No-code predictive AI on your own business data
Optimize inventory, marketing, and cash-flow without a technical team
For finance, sales, marketing and operations teams at small and mid-sized businesses.
Upload an export, pick the outcome, and get a model trained on your own history in minutes. Self-serve, free to start.
Works with the systems you already trust
Airtable · Operations
Operational bottlenecks from your own workflow history
Train churn model…
Which customers are most likely to churn?
Connected to EasyDeploy. I’ll train on your CSV and return the highest-risk accounts first.
EasyDeploy
Preparing data
Testing model candidates
Validating performance
Deploying model
Customer Churn Risk
Ranked by probability of churn
Northbridge Capital
77%
Summit Growth Partners
71%
HealthCore Analytics
18%
One prompt in Claude. A model on your data. Accounts ranked by revenue you can still save.
EasyDeploy AI is a standalone platform with its own app and API. The Claude connector is optional and lets you run the same steps from a chat.
70× the scoring throughput for less than 4% of the cost of a traditional LLM.
See the GreenifyAI case study
Founded by Emanuel Castañeda, a Princeton-educated engineer with a decade at Audible and BlackRock.Train a custom model on your data and use case
Lead scoring, demand forecasts, and cash-flow risk are common starting points, not the ceiling. Upload your CSV, pick any labeled outcome in your history, and put ranked predictions in front of the person who acts on them.
Which leads will actually close?
Score inbound and pipeline leads so sales hours go where the revenue is. Put the highest-probability opportunities in front of reps first, from the CRM history you already trust.
What will we sell next quarter?
Forecast demand from your own order history to staff, budget, and stock with confidence.
Which invoices are at risk?
Predict payment behavior from your accounting history and protect cash flow early.
Who is about to churn?
Rank every customer by cancellation risk so retention outreach lands before the decision is made.
Where should the budget go?
Predict which campaigns and channels will convert before committing spend.
What breaks next?
Spot operational delays, bottlenecks, and maintenance risk from historical patterns.
Your own use case
Predict anything you can label in your data: renewals, fraud, staffing needs, equipment failure, and more. Book a demo and we will scope the first model together.
From spreadsheet to deployed model, without a data team
Upload your data, pick any labeled outcome you care about, and the platform tests thousands of model candidates against your rows, keeps only the best performer, then deploys it. No direct integration required: export a CSV, bring it through Claude, or upload it to EasyDeploy. Any labeled history works.
Connect Claude and your business data
New teams can start with our Claude MCP integration: ask questions, train models, and run predictions from the tools you already use. No model-builder wizard required on day one. EasyDeploy runs on its own; the connector is a front door for teams already working in Claude.
Upload your data
Export a CSV from your accounting system, ERP, or CRM. No preprocessing or feature engineering required.
Pick your outcome
Churn, conversions, demand, late invoices, or any other labeled column in your history. You define the use case; the platform trains a custom model for it.
The engine competes models
Thousands of model configurations are trained and tested against each other. Only the best performer survives.
Predictions flow back
The winning model deploys automatically. Score new records ad-hoc or in bulk and act on the ranked results.
Decision velocity
The Cost of Waiting Is a Line Item
Every month without prediction, the same losses repeat: customers cancel that could have been saved, sales hours go to the wrong leads, and inventory sits wrong because the forecast was a guess.
Your competitors with data science teams already run these plays. The gap is not your data. It is the machinery to use it. That machinery is now a subscription, not a department.
Book a demoLearn more
A prediction team, minus the hires
Not tooling for data scientists you do not have. Outcomes for the team you do.
Proof before you commit
Every model ships with a full details view: the winning pipeline, an EDA report, feature importance, and performance metrics in plain numbers. The same context is available to Claude over MCP, so you can ask questions and act without leaving your workflow.
A prediction team, without the hires
The platform does the work of a data science function: it tests thousands of model candidates against your data and keeps only the best performer.
Answers plugged into how you already work
Every trained model becomes a ready-to-use prediction service. Score a spreadsheet of customers, invoices, or leads and get ranked results back in minutes.
Support that matches your stage
From self-serve exploration to a dedicated account manager for production deployments, plans scale with how critical predictions are to your business.
Start free. Scale when the model earns it.
Higher plans run deeper experimentation on your data, which raises the odds of finding the strongest possible model.
Need more predictions?
Purchase additional prediction capacity anytime. Purchased prediction packs never expire while your account remains active.
* A standard live endpoint keeps one model always on for real-time predictions (up to ~50 requests/sec). Additional training credits, prediction packs, and live endpoints can be added to any plan at any time without upgrading solely for prediction volume. Included monthly predictions reset each billing period. Purchased prediction packs do not expire while your account remains active.
Frequently asked questions
How do I build a churn prediction model without a data scientist?
Upload a CSV of your customer history with a column marking who left, pick that column as the outcome, and EasyDeploy AI trains the model. It searches thousands of candidate pipelines and returns one with a performance report, so you can see what it gets right before you rely on it. The run takes minutes and involves no code.
See it on a public churn datasetHow much historical data do I need before I can predict customer churn?
Enough rows that both outcomes appear often: customers who left and customers who stayed, with the fields you knew about them at the time. There is no fixed minimum, because it depends on how clear the signal is in your data, so the honest test is to train a model and read the report. Our data readiness guide covers what the rows need to look like.
Data readiness guideWhat do I get back, and how do I use it?
A ranked list. Upload a CSV of the customers, leads or invoices you want scored, and you get the same rows back with a prediction for each, ready to download, sort and hand to whoever acts on it. You can also score one record at a time in the app, or have a system or Claude request predictions through the REST API and the Claude connector. Paid plans add a live endpoint that keeps a model always on for real-time scoring.
See a real batch run in the GreenifyAI case studyHow do I know whether I can trust the predictions?
Every model is scored on records it never saw during training, and the report shows the results in plain numbers, along with which fields drove them, before you rely on it. If the first model is not good enough you find out from the report, not from your customers, and you can fix the data and train again. In our churn example the first model missed 48% of real churners. Rebalancing the training data and running the search again cut that to 17% on the same untouched holdout.
How the engine tests and picks a modelWhat happens to my data after I upload it?
It stays yours. Your data is encrypted in transit and at rest, it is used to train your models and nothing else, and it is never sold. We improve the service using anonymized, aggregated usage data, never your datasets, your predictions or your models. You can have your account and everything in it deleted on request.
Read the privacy policyCan I use my HubSpot or Salesforce data to score leads automatically?
Yes. Export your leads with a column showing which ones closed, upload the CSV, and EasyDeploy AI trains a model that scores new leads by how closely they resemble the ones that won. Predictions come back as a ranked list your sales team can work from the top, in batch or one record at a time.
How do I forecast demand from my order history in QuickBooks or Shopify?
Export your order history as a CSV and train a model on it. EasyDeploy AI reads a CSV from QuickBooks, NetSuite, Shopify or any system that can export one, so there is no integration to build first. The forecast comes from your own history rather than an industry average, which is the difference between a number and a guess.
Can I connect Claude to my business data to train models and run predictions?
Yes. EasyDeploy AI has an open-source MCP connector, so Claude can upload a dataset, train a model, read its report and run predictions as tools inside a conversation. It works with Claude Desktop, Claude Code and other MCP hosts. Claude does the reasoning and EasyDeploy does the predicting.
Set up the Claude connector