AI Training Data & Annotation Platform48-Hr Pilot

Precision Data to Train World-Class AI Models

High-throughput annotation infrastructure across Image, Video, Text, Audio, and 3D Multimodal datasets. Combining AI-assisted workflows with 24,000+ domain specialists for RLHF, SFT, and computer vision.

99.5%+ Accuracy
Multi-tier QA consensus
48-Hr Turnaround
Rapid pilot deployment
SOC2 & ISO 27001
HIPAA & GDPR ready
24k+ Specialists
Linguists & Engineers
Human-in-the-Loop AI Tuning

3 Pillars of Generative AI Alignment

Real world LLMs require curated human intelligence at every stage. Explore our three core RLHF and SFT methodologies powering next-generation AI models.

Preset Domain:
Domain: Travel planning

Write your challenging prompt that challenges the model to handle conflicting constraints

Write your challenging prompt that challenges the model to handle conflicting constraints. The scenario should feel realistic and require the model to reason carefully rather than give a generic answer.

Target: 10-1000 words or 50-8000 characters
Characters: 523Words: 98
Full-Spectrum Modality Support

End-to-End Data Services for Every Data Type

From computer vision to multimodal foundation models, our infrastructure handles raw, messy datasets and outputs high-quality, training-ready pipelines.

Computer Vision99.8% precision

2D & 3D Bounding Boxes

Precise rectangular and cuboid boundary labeling with occlusion indices and sub-pixel alignment for autonomous driving and retail detection.

Capabilities:
Tight bounding boxes
3D oriented cuboids
Occlusion & truncation metadata
Multi-label classification
Export Formats:
COCOYOLOv8/v11Pascal VOCTensorFlow Record
Pixel-Level PrecisionSub-pixel accuracy

Semantic & Instance Segmentation

Pixel-level polygon tracing and mask generation separating overlapping foreground objects and background classes for medical and satellite imagery.

Capabilities:
Polygon contouring
Pixel-mask bitmaps
Panoptic segmentation
Boundary refinement
Export Formats:
COCO JSONPNG BitmasksGeoJSONCityscapes
Motion & Biometrics99.9% keypoint integrity

Keypoint, Landmark & Skeletal Pose

High-density keypoint placement for facial landmarks, hand tracking, full-body skeletal estimation, and industrial defect pinpointing.

Capabilities:
133-point whole body pose
Facial micro-expressions
Joint hierarchy & vectors
Surface defect pinpointing
Export Formats:
OpenPose JSONCOCO KeypointsCustom CSV
Temporal Tracking0% ID switch in high-density streams

Multi-Object Tracking (MOT)

Frame-by-frame persistent object ID tracking across fast motion, occlusions, entering/exiting scene trajectories, and camera perspective shifts.

Capabilities:
Unique tracklet assignment
Occlusion re-identification
Velocity vector mapping
Interpolation smoothing
Export Formats:
MOT16/20 formatCVAT Video XMLJSON Tracklets
Action RecognitionFrame-accurate timestamps

Event Tagging & Frame Validation

Temporal action segmentation, timestamped behavioral event logging, and audio-video synchronization for surveillance, sports, and robotics.

Capabilities:
Start/End timestamp tagging
Complex action decomposition
Safety violation detection
Audio-video cross sync
Export Formats:
ActivityNet JSONTimestamped CSVWebVTT
NLP & Token Classification99.7% span precision

Named Entity Recognition & Linking

Granular entity extraction (PII, clinical terminology, financial tickers, legal clauses) linked to custom knowledge graphs or standard ontologies.

Capabilities:
Token-level classification
Nested entity spans
Wikidata/Ontology linking
PII/PHI anonymization
Export Formats:
CoNLLSpaCy JSONLBIO / BILOUHuggingFace Dataset
LLM Guardrails100% Policy SLA

Intent, Sentiment & Content Moderation

Multi-label toxicity, bias, hate speech, copyright, and safety classification aligned with regional compliance and custom enterprise policies.

Capabilities:
Multi-class taxonomy
Severity score grading
Red-teaming prompts
Domain intent parsing
Export Formats:
JSONLParquetCSVArrow
Global LocalizationNative certified linguists

Multilingual Corpus Annotation (28+ Lgs)

Native speaker translation validation, dialect-aware sentiment, colloquial nuance tagging, and cross-lingual alignment for international models.

Capabilities:
Native linguist review
Dialectal normalization
Parallel sentence alignment
Transliteration checking
Export Formats:
TMXXLIFFParquetJSONL
Acoustic AI<2% Word Error Rate (WER)

Speech Transcription & Diarization

Verbatim and non-verbatim acoustic transcription with multi-speaker diarization, overlapping talk segmentation, and background noise profiling.

