Mankash AI Labs builds products for real-world AI operations, conducts research in memory-centric architectures inspired by the human brain, and consults on next-generation AI — from neuromorphic hardware to neuroscience-driven design.
Mankash AI Labs LLP is an AI company driven by the conviction that the next generation of intelligence will come from architectures inspired by how the human brain works — memory-centric, topology-driven, and predictive-corrective by design.
AI workflows that actually hold up in production.
Zentash is the operating layer for teams running real AI workflows — with built-in supervision, testing, exception handling, and continuous improvement. Not another builder. A system for the work after the build.
We're building the next generation of tools grounded in our research. Stay tuned.
Our research is grounded in the belief that intelligence is fundamentally about memory, connectedness, and architectures that predict and correct.
Inspired by how the human brain forms, stores, and retrieves memories. Symbolic RAG using thought representations for retrieval grounded in structured knowledge — not just chunked text. Better traceability, debuggability, and handling of complex narratives.
Research toward sparse embedding based memory storage and retrieval, inspired by how biological neural networks encode and recall information. Efficient, high-dimensional representations that enable long-term memory in AI systems.
Research into topology-driven, neuromorphology-based architectures where intelligence emerges from the connectedness of concepts. Predictive and corrective systems that revise, reconcile, and repair their internal state when new evidence appears.
We work with organizations navigating the frontier of AI — from hardware to architectures to the neuroscience that inspires them.
Expertise spanning deep learning, LLMs, neuro-symbolic AI, chip design, and neuroscience. Creator of GIPCA (General Intelligence Predictive and Corrective Architecture) and BISLU (Brain Inspired Spoken Language Understanding). Multiple US and India patents in AI architectures and thought representation systems.
Core thesis: AGI will come from architectures where intelligence is the connectedness of concepts — memory-centric, topology-driven, and predictive-corrective by nature.
Whether you're a startup building differentiated AI or an enterprise team prototyping future-facing architectures — we'd like to collaborate.