General time-series modelSequenxAI Omni

Learn from sequences.Evolve toward decisions.

We focus on time series. Our general time-series foundation model is available on the SequenxAI Platform: data is cleaned before it is forecast, results come through one API, and enterprise engagements add domain tuning by industry — for forecasting and decisions in energy, transportation and other industries.

A general time-series foundation model: clean first, then forecast, through one API.

  • Live forecasts on public data, scored continuously
  • Onshore data residency · auditable cleaning

ERCOT (Texas) electricity demand Live

EIA-930 actuals · hourly · next 24 hours

Latest actual (MWh)
43,500
40K60K80K10-1810-1910-2010-21Data cutoff
40K60K80K10-1810-1910-2010-21

Issued by SequenxAI at 10-20 10:53 UTC · SequenxAI demo model · scored automatically as actuals arrive

Actuals from the U.S. Energy Information Administration, EIA-930 (public domain); forecasts and scores are SequenxAI's, not affiliated with EIA.

See all live forecasts

From data to action

Understand time, support every critical decision

General time-series models unify multivariate series, seasonality, and uncertainty for forecasting, simulation, and decision support.

Forecasting intelligence

Capture trends, cycles and turning points across changing scales.

Simulation generationPlanned

Generate plausible futures and quantify uncertainty (planned, not yet available).

Decision support

Turn sequence insights into the next actionable step.

Reserve / dispatch

Models

The right modelfor each kind of time series

Each model is built for one kind of time-series data. Pick a model to see what it does, what data it takes, and where it stands today.

SequenxAI Omni

General time-series foundation model · available on the SequenxAI Platform
Available

SequenxAI Omni is our general time-series foundation model for energy, transportation, finance and other time series, available on the SequenxAI Platform. It aims to forecast new, unseen series directly, with quantile intervals.

SequenxAI Omni structure: cyclical, trending, intermittent and other time series → a general time-series foundation model → direct forecasts with quantile intervals for new series
Modality
Time series
Domains
Energy · transportation · finance and more
Output
Point + quantile intervals
Explore SequenxAI Omni

SequenxAI Traffic

Transportation time-series model
Preview

For transportation: speed and flow series from road segments and sensors, with quantile intervals per segment.

Input
Speed · flow
Sampling
5–10 min
Output
Per-segment P10–P90
Explore SequenxAI Traffic

SequenxAI PlatformBeta · Now open

Try time-series forecasting on the SequenxAI Platform

Sign in with Gitee or email to upload time series, run forecasts, and inspect prediction intervals. Free quota and per-request limits are described inside the workbench and may change; anything marked "design target" or "planned" is not available yet.

  • Domestic data residency
  • On-premises deployment per project
  • Auditable quality reports
  1. Upload data

    Paste or upload a CSV or Excel file (time column + value column). Data is kept in private storage in mainland China, deleted after 30 days by default, and deletable any time.

  2. Forecast with intervals

    Pick a horizon, inspect the model's point forecasts with quantile intervals, and export results as CSV.

  3. Call the API

    Create an API Key on the SequenxAI Platform and follow the REST specification in Docs.

SequenxAI Platform beta · Gitee or email sign-in · free quota; rules may change

Enterprise evaluation

Time-series AI for enterprise decisions

Enterprise evaluation for energy, transportation and other industries: confirm forecast quality and scope on your own time series.

Enterprise evaluation is for real enterprise scenarios. The SequenxAI Platform is in beta; rules may change.