---
title: "Rapid CNS Therapeutic Discovery: Brainify.AI & Negev Labs Collaboration"
description: Brainify.AI and Negev Labs leveraged AI to rapidly identify new CNS therapeutic opportunities, reducing research time from a year to under four weeks and saving up to $400,000.
image: https://blog.brainify.ai/hubfs/AI-Generated%20Media/Images/The%20image%20features%20a%20futuristic%20laboratory%20scene%20showcasing%20a%20sleek%20hightech%20workspace%20filled%20with%20advanced%20computer%20screens%20displaying%20vibrant%20data%20v-1.png
---
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# Rapid CNS Therapeutic Discovery: Brainify.AI & Negev Labs Collaboration
[](https://blog.brainify.ai/author/brainify-ai)
by [Brainify.AI](https://blog.brainify.ai/author/brainify-ai)
2 min read
Nov 25, 2025 4:34:04 PM
Brainify.AI today announced the results of a rapid discovery sprint with Negev Labs, a biotech company exploring new therapeutic applications for a promising CNS compound. Leveraging Brainify.AI’s Datahub — an AI-native multimodal brain data platform built on 2.7 million patient records — the joint team identified high-value symptom domains for mechanism-driven follow-up studies in less than four weeks, a process that traditionally requires more than a year.
The collaboration showcases how Brainify.AI is redefining exploratory neuroscience R&D through unified datasets, AI-driven analytics, and an accelerated research workflow.
### **A New Standard for Hypothesis Generation**
Negev Labs’ goal was to understand where their molecule might demonstrate therapeutic benefit beyond its initial indication. Instead of commissioning lengthy literature reviews, contracting multiple data vendors, or running multi-site EHR studies — all of which typically take 12–16 months and cost hundreds of thousands of dollars — they turned to Brainify.AI’s Datahub platform.
Datahub integrated signals from EEG, ECG, clinical notes, vitals, and laboratory data, enabling a comprehensive, mechanism-aligned investigation. Using analog mapping, the platform identified therapies with related mechanisms and explored their real-world, off-label utilization. AI models then processed structured and unstructured data to surface symptom clusters and prioritize the most promising opportunities.
### **Impact for Negev Labs**
**Speed:** Decision-ready insights delivered in under four weeks compared to more than a year of conventional research.
**Cost Efficiency:** An estimated savings of $250,000–$400,000 across analyst labor, data-access fees, and external vendor costs.
**Scientific Clarity:** Data-driven hypotheses pinpointed symptom domains most aligned with the compound’s neurobiological mechanism.
### **Why Datahub Outperformed Traditional Approaches**
On page 2 of the case study, the comparison table clearly shows the advantage: a Datahub sprint costs under $100k equivalent and bypasses the fragmented nature of literature reviews and the governance hurdles of multi-site EHR studies.
The platform’s strength comes from:
- **Scale:** A unified multimodal dataset covering 2.7 million patients.
- **AI-Native Analytics:** Proprietary models decode brain signals alongside clinical text and labs to uncover patterns missed in conventional datasets.
- **Iterative Workflow:** Real-time analytics allow teams to refine hypotheses and see ranked results rapidly.
- **Mechanism Alignment:** Datahub’s architecture is built for translational neuroscience, bridging exploratory signals with experimental validation.
### **Transforming the Future of CNS Drug Discovery**
The Brainify.AI–Negev Labs partnership demonstrates a new paradigm for neuroscience R&D: fast, mechanism-aware, cost-efficient discovery powered by multimodal brain data. As shown in the case study, teams can now move from hypothesis to prioritized insights in weeks rather than years.
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