Compiler + runtime
ABI-v6 production foundationDeterministic generated C, strict C/C++ integration, lifecycle checks, and numerical proof replay form the common v1 foundation.
MicroQuant v1 turns bounded, statically shaped integer graphs into deterministic ABI-v6 C. The promoted schemes are W8, PCQ4, SPQ4, KARQ, and mixed precision, with explicit limits, caller-owned workspace, and no runtime model parser.
Every accepted model is validated before output is committed. Unsupported shapes, operators, quantization, targets, and malformed inputs fail with structured diagnostics.
Canonical ABI-v6 JSON, source-authorized JSON, quantized ONNX QLinearMatMul, and signed-int8 TFLite fully connected graphs enter the same typed compiler path.
Download machine-readable status →MicroQuant v1 is available through customer-specific GA engagements. We bind the model, generated artifacts, firmware, target toolchain, verification, and support to the exact implementation instead of offering a one-size-fits-all generic binary.
Deterministic generated C, strict C/C++ integration, lifecycle checks, and numerical proof replay form the common v1 foundation.
The exact ESP-IDF toolchain and generated-source path are ready for customer qualification; additional microcontrollers are evaluated on demand.
Board measurements, received-byte parity, resource budgets, and integration tests are produced for the customer's exact model and firmware.
Each engagement completes the production signing, commercial terms, acceptance, support, and lifecycle package for that customer-specific release.
The development workflow separates admission, compilation, received-byte verification, and firmware ownership so each boundary can be tested independently.
Validate the model format, graph envelope, quantization, limits, target, and proof prerequisites without writing output.
Create deterministic generated C, manifests, integrity identities, and an explicit manual source list.
Verify the received kit, compile the declared files, provide caller-owned buffers, and retain target acceptance as a separate activity.
Share the model format, graph shape, target, and constraints. We will qualify the fit and scope a customer-specific GA implementation for your product.
We will follow up at .