2D Image
Capture, prepare, annotate, validate or evaluate according to project specifications.
Data annotation & labelling services
Human-guided data operations for reliable AI.
TechAGI structures custom data collection, labelling, annotation, enrichment and validation programs across text, image, audio, video and multimodal data. Each engagement is designed around required contributors, quality standards, privacy controls and delivery formats.
Modalities and data types
Scope single-modality or connected multimodal programs.
Audio & Speech
Capture, prepare, annotate, validate or evaluate according to project specifications.
Video
Capture, prepare, annotate, validate or evaluate according to project specifications.
Text & NLP
Capture, prepare, annotate, validate or evaluate according to project specifications.
3D Point Cloud & LiDAR
Capture, prepare, annotate, validate or evaluate according to project specifications.
Sensor Fusion & Multimodal
Capture, prepare, annotate, validate or evaluate according to project specifications.
Medical Imaging
Capture, prepare, annotate, validate or evaluate according to project specifications.
Radar & 4D
Capture, prepare, annotate, validate or evaluate according to project specifications.
Services across the data lifecycle
From raw data to model-ready datasets.
Custom data sourcing and collection
Contributor recruitment, demographic and language criteria, regional coverage, capture hardware, consent workflows and project-specific environments.
Cleaning, normalization and de-identification
Audio levelling, image preparation, PII removal or tokenization, face and license-plate blurring and DICOM metadata stripping where required.
Data labelling and annotation
Classification, tagging, transcription, segmentation, bounding boxes, keypoints, entity annotation, domain taxonomies and structured metadata.
AI-assisted annotation and HITL
Model-generated pre-labels, human verification, correction, adjudication and active-learning feedback loops.
Model evaluation and linguistic validation
Response evaluation, preference ranking, safety checks, multilingual review, dialect validation and edge-case testing.
Dataset packaging and delivery
Versioned files, metadata, provenance records, audit trails, agreed schemas, API-ready formats and quality reports.
Quality, rights and privacy
Governance must be designed into the program.
Every program begins with clear guidelines, acceptance criteria, consent requirements and governance controls.
Annotation manuals, ontologies and pilot calibration
Gold sets, agreement metrics and adjudication
Signed consent, work-for-hire or rights-clearance records
GDPR, CCPA, HIPAA and BIPA controls where applicable
Provenance, chain-of-custody and asset-level audit logs
Secure access, retention, deletion and responsible-AI review
Requirement-led delivery path
Discover. Specify. Pilot. Annotate. Validate. Deliver.
Services are activated through project-specific, qualified delivery structures and remain subject to scope, contributor availability, partner validation, legal review and data-governance requirements.
Discover
Map volume, modalities and rights.
Specify
Define guidelines and acceptance criteria.
Pilot
Calibrate instructions and quality checks.
Annotate
Coordinate qualified human review.
Validate
Measure, adjudicate and report.
Deliver
Version, package and audit.