About Eureka Maps Inc.
Industrial AI and Edge Compute Solutions
Eureka Maps develops deterministic, ultra‑fast machine‑learning engines for real‑time decision systems in industrial, automotive, robotics, medical, and embedded environments. Our technology is built on HPC‑grade Fortran/C++ pipelines, designed for edge devices, and validated on national‑scale workloads. We focus on determinism, reproducibility, and low‑latency execution for safety‑critical systems.
Our Core Products
1. Binary Random Forest Engine (Edge Compute)
A tiny, deterministic, high‑throughput classifier designed for industrial imaging and embedded systems. Runs at hundreds of FPS on CPU, GPU, or low‑power silicon.
Deterministic execution for safety‑critical environments
Ideal as a prefilter for robotics, automotive cameras, medical imaging, and smart‑city sensors
Reduces downstream CNN/NPU workload by 80–90%
Deployable in Fortran and C++
Built for OEMs and integrators who need fast, predictable, low‑latency inference at the edge
2. Deterministic HPC Code‑Generation Engine
A contract‑driven, compiler‑verified code generator that produces optimized Fortran/C++ kernels for scientific, industrial, and embedded workloads.
Deterministic, reproducible, architecture‑stable code generation
Produces production‑ready kernels from precise contracts
Eliminates large portions of HPC engineering labor
Suitable for aerospace, robotics, medical imaging, industrial sensors, climate modeling, and national‑scale compute
Designed for organizations requiring sovereign, local, cloud‑free computation with full IP control
⛏️ Geoscience & Exploration Technology (Our Origin Story)
Eureka Maps’ deterministic machine‑learning engines were originally developed and validated in national‑scale mineral exploration. Instead of relying on traditional geological interpretation, we built a fully algorithmic exploration workflow that uses gravity‑derived features, DEM‑based corrections, and a deterministic Random Forest model to generate reproducible mineral‑target probability maps.
QGIS‑Integrated Exploration Engine
Our exploration engine combines:
Deterministic Random Forest inference (no stochastic drift)
Gravity + DEM feature engineering optimized for large‑area targeting
GPU‑accelerated execution with a 38‑second benchmark for all of Canada
Automated preprocessing pipelines (DEM correction, elevation normalization, gravity adjustments)
Reproducible, contract‑driven ML workflows validated against known deposits
This system demonstrated that deterministic ML can outperform conventional exploration heuristics, producing consistent, high‑resolution targeting results using only public geophysical datasets. Today, the exploration engine remains an active product line — not because we are a geology company, but because it showcases the national level scalability, determinism, and real‑world reliability of the same algorithms now used in our industrial and embedded AI systems.
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“Eureka Maps Inc. has revolutionized the way we approach metal mining exploration. Their machine learning solutions have helped us identify valuable targets with precision and accuracy.”
“Working with Eureka Maps Inc. was a game-changer for our exploration team. Their technology and expertise have allowed us to streamline our processes and make more informed decisions.”
“Eureka Maps Inc. exceeded our expectations in every way. Their team went above and beyond to deliver results that have had a significant impact on our exploration efforts.”