Capabilities:
Speaker timestamp labeling
Acoustic environment tags
Accent & phonetic transcription
Audio sentiment
Export Formats:
SRT / VTTJSON Word TimestampsTextGridAudacity
Specialized & MultimodalMillimeter spatial precision

3D LiDAR Point Cloud & DICOM

3D spatial bounding cuboids on LiDAR point clouds, sensor fusion (camera + LiDAR sync), medical DICOM slice annotation, and robot teleoperation traces.

Capabilities:
3D Point cloud segmentation
LiDAR-Camera calibration
Medical volumetric DICOM slices
Egocentric robot actions
Export Formats:
PCD / LASROS BagsDICOM NIfTICustom Protobuf
End-to-End Orchestration

How Your Data Moves From Raw to Production Ready

Eliminate tool sprawl, manual bottleneck management, and fragile scripts with our enterprise-grade pipeline orchestration.

014x Faster Setup

Ingestion & Auto Pre-Labeling

Connect Amazon S3, Google Cloud Storage, Azure Blob, or local lakes. Zero-shot foundation models generate high-confidence initial masks & tags to accelerate throughput.

Zero-latency cloud streaming connectors
Model-assisted candidate generation
Automated deduplication & format normalization
0224k+ Vetted Specialists

Affinity Routing & Expert Annotation

Workflows automatically assign tasks to matched specialists—clinical doctors for medical scans, senior engineers for code, and native linguists for dialects.

Role-based skill qualification gating
Collaborative multi-annotator workbenches
Real-time feedback & guideline synchronization
0399.5%+ Accuracy SLA

Multi-Tier Consensus & QA

Rigorous quality pipelines combining double-blind consensus labeling, honeypot test verification, inter-annotator agreement (Cohen's Kappa), and senior lead signoff.

Blind consensus & majority voting
Honeypot accuracy tracking per annotator
Statistical anomaly & drift detection
04Direct Model Ingestion

Continuous Delivery & GPU Sync

Datasets are exported in standard formats (COCO, YOLO, JSONL, Parquet) with automatic versioning, changelogs, and direct mounting to IN2PETA GPU training jobs.

Direct mount to GPU compute clusters
Immutable dataset version control & lineage
Automated webhooks on batch completion

Need a Custom Labeling Workflow or Specialized Tooling?

Our engineering team builds tailored ontologies, SDK plugins, and bespoke validation scripts in under 48 hours.

Talk to Solutions Architect
Enterprise-Grade Security

Security Built for Mission-Critical AI

Leading enterprises and frontier labs trust IN2PETA with proprietary datasets, clinical imaging, and confidential training corpora.

SOC 2 Type II & ISO 27001

Independently audited operational controls, continuous monitoring, and strict physical and digital security protocols at every layer.

HIPAA & GDPR Compliant

Full compliance for Protected Health Information (PHI) and PII with automated anonymization masks, pseudonymization, and regional data residency.

Air-Gapped & VPC Deployments

Enterprise datasets can be processed within dedicated tenant VPCs, on-premise enclaves, or private cloud environments with strict IP allowlisting.

Strict NDAs & Background Vetted

100% of annotators and specialists sign strict non-disclosure agreements, undergo rigorous identity verification, and operate on watermarked terminals.

Zero Data Retention Guarantee

Upon final client dataset handover and acceptance, source files are cryptographically wiped with verified deletion certificates provided.

End-to-End Encryption

All assets encrypted in-transit via TLS 1.3 and at-rest with AES-256 keys managed via dedicated Hardware Security Modules (HSM).

Why Teams Choose IN2PETA Data Services

Compare the cost, speed, and accuracy of IN2PETA against internal tooling buildout and legacy outsourcing.

Capability / MetricIn-House BuildLegacy BPO / CrowdIN2PETA Platform
Label Accuracy SLAVariable (~85-90%)~92-94%99.5%+ Multi-tier QA
Pilot Turnaround Time3-6 Weeks setup2-4 Weeks48 Hours
AI-Assisted Auto-Pre-labeling
Direct GPU Cluster IngestionManual ETLNative S3 / GPU Mount
Domain Expert Matching (MDs, Code, Law)Expensive RecruitingGeneral Crowd Only24,000+ Pre-Vetted
SOC 2 Type II, ISO 27001 & HIPAAHigh Internal BurdenVaries
Zero Data Retention Guarantee
Frequently Asked Questions

Got Questions? We Have Answers

Everything you need to know about our data annotation platform, pilot turnaround, and security standards.

We take up to 100 sample items (images, videos, text prompts, or audio files) along with your labeling guidelines. Our domain specialist team labels, validates through multi-tier QA, and delivers the annotated pilot dataset within 48 hours completely free of charge so you can verify our 99.5%+ accuracy SLA.
Accelerate Model Quality

Ready to Build Your Next-Gen Dataset?

Test our 99.5%+ label accuracy with a free 48-hour pilot on your proprietary data. No credit card or long-term commitment required.

Book Architecture Call