Kili Technology
Enterprise data labeling and evaluation platform for computer vision and NLP with workflows quality controls analytics and human in the loop review.
Overview
Kili Technology is a full stack platform for building and maintaining high quality training data. Teams connect cloud drives or data lakes, import images, video, text or documents, and design precise annotation templates for detection, segmentation, classification and extraction. Role based projects route tasks to labelers and reviewers, enforce consensus rules and measure inter rater agreement.
Programmatic quality checks, golden sets and active learning help prioritize edge cases while analytics flag drifts or annotator fatigue. Kili integrates with popular MLOps stacks and exports in formats friendly to frameworks and vector stores. Security features include SSO, granular permissions and audit logs suitable for regulated industries.
The company offers a guided evaluation to validate throughput, quality and cost before rollout, and production plans are contracted with enterprise support. The goal is reliable labels, faster iteration and governance that scales from pilot to fleet workloads.
Key features
- Template builder for vision and text tasks with precise tools
- Consensus review with inter rater agreement and golden sets
- Programmatic quality rules to catch errors early
- Active learning and sampling to surface edge cases
- Project roles SSO and audit logs for compliance
- Analytics on throughput quality and cost trends
- API and SDK to integrate pipelines and exports
- Formats compatible with CV NLP and vector stores
Best for
- Create gold standard datasets for detection segmentation and OCR
- Scale document extraction with QA loops and reviewer gates
- Prioritize confusing samples via active learning
- Monitor labeler performance and reduce rework
- Export annotations into training pipelines with checks
- Standardize templates across product lines and vendors
- Support regulated projects with audit trails
- Reduce time to first model by reusing past assets
Capabilities
Precise templates
Create robust UIs for detection segmentation classification and extraction that match task complexity.
Consensus and QA
Enforce reviewer gates golden sets and agreement metrics to raise labeling reliability.
Active learning
Surface edge cases and hard examples so humans focus where models struggle.
Analytics and security
Track throughput cost and errors with SSO and audit logs for compliance ready operations.
Frequently Asked Questions
How does pricing start for Kili Technology?
Kili invites teams to a free two week evaluation and sells production plans by quote with enterprise support and security options.
Can I integrate with my MLOps stack?
Yes, APIs and SDKs export to common formats and plug into training pipelines and vector stores.
How do you ensure label quality?
Consensus rules golden sets programmatic checks and reviewer workflows raise accuracy and consistency.
Is Kili suitable for regulated industries?
Role based access SSO audit logs and privacy controls support regulated use cases.
Do you support both vision and text?
Yes, images video documents and text tasks are supported with specialized tools and exports.
