Yes - RESTful API for workflow integration and automation
About Kognic
Kognic is a purpose-built annotation platform engineered to accelerate the creation of high-quality ground-truth data for complex sensor-fusion datasets. The platform addresses the critical bottleneck in machine learning pipelines where raw multi-sensor data (LiDAR, radar, camera) must be converted into precisely labeled training datasets. Kognic streamlines annotation workflows through intelligent tooling, quality assurance mechanisms, and scalable infrastructure designed for enterprise-scale operations. The platform enables organizations to reduce annotation time, maintain consistency across massive datasets, and dramatically accelerate ML model development cycles. When deployed through AiDOOS, Kognic benefits from enhanced governance frameworks, optimized resource scaling, and seamless integration into existing data infrastructure, enabling organizations to govern annotation processes at scale while maintaining cost efficiency and data quality standards.
Challenges It Solves
Manual sensor data annotation is time-consuming and difficult to scale efficiently
Maintaining annotation consistency and quality across large, complex datasets
Coordinating multi-sensor data labeling for autonomous systems and robotics applications
Reducing time-to-market for ML models dependent on high-quality ground-truth data
Managing and tracking annotation workflows across distributed teams
64
Faster annotation completion vs manual processes
48
Reduction in annotation errors and quality issues
35
Accelerated ML model training and deployment timelines
Use Cases
Autonomous Vehicle Development
Accelerate self-driving car ML model training by annotating complex street scenes, traffic patterns, and sensor data from multiple camera and LiDAR feeds simultaneously.
72%50% faster annotation cycles for autonomous driving datasets
Robotics Perception Systems
Enable robots to navigate and interact with environments by creating precise ground-truth datasets from multi-sensor fusion for 3D scene understanding.
58%Improved robot perception accuracy and operational reliability
Industrial Computer Vision
Build robust quality control and defect detection models by annotating industrial sensor data at scale with consistent labeling standards.
65%Accelerated deployment of vision-based inspection systems
Advanced Driver Assistance Systems
Develop ADAS features by annotating real-world driving scenarios across multiple sensor streams for collision avoidance and safety systems.
61%Faster validation and certification of safety-critical features
Pricing
Pricing available on request
Kognic pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Coordinate labeling across LiDAR, radar, and camera data streams
Unified annotations for complex sensor datasets in single workflow
Intelligent Quality Assurance
Automated consistency checks and annotation validation
Maintain high accuracy standards across all labeled data
Scalable Annotation Infrastructure
Handle enterprise-scale datasets with distributed annotation workflows
Process millions of sensor data points efficiently and reliably
Advanced Labeling Tools
Purpose-built 3D visualization and annotation interfaces
Annotators work 3-4x faster with specialized sensor data tools
Workflow Automation
Orchestrate annotation pipelines with rules-based routing
Reduce manual coordination overhead by 50%+ with automation
Reviews
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Enterprise Readiness
Role-Based Access Control
Data Encryption
Audit Logging
Secure API Authentication
Data Residency Control
Integrations
6 total apps
R(
Native integration with ROS ecosystems for robotics data pipeline management
AK
Stream sensor data directly from Kafka topics for real-time annotation workflows
AS
Seamless data storage and retrieval from AWS cloud infrastructure
GC
Integrated support for GCS-based sensor data repositories
ML
Track and manage annotated datasets within MLOps pipelines
CA
RESTful API for building custom integrations and workflow automation
AiDOOS Managed Deployment
Deploy Kognic in
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
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Prerequisites
Configuration Options
Virtual Delivery Center · A new delivery category
A Virtual Delivery Center for
Kognic
Pre-vetted experts and AI agents in the loop, assembled as a delivery
pod. Pay in Delivery Units — universal pricing across roles,
seniority, and tech stacks. No hiring, no contracting, no procurement
cycle.
Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit
Kognic specializes in multi-sensor fusion annotation including LiDAR point clouds, radar data, camera imagery, and other automotive/robotics sensor streams. The platform is designed to coordinate labeling across all sensor modalities simultaneously.
How does Kognic improve annotation quality?
The platform uses intelligent quality assurance mechanisms, inter-annotator agreement tracking, and automated consistency checks. AiDOOS deployment adds governance oversight and standardized QA workflows across your annotation operations.
Can Kognic scale to handle millions of annotations?
Yes. Kognic is built on scalable cloud infrastructure designed for enterprise-grade datasets. It supports distributed annotation workflows and automated routing to handle annotation volumes from thousands to millions of data points.
What integrations are available?
Kognic offers native integrations with AWS S3, Google Cloud Storage, Kafka, ROS, and MLflow. A comprehensive RESTful API enables custom integrations and workflow automation tailored to your infrastructure.
How does AiDOOS enhance Kognic deployment?
AiDOOS provides enterprise governance, resource optimization, and seamless integration into existing data platforms. You gain centralized management, cost optimization, compliance frameworks, and scalability across your annotation operations.
What is the typical time to deploy Kognic?
Initial setup typically takes 2-4 weeks depending on infrastructure complexity and data volume. AiDOOS manages deployment, configuration, and optimization to accelerate time-to-value.
Real results from enterprises deployed through AiDOOS
Leading Autonomous Vehicle Manufacturer
"Kognic reduced our annotation timeline by 60% while improving label consistency. The multi-sensor fusion capabilities perfectly align with our autonomous vehicle development needs."
— ML Operations Director
Robotics Innovation Company
"The platform's 3D visualization tools and quality assurance framework enabled us to scale our datasets from thousands to millions of annotations without sacrificing quality."
— Computer Vision Lead
Industrial Automation Enterprise
"Kognic's workflow automation and integration capabilities streamlined our entire annotation pipeline, reducing coordination overhead and accelerating model deployment cycles."
— Data Engineering Manager
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