CARCForecasting Assistant Join the beta
Free beta · by Lunara Dynamics

AI-guided machine learning for your business.

Point CARC at your data and interact with it in plain language. It builds machine-learning models and deep-learning neural nets to give you the best possible forecasts and insights.

No credit card · Cancel anytime · Direct line to the team

  • Drop in your data, whether it's Excel, CSV, or a database
  • Picks the right model for your data automatically, from Prophet to XGBoost
  • Every model trained right on your own computer
  • Charts, reports, and exports for PowerPoint, Excel, PDF, or a database
Use cases

What insights do you need from your data?

Whatever it is, just ask CARC in plain language. Here are a few of the questions people bring to it.

Demand"How much will we sell next quarter?"
Inventory"When should I reorder, and how much?"
Staffing"Which days need more people on?"
Maintenance"When is equipment likely to need servicing?"
Growth"Which location or product is growing fastest?"
Cash flow"What will revenue look like over the next 6 months?"
How it works

Three steps. No learning curve.

If you can describe what you want in a sentence, you can use CARC.

01

Drop in your data

Hand CARC a CSV, Excel file, or database. It reads through everything, checks the columns, quality, and patterns, and tells you what it found in plain English.

02

Just talk to it

Ask questions, request forecasts, dig into trends. CARC picks the right models behind the scenes and explains what the numbers mean for your business.

"Forecast next quarter's sales." "Which location is growing fastest?" "Put that in a PowerPoint."
03

Export and share

One click to Excel workbooks, PowerPoint decks, PDF reports, or queryable databases. Results you can hand straight to your team.

Why CARC

Data science, without the data scientist.

Real forecasting usually takes someone who writes SQL and Python. CARC does it from a plain-English question.

Applied AI, not just charts

CARC runs real machine-learning and deep-learning models on your data, from Prophet and XGBoost to neural networks. It picks the right one, trains it on the spot, and explains the results in plain English.

Speaks your language

"Your Portland location sells 40% more on Saturdays. Plan your staffing around that." Plain English, not statistics.

Built for how you work

CARC is a desktop app. Your files, forecasts, and exports sit right next to the rest of your work, with no cloud project to set up and no warehouse to load.

The model toolkit

There are many models to choose from. CARC picks the right one for your data.

From a simple average to a deep-learning neural net, CARC carries nine forecasting models and fits the one that suits your data. You never have to know the difference between ARIMA and XGBoost.

BaselineSimple Average
StatisticalProphet✓ Auto-selected
StatisticalARIMA
StatisticalETS
Machine learningXGBoost
Machine learningRandom Forest
Machine learningLinear
SimulationMonte Carlo
Deep learningTabNet

CARC picks the best fit for your data and trains it automatically. You just see the answer, in plain English.

FAQ

Common questions.

I'm not technical. Will I understand this?
That's the point. CARC says things like "Your sales drop 22% every January, expect about $34,000 in revenue." If that makes sense, you can use CARC.
ChatGPT can chat about your data but doesn't build anything. CARC actually trains a forecasting model: selects the algorithm, fits it to your historical data, validates the results, and writes a report with specific numbers you can hand to your team.
Historical data with dates and numbers: sales by day, orders by week, foot traffic by month. Even 3 to 6 months of weekly data is enough. CARC will tell you honestly if your data isn't sufficient.
We're polishing the application with our first users, so you'll get a direct line to the team building it and a real say in what comes next.
Pricing · after beta

Free while we're in beta.

When we launch, plans scale with how much you use CARC.

Join the free beta