Services
Problem-first technical services for organizations building complex physical products: simulation, estimation and control, physics-informed AI, scientific software, and multi-sensor integration.
Spatial capture and sensor integration
Focus: Photogrammetry, LiDAR, embedded timing, multi-sensor calibration, ROS 2, and traceable 3D data workflows.
Outcomes: Scoped capture pilots, integration diagnostics, custom capture rigs, and measurable handoff criteria.
See spatial capture and sensor integrationSimulation and modeling
Focus: Finite element and multiphysics simulation, structural and thermomechanical analysis, digital twins, and reduced-order models.
Outcomes: Fewer prototype cycles, earlier validation, and faster design iteration.
Estimation and control systems
Focus: State estimation, sensor fusion, robotics and UAV control, industrial control design, and embedded estimation.
Outcomes: Robustness, stability, observability, and confidence before deployment.
Physics-informed AI
Focus: Hybrid physics and ML models, sparse-data learning, model-assisted perception, and physics-guided inference.
Outcomes: Better generalization, lower data requirements, and physically consistent predictions.
Scientific software and HPC
Focus: Simulation infrastructure, GPU acceleration, custom solvers, and scalable ML systems.
Outcomes: Scalability, reproducibility, and readiness for production deployment.
How engagements work
Each step produces a written result you can act on, whether or not the work continues with Numeriworks.
- Step 1
Introductory conversation
Discuss the technical problem, current constraints, and when a decision is needed. We say plainly whether Numeriworks is a good fit.
- Step 2
Diagnostic or feasibility assessment
A bounded, paid first step with a written deliverable: a failure review, method comparison, risk register, or capture specification, plus a recommended next scope.
- Step 3
Pilot or implementation sprint
Typically two to six weeks against a defined deliverable, such as firmware, a ROS 2 node, a calibration procedure, a simulation study, or a site pilot, with agreed acceptance tests.
- Step 4
Handoff or continued support
Documentation, tests, and data handed to your team, with optional follow-on work, repeat capture, or advisory support.
Typical Engagements
Flexible ways to work depending on timeline, technical risk, and team capacity.
Technical advisory
Prototype development
Simulation studies
Embedded algorithm development
Research collaborations
Pilot projects
Representative toolchain
Tools are chosen per problem; these are the ones used most often.
Simulation
deal.II, Abaqus, ANSYS
Machine learning
PyTorch, CUDA
Robotics and sensors
ROS 2, OpenCV
Infrastructure
MPI, distributed systems, cloud pipelines
Need help selecting the right engagement?
We can scope the problem, define constraints, and recommend the smallest engagement that produces a usable technical result.