Sensing and edge AI
Select sensors, acquisition, compute, connectivity, and edge architecture around the real environment, latency, power, reliability, and cost constraints.
Custom AI engineering
Build the complete AI solution—from physical signal to production decision.
Runner Engineering combines product, manufacturing, software, and AI engineering to create purpose-built systems. We can connect sensors and edge compute to data pipelines, models, applications, automation, and the validation needed for dependable operation.
Discuss your challengeWhat we solve
Engineering work tied to measurable outcomes.
Models and data systems
Develop data strategy, labeling, retrieval, model selection, evaluation, and guardrails around measurable task performance—not demos alone.
Applications and automation
Integrate models into APIs, operator tools, engineering workflows, decision support, quality inspection, or production systems.
Deployment and validation
Engineer monitoring, human review, cybersecurity considerations, failure handling, version control, and ongoing performance measurement.
How the work proceeds
- 01Start with the operational decision, user, environment, economics, and failure consequences.
- 02Prototype the highest-risk hardware, data, model, and integration assumptions.
- 03Engineer the production system and interfaces around measurable acceptance criteria.
- 04Validate end to end, deploy deliberately, and monitor real-world performance.
Strong project fit
- ■AI must interact with a physical product or production process
- ■Off-the-shelf tools cannot meet the workflow or technical constraints
- ■A prototype needs disciplined engineering to become production-ready
- ■Hardware, software, data, and business requirements must work as one system