Kili Technology vs Segments.ai
Kili Technology
kili-technology.comSegments.ai
segments.aiSide by side
| Figure | Kili Technology | Segments.ai |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 4 |
| Spec score · AI Image Annotation Tools | 7.7 (#13) | 8.1 (#9) |
| Spec score · Image Annotation Software | 7.7 (#16) | 8.1 (#11) |
| Spec score · Data Labeling Software | 7.7 (#17) | 8.0 (#13) |
| Company history | Kili Technology says its founders established the company in 2018 and that its platform went live in July 2020. | Segments.ai says it launched in 2020 as a data labeling solution designed for segmentation. |
| Founded | 2018 | 2020 |
| Integrations | Kili connects to AWS, Azure, Google Cloud Platform, and S3-compatible storage, and supports automation through its API, Python SDK, plugins, and MCP server. | The Python SDK supports programmatic data upload, label downloads, dataset management, and webhooks; the integrations page names TensorFlow and PyTorch. |
| Intended users | Kili says the platform is designed for organizations managing annotation across domain experts, internal teams, and external workforces. | The company describes the product as designed for computer vision engineers and data scientists working in autonomous robotics and driving. |
| Support | The Grow plan says its support level is adapted to customer needs, and lists professional services as available. | Fusion includes priority support and mail, Slack, and Discord support. |
Plans
Kili Technology
- Free TrialFree
- EnterprisePriced on request
- GrowPriced on request
Segments.ai
- Academic licenseFree
- CorePrice not published
- EnterprisePrice not published
- FusionPrice not published
In their own words
Kili Technology
Kili Technology has no write-up on Specifiction yet; its figures are above.
Segments.ai
Segments.ai is a data labeling platform for robotics and autonomous vehicle work, with tools for both images and 3D point clouds. Teams can mark data with segmentation, cuboids, bounding boxes, keypoints, polygons, and polylines, view images alongside point clouds, and project labels between sensors. For sequences, Batch Mode, merged point clouds, interpolation, and automated tracking support labeling across objects and frames. Image workflows include Superpixel, Autosegment, hover-and-click segmentation, and model predictions that teams can review and correct. Its Python SDK handles uploads, label downloads, dataset management, and webhooks; TensorFlow and PyTorch are named integrations. The product is available through web and API access, and datasets can be exported as JSON, PyTorch, TensorFlow, or Hugging Face formats. Core includes cloud bucket integrations. The company states it is EU based, ISO 27001 certified, and GDPR compliant. Pricing is on request, with a 14-day trial; a free academic license is available for non-commercial research at free.