Indika AI annotates video, images and 3D sensor data for computer vision and autonomy teams, with multi-layer QA so labels stay consistent across frames, sequences and sensors.
Object and region labels to your class taxonomy.
Pose and landmark annotation for people, vehicles and objects.
Consistent object identities through a sequence, not just frame by frame.
Cross-sensor labelling across camera, radar and LiDAR.
What procurement and security teams ask us first.
Image, video and 3D/LiDAR, plus text and audio when a program needs more than one modality.
Yes. We work inside your existing tooling or bring our own.
Multi-layer QA with consensus, gold sets and spot audits, plus checks that each tracked object keeps the same identity through the sequence.
Scoped pilots typically kick off within 1–2 weeks of a signed SOW.
Ask about a no-cost pilot: your data, your guidelines, your acceptance criteria. Our team responds within one business day.
Request a pilot →The data foundation enterprises trust to build reliable AI, since 2021.