About
Built by people who have seen automation fail at scale
Neuralzome began with a specific observation: automation was failing less from hardware than from software unable to reason about the unknown.
Mission
Uncertainty is the operating condition, not failure
Industrial environments vary through part tolerances, fixture drift, lighting changes, and unexpected workspace objects. Traditional programs treat these as exceptions. We treat them as normal conditions software must handle gracefully.
Neuralzome helps robots assess what they know, act within confidence bounds, and flag decisions for human review. This is not AI replacing operators. It makes operators more effective.
Software that acknowledges uncertainty beats software that guesses confidently.
Team
The people building it
A small team grounded in industrial automation and applied machine learning.
Mohan Sivam
Co-founder and CEO
Built real-time control pipelines for industrial robotics. Studied brittle-program failure across production deployments, connecting learned policies to production-ready deployment. Leads product and customer work.
Arjun Krishnamurthy
Co-founder and CTO
Works across embedded systems, robotics firmware, sensor fusion, and real-time inference pipelines for industrial manipulation platforms. Leads architecture and the perception-to-decision stack.
Faraz Ahmad
Head of Engineering
Works across distributed systems and edge-compute, building low-latency decision services for logistics automation. Owns runtime implementation, controller integration layer, and edge deployment tooling.
Story
How we got here
2023
Pattern recognition in deployments
In 2023, repeated brittle-program failure across automated cells led the founding team to develop a probabilistic decision layer for real-world uncertainty.
2024
First production validation
In 2024, the initial decision runtime ran in high-mix assembly with four fixture variants cycling through one cell. It adapted to variant changes without offline reprogramming.
2025
Platform architecture finalized
In 2025, feedback from early deployment partners shaped the three-layer architecture, Perception Bridge, Decision Runtime, Controller Interface. Integrations expanded to four major brands.
2026
Early access opens, angel-backed
Neuralzome received angel backing in February 2026 and opened structured early access for robotics engineering teams. Partners are validating assembly, picking, and inspection tasks in Bengaluru and Pune.
Values
What shapes how we build
Honesty about uncertainty
A system that admits what it does not know beats one that guesses confidently. We build that principle into the product.
Production before papers
We measure deployed cells and handled variants, not benchmark results. Theory matters, but it is not sufficient.
Operator trust is earned
Automation that overrides human judgment loses trust. We surface reasoning and defer when appropriate.
Integrate, do not replace
Existing controllers, safety systems, and process knowledge matter. Neuralzome adds reasoning without forcing teams to start over.