Six ways we turn your raw data into a trustworthy asset.
Every engagement starts with the same question: what's actually in your data, and can you trust it? From there, pick the one capability you need or run the full pipeline with us end to end.
Data collection & curation
You end up with one clean, governed dataset — deduplicated, PII-scrubbed and unified across text, image, audio, video and sensor sources.
Annotation & labeling
You get production-ready labeled data — boxes, segmentation, NER, transcription, LiDAR — with multi-layer QA and agreement scoring built in.
Human feedback & evaluation
You get structured preference and critique data — vetted experts rank, rate and stress-test outputs against your rubric, turning judgment into a reusable dataset.
Data infrastructure & delivery
You get structured data landing directly where you need it — QA reports and APIs that plug straight into your existing systems.
Data quality monitoring
You get continuous visibility into your data's health — drift detection and human review loops catch quality issues before they reach users.
Specialized expert network
For tasks needing judgment, not just attention — matched to verified physicians, lawyers, engineers and analysts.
See how experts join →Why enterprises choose Indika over a point solution
Frequently asked questions
Not sure where to start? Answer two questions.
What would a data program cost at your scale?
Not sure which solution fits your program?
Tell us your data, modality and timeline — we'll scope the right mix.
Talk to our team →The data foundation enterprises trust to build reliable AI, since 2021.