ProofPilot Acquires Lokavant to Enhance Clinical Trial Analytics
ProofPilot has acquired Lokavant, a leader in clinical trial intelligence, to integrate predictive analytics into its platform, announced in a press release. This acquisition aims to combine ProofPilot's trial execution capabilities with Lokavant's advanced analytics, offering a comprehensive solution for optimizing clinical research.
Lokavant, spun out of Roivant in 2020, uses historical and real-time data to provide predictive insights and improve study feasibility. By integrating these capabilities, ProofPilot enhances its platform, allowing sponsors and CROs to anticipate challenges and drive faster, more reliable outcomes.
The combined platform offers AI-powered study forecasting, real-time performance dashboards, and enhanced study oversight capabilities. This integration is designed to improve operational predictability, reduce risk, and ensure trials generate reliable results, ultimately accelerating the delivery of new therapies to patients.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Nov 13 Bracco and Avicenna.AI win FDA clearance for AI that flags brain aneurysms on CT scans Nov 13 Zus Health raises $33 million to build the data layer for healthcare AI Nov 13 Google DeepMind releases AlphaGenome 2 to predict DNA variant effects in specific cell types Nov 13 Taiwan hospital accelerator T+ MedIC names AI ECG and CT screening tools as first winners Nov 13 Sheinbaum meets OpenAI president Greg Brockman on AI in Mexican healthcareLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Finpilot raises $10 million for institutional investment AI agents
Inovia Bio Launches Falcon for Drug Development Workflows
TrueLoyal Adds Predictive Analytics to Rewards Platform
Atlas Bio raises $12.5 million for virtual drug trials
AstraZeneca and Oracle Partner on AI for Clinical Trials
Daily AI Brief: the AI news that matters, in your inbox.