The startup offers a turnkey software ecosystem that abstracts novel processor architectures and supplies cross‑architecture SDKs, compiler extensions, and performance‑optimized libraries for AI/ML, HPC, datacenter, and IoT workloads. Through a cloud‑hosted portal it provides profiling tools, automated benchmarking, CI/CD pipelines, and consulting services to enable semiconductor designers and cloud providers to integrate and tune applications with minimal effort.
Funding
Funding not disclosed
Founders
Product
Problem
Semiconductor manufacturers and cloud infrastructure providers often launch new processor architectures without a mature software stack, leading to prolonged integration cycles and suboptimal performance for AI/ML, HPC, datacenter, and IoT workloads. The lack of standardized development tools and performance‑tuned libraries forces customers to invest heavily in in‑house engineering to achieve acceptable runtime efficiency.
Solution
The company delivers a turnkey software ecosystem that abstracts the low‑level details of novel processors and supplies a curated set of development tools, compilers, and performance‑optimized libraries. By aligning the ecosystem with the target hardware’s micro‑architectural features, it enables developers to compile, profile, and tune applications with minimal manual effort. The service includes reference implementations, automated benchmarking, and continuous integration pipelines that validate performance regressions across AI/ML, HPC, datacenter, and IoT use cases. Customers access the ecosystem through a cloud‑hosted portal that provides versioned SDKs, documentation, and support tickets, allowing rapid time‑to‑market for new silicon. The model also offers consulting and custom optimization services to address workload‑specific bottlenecks.
Target Audience
Primary customers are semiconductor design houses and cloud service providers that need a ready‑made software stack to enable third‑party developers to exploit new processor capabilities across AI/ML, HPC, datacenter, and IoT applications. The ecosystem also serves system integrators and OEMs building hardware‑accelerated solutions that require validated, high‑performance libraries out of the box.
Features
- Cross‑architecture SDK with compiler extensions that expose processor‑specific intrinsics while preserving source portability
- Pre‑built, vectorized math and deep‑learning kernels (e.g., BLAS, FFT, CNN) tuned for the target ISA and memory hierarchy
- Integrated profiling suite that captures latency, bandwidth, and power metrics, feeding automated tuning heuristics
- CI/CD pipelines with hardware‑in‑the‑loop testing to ensure regression‑free releases of libraries and tools
- API‑driven package manager delivering version‑controlled binaries and source artifacts to developer workstations and cloud VMs
- Comprehensive documentation portal with code samples, migration guides, and best‑practice tutorials for AI/ML, HPC, datacenter, and IoT workloads
- Dedicated support channel offering performance consulting, custom kernel development, and issue triage