“These are exciting times for us as we’ve seen steep growth over the past three years. We have built deeper capabilities across CPG, retail, manufacturing and pharmaceuticals, despite the market condition not being favorable in the US. So far, we have gained strong traction in the US and plan to expand our presence in the coming months. Our focus remains on building a world-class team based in the U.S., being close to our clients and further strengthening our capabilities. We are committed to laying a robust foundation across all business functions, with continued investments in research and development (R&D) and talent development,” said Chetan Alsisaria — CEO & Co-Founder, Polestar.  

Its ongoing investments in R&D and business development in the US market underscores its dedication towards innovation and transformative digital solutions in analytics and AI globally. Polestar harnesses cutting-edge data science, AI, and Generative AI to tackle industry-specific functional challenges. The aim is to deliver innovative solutions, augmented by Generative AI to extend decision intelligence beyond IT, empowering business leaders with intuitive tools for smarter, data-driven operations. 

The company is committed to talent development and plans to increase its headcount by three times in the US by the end of this year. Currently, Polestar has a team of over 600 employees globally and is committed to a 60 percent growth over the next year, taking its employee strength to 1000 employees. 

“Polestar has consistently attracted world-class data scientists, engineers and consultants to strategically meet the growing needs of our clients. We are focused on adding value to our clients spread across the globe and aim to hire across job roles such as data science, data engineering, data analytics as well as Generative AI among others over the next year,” said Asim Jamil, Head — Human Resources at Polestar.  

While it has built a strong leadership team in the US, and in recent months hired senior leaders to enable its growth, over the past year, senior executives, including the CEO have relocated from India to the US to strategically drive its expansion plans. 

The 12-year-old company has offices globally across Dallas, New York, London, Mumbai, Bengaluru, Noida and Kolkata. 

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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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Global supply chain solutions leader, AIT Worldwide Logistics, is pleased to announce the launch of its new artificial intelligence (AI) and data science team, a corporate-level department created to amplify the organization’s investment in data. The team will set the stage for the future implementation of next-generation AI tools to further enhance the company’s robust customer interface. To lead the new group, AIT’s Patrick Chew has been appointed to vice president, AI and data science.

“AIT is continually looking towards the future,” said Chairman and Chief Executive Officer, Vaughn Moore. “With the establishment of the AI and data science team, the company is prepared to capitalize on generative AI, natural language processing, machine learning, large language models, and other advancing technologies.”

Over the course of 25 years, Chew has helped numerous Fortune 500 companies improve their business intelligence, analytics, and data enablement. He most recently served as the head of Caterpillar’s enterprise data governance office. Since joining the company in January 2024, Chew has been responsible for directing data enablement efforts. He reports to AIT’s President and Chief Operating Officer, Keith Tholan.

“AIT leadership has made a significant commitment to transform our data, and we are delighted to have Patrick in a role where he can leverage his vast experience to guide our ongoing data journey for the primary benefit of our customers and teammates,” Tholan said.

“Data is a common denominator that informs and impacts every aspect of the business,” he added. “And at AIT, our investment in taking data enablement to the next level clearly signals that data is an integral pillar of the organization, with the new AI and data science team working to enable a new era of dramatic growth for the company.”

The AI and data science group is comprised of three key teams:

• Data enablement – leading a disciplined, firmwide process to reorganize existing data strongholds into next-gen-compatible assets that will build new levels of trust with stakeholders through increased efficiency and ever-improving solutions
• AI governance and data science – developing new AI business features with an emphasis on heightened accuracy and privacy protections for customers and teammates as the technology continues to mature and evolve
• Business intelligence and analytics – providing dedicated, centralized reporting and visualization needs across the organization

The AI and data science team is implementing a regimented approach to transform data across AIT’s global network, including steps to redefine core domains and enhance time-tested workflows. Data management based on a newly configured single version of truth will be well-positioned to support powerful new key performance indicators.

“Treating data as an asset involves rigorous efforts to reorganize and harness millions of inputs, which will be applied in meaningful ways to enhance business intelligence, boost efficiency and spur innovation,” Chew said.

“Ambitiously raising the bar to loftier heights for data quality and governance ultimately improves outcomes for stakeholders as we continue to earn our customers’ trust,” he added. “Our AI and data science initiative will further differentiate AIT with shippers and investors when compared to others in the freight forwarding industry.”

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Inc. recently revealed the debut of Kythera Labs to the ranks of the 2024 Inc. 5000, the annual list of the fastest-growing private companies in America. The prestigious ranking provides a data-driven look at the most successful companies within the economy’s most dynamic segment—its independent, entrepreneurial businesses. Microsoft, Meta, Chobani, Under Armour, Timberland, Oracle, Patagonia, and many other household-name brands gained their first national exposure as honorees on the Inc. 5000. 

Kythera Labs, a data technology company that unifies data science and data technology to enable higher fidelity in healthcare data for healthcare and life sciences organizations, ranked #73 in the Nashville metro area and #4,249 nationally in its first ever appearance on the Inc. 5000 list. 

