Unique problems demand real answers.
AdlerBaer designs, builds, and implements systems across AI, detection, engineering, and software—built for real environments, not ideal ones.
The AdlerBaer Methodology
We’re not just code writers. We build systems—end to end.
That means clarity on the problem, a working prototype fast, and implementation that holds up in the field.
Understand the constraints and failure modes.
Design the architecture for high-stakes reliability.
Execute the system: integrate, deploy, document.
Implement in the field until it’s stable.
Detection → Decision
Measurement, anomaly detection, confidence scoring, pass/fail logic, ranking, matching.
Practical AI & Automation
Models and agents that reduce manual work and increase consistency.
Apps & Operational Tools
Dashboards, capture workflows, reporting pipelines, integrations.
Prototypes → Deployments
Rapid validation, then hardening into something reliable and maintainable.
Field Implementation
Setup, training, iteration, and stabilization where the edge cases live.
Built for cross-discipline work.
Where sensing meets software, data becomes decisions, and execution matters.
Systems Design & Engineering
Architecture, workflows, reliability, and validation.
Detection & Measurement
Signal capture, tolerance logic, anomaly detection, confidence.
AI & Automation
Classification, matching, ranking, forecasting, human-in-the-loop.
Apps & Tools
Dashboards, internal tools, capture apps, reporting, integrations.
Rapid Prototyping
Fast prototypes that surface risks early and guide the build.
Field Implementation
Rollout support, training, instrumentation, iteration until repeatable.
Understand. Design. Execute.
A simple loop for complex projects.
Understand
Define outcomes, constraints, edge cases, and success metrics.
Prove
Build the smallest thing that validates the signal and workflow.
Execute
Turn it into a usable system: UI, automation, integration, documentation.
Implement
Deploy in real conditions, train users, iterate, stabilize.
Real adoption is part of the job.
Most solutions fail at rollout. We support implementation where it matters:
- deployment in real conditions
- operator-friendly workflows
- training and checklists
- instrumentation and validation
- iteration until stable and repeatable
A solutions studio built for hard problems.
AdlerBaer works in the space between disciplines—where deep understanding is required and the solution has to run in the real world. We bring systems thinking, strong engineering judgment, and a bias toward execution.
Principles
- understanding is a deliverable
- prototypes reveal truth quickly
- field reality beats lab assumptions
- clean outputs beat vague “insights”
- if it needs heroics to run, it’s not done
Industrial Computing & Optimization
Access AdlerBaer’s toolkit for real-world complexity. From raw 3D geometry analysis to high-speed spatial optimization, we convert messy inputs into clean, operational decisions.
Bring us the problem.
If it’s complex, ambiguous, or expensive to get wrong—we can help.
Include:
- what you’re trying to achieve
- where it breaks today
- what signals/data exist
- timeline and constraints
- what “success” means