AI that actually knows your business.
Off-the-shelf AI is good at general tasks. But your invoices don’t look like everyone else’s invoices. Your product codes have a specific format. Your quality reports have fields that generic tools don’t understand. We train AI models on YOUR data so they understand YOUR business. Higher accuracy, fewer errors, and automations that work with your specific documents and processes.
In Practice
What this actually looks like.
We take samples of your actual data, label them with your team’s help, and train models that are tuned to your specific use case. The result is an AI that’s dramatically more accurate on your stuff than any general-purpose tool.
A model trained on your specific invoice formats that extracts data with 99%+ accuracy
A classifier that knows your product catalog and categorizes items automatically
A quality inspection model trained on your specific defect types and tolerance thresholds
How It Works
Our process.
Custom models need data to learn from. We work with your team to collect and label enough examples, then train and validate the model until it meets your accuracy requirements.
Data collection
We gather representative samples of the documents or data the model needs to handle. Usually 50–200 examples is enough to start.
Labeling
We help your team label the training data — marking the fields, categories, or decisions the model needs to learn.
Training and validation
We train the model, test it against held-out data, and iterate until accuracy meets your threshold.
Deployment and retraining
The model goes live and we set up a feedback loop so it gets smarter over time as it sees more of your data.
Who It's For
Is this a fit?
Businesses with specialized documents, products, or processes that generic AI tools handle poorly. If you’ve tried off-the-shelf OCR or classification and it wasn’t accurate enough, a custom model is probably the answer.
What You Get
Deliverables.
- AI model trained specifically on your data and use case
- Accuracy benchmarks with transparent reporting
- Integration with your existing automation pipelines
- Retraining pipeline so the model improves over time
- Full ownership of the trained model
An honest note.
Custom models need data. If you only have 10 examples of something, we can’t train a reliable model on it. We’ll be upfront about data requirements and whether your use case has enough signal to work with.
Let's talk about custom ml models.
30 minutes. No commitment. We'll review your current process and tell you honestly whether automation makes sense for your situation.
Based in Wood Dale, IL — serving the entire O'Hare corridor and Chicago western suburbs.