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Causaly builds an enterprise AI platform for life sciences research and development. It helps teams move from hypothesis to evidence-backed decisions in minutes by automating research workflows with a combination of a precise scientific knowledge graph, advanced scientific information retrieval, and governed agentic orchestration. The platform ingests more than 100,000 scientific documents per day and can connect an organization’s internal data through a secure enterprise data fabric, enabling use across early research, clinical development, and post-market activities. Compared with others, Causaly emphasizes end-to-end workflow automation, strong data governance, and scalable integration of both external literature and internal sources to accelerate decision-making and reduce manual work. The goal is to accelerate life-sciences research and development, helping teams generate reliable evidence quickly to guide experiments, trials, and regulatory decisions.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Healthcare
Company Size
51-200
Company Stage
Series B
Total Funding
$82.7M
Headquarters
London, United Kingdom
Founded
2018
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Total Funding
$82.7M
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Causaly brings agentic scientific research into Microsoft (NASDAQ: MSFT) Copilot for biopharma enterprises. Causaly has announced an expansion of its collaboration with Microsoft (NASDAQ: MSFT) that integrates agentic scientific research capabilities directly into Microsoft Copilot for enterprise life sciences teams. Enterprise scientists and knowledge workers can now access Causaly's scientifically grounded research from within Microsoft 365 workflows, including the Copilot app and Microsoft Teams. The integration allows Causaly to act as a specialized enterprise agent, orchestrating end-to-end scientific research that surfaces prior science and reasons over biological mechanisms. Users can invoke Causaly from the agent menu or by @mentioning Causaly in a Copilot conversation, enabling complex biomedical questions to be answered within a familiar interface. Every answer produced by Causaly carries traceable references back to peer-reviewed literature, biomedical databases, and its proprietary knowledge graphs, Bio Graph and Pipeline Graph. The announcement builds on a collaboration first unveiled at Microsoft Build 2026 in June, which brought Causaly's scientific interpretation together with Microsoft Discovery's enterprise scientific platform. Yiannis Kiachopoulos, co-founder and CEO of Causaly, said: "This puts governed, provenance-first scientific reasoning inside the same interface used across research, development, medical, and commercial functions in biopharma." Kiachopoulos added: "In June we announced the deployment of Causaly's Agentic Research on Microsoft Discovery. Today we are extending that collaboration to Microsoft Copilot, the productivity surface where enterprise knowledge workers already do their day-to-day work." Chantrelle Neilsen, principal product manager for Microsoft 365 Copilot at Microsoft, described the integration as a model for what specialized enterprise agents should look like inside Copilot. Neilsen said: "Grounded in evidence, accountable to the domain, and available where the work happens," characterizing the Causaly integration as making AI more useful without requiring users to switch between tools. For biopharma customers, the combined effect is evidence-grounded scientific reasoning available across Microsoft surfaces their teams already rely on for daily productivity tasks. Causaly, which describes itself as an agentic AI platform purpose-built for life sciences research and development, says leading pharmaceutical and biotechnology organizations use its platform to accelerate drug discovery. Causaly is currently available on the Microsoft Marketplace, with the integration designed to support evidence-grounded research workflows across both Microsoft Discovery and Microsoft Copilot.
Syneos Health advances ai-powered clinical ecosystem to optimize trial performance and speed decision-making. Expanding set of partners and proprietary insights strengthens operational performance. MORRISVILLE, N.C., Aug. 18, 2026 (GLOBE NEWSWIRE) - Syneos Health(R), a leading fully integrated biopharmaceutical solutions organization, today announced the continued advancement of its AI ecosystem - a unified, enterprise approach that embeds artificial intelligence (AI) directly into the core of clinical development. By combining deep therapeutic expertise, healthcare professional intelligence and modern AI technologies, Syneos Health is helping sponsors navigate an increasingly complex development landscape. Grounded in decades of clinical and commercial experience, Syneos Health's differentiated AI approach focuses on integrating advanced capabilities into critical decision points across protocol design, feasibility, enrollment planning, site activation, monitoring and operational oversight. This enables teams to anticipate risk earlier, reduce friction across workflows and make faster, more informed decisions that improve study performance. "Our priority is AI that works inside the complexity of clinical trials. By combining advanced AI with a deep understanding of sites, physicians, patients and the operational dynamics that shape trial performance, we're unlocking new opportunities for speed, clarity and quality," said Mike Montello, Chief Digital and Information Officer, Syneos Health. "When technology is applied precisely at critical decision points, teams can anticipate risk earlier to accelerate development." Enterprise AI and Data Platforms Syneos Health is building a future ready ecosystem bringing together capabilities combining scientific expertise, connected data and evidence, and AI-enabled execution. This integrated approach creates a unified intelligence environment that enables faster, more informed decisions across the clinical development lifecycle. * Causaly - Syneos Health's new collaboration with Causaly applies agentic, evidence-based scientific reasoning to enable faster protocol strategy development, feasibility planning and competitive trial intelligence. Built specifically for the life sciences sector, Causaly's