Our Services
Enterprise-grade AI services trusted by global teams building mission-critical machine learning systems.
Image Annotation
Precise labels for detection, segmentation, and scene parsing.
Pixel-accurate labels for detection, segmentation, and scene understanding—built for autonomy, retail, medical vision, and security at production scale.
Bounding Boxes
Tight 2D/3D boxes for object detection and tracking.
Polygon Segmentation
Vertex-accurate masks for irregular and organic shapes.
Polyline Annotation
Lanes, edges, wires, and markings as continuous polylines.
Keypoint Labeling
Pose, face, and custom skeletons for motion and HCI.
Semantic Segmentation
Per-pixel class maps for full-scene context.
Video Annotation & Temporal Tracking
Tracks, actions, and timestamped events for video ML.
Tracks with interpolation, action segments, and frame-accurate events—QA for production video ML.
Object Tracking (Interpolation)
Persistent IDs with smooth paths between keyframes.
Action Recognition
Time-bounded activity labels for automation and safety.
Event Logging
Frame-accurate start/stop for named sequences.
Audio & Speech Processing
Phonetics, diarization, and acoustic or scene-level labels.
IPA-friendly transcripts, diarization with overlaps, and acoustic/event labels—with QA to your spec.
Phonetic Transcription
IPA-style phones, stress, and dialect detail—not just words.
Speaker Diarization
Who spoke when—with overlaps and tight boundaries.
Audio Classification
Events, emotion, noise, and scene labels beyond speech.
LiDAR & 3D Point Cloud Annotation
Cuboids, segmentation, fusion, and lane geometry in 3D.
Cuboids, dense segmentation, sensor fusion, and lane/boundary lines—aligned to your autonomy or robotics stack.
3D Cuboid Labeling
Full 3D pose and dimensions on point clouds.
Point Cloud Segmentation
Semantics on every point for full-scene context.
Multi-Sensor Fusion
LiDAR + camera aligned in space and time.
Lanes & Boundaries
3D polylines for lanes, curbs, and barriers.
Medical Data Annotation
Clinical-grade labels with HIPAA-aware workflows.
Radiology, pathology, anatomy, and compliant PHI handling for regulated healthcare AI.
Radiology Imaging
Pixel-accurate masks on MRI, CT, X-ray, and ultrasound.
Pathology Slides Annotation
Whole-slide tissue and cell-level labels.
Anatomy Identification
Organs, skeleton, vessels, lesions, and anomalies.
Compliance
HIPAA- and GDPR-aligned handling of PHI.
Text & NLP Annotation
NER, sentiment & intent, and classification for production NLP.
Entity, tone, intent, and taxonomy labels your LLMs and classifiers can train on.
Named Entity Recognition (NER)
Entities for graphs, RAG, and core NLP—people, places, orgs, dates, codes, products.
Sentiment & Intent Analysis
Nuanced sentiment plus concrete intents from tickets, social, and feedback.
Text Classification
Hierarchical and multi-label taxonomies for legal, clinical, finance, and research.
Search Relevance & RLHF
Human judgments for search quality and LLM alignment.
Human ratings for ranking, preferences, and factuality checks—RLHF-ready where you need them.
Query-Document Pairing
Evaluating the accuracy of search engine results.
Comparison Ranking
Human preference testing for LLM responses.
Hallucination Detection
Verifying the factual accuracy of AI-generated content.
AI Model Training & MLOps
Fine-tuning, curated data, and MLOps to ship models faster.
Custom fine-tunes, cleaned datasets, and pipelines wired into your release process.
Custom Architecture Fine-tuning
Tailoring SOTA models (YOLO, ResNet, Transformers) to your data.
Dataset Curating
Cleaning and balancing datasets to reduce model bias.
End-to-End MLOps
Integrating annotation pipelines directly into your CI/CD workflow.