Use cases

What you can ship with an autonomous AI data scientist.

OctOpus is the first AI agent that owns the full ML research loop — profile, plan, code, run, diagnose, validate, deploy. Drop your data, describe the goal, get a deployed model. Here are the most common shapes.

Forecasting

Demand, revenue, KPI, sensor, energy. NeuralForecast (NBEATS, PatchTST, xLSTM, TFT) + Chronos / TiRex / TimesFM foundation models.

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Churn prediction

Subscription, B2B, telco, SaaS. Calibrated probabilities, subgroup fairness, lift curve. Deployed prediction API.

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Classification

Risk scoring, lead scoring, ticket routing, fraud, sentiment. Tabular GBMs, deep tabular, NLP transformers.

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Anomaly detection

Sensor, transaction, log, network. Forecast-residual, isolation, autoencoder. Holdout-validated thresholds.

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Regression

Pricing, scoring, valuation, propensity, LTV. Calibration plots, CI bounds, residual diagnostics.

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Fraud detection

Payments, accounts, claims, AML. Imbalanced classification + anomaly. Calibrated, real-time scoring API.

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Credit risk

PD, LGD, EAD. Monotonic constraints, calibration, out-of-time holdout, MRM-friendly audit log.

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Lead scoring

B2B / B2C propensity-to-convert. Calibrated probabilities, lift curves, CRM-ready scoring API.

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Predictive maintenance

RUL, failure-window classification, anomaly. Edge-deployable, fleet-aware, plant-historian friendly.

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