Custom Agents & Applied Machine Learning
We build agents that do work inside your systems and models that predict outcomes or flag risk. We pick Claude, GPT, Gemini or PyTorch for the job, and test every one against real cases before it goes live.
When you need this
- The same drafting, sorting and checking eats hours every week.
- We have years of data and no way to see what it predicts.
- We've tried chat tools and need something that works inside our own systems.
How we build it
- We pick the job and the real cases to test against.
- Built with Claude, GPT, Gemini or PyTorch, whichever fits the job.
- Tested against those cases before it goes live, and after.
- Put to work inside the systems you already use.
What you get
- Agents that do real work in your systems
- Models built on your data
- Anomaly and risk detection
- Several models on one job, each doing its part
- Testing before launch and after
Works in: Claude, GPT, Gemini, PyTorch, Python.
Questions
- Which models do you use?
- Claude, GPT, Gemini or PyTorch, picked for the job. Several can share one job, each doing its part.
- How do you know it works?
- Every agent and model is tested against real cases before it goes live, and again after.
- What can an agent do?
- Draft, sort, predict and flag inside your systems, from answering common requests to spotting risk in the numbers.
Two ways to work together
Project Engagements
A defined build with a clear finish line. Two to twelve weeks, at a fixed price we quote before work starts.
- Documentation and training included
Retainer Support
The best fit when your list is long. One agreement covers every service. Bring us the next task instead of scoping a new deal.
- Foundation, Growth or Enterprise
- Three-month minimum
Start with a scoping call.
Tell us what you need built. You get a fixed quote before we start.
Get a fixed quote