Albert Invent Raises $22.5 Million Series A

<p><strong>OAKLAND<&sol;strong> &&num;8212&semi; Albert Invent&comma; an R&amp&semi;D platform that accelerates chemical innovation in materials science using AI&comma; has raised a &dollar;22&period;5 million Series A funding round led by Coatue&comma; with participation from TCV&comma; Index Ventures&comma; F-Prime&comma; and Homebrew&period;<&sol;p>&NewLine;<p>As part of the announcement&comma; the company also introduced Albert Breakthrough&comma; the first-ever AI solution built specifically for chemists&period; Albert Breakthrough combines centralized&comma; structured data with specialized&comma; user-friendly AI to optimize complex experiments&comma; predict molecular properties&comma; and generate novel formulations&period; As a core component of Albert&&num;8217&semi;s end-to-end platform&comma; Breakthrough marks a paradigm shift in material science innovation&comma; enabling chemical companies to develop new products with unprecedented speed and performance&period;<&sol;p>&NewLine;<p>The news builds on the company’s momentum over the last six months&comma; in which it added customers like Chemours&comma; Solenis&comma; Keystone Industries&comma; and Applied Molecules&period; Additionally&comma; Henkel and Nouryon have expanded their relationship with Albert Invent&period; Now&comma; thousands of scientists around the world leverage Albert’s solution to accelerate innovation and get products to market faster&period;<&sol;p>&NewLine;<p>The capital will be used to expand the engineering team&comma; enhance the platform&&num;8217&semi;s capabilities&comma; and scale operations to meet growing demand&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;As the foundation from which research and development stems&comma; scientific labs demand constant modernization to keep pace with our evolving world&comma;” said David Schneider&comma; General Partner at Coatue&period; &OpenCurlyDoubleQuote;It is exciting to support Albert as the company seeks to transform how chemistry research is performed by implementing the latest AI technology for greater efficiencies and overall business benefit&period; We’ve been impressed by the overwhelmingly positive response to Albert’s solutions for labs around the world and we are looking forward to supporting Albert as it launches Breakthrough&period;”<&sol;p>&NewLine;<p><b>A Breakthrough in Chemical R&amp&semi;D<&sol;b><&sol;p>&NewLine;<p>Albert&&num;8217&semi;s unified data model structures and centralizes data across entire organizations&comma; pulling in all historical data on past experiments&period; Breakthrough uses this data to fuel its advanced machine learning models&comma; which continuously learn and evolve&period; Breakthrough offers an intuitive interface where chemists and AI collaborate seamlessly&period; By leveraging its deep understanding of molecular-level data&comma; Breakthrough assists scientists in generating experimental suggestions&comma; predicting molecular properties&comma; and optimizing formulations&period; This powerful synergy between human expertise and machine intelligence has the potential to significantly accelerate chemical R&amp&semi;D&period;<&sol;p>&NewLine;<p>Breakthrough&&num;8217&semi;s key features include&colon;<&sol;p>&NewLine;<ul class&equals;"bwlistdisc">&NewLine;<li><b>Molecular Predictions<&sol;b><b>&colon; <&sol;b>Generate real-time property and toxicology predictions for drawn chemical structures&comma; outperforming standard industry models&period;<&sol;li>&NewLine;<li><b>Structure Search<&sol;b><b>&colon;<&sol;b> Identify exact matches or similar structures based on drawn chemicals&comma; utilizing advanced similarity modeling techniques&period;<&sol;li>&NewLine;<li><b>Inverse Design<&sol;b><b>&colon;<&sol;b> Create formulations to meet specific targets&comma; leveraging comprehensive regulatory intelligence and molecular property predictions&period;<&sol;li>&NewLine;<li><b>Active Learning<&sol;b><b>&colon;<&sol;b> Test predicted formulas seamlessly within the Albert platform&comma; allowing models to evolve and improve predictions with new data&period;<&sol;li>&NewLine;<li><b>SKU Rationalization<&sol;b><b>&colon;<&sol;b> Identify similar or duplicate formulations efficiently across your organization&comma; streamlining product portfolios&period;<&sol;li>&NewLine;<li><b>Model Explainabilit<&sol;b><b>y&colon;<&sol;b> Access detailed insights into prediction rationales&comma; including influential ingredients&comma; chemical fingerprints&comma; and parameters&comma; along with overall model accuracy&period;<&sol;li>&NewLine;<&sol;ul>&NewLine;<p>&OpenCurlyDoubleQuote;For too long&comma; advanced machine learning techniques have only been accessible to data scientists&comma;” said Nick Talken&comma; CEO and Co-founder of Albert Invent&period; &OpenCurlyDoubleQuote;With Breakthrough&comma; we&&num;8217&semi;re putting this power directly in the hands of thousands of chemists&period; Now&comma; it&&num;8217&semi;s easier than ever for them to develop the materials that shape our lives&period;”<&sol;p>&NewLine;<p>Nicholas Gripp&comma; a Senior Chemist at Applied Molecules&comma; reported&comma; &OpenCurlyDoubleQuote;Breakthrough has shown impressive results in our initial tests&period; The formulas it proposed have been promising&comma; and we&&num;8217&semi;re excited to see how it will streamline our formulation process&period; We believe this technology has the potential to significantly accelerate our innovation efforts&period;”<&sol;p>&NewLine;

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