BY NEUROLOGIC AIApplied AI and enterprise transformation
The founder’s operating background spans enterprise AI delivery and regulated-industry work before Corporate GPT.
The people who sell the vision remain visible in delivery.
A 22-person engineering and delivery team spans models, evaluation, product, platform, security, deployment, and customer outcomes across the United States, UAE, and India. Every production workstream carries a named owner.
US COMPANYUAE DIFC AI CAMPUSINDIA ENGINEERINGNEUROLOGIC AI
22engineering + delivery team
03operating regions
NAMEDworkstream ownership
MISSION
Democratize production-grade AI.
Make advanced, governed intelligence accessible to enterprises—without asking them to surrender their data, control, or institutional knowledge.
DELIVERY PRINCIPLE
The people who sell the vision stay visible.
Every production workstream carries named responsibility across executive sponsorship, architecture, security, deployment, customer outcomes, and expert acceptance.
01 · Evidence before theatre02 · Human judgment stays consequential03 · Sovereignty by architecture04 · Every release earns acceptance
THE OPERATING FOUNDATION
Built from delivery.
Not a lab demo.
One engineering and delivery team
Models, evaluation, product, platform, security, deployment, and customer outcomes are operated as one delivery chain.
Recognized applied-AI work
Neurologic AI reports a Times Business Award in 2024 and Times Health Summit Generative AI recognition in 2025 and 2026.
A global operating shape
Customer and engineering work is supported across the United States, United Arab Emirates, and India.
LEADERSHIP & DELIVERY
The people behind
the perimeter.
A 22-person engineering and delivery team across the United States, United Arab Emirates, and India.Dr. Santanu Das
PhD in Electrical Engineering, Washington University.
John Gillotte
BS in Computer Science, University of Michigan.
Nishan Ali
M.Tech in Artificial Intelligence, IIT Jodhpur.
Ishan Mishra
M.Tech (CSE), PhD (CSE), IIT Jodhpur.
Pranta Das
M.Tech in Computer Science, ISI Kolkata; M.Sc. in Mathematics, IIT Kanpur.
Yaswanth H
B.Tech in Electrical Engineering, IIT Kharagpur.
Harshad Shinde
M.Tech in Computer Science, IIT Kharagpur.
Abhishek Selokar
M.Tech in Biomedical Engineering, IIT Kharagpur.
Himanshu Kale
M.Tech in Biomedical Engineering, IIT Kharagpur.
Akash Pal
Master of Computer Applications, Academy of Technology.
Sujan
M.Tech in Computer Science, ISI Kolkata; M.Sc. in Mathematics, IIT Bombay.
Soulina Mondal
B.Tech in Computer Science and Engineering, Academy of Technology.
Someshwar Srimany
B.Tech in Electrical and Electronics Engineering, Academy of Technology.
Yedla Anil Kumar
Dual degree (B.Tech + M.Tech) in Chemical Engineering, IIT Kharagpur.
Samiran Dolui
IIT Madras.
Shouryadeep Bera
IIEST Shibpur.
Aparup Ghosh
IIEST Shibpur.
Foundation-model depth should be measured publicly.
Neurologic AI reports that its radiology foundation system outperformed public Google and Microsoft baselines. Evaluate the claim only alongside the benchmark summary and supporting method: datasets, model versions, test date, scores, protocol, and available report or code.
Request the benchmark method ↗