FastLabel tech stack
FastLabel works mostly with LoRA, MLFlow, PEFT, QLoRA. Its stack also includes MLFlow, ROS2, Transformers. LoRA is named in 2 of the 3 job postings FastLabel published in the last 12 months (67%). Counted by Alion from the job postings of FastLabel, updated Oct 15, 2026.
What frameworks and libraries does FastLabel use?
ROS2 is named in 67% of job postings at FastLabel, followed by Transformers (67%), PoC Library (33%), Nav2 (33%).
What cloud and platforms does FastLabel use?
MLFlow is named in 67% of job postings at FastLabel.
MLFlow
2 67%
What developer tools does FastLabel use?
Gazebo is named in 33% of job postings at FastLabel, followed by Isaac Sim (33%).
What AI and ML technologies does FastLabel use?
VLM is named in 67% of job postings at FastLabel, followed by LoRA (67%), PEFT (67%), QLoRA (67%).
Which engineering practices does FastLabel ask for?
Vision-Language-Action is named in 33% of job postings at FastLabel.
How does your stack fit FastLabel?
How is the FastLabel stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the FastLabel stack?
FastLabel scores 87 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.
How common is the FastLabel stack in its industry?
Share of the 97 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like FastLabel
Questions about the FastLabel tech stack
What cloud and platforms does FastLabel use?
The cloud and platforms named in FastLabel job postings are MLFlow (2) (postings in brackets).
Is the FastLabel tech stack changing?
Yes. VLM, LoRA, MLFlow, PEFT first appeared in FastLabel job postings in the last six months.
How modern is the FastLabel tech stack?
FastLabel scores 87 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.
How does Alion know the FastLabel tech stack?
Alion reads every job posting FastLabel publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Oct 15, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "FastLabel tech stack: 13 technologies from 3 job postings", as of Oct 15, 2026. https://alion.io/company/fastlabel/technologies