Integrating SAM: Enhancing Efficiency in Autonomy Data Annotation

The integration of SAM into Kognic's platform aligns perfectly with our foundational values and strategic direction. As a leader in autonomy data annotation, we continuously seek ways to maximize productivity and deliver more annotated data per dollar spent - a core pillar of our customer promise.

This integration represents our commitment to:

• Ruthless simplification: By automating common object segmentation, we eliminate unnecessary manual work and let annotators focus on the complex edge cases that truly require human intelligence.
• Rapid iteration: With response times averaging 200ms, SAM allows teams to iterate quickly, shortening the critical feedback loop and accelerating time to value - a key Kognic principle.
• Being the price leader: By integrating foundation models like SAM, we're delivering on our promise that no one provides more annotated autonomy data per dollar than Kognic.

As autonomy datasets continue to grow exponentially, integrating foundation models becomes essential. This approach fits perfectly into our product roadmap, where we're transitioning from manual annotation to intelligent curation, with human expertise focused precisely where it adds the most value.

The SAM integration exemplifies our hybrid approach - combining the best of foundation models with human expertise to deliver superior results at scale, particularly as we navigate the transition from classical perception stacks to foundation model-driven autonomy.