When off-the-shelf AI is not enough.
Some problems need custom work: forecasting demand, predicting equipment failure, reading documents, or monitoring sites with connected sensors. We design and build practical machine learning and IoT solutions, scoped tightly and built to pay for themselves.
Illustrative readings.
- Demand and staffing forecasts
- Predictive maintenance for equipment
- Cold-chain and environment monitoring
- Invoice, form and document processing
- Quality checks from photos
- Pricing and quote estimation
Custom AI for specific, valuable problems
Most small businesses get the biggest wins from receptionists, chatbots and automation. But some operations have a specific, expensive problem that standard tools cannot solve, such as unpredictable demand, costly equipment downtime or mountains of paperwork.
That is where custom machine learning and IoT help. We start with a small proof of concept on your data to prove the value, then build it into your operations with clear alerts and dashboards.
- Clear business case before building
- Small, fast proof of concept
- Integrated into tools your team already uses
Machine learning and IoT, built for operations
Forecasting
Predict demand, call volume or inventory needs so you can staff and stock with confidence.
Predictive maintenance
Spot failing equipment from sensor patterns days before a breakdown.
IoT monitoring
Temperature, humidity, vibration and energy sensors with real-time alerts.
Document AI
Extract data from invoices, forms, contracts and receipts into your systems automatically.
Computer vision
Check photos for quality, damage or completeness, for example after a job.
Custom AI agents
AI assistants connected to your internal data that complete multi-step tasks for your team.
De-risked delivery
Scope
We define the problem, the data available and what success looks like in numbers.
Proof of concept
A small model or sensor pilot that proves the value on your real data.
Build
If it works, we build it into your operations with alerts and dashboards.
Monitor
We monitor accuracy, retrain on new data and maintain the system.
Example projects
Cold-chain monitoring
Sensors in coolers alert managers before food safety limits are reached.
Demand forecasting
Forecast seasonal call volume to plan technician schedules weeks ahead.
Document processing
Extract data from intake documents and invoices, cutting manual entry.
Do I need a lot of data?
It depends on the problem. Some forecasting needs a year or more of history; document AI and monitoring can start with very little. We assess this in the scoping phase.
How much does a custom ML project cost?
We start with a fixed-price scoping and proof of concept so you know the value before committing to a full build.
Who owns the model?
You do. Models and code built for you are yours, and run in your accounts or ours as you prefer.
What sensors do you use?
Commercial off-the-shelf sensors for temperature, humidity, vibration, energy and more, connected over Wi-Fi or cellular.
Is this overkill for a small business?
Often, yes, and we will tell you. Most small businesses should start with automation. Custom AI is for specific high-value problems.
How do you keep models accurate?
We monitor performance and retrain on new data on a schedule, with alerts if accuracy drops.
Have a problem standard tools can’t solve?
Tell us about it. We will tell you honestly whether custom AI is worth it and what a small proof of concept would look like.
Or call +1 (971) 349-1398 · ranklyte@gmail.com