“We’re incredibly proud to be recognized on the Inc. 5000 list among so many other successful companies,” said Jeff McDonald, CEO and co-founder of Kythera Labs. “Kythera’s mission is to help the healthcare industry innovate and reach answers faster and more cost efficiently. With the recent advances in technology, especially machine learning and AI, we’re excited to capitalize on our momentum by providing the solutions and data necessary to improve healthcare.”

Over the past five years, Kythera has steadily grown and become a trusted resource across the industry, building solutions that efficiently collect, organize, standardize, improve, and transform data—empowering the healthcare and life sciences industries to uncover insights that lead to better patient outcomes.

Most recently, Kythera received certification as a Qualified Entity from the Centers for Medicaid & Medicare Services (CMS). The CMS Qualified Entity (QE) Program (also known as the Medicare Data Sharing for Performance Measurement Program), enables certified organizations to receive Medicare claims data under Parts A, B, and D. Only 39 organizations are QEs and of those, only 23, including Kythera have access to nationwide data. Kythera data technology transforms multi-source data into answer-ready information, and access to the nationwide Medicare claims expands Kythera’s ability to help its customers innovate across the health care and life sciences spectrum.

For complete results of the Inc. 5000, including company profiles and an interactive database that can be sorted by industry, location, and other criteria, go to www.inc.com/inc5000. All 5000 companies are featured on Inc.com starting Tuesday, August 13, and the top 500 appear in the new issue of Inc. magazine, available on newsstands beginning Tuesday, August 20. 

“One of the greatest joys of my job is going through the Inc. 5000 list,” says Mike Hofman, who recently joined Inc. as editor-in-chief. “To see all of the intriguing and surprising ways that companies are transforming sectors, from health care and AI to apparel and pet food, is fascinating for me as a journalist and storyteller. Congratulations to this year’s honorees, as well, for growing their businesses fast despite the economic disruption we all faced over the past three years, from supply chain woes to inflation to changes in the workforce.” 

More about Inc. and the Inc. 5000 

Methodology
Companies on the 2024 Inc. 5000 are ranked according to percentage revenue growth from 2020 to 2023. To qualify, companies must have been founded and generating revenue by March 31, 2020. They must be U.S.-based, privately held, for-profit, and independent—not subsidiaries or divisions of other companies—as of December 31, 2023. (Since then, some on the list may have gone public or been acquired.) The minimum revenue required for 2020 is $100,000; the minimum for 2023 is $2 million. As always, Inc. reserves the right to decline applicants for subjective reasons. Growth rates used to determine company rankings were calculated to four decimal places. 

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WELL Health Technologies Corp. (TSX: WELL) (OTCQX: WHTCF) (“WELL“), a digital health company focused on tech-enabling healthcare providers, and HEALWELL AI Inc. (TSX: AIDX, OTCQX: HWAIF) (“HEALWELL“), a healthcare technology company focused on AI and data science for preventative care, are jointly pleased to announce WELL’s subsidiary OceanMD, a leading provider of healthcare technology solutions, and HEALWELL’s subsidiary Intrahealth Solutions (“Intrahealth“), a leading technology solutions provider specializing in electronic health records, have entered into a strategic partnership. The partnership enables HEALWELL’s Intrahealth to integrate with OceanMD’s eReferral system and make it available to healthcare facilities across Intrahealth’s extensive network, benefiting both providers and patients with more efficient and connected healthcare services.

Intrahealth’s integration with OceanMD will enable healthcare providers to send, receive, and manage eReferrals directly from their EMR, simplifying their workflows and improving patient care. OceanMD’s platform now handles over 120,000 eReferrals and eConsults monthly and has been pivotal in securing contracts with Ontario, British Columbia, and Nova Scotia for provincial deployments of eReferrals, eOrders, and eConsult requests. Building on OceanMD’s leadership in driving standards-based interoperability, this integration will allow Intrahealth to help streamline healthcare processes, reduce administrative burdens, enhance provider efficiency, and offer patients better access to their health data.

Dorian Prior, President of Intrahealth, commented, “Our partnership with OceanMD is a testament to our commitment to excellence in healthcare. By combining our expertise with OceanMD’s innovative eReferral system, we are poised to transform the healthcare landscape, making it both more connected and patient-centric.”

Jeff Kavanagh, CEO of OceanMD, commented, “We are excited to partner with Intrahealth and further extend the reach of our industry leading eReferral system to an enterprise EMR such as Intrahealth that is serving a number of important critical needs for our healthcare ecosystem and public sector at large. This collaboration underscores our shared commitment to enhancing the efficiency and accessibility of healthcare services through standards-based interoperability. Together, we are setting a new standard for healthcare efficiency and patient engagement, while helping to ensure patients receive timely and coordinated care.”

This initiative reflects the dedication of WELL Health and HEALWELL in advancing healthcare through intelligent solutions and represents a significant step in providing seamless healthcare experiences.

