Hakase

One engine for the entire pharma value chain — Drug discovery to bedside. Governed Healthcare AI, evidence-gated. Built for biopharma that can't afford to guess

[Hakase @HakaseAI_]

@HakaseAI_ is pleased to announce the appointment of Mr. @Pranay_Dinavahi as Chief Technology Officer. #DrugDevelopment #ClinicalResearch #Lifesciences #AIML #Pharmacovigilance #Regulatory #MedicalAffairs

[Hakase @HakaseAI_]

In drug development, AI must be decision-grade and not just a suggestion engine.
#Hakase brings provenance, confidence, evidence-backed validation, human-in-the-loop review, safety constraints, and a tamper-evident audit trail thus making the output trustworthy enough to act on.

[Hakase @HakaseAI_]

At @HakaseAI_, we built the version of AI that gets a scientist to their own judgment with better information in front of them. #DrugDiscovery #ClinicalResearch #MolecularSimulations #AIML

[Hakase @HakaseAI_]

AI in #drugdevelopment should do more than predict and should shift from AI models → evidence systems and tell us:
-What supports the prediction.
-Where uncertainty remains.
-What evidence contradicts it.
-And whether the result is strong enough to influence the next experiment.

[Hakase @HakaseAI_]

#DrugDevelopment doesn’t have a data problem. It has a continuity and reasoning problem. Evidence is generated across discovery, #preclinical, #clinical and #regulatory stages but context gets lost. Hakase aims to connect that evidence and reasoning across the lifecycle.

[Hakase @HakaseAI_]

What is the biggest bottleneck in #drugdevelopment today?

[Hakase @HakaseAI_]

The future of #AI-enabled #DrugDiscovery will be shaped as much by #validation as by #model performance.

[Hakase @HakaseAI_]

#Hakase is built around a simple idea -
One intelligent layer connecting the entire evidence behind #ClinicalResearch

[Hakase @HakaseAI_]

#ClinicalResearch shouldn't feel like moving between dozens of disconnected #intelligence systems.
The experience should feel continuous.