About DeepNeural

Pioneering the future of AI agents to solve complex business challenges

Our Story

From a small startup to a leader in autonomous AI agents

Founded in 2022 by a team of AI researchers from the Indian Institute of Technology, Kanpur (IITK), DeepNeural began with a simple mission: to build AI agents that could work alongside humans, augmenting their capabilities and taking on complex tasks autonomously.

What started as a research project in a small Bangalore apartment has grown into a leading AI solutions provider with offices across India and partnerships with global enterprises. Our founding team's background in machine learning, neural networks, and cognitive science gave us a unique perspective on building AI systems that could truly understand and adapt to human needs.

Today, DeepNeural Technologies is at the forefront of developing autonomous AI agents that are transforming how businesses operate across industries. Our solutions have helped enterprises improve efficiency, reduce costs, and create entirely new capabilities through the power of artificial intelligence.

DeepNeural Team
2022
Company founded by AI researchers
2022
First enterprise client partnership
2023
Series A funding round completed
2024
Expanded to 6+ enterprise clients

Our Mission

To create autonomous AI agents that enhance human capabilities, solve complex problems, and drive business transformation across industries.

We believe in building AI systems that work alongside humans, taking on repetitive and complex tasks while allowing people to focus on creative and strategic work where they excel.

Our Vision

To be the global leader in autonomous AI agent technology, setting new standards for intelligence, reliability, and ethical AI implementation.

We envision a future where AI agents become trusted partners in every organization, handling complex tasks autonomously while adhering to the highest standards of ethics, transparency, and human oversight.

Our Core Values

The principles that guide everything we do at DeepNeural

Innovation

We constantly push the boundaries of what's possible in AI, investing heavily in R&D to create breakthrough technologies.

Human-Centered

We design our AI agents to augment human capabilities, not replace them, prioritizing collaboration between humans and machines.

Excellence

We hold ourselves to the highest standards in every aspect of our work, from code quality to client relationships.

Responsibility

We develop AI with strong ethical principles, ensuring our technology is safe, fair, transparent, and respects privacy.

Impact

We measure our success by the tangible value our solutions create for clients and society as a whole.

Agility

We move quickly, adapt to changing circumstances, and continuously evolve our approach based on new learnings.

Our Leadership Team

Meet the experts behind DeepNeural's innovative AI solutions

Vivek Saraf

Vivek Saraf

Founder & CEO

Former AI research lead at IIT with 15+ years of experience in neural networks and machine learning.

Priya Mehta

Priya Mehta

Chief Technology Officer

AI systems architect specializing in autonomous agents and distributed computing systems.

Vikram Patel

Vikram Patel

Chief Operating Officer

Former McKinsey consultant with expertise in scaling technology businesses across global markets.

Dr. Meera Nair

Dr. Meera Nair

Head of Research

Published researcher in deep learning with focus on reinforcement learning and knowledge systems.

DeepNeural by the Numbers

Our growth and impact since 2018

500+
AI Agents Deployed
120+
Team Members
100+
Enterprise Clients
45+
Research Papers
2023

Series B Funding

Raised $45M in Series B funding led by top venture capital firms in 2023

2022

Tech Innovation Award

Received the National AI Innovation Award for our autonomous agent architecture

2021

Global Expansion

Opened offices in Singapore and Dubai to serve our growing international client base

Our Technology Approach

How we build autonomous AI agents that deliver real business value

1

Deep Learning Foundation

Our agents are built on advanced neural network architectures, trained on vast datasets to recognize patterns and make intelligent decisions.

2

Reinforcement Learning

We use reinforcement learning techniques to enable our agents to learn from experiences and continuously improve their performance over time.

3

Knowledge Integration

Our systems integrate with your existing knowledge bases and data sources, leveraging your institutional knowledge to make better decisions.

4

Human-in-the-Loop Design

We design our AI agents to work collaboratively with humans, providing transparency into decision-making and allowing for oversight.

5

Continuous Improvement

Our agents are constantly learning and evolving, adapting to new data and changing business conditions to deliver ever-improving results.

Join Us on Our Mission

Partner with DeepNeural to transform your business with cutting-edge AI agent technology.