Agentic Research surfaces evidence from a proprietary knowledge graph combining biomedical research and commercial insights. By accelerating analysis of complex biomedical literature and emerging data, Syneos Health teams have reduced the time it takes to derive insights for study strategy and design by approximately 50%. * Databricks - Using Databricks enables Syneos Health to create a more powerful, unified intelligence environment that brings together operational, clinical and real-world data to advance modern clinical development. Leveraging the Databricks Data + AI Platform, Syneos Health has developed a continuous, near real-time view of clinical operations that reduces the time from source data capture to review-ready insight from days to hours, enabling faster intervention and more efficient trial execution. * Microsoft - Building on its long-standing collaboration that began in 2023, Syneos Health is driving AI adoption through its integration with Microsoft. Specifically, Syneos Health has used Microsoft Power Apps and other tools to develop more than 280 agents that integrate with Microsoft 365 Copilot to improve productivity, streamline workflows and support faster, more confident decision-making across the company. Complementing these foundational capabilities are frontier agentic AI solutions and proprietary Syneos Health insights embedded directly within clinical workflows. Together, they help improve predictability, reduce operational complexity, and drive more precise, scalable trial performance. These capabilities are deployed with strong human oversight and governance, ensuring responsible use in regulated environments. "What differentiates Syneos Health is our ability to redesign how clinical development decisions are made through the combination of scientific intelligence, connected evidence, operational expertise and AI-enabled execution across the development lifecycle," said Michael Brooks, Chief Operating Officer, Syneos Health. "By grounding AI in deep clinical expertise and real-world experience, we help sponsors reduce complexity, make better-informed decisions and ultimately deliver better outcomes for patients." About Syneos Health Syneos Health(R) is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. News Break Middle East translate unique clinical, commercial and real world insights into outcomes to address modern market realities. News Break Middle East bring together a talented team of professionals with a deep understanding of patient and physician behaviors and market dynamics. Together News Break Middle East share diverse insights, use the latest technologies and apply advanced business practices to speed its customers' delivery of important therapies to patients. Syneos Health is powered by an authentic, inclusive and high-performance culture that cares for colleagues, customers, patients, communities and the environment. Press/Media Contact: Meg Byers Director, External Communications [email protected] Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. News Break Middle East do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Sage Inks Publishing Deal with Causaly's AI Platform Focusing on Drug Discovery Research. July 29, 2026 San Francisco Biotechnology Network News News, Syndication Comments Off on Sage Inks Publishing Deal with Causaly's AI Platform Focusing on Drug Discovery Research In a new publishing deal, Causaly and Sage have announced a partnership to bring full-text scientific peer-reviewed literature into the world of AI-powered drug discovery research. According to Sage vice president Katie Metzler, who leads the publisher's global licensing team, this deal follows a similar partnership that Sage struck in January 2026 with Consensus, an AI workspace for scientific research based in San Francisco. The deal also marks Causaly's first partnership with a major STM publisher. "It's an example of a broader shift happening with AI agents reading the full text of journals and providing human researchers with the sections they need, showing them how ideas are connected via their knowledge graph, saving time over traditional search and discovery methods and driving new insights that they may never have found via a traditional lit review methods."
Causaly has partnered with Sage to integrate full-text access to over 400 life sciences journals into its AI-powered research platform. The partnership allows Causaly's AI agents to analyse complete articles from Sage and Mary Ann Liebert journals, including methods, results tables, and supporting data. The integration is available as an add-on to existing Causaly subscriptions. Customers with Sage subscriptions can link directly to full articles, whilst those without receive article snapshots and purchasing options. Causaly's platform runs AI-powered relevance analysis before any article access, helping researchers evaluate content value before purchasing. This aims to reduce wasted spending on irrelevant papers and accelerate research workflows. The partnership combines Causaly's biomedical knowledge graph with Sage's scientific literature to deliver evidence-backed insights within a single platform.
Causaly has announced a collaboration with Microsoft at Microsoft Build 2026 to integrate scientific computation with interpretation for life sciences research and development. The solution combines Microsoft Discovery's analytics and simulation capabilities with Causaly's knowledge-graph reasoning across scientific sources. The collaboration addresses a key bottleneck in biopharma R&D, where computational signals require manual synthesis and evidence gathering that can delay programmes by weeks or months. The integrated platform supports workflows including target identification, biomarker strategy, in silico prediction and safety assessment. "Drug discovery does not suffer from a lack of data. It suffers from a lack of trustworthy interpretation," said Yiannis Kiachopoulos, co-founder and CEO of Causaly. The solution aims to deliver faster iterations, higher-confidence decisions and outputs meeting scientific review and regulatory standards.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Healthcare
Company Size
51-200
Company Stage
Series B
Total Funding
$82.7M
Headquarters
London, United Kingdom
Founded
2018
Find jobs on Simplify and start your career today