OUR STORY
About StayCharted
StayCharted turns the decisions your team keeps making into a model that makes the next ones.
We’re building StayCharted and our first product, StayCharted AI Model Trainer (AMT), in Austin, Texas.
Most teams have already categorized thousands of things: support tickets, products, invoices, contract clauses, photos. AMT turns those examples into a private model that learns to categorize new ones, with no model-training code and no machine learning team. You can:
- Train on the text, photos, or photos with their notes your team has already categorized, or start from rows that have no categories yet.
- Suggest SharePoint and file permissions from your permission history.
- Learn answers with several parts, like a set of groups or an account and cost center.
- Test the model on examples it has never seen, and see how often it’s right and which categories it mixes up.
- Review uncertain answers, and use your team’s corrections to train the next version.
- Use it by filling a CSV or Excel file, through the API, directly in Google Sheets, or from Claude and ChatGPT.
THE FOUNDER’S PERSPECTIVE
Why I built StayCharted
I’m Manoj Mohandas, founder of StayCharted. Before StayCharted, I was one of the co-founders of FileCloud, an enterprise file sharing and data governance platform now used by more than 3,000 organizations in over 90 countries. As CRO, I was responsible for sales, solutions engineering, business development, technology alliances and revenue operations.
Building FileCloud taught our founding team a lot about how businesses adopt technology. One lesson stayed with me: the most valuable solutions are often the ones built around the way a business actually works. I think AI is reaching the same point.
General-purpose AI models are remarkably capable. But many everyday business problems don’t need an AI that knows everything. They need one that knows how your business does one particular thing:
- Which team does this customer request belong to?
- How should this transaction be categorized?
- Which category in our catalog does this product go in?
- How has our team labeled this kind of record before?
Most businesses already have hundreds or thousands of examples that hold those answers. StayCharted makes them useful.
HOW WE WORK
What you can expect from us
- We publish what we measure. Our benchmarks report accuracy on public datasets, how much checking each result needs, and the limits of each test. That includes the medical-abstract result where Claude scored 65.7% and our Dedicated AI Model scored 63.6%. See the benchmarks →
- Your data trains only your models. Each model is trained on your examples, for your workspace. Shared pre-trained models aren’t updated with your data; Dedicated AI Models are trained for your workspace. Security and your data →
- A person stays in charge. Every answer comes with a confidence score. You choose a review cutoff and can check uncertain answers before using them in your systems.
- Hosted in the United States on Amazon Web Services.
STAYCHARTED AT A GLANCE
The company and product
- Based in Austin, Texas
3801 N Capital of TX Hwy Ste E-240
Austin, TX 78746, United States - Available on AWS Marketplace and Microsoft Marketplace
- Available for Google Sheets as StayCharted AI Model Trainer on Google Workspace Marketplace, to train models and categorize rows directly in your spreadsheet.
- Available in Claude’s connector directory and ChatGPT’s app directory, and listed in Glama and the official MCP Registry
- Launched on Product Hunt
- Plans start free. See pricing →
OUR VISION
AI shaped by the people who use it
We believe the people who understand the work should have a direct role in shaping the AI they use. They already know which category is right. AMT lets that knowledge do the work at scale.
Questions about StayCharted? Reach us at hello@staycharted.com, or contact us.