Design Automation Platform
RAISE™ - the Rise of AI in Semiconductor Engineering, the Generative AI Platform for Semiconductor Engineering
RAISE is an AI‑powered design automation platform made to accelerate the development of AI Accelerators helping semiconductor teams go from AI model to optimized silicon architecture faster, smarter, and at a fraction of the traditional cost.
What is RAISE™
The RAISE™ Platform is an AI-powered design automation platform created by Connexus to automate the generation of AI accelerator IP.
In the traditional semiconductor world, designing a custom AI Accelerator is a manual, high-risk, and multi-million dollar task.
RAISE™ changes the game by integrating AI intelligence into the entire design flow—from AI model profiling and architecture exploration to RTL
generation, verification, and full-system emulation in one unified environment
Faster architecture exploration
Fewer design iterations
Up to 60% lower NRE
RAISE™ makes custom AI accelerator IP accessible — not only to large silicon teams, but also to startups and emerging AI chip companies.
RAISE™ is designed for AI chip architects, ASIC teams, and founders who need a faster, more confident path from AI workload definition to tape-out-ready RTL.
Why Teams Choose Connexus' RAISE™ AI Platform
Teams choose RAISE™ to reduce risk and make better early decisions. RAISE™ aims to compress what used to be months of manual scripting, iteration, and coordaination into a single intelligent platform.
For AI chip architects, ASIC designers, and startup founders, that means more time spent differentiating your product.
What Makes RAISE™ Different
At the core of RAISE™ is an AI‑driven loop that learns from your workloads and design outcomes to continuously refine both the architecture and the RTL.
Instead of static tools, you get a self‑optimizing environment that closes the gap between algorithm and silicon.
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Built for AI chips
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Integrated with Connexus' AI IP & flows
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Model‑native
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Autonomous optimization
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End‑to‑end flow
RAISE™ is not just another automation tool — it is an AI-driven decision platform.
Key Capabilities
Understand your workload
Ingests models from common frameworks to analyze compute, memory, and dataflow, revealing where acceleration matters most and guiding architecture choices early.
Explore architectures before RTL
Rapidly sweeps architectural parameters (precision, array size, memory, sparsity, frequency) and visualizes PPA and latency tradeoffs to converge faster on the right design.
From Spec to RTL
Translates human‑readable specifications into behavioral models and synthesizable RTL, along with verification infrastructure such as testbench shells and coverage objectives.
Debug faster with AI in the loop
Integrates with EDA tools to identify functional issues, coverage gaps, and PPA bottlenecks, using AI-driven analysis to guide fixes and refinements.
Understand your workload
Applies automated, PPA-aware optimizations—pipelining, retiming, clock gating, resource sharing—with iterative feedback for silicon-realistic results.
Validate across platforms
Validates workloads across CPU, GPU, RTL, FPGA, and silicon to ensure correctness and consistency across abstraction levels.
