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Lightly Tech Stack
ML data curation platform for computer vision model improvement
Lightly builds tools to curate and prepare vision data for machine learning training. The stack—Python, TensorFlow, PyTorch, scikit-learn—points to a research-forward, ML-native engineering culture. Active hiring across engineering, data, and ops roles suggests they're scaling both product development and go-to-market in parallel; the open-source Python package for self-supervised learning signals a developer-community play alongside commercial offerings.
Tech Stack 26 technologies
Core StackPython TensorFlow PyTorch scikit-learn GitHub Slack TypeScript C++ Rust React Node.js Docker Kubernetes AWS Svelte Stack Overflow Discord Excel PowerPoint Bloomberg FactSet Checkpoint PitchBook Capital IQ Intralinks GCP
What Lightly Is Building
◆Challenges
- Evaluating energy sector forecasts
- Replicating e2e customer support workflows
- Too much data to process
- Reducing staff injury
- Relaunching eyelash division
- Expanding eyelash services
- Forecast accuracy evaluation
- Creating e2e sales workflow tasks
- Translate finance concepts into ai-readable formats
- Turn market intelligence into executed deals
▲Active Projects
- Evaluate ai-generated transport forecasts
- E2e law workflow replication
- Sns marketing updates
- Inventory management
- Relaunching eyelash department
- Developing new eyelash services
- Evaluate generative ai outputs
- Label and create data
- Evaluating ai-generated energy forecasts
- Open-source python package for self-supervised learning
Hiring Activity
15 roles · 15 in 30d
Department
Seniority
Company intelligence