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Airbyte, the leading open data movement platform, today announced that its PyAirbyte open-source Python library, that was introduced in late February, has helped more than 10,000 AI and data engineers to sync over 6 billion records of data. Users have completed more than 221,000 PyAirbyte sync jobs, or over 10,000 syncs per week. PyAirbyte now boasts an average of 25,000 monthly downloads, according to metrics from the popular PyPi Python package repository.

Since its launch in February, PyAirbyte has seen an impressive 38 releases, averaging one update every three business days. This release cadence underscores the ongoing enhancements and active community engagement, with 17 contributors, 11 of whom are from the user community plus six Airbyte developers.

Significant community contributions have enhanced PyAirbyte’s capabilities, including the following features: Docker executor and networking support; integration with Apache Arrow; support for FastAPI and other web frameworks; an expanded set of BigQuery authentication options; and other numerous bug fixes and improvements.

Users extract data to populate AI frameworks like LangChain and LlamaIndex and facilitate building LLM-powered applications. Also popular among users is moving data from Amazon, Facebook, Google, Hubspot, and Salesforce to make data-driven marketing decisions. Next most popular is help desk or IT related with data from Jira, GitHub, and Zendesk. PyAirbyte consolidates data from various sources for analysis to improve decision making.

PyAirbyte makes it easy to move data across API sources and destinations by enabling Airbyte resources to be created and managed using code, rather than the user interface (UI), providing a natural fit into the coding workflow. Python users have access to Airbyte’s more than 250 data connectors – rather than having to build and maintain those themselves. Airbyte is the first to provide Python users this capability with availability of over 250 connectors.

“With a majority of existing data pipelines written in Python today, we expected PyAirbyte to be popular but it has exceeded our expectations,” said Michel Tricot, co-founder and CEO, Airbyte. “We’ve seen more than 150 unique data sources used to move data to destinations, like AI frameworks and data warehouses.”

Python is a popular programming language for data engineers because of its simplicity, versatility, and scalability. It also offers a wide range of libraries and frameworks for data manipulation, exploration, and visualization. Python easily integrates with tools commonly used in data analysis and data science, such as SQL databases, Hadoop, and Spark.

PyAirbyte is an addition to the Airbyte API and Terraform Provider, which enable programmatic management of Airbyte resources, streamlining workflows and integrating Airbyte configurations with existing data infrastructure. Other deployment models include Airbyte Open Source, Airbyte Self-Managed Enterprise, Airbyte Cloud, and Powered by Airbyte.

As part of the June 2023 PyAirbyte & AI Hackathon, 11 new feature contributions were accepted, further enhancing PyAirbyte and its AI-related connectors. Additionally, 25 new tutorials were created to help guide new community members to leverage PyAirbyte for generative AI use cases.

Airbyte makes moving data easy and affordable across almost any source and destination, helping enterprises provide their users with access to the right data for analysis and decision-making. With more than 900 contributors, Airbyte has the largest data engineering contributor community and the best tooling to build and maintain connectors.

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 Centific, the pioneering frontier AI data foundry, is thrilled to announce the appointment of Vasudevan (Vasu) Sundarababu as its Chief Data and AI Officer. This strategic move is poised to propel Centific’s already robust growth trajectory and reinforce its position as an industry leader in technological innovation.

Vasu joined Centific in late 2021 as the Senior Vice President and head of Digital Engineering, bringing with him over 25 years of experience building AI and Data platforms. His rich industry experience is bolstered by his time spent at the Indian School of Business Hyderabad, of which Vasu is a distinguished graduate. His significant contributions to Centific’s innovative platforms and AI data solutions have been pivotal to the company’s success, driving substantial advancements and market differentiation.

Venkat Rangapuram, CEO of Centific, commented, “Vasu’s visionary leadership has been a game-changer for us. His promotion to Chief Data and AI Officer is strategic for the entire trajectory of our company. Under his guidance, I’m confident that Centific will not only continue to lead the market but also accelerate our growth and scale new innovations that will set industry benchmarks.”

In his enhanced role, Vasu will spearhead the strategic direction of Centific’s data and AI operations, focusing on refining its flagship platforms—Centific Loop, Pitaya, and OneForma—and expanding its influence across global markets.

Reflecting on his new role, Vasu stated, “I am deeply honored by this opportunity to further influence the future of AI and data science at Centific. The landscape is ripe with potential, and I am eager to lead our talented teams to explore new horizons. Our commitment is to keep pushing the boundaries of what’s possible, ensuring that our innovations not only meet but exceed the expectations of our clients.”

This critical appointment comes at a time when Centific continues to stand at the vanguard of AI and data processing innovations. The tech industry is witnessing an unprecedented wave of opportunities for groundbreaking advancements. Centific’s focus on developing state-of-the-art data and AI platforms solidifies its commitment to driving substantial growth and ensuring the company remains at the forefront of the industry.

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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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