ML platforms & training data tools used by Industrial & Energy companies
Each line links its public proof and the date usedby last checked it.
29
Industrial & Energy companies use ML platforms & training data tools
The most used: Weights & Biases (9), DataRobot (6), and Encord (5).Data as of Oct 25, 2026
Ranking
Tools ranked by the Industrial & Energy companies that use them. Ties go to the stronger proof.
Largest and best-proven users
Two labelled views of the same companies. Neither is a score.
Who uses each tool
Strongest proof first. A job post is a signal, the weakest proof.
1
Weights & Biases9 companies · Checked Oct 24, 202695 confirmed 4 observed
ShellChecked Oct 24, 2026
SiemensChecked Oct 24, 2026
Capella SpaceChecked Oct 24, 2026
ReelDataChecked Oct 24, 2026
Woven by ToyotaChecked Oct 24, 2026
ToyotaChecked Oct 24, 2026
Blue River TechnologyChecked Oct 24, 2026
FestoChecked Oct 24, 2026
Open Climate FixChecked Oct 24, 2026
2
DataRobot6 companies · Checked Oct 19, 202662 confirmed 4 observed
ChevronChecked Oct 19, 2026
NoritzChecked Oct 19, 2026
FordChecked Oct 19, 2026
AudiChecked Oct 19, 2026
OYAK CementChecked Oct 19, 2026
WeatherfordChecked Oct 19, 2026
3
Encord5 companies · Checked Oct 25, 202653 confirmed 2 observed
ForterraChecked Oct 25, 2026
OnsiteIQChecked Oct 25, 2026
ZeitviewChecked Oct 25, 2026
HitachiChecked Oct 25, 2026
Woven by ToyotaChecked Oct 25, 2026
4
Dataiku5 companies · Checked Oct 20, 202650 confirmed 5 observed
ToyotaChecked Oct 20, 2026
MichelinChecked Oct 20, 2026
GEChecked Oct 7, 2026
Mitsubishi ElectricChecked Oct 20, 2026
SchlumbergerChecked Oct 20, 2026
5
Labelbox3 companies · Checked Oct 25, 202633 confirmed 0 observed
NASAChecked Oct 25, 2026
Blue River TechnologyChecked Oct 25, 2026
SharperShapeChecked Oct 25, 2026
6
H2O.ai2 companies · Checked Oct 24, 202621 confirmed 1 observed
AESChecked Oct 24, 2026
Stanley Black and DeckerChecked Oct 24, 2026
7
Scale AI2 companies · Checked Oct 17, 20262
How usedby counts
A company counts once per tool, at its strongest proof: confirmed (a case study, a named testimonial, a press release or the company's own account), declared (the company told usedby), observed (a vendor logo wall or customers page) or signal (a job post). Counts cover the companies on usedby, never the whole market.
No software vendor had to be left out.
Data as of October 25, 2026.
Questions
Which ML platforms & training data tools do Industrial & Energy companies use most?
Weights & Biases leads: 9 of the 29 Industrial & Energy companies on usedby that use ML platforms & training data tools use it. Next: DataRobot (6), Encord (5), Dataiku (5), and Labelbox (3). See Weights & Biases.
How many Industrial & Energy companies use ML platforms & training data tools?
29 Industrial & Energy companies on usedby use at least one of 7 ML platforms & training data tools. It counts the companies usedby tracks.
What proof backs these lines?
Of the 29 companies, each counted at its strongest proof: 14 confirmed, 0 declared, 15 observed and 0 known from a job post.
How does usedby build this ranking?
usedby counts each Industrial & Energy company once per tool, from public proof: case studies, press releases, the company's own site or its declaration to usedby, vendor customer pages and job posts. Every line shows its proof and the date usedby last checked it.

