Ambient Scientific

A new paradigm for efficient AI compute

We build energy-aware, programmable, mixed-signal AI processors that unlock orders-of-magnitude improvements in performance-per-watt, enabling scalable intelligence across every edge device from always-on sensors to real-time perception.

A mission dictated by physics

We exist to make intelligence truly ambient from the smallest sensor to the most demanding edge device.

Patching legacy compute is a dead end, forcing modern AI through decades-old digital bottlenecks, guaranteeing power drain and wrecked economics. So we re-architected compute from the metal up: new analogue circuits, a native AI instruction set, and the developer tools to match. The result is breakthrough AI performance at a fraction of the power and silicon area and an invisible foundation built to last as long as the age of AI itself.

100+Patents

Deep IP and proprietary breakthroughs.

50+Design Wins

Teams are already building with Ambient at the edge.

3Global R&D Sites

Santa Clara · Bangalore · Singapore.

Our minds powering the revolution

Decades of experience in silicon design, AI algorithm development, and hardware deployment.

GP Singh

Founder, CEO

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Madanjit Singh

VP Software

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Swapnil Sapre

AVP Hardware

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Steven Edelson

Corporate Strategy

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Amir Sherman

Business Development

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Saharsh Singhania

Marketing

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Greg Maturi

Chief Hardware Architect

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Raghu Rajagopal

HR & India Operations

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Advisory Board

Sunil Kaul

Ron Melanson

Raja Manickam

Randy Wilhelm

Driven by physics. Defined by our DNA.

We build from first principles and validate everything in silicon.

Grounded in Science

Our work is based on physics, not assumption. Every decision, from design to architecture, follows measurable truth and validation. Our technology extends beyond niche applications, enabling accessible and adaptable intelligence.

Stay Curious. Stay Skeptical.

We question assumptions, challenge conventions, and continuously refine our understanding. Progress comes from disciplined curiosity grounded in first principles.

Chase the Impossible

We focus on constraints others accept as permanent. Limits in power, performance, and scalability are not trade-offs to manage, but problems to fundamentally solve.

Protect What Powers Us

Energy is the defining constraint of AI. We design systems that deliver exponentially higher performance while consuming a fraction of the power, making intelligence sustainable at scale.

A globally resilientecosystem

Backed by Tier-1 foundries and integrated with the world's leading technology distributors and platforms.

Global Footprint

Headquartered in Santa Clara, CA with dedicated R&D and hardware labs in Bangalore and Singapore.

Distribution & Supply Chain

Authorized global distribution through trusted enterprise partners ensuring secure, high-volume silicon delivery.

Global footprint map

TECHNOLOGY PARTNERS

Media Coverage

Ambient Scientific Featured in IoT Electronic World UK

Electronic World UK highlights how Ambient Scientific's energy-efficient compute architecture is reshaping Edge AI, delivering high-performance intelligence within ultra-low power constraints.

June 12, 2026
Total funding: $72M
4 funding rounds

RECOGNITION

Ambient Scientific Featured in IoT Insider

Sub-threshold AIMC achieving 0.8mW continuous inference at the premier silicon conference.

DEPLOYMENT

Physical AI will not scale on Cloud-Dependent Architectures

Real-world validation across wearables and edge devices at scale.

Join Our Team

Help us build the physical foundation of AI. Work alongside researchers who invented AIMC to design analog arrays, write physics-aware compilers, and ship silicon that rewrites compute economics.

Partner with Ambient.

Co-engineer the next generation of intelligent edge devices. Integrate GPX processors into your hardware with full design support, reference implementations, and production backing.

Validate your architecture.

Book a technical deep dive with our field application engineers. Get evaluation boards, characterisation data, and measure real power on your workload not simulations.