TimesFM-3

TimesFM-3

Google
+
+

Related Products

  • InEight
    136 Ratings
    Visit Website
  • TrafficGuard
    89 Ratings
    Visit Website
  • FinOpsly
    3 Ratings
    Visit Website
  • ERA EHS Software
    49 Ratings
    Visit Website
  • Detrack
    149 Ratings
    Visit Website
  • iTacit
    46 Ratings
    Visit Website
  • ClickUp
    18,385 Ratings
    Visit Website
  • KUKUI
    80 Ratings
    Visit Website
  • Zahara
    34 Ratings
    Visit Website
  • Admiral
    73 Ratings
    Visit Website

About

Data Poem is the Enterprise Decision AI company. Most large organisations run on dozens of disconnected models and dashboards that describe what happened but cannot say what to do next. POEM365, its Large Causal Foundation Model, unifies them into one causal system, mapping how every driver of spend, demand and price moves revenue. Pre-trained on 250 billion transactions and five trillion dollars of spend data, it deploys in around six weeks. Fortune 500 brands in CPG, retail, automotive and e-commerce use it to forecast revenue, plan budgets, optimise campaigns and grow.

About

TimesFM-3 is a state-of-the-art time series foundation model designed for highly accurate multivariate forecasting in a single forward pass. The 330 million parameter model is pre-trained on a real-world and synthetic time-series corpus comprising more than 1 trillion time points, building on the efficiency and zero-shot generalization of earlier TimesFM models. It can jointly predict multiple coevolving time series and capture dependencies that improve accuracy without task-specific fine-tuning. The model supports multiple targets with point and quantile forecasts, past covariates that are known only historically, and past-future dynamic covariates such as planned promotions, holidays, or weather forecasts. TimesFM-3 uses a decoder-only transformer architecture, processes contiguous data in patches of 32 time steps, and applies alternating causal temporal attention and full variate attention to combine patterns across time and related series.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprise Organizations

Audience

Data scientists, researchers, and developers wanting to forecast multiple related time series and incorporate historical and known future signals

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Data Poem
Founded: 2019
United States
datapoem.ai/

Company Information

Google
Founded: 1998
United States
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/

Alternatives

Alternatives

TimesFM-3

TimesFM-3

Google
CodeQwen

CodeQwen

Alibaba
Kimi K2

Kimi K2

Moonshot AI
Qwen-7B

Qwen-7B

Alibaba
Autobox

Autobox

Automatic Forecasting Systems

Categories

Categories

Integrations

No info available.

Integrations

No info available.
Claim Data Poem and update features and information
Claim Data Poem and update features and information
Claim TimesFM-3 and update features and information
Claim TimesFM-3 and update features and information