Why us?
We design data collection programs that are scalable, compliant, and purpose-built for ML workloads - without unnecessary overhead.
Tailored sampling and demographic targeting
Multi modal support (text, speech, image, video, sensors, IOT)
Strong QA, audit trails, and privacy-aware data handling
Fast turnaround and flexible delivery formats (CSV, JSON, TFRecord, COCO, custom)
What we offer
Modular data collection services designed to fit different model requirements and maturity levels.
Custom data collection programs
Design and execute end-to-end collection plans including target profiling, recruitment, scripts, pilot runs and full capture handoff.
Multimodal capture
Support for text, speech & audio, image & video, and sensor & telemetry capture — from web scraping and curated corpora to controlled shoots, crowdsourced feeds and LIDAR/IMU streams.
Delivery & integration
Seamless delivery and support with custom formats, sample indices and metadata, API access, ML pipeline integration and MLOps tools.
Annotation-ready collection
Collect with annotation formats in mind such as bounding boxes, segmentation masks, multi label taxonomies, speaker timestamps and intent/slot markers.
Privacy first data handling
Privacy-first approach including consent management, PII minimization, secure storage, differential privacy options and on-prem/air-gapped transfers.
Quality assurance & validation
Multi-tier QA with automated checks, human review, inter-annotator agreement monitoring, sample audits and statistical validation reports.
Advantages of our data collection services
Understand how our data collection approach improves model quality, compliance, and time-to-market.
Multi layer quality assurance & statistical validation
Multi-pass sampling QA with inter-annotator agreement monitoring and statistical validation reports to ensure ground-truth-ready datasets.
End to end dataset design & delivery
From target population profiling and recruitment scripting to final dataset delivery in your required format (COCO, TFRecord, JSON, CSV, or custom)
ML optimized collection architecture
Purpose-built for ML workloads — eliminating expensive re-collection cycles by building quality requirements into the collection design from day one
Dedicated program management & logistics coordination
Dedicated collection managers coordinate all logistics — consent management, recruiting, pilot runs, and final handoff — so your team stays focused on modeling
Elastic, global contributor scaling
From 100 to 100,000 collection sessions — our on-demand contributor networks scale rapidly across geographies, demographics, and modalities.
Enterprise grade security & GDPR compliance
GDPR-compliant collection with PII minimization by design, consent documentation, secure storage, and optional on-prem or air-gapped data transfer
Use cases
Where structured data collection directly impacts model accuracy and reliability.
Structured data, ready for training
Talk to us about building reliable data collection pipelines
that convert raw inputs into model-ready datasets.