applications human-readable.”

“Today’s enterprise data leaders face a serious pressure to ensure the reliability of the data powering the business, while increasing scale, cutting costs, and adopting AI technologies”, said Nate Meir, General Partner, StageOne Ventures. “But without x-ray vision into every data application, data teams are left blind and reactionary. definity is addressing this need head-on with a paradigm shifting solution that is both powerful and seamless for data engineering and data platform teams.”

The announcement comes on the heels of remarkable momentum for definity, which onboarded several global technology enterprises to its new platform this year.

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Leading providers in the U.S. and the United Kingdom use Lumeon’s Care Orchestration technology to lower costs, optimize clinician and staff time, enhance revenue, and improve quality and patient safety. Together with Health Catalyst, this acquisition aims to leverage Lumeon’s robust and market-leading platform and make it more intelligent through the application of advanced analytics, AI, and Health Catalyst Ignite data processing capabilities. Health Catalyst expects this combination will further strengthen and differentiate its core focus on clinical improvement and ambulatory operations, in addition to supporting its current and future Tech-Enabled Managed Services (TEMS) partnerships.

Health Catalyst also anticipates that Lumeon’s presence in the United Kingdom will strengthen its ability to expand and more effectively pursue new opportunities in the region and potentially in other international markets.

Health Catalyst CEO Dan Burton said, “We are excited to welcome the Lumeon team and work alongside them in support of our shared mission – to enable massive, measurable, data-informed healthcare improvement. Effective care management is an essential part of a patient’s clinical care journey, and the addition of Lumeon’s Care Orchestration to Health Catalyst’s existing technology and services offering will further enhance the analytics insights made available to providers seeking to transform clinical care.”

Lumeon CEO Robbie Hughes said, “By combining the Health Catalyst Ignite AI platform with our Care Orchestration technology, we will enable healthcare organizations to not only access data-driven insights at scale but now also automate the clinical actions needed to ensure those insights are translated into personalized care processes for patients and care teams, closing the loop for data-driven transformation and accelerating our shared flywheel further and faster than ever before.”

Health Catalyst funded the transaction with a mix of stock and cash. Additional details regarding the acquisition were included in Health Catalyst’s Quarterly Report on Form 10-Q for the fiscal quarter that ended June 30, 2024, and was filed with the Securities and Exchange Commission (“SEC”) on August 7, 2024.

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Agilisium has developed over 20 GenAI-powered data analytics solutions exemplifying the company’s innovative approach, enabling pharma organizations to unlock deeper insights, and accelerate research and development cycles; thereby bringing life-saving treatments to patients more efficiently. Furthermore, Agilisium’s solutions and accelerators can be accessed through the AWS marketplace.

Commenting on the achievement, Mr. Raj Babu, Founder and CEO of Agilisium said, “Earning the AWS Life Sciences Competency status is a significant milestone for Agilisium. This achievement reflects our team’s unwavering dedication to understanding the complex challenges in the pharma industry and developing solutions that effectively address them. By harnessing the power of our GenAI solutions, we are confident that we can usher in a new era of data-driven discovery and innovation in life sciences. Additionally, this recognition would enable our clients to transform data into meaningful insights, ultimately delivering life-changing therapies to patients faster, globally.”

As one of the few AWS-certified Data Analytics partners with specialized expertise in the pharmaceutical industry, Agilisium is uniquely positioned to offer a wide range of AWS services tailored for the Life Sciences industry. This includes generative AI solutions, advanced analytics, data lakes, and machine learning, among several others. The company also offers AWS’ MAP (Migration Acceleration Program) funding program and No-Cost Assessment program for its clients which significantly helps clients to accelerate faster Cloud Transformation journeys.

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Applied Systems^® today announced the general release of Epic Dashboards, embedded analytics within Applied Epic^®, for users in the U.S. and Canadian markets. Epic Dashboards democratizes access to the vast data captured in Applied Epic, organizing it into insightful visualizations tailored to help leaders and team members across the agency understand trends within an agency’s book of business, employee workload balance, and preferred carriers.

