At Integral, we are thrilled to share the exciting news of the successful completion of our $6.9 million seed round! This achievement marks a significant milestone in our ongoing mission to transform the landscape of healthcare data accessibility and compliance. The infusion of funds we've received will be instrumental in advancing Integral's core objectives, which revolve around safeguarding sensitive health data and delivering cutting-edge, automated expert certification software. We aim to empower health and life sciences companies with expedited access to compliant, invaluable, and de-identified data, reducing the wait time from months to near real-time. 

This journey was made possible through the support of our lead investors, Haystack, The General Partnership, and Virtue Ventures, along with the invaluable contributions from Also Capital, Array Ventures, Caffeinated Capital, GreatPoint Ventures, LiveRamp Ventures, and Venrex. 

We are also fortunate to have garnered backing from industry luminaries who are experts in healthcare and technology. Our esteemed advisors include Jason Brenner, Regional Vice President for Healthcare and Life Sciences at LiveRamp, and Dr. Bradley Malin, Vice Chair for Research and Professor of Biomedical Informatics at Vanderbilt University. Our circle of angel investors is equally impressive, featuring Andrew Arruda, co-founder and CEO at Flexpa; Abhishek Chandra, co-founder and CEO at Recora Health; Joel Jewitt, co-founder and Vice President at LiveRamp; Michel Tricot, co-founder and CEO at Airbyte; Sam Whitaker, founder and CEO at Mural Health; and other notable individuals who share our vision and enthusiasm. 

Shubh and I created Integral with a shared vision: Allow healthcare companies to work with healthcare data at unprecedented speed by de-identifying and certifying data through automation. Before Integral, companies were forced to rely on labor-intensive expert certifications performed by consultants, a time-consuming and manual procedure that often spanned several months and left usable data untapped. Integral changes the game by providing higher quality data and expert Certification-as-a-Service software, enabling customers to work with better data in nearly real-time. 

"Integral addresses a critical need for data privacy automation within life sciences and healthcare organizations, and we see this as a core workflow for these large customers over the coming years," said Aashay Sanghvi, Partner, Haystack. "By streamlining privacy compliance, Integral enables companies to operate with data safely and expediently, which helps them get new treatments to market faster and serve patients better." 

Integral streamlines dataset creation by automating the de-identification and compliance certification process. Personal and highly revealing healthcare data such as medical records, health histories, and genetic information, when combined with non-healthcare data such as social media activity, purchasing history, and location data, give researchers a deep, holistic understanding of a person's health and lifestyle. While this combined data set enhances healthcare research and improves health outcomes, it can pose a significant threat to people's privacy by potentially exposing sensitive information about individuals. 

"Combining healthcare and non-healthcare data can transform healthcare research and innovation. John and I asked why healthcare companies couldn't buy and analyze data as quickly as retailers like Target or Walmart, and we've made that possible with Integral. We've proven and will continue to prove that speed, accuracy, and privacy can be treated equally, even when working with highly regulated data," said Sinha. "We created Integral to achieve this goal, ensuring personal information is protected and people's privacy rights are respected. By prioritizing privacy and building trust with the public, researchers can unlock more value from data, which leads to better clinical trials, medications, products, technologies, and more." 

We've already brought on highly experienced healthcare expert Timothy Nobles, who shares 18+ years of experience in large-scale, privacy-preserving data solutions in Healthcare and Fintech. Timothy will bolster commercial efforts as we broaden and scale go-to-business capabilities in its key markets and further develop proprietary platform capabilities with this new round of funding. 

According to Amruta Moktali, Chief Product Officer at Skyflow, an Integral partner, "We are seeing incredible momentum for adoption of LLM in regulated industries like healthcare. Skyflow's data privacy vault offers a complete data privacy layer for LLMs. Our partnership with Integral allows our customers to get expert certification in days rather than weeks and months." 

Our team will be attending Pharma East 2023. If you're interested in setting up meetings with us, please <a href="mailto:shubh.sinha@useintegral.com">email shubh.sinha@useintegral.com</a>.
 
View the press release in its original form <a href="https://www.businesswire.com/news/home/20230905136194/en/Integral-Secures-6.9-Million-Seed-Round-led-by-Haystack-to-Maximize-Data-Privacy-and-Quality" target="_blank">here</a>.

Exciting News! Integral Secures $6.9 Million in Seed Funding

We are thrilled to announce a significant milestone for Integral - the release of our first open-source project: Robin AI. This exciting development tool embodies our commitment to fostering technological innovation and the collaborative spirit intrinsic to the open-source community. 
 
