Reinforcement Learning:
Startup Ecosystem Analysis

September 2019 | 76 pages

This report presents insights on Reinforcement Learning, the next step in AI technology

Get your copy

What’s included:

Analysis on Reinforcement Learning and its role in self-learning, self-optimizing, and other self-driving abilities needed in autonomous applications

Application of Reinforcement Learning in dynamic decision making in autonomous vehicles targeting Level-5 autonomy

Startups developing Reinforcement Learning techniques in the automotive, retail, ecommerce, and robotics sectors

Other sectors that are exploring Reinforcement Learning – healthcare, financial services, food industry, etc.

Startups offering Reinforcement Learning solutions for robotics-driven business models

Top organizations to have found mention in this report include Osaro, OpenAI, Acutronic Robotics, Wayve, Kindred, and, among others


Reinforcement Learning is the next big revolution in artificial intelligence (AI). As a feedback-driven and agent-based learning technology stack that is suitable for dynamic environments, Reinforcement Learning methodologies leverage self-learning capabilities and multi-agent potential to address issues that are unaddressed by other AI techniques.

With the advent of Artificial General Intelligence (AGI), Reinforcement Learning becomes important in addressing other challenges like multitasking of intelligent applications across different ecosystems. The technology appears set to drive the adoption of AGI technologies, with companies forging their AGI roadmaps by leveraging Reinforcement Learning techniques.

This report provides an analysis of the startups using Reinforcement Learning. It also includes an analysis of startups leveraging Reinforcement Learning algorithms in key sectors such as automotive, retail, financial services, robotics, healthcare, IoT, food processing, and several others.

1. Executive Summary

2. Introduction

3. Taxonomy of Reinforcement Learning Algorithms

  • Model-based and Model-free Methods
  • Imitation Learning
  • Artificial General Intelligence (AGI)

4. Reinforcement Learning Successes in Complex Gaming Environments

5. How Reinforcement Learning Benefits Different Industries

6. How Reinforcement Learning is Transforming the Present Scenario

7. Startup Ecosystem

  • Detailed Analysis of Prominent Startups
    • Osaro
    • OpenAI
    • Acutronic Robotics
    • Wayve
    • Kindred
    • Cerebri AI
    • Micropsi Industries
    • CogitAI
    • InstaDeep
  • Other Startups that are Leveraging Reinforcement Learning across Industries

8. Netscribes Insights and Recommendations

9. Acronyms

10. References

Onam Prasad:

Onam holds a Master’s degree from the University of Illinois at Chicago with specialization in telecommunications. At the University of Illinois her course of study covered subjects including wireless communications, RF systems, semiconductors, networking, digital communication, etc. She was also a member of Society of Women Engineers and attended many conferences and sessions related to initiatives by women technologists and awareness of technology across diversity.

Onam has research expertise in topics related to IoT, 5G connectivity solutions, autonomous systems, RF devices, semiconductor fabrication, telecommunication equipment, ICs and Chipsets, etc. She works on custom research projects and provides technology consulting and advisory to clients on a range of aspects including creation of strategic partnerships, development and adoption of innovative or disruptive technologies, R&D and product roadmap creation, etc. by leveraging robust research approaches and methodologies that combine competitive intelligence, patent landscape, M&A, trend analysis and other important parameters. The combination of her education, expertise and professional experiences makes her one of Netscribes lead analysts in the electronics, telecom and semiconductors domains.

Faisal Shaikh:

Faizal has been associated with Netscribes’ Innovation Research team since the last 3 years. He has worked on emerging technology domains including IoT connectivity solutions and management, sensing/antenna technologies for autonomous vehicles and connected cars, 5G technology trends, hardware security solutions, RF front-end for portable devices, advanced semiconductor chipsets, futuristic display technologies, etc.

His areas of interest include semiconductor fabrication and processing, networking and 5G related studies, telecommunications, display technologies, user interfaces, sensors and robotics among others. He has been actively involved in technology assessment/consulting, competitor analysis and benchmarking, and technology roadmap studies that require complete understanding of the ecosystem.

Faizal graduated with a Bachelor’s degree in Engineering with specialization in Electronics and Telecommunications from Mumbai University.

Get your copy now

Please enter the following details to download case studies

Contact Us
  • I agree to receive updates on the latest industry trends, products and services from Netscribes.
  • We respect your right to data privacy and security. You may unsubscribe from our communications at any time. For more information, check out our Privacy Policy.