Content & eLearning
Curriculum mapping, textbooks & assessment design
Interactive SCORM and Rise modules
Audit, tag & compliance (WCAG 2.1 AA)
Page layout, typesetting & DTP assets
Instructional animations & voiceovers
Multilingual translations & adaptive content
Technical copy, blogging & summaries
High-quality training datasets & LLM labelling
IT & AI Automation
Launch product prototype in 7 days
Deploy custom neural networks
Tailored enterprise ERP workflows
High-conversion headless storefronts
Terraform & Kubernetes scaling
Performant iOS & Android native apps
Automate business tasks with agentic scripts
Audit LLM spend & compliance safeguards
AI UPSC answer paper evaluation & civil services prep
AI student tutor & CoachVault question bank stage
IoT fleet routing, school bus tracker & whitelabel HRMS
AI ledger accounts, invoice processing & payroll HR system
Bulk CSV to QR & Barcode (Code128) PDF publisher
15+ browser AI text checkers, paraphrasers & media tool utilities
High-quality training datasets labeled by subject matter experts.
We label, annotate, and enrich raw data inputs for custom machine learning models and LLM fine-tuning. From text taxonomy classification and computer vision tagging to expert human-in-the-loop (HITL) RLHF assessments, we deliver audited, ground-truth datasets.
5M+
Annotations Completed
99.2%
QA Pass Rate
500+
Domain Expert Labelers
HIPAA
Secure & Compliant
Named Entity Recognition (NER), intent classification, coreference resolution, and text sentiment tagging to build robust NLP systems.
Translation alignment, localized dialect transcription, and cross-cultural evaluation for global conversational AI models.
Bounding boxes, polygon segmentation, keypoint mapping, and semantic object segmentation using advanced labeling toolkits.
Reinforcement Learning from Human Feedback (RLHF), response ranking, chatbot red-teaming, and model safety evaluations.
Double-blind annotation pipelines with automated consensus scoring and senior auditor review checks to minimize bias.
Fully isolated workspace environments with strict access controls, RLS keys, and clean metadata scrubbing parameters.
Define annotation rules, category definitions, and boundary guidelines.
We collaborate to build comprehensive annotation manuals and validation criteria to align our labeling squads with your targets.
Assemble specialized domain expert squads and run training pilots.
Labelers are onboarded using sample test batches. We monitor inter-annotator agreement (IAA) metrics and iterate guidelines until agreement exceeds 90%.
Scale labeling runs utilizing consensus check layers.
Multiple labelers analyze each asset. Discrepancies are auto-routed to senior subject matter experts to guarantee dataset integrity.
Run quality checks, scrub metadata, and ship clean files.
We run final format validations and deliver training-ready assets mapped strictly to your schema configurations.
Every engagement comes with a clearly defined set of deliverables. No surprises, no scope creep — just high-quality output on time.
Select your dataset scale, complexity, and criteria to estimate the investment.
Type of raw data to annotate
Dataset Volume / Record Count
Consensus Level (Labelers per asset)
Enter your contact details below. We will calculate the customized investment quote and timeline based on your selections and email it to you.
Submit your inquiry and receive a custom proposal within 24 hours.
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NDA Protected
All projects covered
24hr Response
Guaranteed reply
Global Delivery
Remote-first team