“My first big ‘aha!’ moment with [Epic] Dashboards was when [a carrier] announced they were exiting the market, [and] our CEO asked me how this would impact us,” said Sarah Klapperich, Vice President, Client Experience, McClone Insurance, speaking on their participation in an early access program to help refine the design of Epic Dashboards. “Historically, I would have reached out to my IT department and asked them to run a report, but because we had Dashboards, I could pull it up myself and [provide an answer] within 30 seconds. It was a really big win to access data in real-time on my own.”

Across all stages of the insurance lifecycle, relevant information for a specific job role is presented in an easy-to-understand visual format to help users double-click into what’s happening with their business, teams, and workflows. Whether an individual contributor, team leader, operational admin, or agency owner is exploring pertinent customer and operational data, Epic Dashboards delivers a core set of capabilities, including:

• Flexible Performance and Operating Metrics Views: Each dashboard is designed to be filtered by various views, including branch, department, profit center, dollars (estimated, annualized, billed), premium, and commission, at the time interval that makes sense for the agency’s business, making it easy for users to consume information in the way that best meets the organization’s operational structure.
• Pulse Dashboards: A high-level landing page summarizes the performance, organizational productivity and other critical business data available and most relevant to a user’s role and easily drills down into specific customer details or links to other related dashboards within the persona, saving time and clicks to sort through unnecessary data.
• Data Delivery and Scheduling: Data is exportable into preferred formats like PDF, CSV, or PNG that can also be scheduled to deliver via email on a cadence that makes sense to inform decision-making at the moments that matter.
• Alerts: Alerts can be configured at the individual dashboard level for conditions such as expiring policies, overdue activities, or book of business goals, notifying users when a potential action needs to be taken.
• Data Quality Dashboards: Data quality dashboards provide views into specific data points in the system that are potentially incomplete or have incorrect data such as invalid employees, policies missing estimated premium, and active clients with no in-effect policies, to validate key points of data quickly without creating multiple reports.
• Custom Dashboard Builder: Asset Builder provides support for creating custom dashboards based on the organization’s unique needs in situations where pre-built dashboards do not answer critical agency-specific questions, providing flexibility to create visualizations that provide insights into data important to your insurance agency/brokerage.

“Applied’s vision for data analytics is to provide best-in-class data and analytics solutions that help agencies understand what is happening in their business, make data-driven decisions, and create more intelligent and connected workflows to automate next best actions,” said Anupam Gupta, chief product officer, Applied Systems. “Epic Dashboards is the next important milestone in unlocking data from the foundational agency management system to create simple, visual value so agencies can make smarter decisions across the business that positively impact their sales pipeline, financial performance, and carrier relationships.”  

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NEXUS offers a comprehensive suite of features, including real-time video analytics, vehicle tracking, driver behavior monitoring, predictive risk alerts, and customizable reporting. This state-of-the-art platform is set to redefine fleet management by enhancing operational efficiency, reducing costs, and improving safety standards across the board.

Built on the latest technology from Amazon Cloud and designed to be theoretically infinitely scalable and process data at lightning speeds. One key feature is the smart custom reports designed to give back time to fleet managers so they can focus on their core responsibilities. Since the inception of IdriveAI, we have constantly refined and listened to feedback from our clients and partners, NEXUS truly is a game-changer in managing risk in fleets in real-time. All our current customers will benefit from a free upgrade from IRIS to NEXUS, starting in August.

“We are excited to introduce NEXUS to the market,” said Calin Mihalascu, Chief Revenue Officer at IdriveAI. “Our new platform is designed to empower fleet managers with the tools they need to make informed decisions, streamline operations, and enhance overall fleet performance. NEXUS represents a significant leap forward in fleet safety management technology, combining real-time data and AI to deliver actionable insights that drive results.”

Key features of NEXUS include:

• AI-Driven Insights: Harness artificial intelligence to gain deeper insights into fleet operations and optimize performance.
• Real-Time Tracking: Monitor vehicle locations and movements in real-time for enhanced visibility and control.
• Driver Behavior Monitoring: Analyze driver habits and provide feedback to promote safer driving practices.
• Customizable Reporting: Generate tailored reports to meet specific business needs containing action items for a more efficient operation.

IdriveAI invites fleet managers and industry professionals to explore the capabilities of NEXUS and discover how it can transform their fleet management practices.

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