Building the
world of tomorrow
Infrastructure development is broken and fragmented by manual workflows, disconnected data, and regulatory bottlenecks.
Artemis replaces this with a single autonomous system: precision engineering at the speed of Artificial Intelligence.
Autonomous Routing
PIRL agents generating and ranking compliant corridor candidates.
AI-Powered Hydraulics Calculations
Routing is only the start. ZEUS validates candidates against engineering constraints and produces defensible deliverables—so every decision remains auditable.
Physics-Based Validation
Verify designs against real-world constraints and operational requirements.
Continuous Simulation
Test performance across thousands of scenarios in real-time.
Automated Compliance
Verify against international standards like ASME, API, ISO, and CSA.
Engineering Validation
Hydraulics configuration, simulation, and CFD-grade visualization.
Autonomous Geospatial Data Acquisition
ZEUS infers your project AOI, pulls the best available datasets for that geography, and normalizes them into decision‑grade layers for routing and engineering.
AOI inference
Infer the corridor geography from project scope and constraints.
Best‑source retrieval
Fetch authoritative basemaps, elevation, and environmental layers for that region.
Normalization & lineage
Standardize projections, run QA, and retain metadata for audit and sign‑off.
Route Comparison Interface
Decision‑grade comparison of candidate corridors with consistent metrics, constraints, and risk signals.
Trade studies
Side‑by‑side candidates across key metrics.
Constraints & risk
Understand what drives feasibility and cost.
Selection rationale
Defensible summaries for stakeholders.
Project Management Intelligence
Procurement intelligence integrated into engineering: discover suppliers and services aligned to project geography.
Supplier discovery
Search by category and capability.
Geographic alignment
Filter supply options to corridor regions.
Planning inputs
Surface procurement considerations early in FEED.
Automated Cost Estimation
Turn candidate corridors into defensible quantity and cost signals—so teams can size scope, compare options, and plan execution earlier.
Quantity signals
Automated takeoffs from geometry and terrain to estimate scope drivers.
Scenario deltas
Compare candidates to understand what drives cost and constructability.
Planning outputs
Export estimate summaries to feed FEED and downstream workflows.
Systematic automation & optimization of
physical infrastructure.
We are a Canadian AI research lab. We build end‑to‑end AI systems that optimize critical infrastructure projects, powering EPCs with faster, decision‑grade engineering from feasibility through execution.