Archimedes MD — Data Intelligence & Model Design
Upload messy files or one clean dataset. Archimedes MD organizes the data, writes a professional Data Intelligence Report in minutes, then helps you train a model when prediction is actually useful.
Common Starting Points
Archimedes MD is open-ended by design: if your data has structure, it can organize, analyze, and explain it. These are example workflows we have stress-tested, not limits on what the platform can handle.
Find the patients most likely to return, explain the drivers, and prioritize discharge planning, follow-up timing, and care-gap outreach.
Review underwriting data, flag risky segments, compare score drivers, and turn portfolio patterns into practical approval and monitoring recommendations.
Rank claims, providers, or transactions by investigation priority and separate routine variation from patterns worth reviewing immediately.
Identify the accounts most likely to leave, explain why, and build account-success actions around usage, support load, renewals, and adoption.
The same workflow can apply to sales, inventory, HR, research, maintenance, education, logistics, customer support, or any other dataset where columns describe events, people, products, outcomes, costs, or behavior.
The Process
Organize your data first. Then understand it. Then train a model that works forever.
Have messy files from multiple sources? Upload them all. Archimedes MD merges, cleans, and structures them into one coherent dataset automatically. Skip this if your data is already clean.
Drop any structured dataset — CSV, JSON, Excel, ZIP, or IPYNB. Archimedes MD reads your columns, detects the task type, and identifies patterns automatically.
Before training anything, receive a full professional analysis — executive summary, statistical deep dive, correlations, segment breakdowns, outlier profiling, effect sizes, and 8+ prioritized business recommendations. In just a few minutes.
The system tests multiple algorithms — Random Forest, Gradient Boosting, Logistic Regression — picks the best one for your data, and trains it with real accuracy metrics you can trust.
Save the trained model to your library. Whenever a similar problem arises — a new record, transaction, or measurement — the model evaluates it instantly and explains what drove the result.
Example Outputs
The examples below show the kind of reasoning the report can produce. The same structure adapts to different industries, metrics, targets, and business questions.
Identifies discharge-risk drivers and creates patient segments for follow-up timing, care-gap closure, and post-discharge outreach.
First action: prioritize high-risk discharges for a 7-day follow-up and day-3 outreach check.
Turns claims data into a review queue by combining anomaly score, upcoding patterns, provider behavior, and cost residuals.
First action: route the top review-priority claims to senior review before broad manual audits.
Explains which accounts are most likely to leave and converts product usage, support burden, and renewal timing into retention plays.
First action: trigger account-success outreach when engagement drops and support tickets rise together.
One recommended move the user can take this week.
The data issue or business exposure most likely to cause trouble.
A practical model recommendation only when prediction adds value.
The missing data or experiment that would make the next report stronger.
Real Report, Real Data
Not a mockup — these are full Data Intelligence Reports generated end-to-end from real sample datasets. See exactly what you get before you upload anything.
Churn-risk breakdown by plan, industry, and acquisition channel, with effect sizes for health score, onboarding, and support-ticket volume, plus prioritized retention plays.
View Full Report →Region, channel, and category-level stockout analysis with lost-revenue estimates, a forecast-accuracy integrity warning, and concrete restocking recommendations.
View Full Report →Capabilities
Have data scattered across multiple files, spreadsheets, or systems? Upload them all at once. Archimedes MD analyzes every file, proposes a merge plan for your review, then builds one clean coherent dataset — ready to train a model or generate a report instantly. Free users get 5 sessions total; paid plans get significantly more.
Upload a dataset and get a full professional analysis in a few minutes — executive summary, statistical deep dive, correlation analysis, segment breakdowns, effect sizes, and 8+ prioritized business recommendations with specific first steps. Valuable on its own, even before training a model.
Archimedes MD tests multiple algorithms on your data and automatically picks the one with the highest real accuracy. No guesswork, no data science degree required.
Every trained model is saved permanently to your account. Return months later and run new data through a model trained on thousands of past cases.
Every model ships as a clean, runnable Python file. Install the dependencies, point it at your data, and run it locally. No cloud lock-in, ever.
Every prediction comes with a ranked feature importance chart showing which columns drove the result, plus a plain English summary you can actually act on.
CSV, JSON, Excel, ZIP, IPYNB, or HTML — any structured dataset. Financial records, clinical measurements, HR data, image folders, Jupyter notebooks. If it has structure, Archimedes MD can learn from it.
Once trained, your model evaluates new inputs in seconds. No retraining, no waiting — the same accuracy available on demand, forever.
Works Across
Pricing
Start free. Scale as your models grow. Own every line of code you generate.
Build your first model and report. No credit card required.
For analysts and practitioners who need serious data intelligence.
For teams running models and reports across departments or clients.
For power users, research teams, and organizations at scale.
Messy files to organized data, professional reporting, and a working model when prediction is worth it.
Start for FreeQuestions or Feedback
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