TimesFM 2.5: Open foundation model from Google Research for time series forecasting with quantile output, also available in BigQuery. These 5 tools cover the same task (forecasting). They are ranked by how many of TimesFM 2.5's strongest markets they share, then by how complete their profile is.
Which TimesFM 2.5 alternative fits which situation
Built for larger companies and names 2 security certificates.
Picked from our profile data, which we check against vendor pages. No vendor paid for a placement.
What TimesFM 2.5 does
TimesFM is a pretrained time series foundation model from Google Research. Analysts use it to forecast business metrics such as sales, traffic or demand, either in their own Python environment or through BigQuery.
Pretrained model for time series forecasting without your own training
Point forecast plus quantiles from the 10th to the 90th percentile
Available in BigQuery through the AI.FORECAST function
TimesFM is an open model from Google Research under Apache-2.0 and can be used worldwide without country ties.
Before you switch: The context length of 1,024 steps limits how much history the model sees, so check that it fits your data frequency. Compare forecast quality with your current method first. If you use BigQuery, clarify query costs and the data location of your project.
Fero Labs provides process optimization software for industrial manufacturers in steel, chemicals, oil and gas, cement and consumer goods. Engineers use explainable machine learning to find root causes, simulate process changes and set better setpoints for quality, cost and emissions.
Key functions
Explainable white-box machine learning shows how process variables drive outcomes
Root cause analysis helps engineers diagnose process and quality issues
Predictive simulation recommends optimal setpoints for production in real time
Compared with TimesFM 2.5
Strong in the same markets as TimesFM 2.5: United States.
Check before buying: Check how Fero connects to your historian and laboratory data and whether it runs in the cloud or on site, since the public pages do not say. Hosting region and data processing terms are not published; ask before sharing process data. Setpoint changes affect safety and product quality, so keep sign-off with engineers.
Chronos-2 is an open time series foundation model from Amazon that produces forecasts without training on your data first. Data and planning teams use it to forecast demand, sales or capacity from historical series.
Key functions
Zero-shot forecasts for single and multiple time series without prior training
Includes covariates in the forecast
Returns quantile forecasts as a range instead of a single value
Compared with TimesFM 2.5
Strong in the same markets as TimesFM 2.5: United States.
Check before buying: You run the model yourself or on SageMaker, so plan hosting, monitoring and updates. Test forecast quality against your current method on your own history before relying on it. Data stays in your environment when you run the model locally.
Spacewell is a building operations platform for corporate real estate, facility and energy managers. It covers workplace booking and occupancy, energy management and asset maintenance, with AI that detects anomalies and forecasts consumption.
Key functions
AI anomaly detection monitors energy and occupancy data 24/7 and estimates the impact of deviations
Forecasting engine predicts consumption, generation and demand, with models retrained daily
Workplace AI Assistant books, changes and cancels desks and rooms in a chat and logs workplace issues
Compared with TimesFM 2.5
Can store data in the EU; TimesFM 2.5 states no EU option.
Headquartered in Belgium, TimesFM 2.5 in United States.
Names 3 security certificates, TimesFM 2.5 0.
Check before buying: Occupancy sensors and workplace booking data can show how individual employees use the office. In Germany, involve the works council under Section 87(1) No. 6 BetrVG before rollout and agree on aggregation levels. Prices are not published, and several AI features on the AI page are still marked as in development.
nPlan provides AI forecasting for construction and infrastructure schedules. Owners, contractors and project controls teams use it to see which activities carry delay risk, check schedule quality and draft new schedules.
Key functions
Forecasts activity-level uncertainty and delay risk from a model trained on 750,000 historical schedules
Schedule Studio generates draft schedules from project documentation
Schedule Integrity Checker finds quality issues in existing schedules
Compared with TimesFM 2.5
Headquartered in United Kingdom, TimesFM 2.5 in United States.
Names 2 security certificates, TimesFM 2.5 0.
Strongest elsewhere: United Kingdom.
Check before buying: Ask how your schedules are used after upload, in particular whether they flow into the training base, and where they are stored. Prices were not published on the pages we checked, and hosting details are not stated, so request both. Forecasts depend on schedule quality, so plan time to clean the schedule first.
All 5 alternatives by buying criteria
TimesFM 2.5 alternatives by price, trial, hosting and security
Not stated means we found no statement on the vendor's site. Data as of each profile's last check.
The market around TimesFM 2.5: 6 tools for this task
0 % Publish a price (0/6)
50 % Free plan (3/6)
50 % Free trial (3/6)
17 % EU hosting option (1/6)
33 % Headquartered in Europe (2/6)
0 % Single sign-on (0/6)
TimesFM 2.5 is among the tools that price on request. Most vendors in this category sell through demos and quotes, so ask two or three for an offer on the same scope before you compare.
Source: ai-toolfinder.com dataset, full profiles only.
Why teams look beyond TimesFM 2.5
TimesFM 2.5 quotes prices on request. 1 of the alternatives below have a published pricing model.
TimesFM 2.5 states no EU hosting option. 1 alternatives can store data in the EU.
3 alternatives are strong in at least one of the same countries as TimesFM 2.5, so local support and compliance should be comparable.
TimesFM 2.5 and the top 3 alternatives at a glance
It depends on your country and company size. In our data, Fero Labs, Chronos-2 and https://jolene.pro share the most strong markets with TimesFM 2.5, so they are the closest fit if you work where TimesFM 2.5 is strong. Filter the list by country and size to narrow it down.
Is there a free alternative to TimesFM 2.5?
Fero Labs, Chronos-2, https://jolene.pro and nPlan offer a free plan or a free trial according to the vendors. Check the limits of free plans before you rely on them for employee data.
Which TimesFM 2.5 alternatives can host data in the EU?
Spacewell can store customer data in the EU, according to the vendors. Ask for the data processing agreement (Art. 28 GDPR) and the list of subprocessors.
Which TimesFM 2.5 alternatives publish their prices?
None of the 5 alternatives publishes a price in our data. Ask for quotes on the same scope to compare.
Are there European alternatives to TimesFM 2.5?
Spacewell and nPlan are headquartered in Europe. A European seat does not guarantee EU hosting, so check the data processing agreement and the list of subprocessors.
Fero Labs