100+ Million Annotations Delivered: What Production-Scale Validation Looks Like
Seven years. Four continents. Over 100 million annotations delivered to safety-critical autonomous vehicle programs.
These aren't just numbers. They're proof points that separate theory from production reality in autonomy development.
The Scale That Matters
When we talk about production-scale annotation, we're not talking about proof-of-concept demos or research datasets. We're talking about the continuous, high-volume data operations that autonomy teams depend on to ship production systems.
100+ million annotations delivered across camera, LiDAR, and radar modalities. Each one validated for safety-critical perception systems.
7+ years in production supporting development cycles from early R&D through commercial deployment. Through multiple model architectures, changing requirements, and evolving safety standards.
70+ autonomy programs supported across passenger vehicles, commercial trucks, robotaxis, and ADAS systems. From established OEMs to innovative startups.
Global Operations, Consistent Quality
Production-scale annotation doesn't happen in a single location. It requires globally distributed operations with consistent quality standards.
Kognic operates annotation teams across the United States, Europe, China, and Japan—ensuring local expertise for region-specific scenarios while maintaining unified quality standards.
This global footprint matters because:
- Regional expertise: Local annotators understand market-specific driving behaviors, infrastructure, and edge cases
- Time zone coverage: Continuous operations supporting rapid development cycles
- Data sovereignty: In-region processing for customers with data residency requirements
- Cultural context: Understanding regional variations in traffic patterns, signage, and road user behavior
Certifications That Enable Production Deployment
Scale means nothing without trust. Autonomy teams can't deploy safety-critical systems built on data from vendors they can't verify.
Kognic maintains the industry certifications that production programs require:
ISO 9001:2015 – Quality management systems ensuring consistent processes and continuous improvement across global operations.
TISAX Level 3 – Automotive industry security standards required by major OEMs for handling sensitive development data.
These aren't checkbox exercises. They're operational frameworks that ensure consistent quality, data security, and process reliability at scale.
What Production Scale Actually Requires
Delivering 100 million annotations isn't about scaling up a small operation. It requires fundamentally different capabilities:
1. Operational Flexibility
Production programs don't run on fixed schedules. Requirements change as models improve, new sensors are deployed, and edge cases are discovered. We've supported customers through:
- Rapid ramp-ups for pre-SOP validation
- Multi-year continuous annotation programs
- Emergency turnarounds for critical safety scenarios
- Seamless transitions between annotation phases
2. Multi-Modal Expertise
Autonomy systems don't rely on single sensors. We've processed:
- Camera sequences (2D boxes, semantic segmentation, instance segmentation)
- LiDAR point clouds (3D cuboids, tracking, ground truth)
- Radar data (object detection, velocity validation)
- Sensor fusion scenarios (cross-modal validation, temporal consistency)
3. Quality at Scale
Every annotation feeds into safety-critical perception systems. That means:
- Subject matter experts for complex edge cases
- Automated quality control catching errors before delivery
- Statistical process control across global teams
- Continuous feedback loops with customer ML teams
4. Platform Reliability
Production operations can't afford downtime. Our platform processes millions of sensor frames with:
- 99.9%+ uptime SLA
- Sub-second response times for annotation tools
- Automated redundancy for critical workflows
- Real-time visibility into annotation progress
The Customers Who Trust Us
The best validation of production capability is customer trust. Over 70 autonomy programs have chosen Kognic for production-scale annotation:
- OEMs developing next-generation ADAS and autonomous driving systems
- Tier 1 suppliers delivering perception stacks for multiple vehicle programs
- Autonomous vehicle developers shipping robotaxi and commercial AV systems
- Perception technology companies training foundation models on millions of driving scenarios
Many have been with us for years—through multiple vehicle programs, changing technical requirements, and evolving business models.
What This Means for Your Program
If you're building autonomy systems for production deployment, scale isn't optional. The question isn't whether you need millions of annotations—it's how you'll deliver them with consistent quality, appropriate security, and operational flexibility.
100 million annotations delivered means:
- Proven processes for handling production-scale data volumes
- Global operations supporting your development timeline
- Certified security meeting OEM and Tier 1 requirements
- Platform reliability that supports continuous development
- Multi-year partnerships through changing requirements and business needs
We've spent seven years building the operational capability, geographic reach, and technical platform that production autonomy programs require.
Because in autonomy development, scale isn't about impressive numbers. It's about the operational details that let you ship safe, reliable systems to market.
Ready to discuss production-scale annotation for your program? Contact our team to learn how we support autonomy development from early R&D through commercial deployment.
Share this
Written by