From idea to silicon, faster
Import requirements from any source — text, images, CSV, Python — and let ACI generate detailed specifications, engineering plans, and optimized RTL for correctness and PPA.
SoC architects, front-end designers, RTL engineers — and more
Silicon Valley, California
From requirements to optimized RTL in record time.
Comprehensive design capabilities
Every tool an SoC architect needs to go from concept to production-ready RTL.
Multi-Format Input
Requirements from text, images, CSV, Python, and more — parsed and structured into actionable design inputs.
Architectural Exploration
Evaluate architectural variants to find optimal performance tradeoffs. Every section, port, parameter and figure are queryable. An atomic-fact substrate and feature registry.
Microarchitecture Specs
Cycle-accurate μArch: every FSM, datapath and timing budget derived and proven; register map, CDC notes, SVA assertions, requirement→feature allocation map, module hierarchy, and bound IP.
Formally-checked RTL
Not stochastic problem solving; a multi-module RTL tree generated from the formalized spec with a per-module dependency manifest.
Independent verification suite
4-way self-checked and spec-aligned DV testbenches that drive to functional correctness alongside the RTL.
PPA Pareto
PPA optionality on the first pass, no zero-sum trade-offs. Center the design and explore available margin right from the microarchitecture.
From whiteboard to optimized implementations
As an SoC architect, Alana starts each project at a blank whiteboard — raw requirements scattered across specs, spreadsheets, and sketches. The hard part is turning that intent into optimized silicon without losing weeks to manual translation. Her goal is simple: go from whiteboard to production-ready implementation, fast.
With Cognichip ACI, Alana imports requirements from any source — text, images, CSV, or Python — parsed into structured design inputs. ACI explores architectural variants for the best performance trade-offs, generates detailed specs and engineering plans, and emits synthesizable, formally-checked RTL. It produces spec-aligned DV testbenches alongside the code and surfaces PPA optionality on the first pass.
For the company, this collapses months of iteration into hours, turning ideas into working designs with software-like speed. Teams evaluate more architectures, ship correct-by-construction RTL sooner, and hit power, performance, and area targets on the first pass — accelerating every new chip from concept to silicon.
From serial to spherical
In ACI, the model is the design: specifications, RTL, tests, constraints, and PPA no longer live as disconnected artifacts but converge into a single living, evolving model — the connective tissue across every design abstraction. This collapses the traditional serial waterfall into a spherical workflow, where every abstraction evolves concurrently with omni-directional visibility. The result is one always-consistent source of truth — so the model isn’t a document about the chip, it is the chip.
Above the model
Living specs, RTL, tests & constraints — no manual handoffs
Orchestrates the tools and tasks around the model
Physics-informed foundation models
“The Model is the Design”
Below the model
Persistent project context that evolves with the design
Scalable training and inference infrastructure
The industry’s largest chip-design dataset
The stack
Layered, top to bottom
The loop
A self-learning flywheel
From requirements to RTL, in conversation
Alena describes what she needs; Cognichip weighs the architectures, recommends the most area-efficient one, and generates synthesizable RTL — live.
Measurable results at every stage
A detailed 55-page spec taken end to end by a single engineer — what used to run for weeks now lands in days.
One detailed 55-page specOne engineer20 weeks down to a few days
Microarchitecture spec, RTL, middleware, testbench authoring, functional closure, debug and finalize — all completed in a few days.
3x
Faster from concept to RTL
75%
Lower development cost
100+
Architecture variants evaluated
“Cognichip's ACI serves as the essential intelligence layer for the next-generation AI semiconductors. It is expected to reduce design costs by as much as 75% and cut timelines by 50%.”
— Yoshitaka Kitao, CEO, SBI Holdings
Artificial Chip Intelligence ACI™ collapses months of engineering iteration into hours through its physics-informed foundation model, delivering optimized designs that meet power, performance, and area targets on the first pass.
Currently engaged with 30+ semiconductor companies, including many of the top 20 semiconductor leaders.
Start your next chip design with ACI
Go from requirements to optimized RTL in a fraction of the time.
Backed by $93M from Seligman, SBI, Mayfield, Lux Capital, and Candou Ventures