Causaly vs Tempus

Tempus has a disclosed valuation of $8.1B, while Causaly's valuation is not publicly available, making a direct size comparison difficult. Tempus employs 2500 people.

Tempus has raised $1.3B in disclosed funding across 5 known rounds. Causaly's funding history is not publicly available.

Tempus holds the higher Awaira Score at 84/100, compared to Causaly's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 39-point gap that reflects meaningful differences in scale or traction.

Causaly was founded by Elias Iosif in 2018. Tempus was founded by Eric Lefkofsky in 2015. Visit each company's profile on Awaira for a full founder biography.

Causaly: Causaly built a biomedical AI platform that extracts and maps causal relationships from scientific literature at scale, allowing pharmaceutical researchers and scientists to query cause-and-effect relationships across millions of published papers and clinical documents. The platform used a specialised natural language processing system trained to identify causal assertions in biomedical text, producing a structured knowledge graph of disease mechanisms, drug targets, and biological pathways.\n\nThe company was founded in London in 2018 and was acquired by Elsevier, the academic publishing giant, in 2022. The acquisition gave Elsevier an AI layer to sit atop its vast corpus of scientific publications, enabling researchers using ScienceDirect and other Elsevier products to query causal biological knowledge rather than simply searching for documents. Prior to acquisition, Causaly had built a client base among pharmaceutical R&D teams seeking to accelerate literature review and hypothesis generation.\n\nCausaly represented a niche but strategically important segment of the biomedical AI market: causal reasoning and knowledge graph construction. Its acquisition by Elsevier followed a broader trend of academic publishers acquiring AI startups to enhance their platforms, similar to Wiley acquiring Atypon and Springer Nature building AI discovery tools. The company is now integrated into Elsevier Research Intelligence, extending causal AI capabilities to Elsevier institutional subscribers worldwide. Tempus: Tempus is an AI-driven oncology and precision medicine company founded in 2015 that leverages machine learning and data analysis to improve cancer treatment outcomes. The platform aggregates and analyzes vast datasets including clinical data, imaging, molecular information, and outcomes to identify personalized treatment strategies for cancer patients. Tempus's core technology uses artificial intelligence to match patient-specific tumor characteristics with optimal therapeutic options, enabling oncologists to make data-informed treatment decisions. The company operates primarily in the United States and serves hospitals, health systems, and oncology practices through its cloud-based platform. Its applications span multiple cancer types including lung, colorectal, breast, and ovarian cancers. Tempus has secured $1.3 billion in total funding and achieved a valuation of $8.1 billion, reflecting significant investor confidence in precision oncology. The company went public, transitioning from private to public markets. Tempus competes with other AI health platforms and precision medicine companies like Foundation Medicine and others focused on genomic analysis and treatment selection. The company's growth trajectory reflects expanding adoption of AI-driven oncology tools and increasing demand for personalized cancer treatment protocols. Its competitive positioning centers on its data infrastructure scale and machine learning capabilities applied to complex clinical decision-making. Tempus combines clinical, imaging, and molecular data through AI to provide real-time oncology treatment recommendations at scale across U.S. health systems.

Tempus was founded first in 2015, giving it 3 years of additional market experience. Causaly was founded later in 2018. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Causaly has approximately 1-50 employees, while Tempus has approximately 2500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Causaly and Tempus are direct competitors — both operate in the AI Healthcare space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.