Named after Batman's dependable sidekick, Robin AI represents the invaluable support and assistance that this tool offers to engineering teams, just like Robin does for the Dark Knight. Integral originally developed Robin AI as an internal solution to enhance the performance and resilience of our code. Since its inception, Robin has significantly increased our product development speed and considerably minimized the occurrence of production bugs, thereby enabling us to deliver top-tier software solutions with greater efficiency.
 
Witnessing Robin's impactful contribution to our development process, we couldn't help but wonder - what if we could extend these benefits to other engineering teams and projects? To turn this idea into reality, we decided to package Robin AI as an open-source project, thereby equipping engineering teams with the ability to automate their own code review processes.
 
One of the most striking features of Robin AI is its eerily human-like feedback. Robin will review your code changes and provide constructive feedback to help improve your code. It shines particularly brightly when used with JavaScript repositories, but by design is able to be integrated into any coding environment.
 
Robin AI leverages the power of GPT to understand and analyze your team's code changes. Packaged as a Github action, it is incredibly straightforward to set up and use, allowing you to start benefiting from its features right away.
 
We are humbled and excited by the early adoption and feedback we've received for Robin AI. Already, it has gained 14 stars on Github, and it is being used in three public projects and numerous private repositories. Users have praised its utility and the quality of its insights, a testament to the potential of Robin AI.
 
We invite you and your engineering team to experience the benefits of Robin AI. Try it out on one of your repositories, and we guarantee that you'll appreciate the enhancement it brings to your development process. We also encourage you to share your feedback with us, as it helps us to continuously refine Robin and make it even more beneficial for its users.
 
We hope you will consider supporting the project by giving it a star on Github. Your endorsement not only recognizes the efforts of the team behind Robin AI but also helps spread the word in the open-source community.
 
<center><a target="_blank" 
 href="https://github.com/Integral-Healthcare/robin-ai-reviewer">View the project here</a></center>
 
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Introducing Robin AI: Integral's first open-source project

Companies across digital health, life sciences, insurance, and other health verticals are seeing massive growing repositories of healthcare, social, lifestyle, demographic, geographic, and other types of data. These types of data reveal tons of insights about populations at the individual level. For example, analyzing wearable data in combination with prescription data can provide a holistic picture of a person&rsquo;s health and habits; this analysis can produce better preventive care. By doing this at scale, companies can uncover new insights, identify patterns, and improve healthcare outcomes for potentially millions of people, or even billions. However, this combination of sensitive data types also raises significant privacy concerns that must be addressed with the utmost care and sensitivity. Let&rsquo;s start off with the most sensitive data asset for all humans: healthcare data. Healthcare data is one of the most personal and highly revealing types of information available, containing medical records, health histories, and genetic information. Combining this with non-healthcare data such as social media activity, purchasing history, and location data, allows researchers to gain a deeper understanding of a person&#39;s health and lifestyle, which can be invaluable for healthcare research and outcome improvement. However, this combination also poses a significant threat to people&#39;s privacy, as it exposes a wealth of intimate information about individuals. To ensure the privacy of individuals today, companies contract consultants to analyze data and produce a set of privacy risks. These consultants and companies work together to remediate datasets to produce a safe and actionable dataset. However, this process generally takes 8+ weeks because of the heavily manual, human-led processes. Companies cannot afford to wait this long and people cannot afford to receive delayed care. That&rsquo;s why we need automation to preserve privacy yet take advantage of all this data. High data quality and patient privacy need to be accommodated simultaneously, which is no easy task. Doing this will enable companies to be flexible in their approach; they&rsquo;ll be able to experiment freely and understand what is possible and what isn&rsquo;t possible. Most importantly, this will shift the narrative from seeing patient privacy as a blocker to seeing it as an enabler to build trust and win over customers. . For example, people are more willing to participate in healthcare research when they a re confident that their personal information is being protected. Without this trust, companies risk losing valuable insights and opportunities to improve healthcare outcomes and their bottom lines.&nbsp; In conclusion, the combination of healthcare and non-healthcare data has the potential to revolutionize healthcare research and innovation. However, this must be done with great care and sensitivity to protect people&#39;s privacy. The use of automated privacy technology like Integral is critical to achieving this goal, ensuring that personal information is protected, and that people&#39;s privacy rights are respected. By prioritizing privacy and building trust with the public, researchers can unlock the full potential of combined healthcare and non-healthcare data and improve healthcare outcomes for all. # &nbsp;# &nbsp;#