Neuralix AI
Category: AI in Climate / Energy
AI-driven solutions for defense situational awareness, energy optimization, and industrial operational excellence Neuralix AI was founded in 2023. The company is led by Vikram Jayaram. Based in Houston, TX, United States / Bengaluru, Karnataka, India. Team size: 11-50. Total funding raised: N/A (no disclosed funding as of 2025). Latest round: Grant, Undisclosed (Max ₹25 Crore), 2024, led by Ministry of Defence, Government of India.
- Founded
- 2023
- Headquarters
- Houston, TX, United States / Bengaluru, Karnataka, India
- Team size
- 11-50
- Total funding
- N/A (no disclosed funding as of 2025)
Value proposition
Leverages AI and physics-based models to deliver up to 30% energy savings, enhance situational awareness, and optimize asset performance with real-time analytics
Products and solutions
AI-driven operational coordination and optimization, Downtime reduction solutions, Asset performance optimization, Industrial automation platforms, Note: Specific product names (Surya Drishti, ALAAS) not verified on website
Unique value
First in India to integrate physics-based AI models with operational data for defense and energy sectors, with fully indigenous defense AI platform
Target customer
Defense organizations (Indian Army), midstream energy operators, manufacturing firms, and industrial enterprises
Industries served
Defense & Military, Energy (Midstream Operations), Manufacturing, Smart Industrial Systems
Technology advantage
Proprietary AI algorithms combining real-time data processing with domain-specific physics models for precise optimization, modular architecture for defense applications
How they differentiate
Focuses on indigenous defense AI solutions tailored for Indian military applications, with expertise in predictive risk modeling and operational analytics for defense sectors, combining physics-based models with real-time AI
Main competitors
Canvass AI, Seeq, DataRobot, Uptake
Key partnerships
Indian Army (Surya Drishti project), Vivakor (Midstream energy optimization), Leading midstream operators (SWD pump optimization)
Notable customers
Customer names not verified on website (Indian Army, Vivakor mentioned in database but unconfirmed)
Major milestones
Developed India's first indigenous defense AI platform (ALAAS), Launched Surya Drishti project for the Indian Army's situational awareness, Achieved 30% energy savings in midstream operations via AI-driven pump optimization, Unveiled indigenous defense AI platform by Defence Minister of India
Growth metrics
30% electricity savings claim not verified on website. Deployment scope unverified.
Market positioning
Niche player in India's defense AI market, leveraging partnerships with government initiatives like IDEX ADITY 2.0 and projects with the Indian Army
Geographic focus
India and United States, with emphasis on domestic defense and industrial clients
Patents and IP
Not disclosed publicly (as of 2025)
About Vikram Jayaram
24+ years of experience in AI/ML, former Principal Research Scientist at Sabre Corporation, Sr. Research Geophysicist at Global Geophysical Services, Faculty at University of Oklahoma
Official website: https://www.neuralix.ai