Powering the Future
With AI Innovation
We develop advanced AI models and routinely implement cutting edge research papers to further our mission of positively impacting 100M lives.
Pioneering Advanced AI Research and Innovation
Our Research Themes Shaping Up Broad AI Models
Atomic AI
We used an ensemble of techniques to create AI models that are up to 50 times smaller. Additionally, we developed techniques to reduce training time and effort by over 50% and memory usage by over 90%.
Reliable Vision
We have developed AI models for computer vision that perform effectively in the presence of translation, rotation, deformation, reflection, colour variations, scaling, and different orientations.
Neuro Symbolic AI
Combining symbolic logic with neural networks could be a promising path to Artificial General Intelligence (AGI). We have integrated logical reasoning into neural networks, using them to tackle problems in medical imaging, multi-modal diagnostics, and more.
Quantum Inspired AI
By applying quantum computing principles to neural networks, we’ve developed a new model using tensor networks. This approach has allowed us to create AI models that are both highly accurate and compact, significantly enhancing their power and efficiency.
Neural Turing Machines
We have implemented NTMs with von Neumann memory architectures to solve complex sequencing and planning problems.
Vector Computing
This new AI approach uses large vector representations for cognitive tasks like reasoning, learning, and memory. It offers a more reliable, predictable, explainable, and robust method for AI development, which we apply to drug design, population health, and more.
Robust AI
We have developed AI models that are robust and stable against adversarial attacks, making them more suitable for citizen-facing deployments.
Spiking Neural Networks & Neuromorphic Computing
We are at an advanced stage in developing efficient techniques for training spiking neural networks (SNNs) that are better and more practical than backpropagation through time.
Large Quantitative Models
We are advancing Large Quantitative Models, a next-gen AI approach, to tackle complex numerical and scientific challenges with unprecedented accuracy.
Energy-Based Models
We are developing Energy-Based Models (EBMs) that enable AI to reason more effectively by learning through energy minimization, leading to more robust and interpretable decisions.
JEPA (Joint Embedding Predictive Architecture)
We are leveraging JEPA, to build self-supervised models that learn abstract representations, enhancing generalization and efficiency in machine learning.
Memory Mosaics
We are exploring AI architectures that store and retrieve knowledge more effectively, enabling long-term memory and contextual reasoning in intelligent systems.
Agentic AI
We use Microsoft’s Autogen and Crew.ai to build Agentic AI systems—autonomous, collaborative AI agents that work together to solve complex tasks with minimal human intervention.
System-2 Intelligence
We are pioneering System-2 Intelligence, an advanced paradigm of intelligence that mimics human reasoning, enabling AI to think abstractly, plan strategically, and adapt to novel situations.
Atomic AI
We used an ensemble of techniques to create AI models that are up to 50 times smaller. Additionally, we developed techniques to reduce training time and effort by over 50% and memory usage by over 90%.
Reliable Vision
We have developed AI models for computer vision that perform effectively in the presence of translation, rotation, deformation, reflection, colour variations, scaling, and different orientations.
Robust AI
We have developed AI models that are robust and stable against adversarial attacks, making them more suitable for citizen-facing deployments.
Early-Stage Working Prototypes & Experiments
Our Moonshots
Bold initiatives that aim to redefine the future of AI. We are pushing the boundaries of what’s possible in artificial intelligence.
Moonshot
Artificial General Intelligence (AGI)
At Wow Research Labs we are working on developing multimodal models for understanding and planning while retaining long term memory. The ultimate achievement in AI would be creating AGI which is superior to human intelligence.
Moonshot
Quantum AI
Quantum computers promise exponential power over classical computers, but we can’t wait 10-20 years. At Wow Research Labz, we have created large AI models designed to run on limited quantum hardware and simulators, offering unprecedented advantages in capability and memory consumption.
Services
We help Enterprises, GCCs and Research Labs implement AI for production-grade systems.
True adoption requires a great user experience and quality backend and frontend engineering in addition to great AI models.
Our parent company, Wow Labz, boasts world-class engineers and designers dedicated to building a seamless user experience tailored to your specific needs. This ensures your AI projects are not only technically sound but also offer exceptional user experiences.
OUR PEOPLE
The Driving Force Pushing Boundaries
in AI Research and Development.
Aditya Yadav
Principal Scientist at Wow Labz, with B.Tech and M.Tech from IIT Bombay, focusing on AI applications in eCommerce, Finance, Satellites, and Drug Discovery.
Stalin Sabu Thomas
Machine learning engineer at Wow Labz, passionate about AI and computer vision, dedicated to solving real-world problems and driving innovation.
Amit Singh
Founder and CEO at Wow Labz, leads with a passion for AI and Blockchain, driving Wow Research Labz and The AI Studio towards innovation in AI.
Roshit Omanakuttan
Co-Founder at Wow Labz and The AI Studio, he is an AI visionary, focused on transforming industries with cutting-edge AI and Blockchain solutions.
and a small team of passionate researchers and engineers.
ENGAGE
Master AI with Expert Talks,
Workshops and Consultations
Expert Talks / Workshops
Book a session for expert talks on bleeding-edge AI or organize an AI workshop.
Consultations
Consult with us on AI research projects or get insights on the latest advancements in AI.
