One accountable partner
No handoffs between separate recruitment, tooling, annotation, QA and delivery vendors.
MANAGED AI DATA OPERATIONS
One partner for the complete data journey.
From raw data and annotation design to certified teams, quality assurance, expert review and production delivery—Infinity operates the entire workflow as one measurable service.
One contractComplete operating scope
One quality systemPilot through production
One reporting layerReal-time delivery visibility
One accountable teamClear ownership of outcomes
Stop managing vendors.
Start managing model progress.
Many annotation programs fragment responsibility across tooling, staffing agencies, freelancers, QA teams and domain experts. Every handoff introduces delay, inconsistency and hidden cost. Infinity combines those functions into a single managed operation with one program lead, one quality framework and one delivery commitment.
THE CONSOLIDATION ADVANTAGEMore capability.
More capability.
Less coordination.
Your team retains control of objectives and acceptance criteria. Infinity owns the operational complexity required to reach them.
Faster launch
Project design, pilot, staffing and production are managed as one coordinated workstream.
Lower total operating cost
Shared governance, consolidated reporting and fewer rework loops reduce hidden management overhead.
Consistent quality
The same guidelines, training logic and quality metrics follow the dataset from pilot to scale.
Elastic capacity
Teams can expand, contract or add domain specialists without rebuilding the operating model.
Operational visibility
A single dashboard and service layer provide throughput, accuracy, agreement, rework and delivery status.
One operating partner across every data type.
Computer Vision
Bounding boxes, polygons, semantic and instance segmentation, keypoints, tracking and classification.
Text & Documents
Entity extraction, classification, OCR correction, document fields, search relevance and summarization review.
Conversational AI
Response ranking, preference data, safety review, red-teaming, intent and conversation-quality evaluation.
Audio & Speech
Transcription, speaker attribution, timestamping, intent, sentiment and acoustic-event labeling.
Specialist Data
Healthcare, biotechnology, finance, legal, engineering and other domain-expert annotation programs.
Model Evaluation
Benchmark creation, rubric-based scoring, error analysis, regression testing and release-readiness review.
Every critical step inside one controlled workflow.
Data intake & security design
Taxonomy and guideline development
Pilot annotation and calibration
Workforce selection and certification
Scaled production annotation
Multi-layer quality assurance
Expert adjudication and feedback
Dataset packaging and delivery
Performance reporting
Continuous guideline improvement
QUALITY ENGINEERING
Quality is designed before production begins.
We define measurable acceptance criteria at task level, calibrate annotators against gold-standard data and route uncertainty through structured review and adjudication.
Gold-standard tasksInter-annotator agreementBlind review samplingConsensus workflowsExpert adjudicationRoot-cause analysisDrift monitoringRework control
SECURITY & GOVERNANCE
Controlled access for sensitive data.
Workflows are configured around data classification, customer policies and project risk. Access, environments, personnel groups and retention can be segmented by program.
- Role-based access and least-privilege design
- Project-isolated teams and workspaces
- Confidentiality and personnel controls
- Device, download and data-retention policies
- Audit trails and issue escalation
- Secure transfer and delivery procedures
Start with proof. Scale with confidence.
Discovery
Data, objectives, risk, quality targets and delivery constraints.
Pilot
Guidelines, tooling, calibration set and measurable acceptance review.
Production
Certified teams, controlled throughput, QA and transparent reporting.
Optimization
Error analysis, automation opportunities and continuous improvement.
Turn data operations into a competitive advantage.
Share your modality, dataset size, domain, quality target and delivery timeline. We will structure the complete operating model.
Discuss your data program ↗