Services
Integration of neuromorphic chips that mimic neuro-biological architectures of the human nervous system, offering unprecedented energy efficiency for running complex neural networks at the edge. Sub-services include neuromorphic AI edge deployment, spiking neural network development, ultra-low power AI sensor integration, and neuromorphic hardware-software co-design consulting.
Deployment of spiking neural networks and event-driven AI models onto neuromorphic hardware like Intel Loihi or BrainChip Akida for ultra-low power, always-on inference at the edge, enabling new classes of battery-powered smart sensors and autonomous devices.
Custom design and training of spiking neural networks (SNNs) using frameworks like Nengo and Lava to leverage the temporal dynamics and sparse computation of neuromorphic processors, solving problems in real-time signal processing and sensory data fusion.
Joint architectural design of custom silicon and the algorithms that run on it, optimizing neural network topologies for specific neuromorphic chip architectures to maximize energy efficiency and computational throughput for specialized applications.
Integration of neuromorphic processors with advanced sensor arrays (e.g., event-based cameras, MEMS) to create intelligent sensing systems that consume microwatts of power, enabling perpetual operation for environmental monitoring and predictive maintenance.
Development of perception and decision-making systems for robots and drones using neuromorphic computing, providing millisecond-latency responses with minimal energy consumption for navigation and object avoidance in dynamic environments.
Specialized optimization of SNN models and runtime systems for specific neuromorphic hardware targets, focusing on maximizing inference speed, minimizing power draw, and ensuring deterministic latency for real-time industrial applications.
Strategic advisory and architectural design for incorporating neuromorphic computing into enterprise tech stacks, evaluating chip vendors, defining integration patterns, and building roadmaps for phased adoption from prototype to production.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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