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Causaly

Knowledge-graph powered AI drug discovery

Overview

Causaly builds an agentic AI research platform for life sciences R&D that helps drug discovery and clinical development teams find and interpret biomedical evidence, turning research questions into cited, reviewable answers. It blends a cause‑and‑effect biomedical knowledge graph with scientific information retrieval and a data fabric that links public literature, full‑text journals, and a customer’s internal data; its products include Agentic Research, Scientific Workflows, Bio Graph and API, and Pipeline Graph, with integration into Microsoft 365 Copilot. The platform differentiates itself by using a deep, agentic AI approach and a unified data fabric to connect external literature with internal data for end‑to‑end research workflows. Its goal is to accelerate life sciences R&D by turning vast biomedical information into actionable, citable evidence that speeds up decision making and validation in drug discovery and clinical development.

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About Causaly

Simplify's Rating
Why Causaly is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareAI & Machine LearningHealthcare

Company Size

51-200

Company Stage

Series B

Total Funding

$82.7M

Headquarters

London, United Kingdom

Founded

2018

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What believers are saying

  • 2026 Microsoft Build validated Causaly’s discovery workflow with Microsoft Discovery integration.
  • September 2026 Copilot availability expands daily usage across research, medical, and commercial teams.
  • May 2026 Scientific Workflows cut indication assessment from a month to days.

What critics are saying

  • Causaly depends on Microsoft Copilot distribution; Microsoft can privilege native life-sciences agents.
  • Sage full-text is an add-on, so adoption hinges on customers paying extra.
  • Microsoft can absorb Causaly’s interface layer, commoditizing distribution and collapsing standalone pricing power.

What makes Causaly unique

  • Causaly combines biomedical knowledge graphs, cited answers, and multi-agent workflows for life sciences.
  • September 2026 Copilot integration embeds Causaly inside Microsoft 365 and Teams workflows.
  • July 2026 Sage deal adds full-text access across 400-plus journals and methods tables.

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Funding

Total Funding

$82.7M

Above

Industry Average

Funded Over

4 Rounds

Notable Investors:
Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Above Average

Industry standards

$35M
$45M
$60M
$65M
$100M

Benefits

  • Health Insurance
  • Dental Insurance
  • Life Insurance
  • Professional Development Budget
  • Wellness Program
  • Unlimited Paid Time Off
  • Paid Vacation
  • Paid Holidays
  • Parental Leave

Growth & Insights and Company News

6 month growth

-2%

1 year growth

0%

2 year growth

2%
Foreign Policy Journal
Sep 17th, 2026
Causaly brings agentic scientific research into Microsoft (NASDAQ: MSFT) Copilot for biopharma enterprises.

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.

News Break! Middle East
Aug 18th, 2026
Syneos Health advances ai-powered clinical ecosystem to optimize trial performance and speed decision-making.

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.

San Francisco Biotechnology Network
Jul 29th, 2026
Sage Inks Publishing Deal with Causaly's AI Platform Focusing on Drug Discovery Research.

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."

PR Newswire
Jul 29th, 2026
Causaly partners with Sage to integrate full-text scientific literature into AI drug discovery platform

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.

PR Newswire
Jun 2nd, 2026
Causaly and Microsoft partner to accelerate drug discovery with evidence-based AI workflow

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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