Idein vs Neysa

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Idein employs 1-50 people, while Neysa has 50-200 employees.

Neysa has raised more in total funding at $30M, compared to Idein's $15M — a gap of $15M.

Neysa holds the higher Awaira Score at 55/100, compared to Idein's 38/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 17-point gap that reflects meaningful differences in scale or traction.

Idein was founded by Akira Nakamura in 2015. Neysa was founded by Shashank Samala in 2023. Visit each company's profile on Awaira for a full founder biography.

Idein: Idein develops an edge AI platform that enables deployment and management of AI inference applications on existing IoT camera and device infrastructure through cloud-based model deployment and device management, allowing enterprises to run computer vision AI on low-cost Raspberry Pi and similar ARM devices without custom hardware. The Tokyo company Actcast platform provides a software runtime and device management layer for deploying AI vision applications across distributed device fleets.\n\nThe company raised approximately $15 million in venture funding from Japanese investors. Idein targets retail, manufacturing, and logistics operators that want to deploy AI vision capabilities across large numbers of edge cameras without the capital expenditure of replacing existing camera hardware with AI-capable devices. The Actcast platform manages software updates, model deployment, and inference result collection from distributed device fleets through a cloud management interface.\n\nIdein competes in the edge AI deployment platform market against AWS IoT Greengrass, Azure IoT Edge, and dedicated computer vision edge platforms from companies including Axis Communications and Hanwha Vision. The value proposition of enabling AI inference on commodity ARM hardware rather than requiring proprietary AI camera hardware is particularly relevant in cost-sensitive retail and logistics deployments where the capital cost of replacing thousands of existing cameras with AI-capable alternatives would be prohibitive. Japan strong retail and convenience store density creates a natural market for edge AI retail analytics that can operate on existing store camera infrastructure. Neysa: Neysa builds cloud infrastructure purpose-built for AI workloads, offering GPU-accelerated compute, storage, and networking optimized for training and inference at scale. The platform targets enterprises and AI labs in India that need high-performance compute without the cost and complexity of hyperscaler lock-in.\n\nThe company raised approximately $30M in Series A funding and has attracted early adopters across the Indian AI startup ecosystem seeking affordable, low-latency GPU access. Neysa operates its own data centers with an emphasis on cost-per-token efficiency for large model training.\n\nAs Indian AI labs and enterprises scale their model development ambitions, Neysa sits at the center of a critical infrastructure gap. Domestic GPU cloud capacity is severely constrained relative to demand, and Neysa is one of the few India-headquartered players building the physical and software stack to address it.

Idein was founded first in 2015, giving it 8 years of additional market experience. Neysa was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Idein has approximately 1-50 employees, while Neysa has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Idein and Neysa are direct competitors — both operate in the AI Infrastructure space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.