Training data that
moves models forward.
Computer vision, NLP, and document annotation — delivered with 98%+ accuracy, 72-hour turnaround, and 60–70% lower cost . Bangladesh-based specialist team. Free pilot on every first project.
Every annotation type your
AI pipeline needs.
From bounding boxes to semantic segmentation to NLP entity extraction — managed end-to-end by a trained specialist team.
Object Detection & Bounding Box
Precise rectangular annotation for object detection model training. Multi-class, hierarchical labels, attribute tagging. COCO, Pascal VOC, YOLO output.
Polygon & Semantic Segmentation
Pixel-level and polygon annotation for precise boundary detection. Instance and semantic segmentation for complex scene understanding tasks.
Video & Frame Annotation
Frame-by-frame object tracking, action recognition labeling, and temporal annotation for video AI. Supports long-form and high-frame-rate footage.
Geospatial & Satellite Imagery
Land cover classification, change detection, building footprint extraction, and multi-band spectral annotation for remote sensing and GIS applications.
Document & Form Annotation
Invoice entity extraction, form field labeling, table structure annotation, and OCR ground truth creation for document AI and IDP pipelines.
NLP & Text Annotation
Named entity recognition, sentiment labeling, intent classification, relation tagging, and RLHF preference annotation for LLM fine-tuning workflows.
The numbers that
make the case.
Every number below reflects a real operational commitment — not a marketing claim. Accuracy is measured, turnaround is tracked, and cost is structural.
Specialist team,
not a gig crowd.
The difference between a platform that routes tasks to anonymous workers and a managed specialist team is everything when accuracy matters.
Trained annotators per domain
Each project is handled by annotators trained specifically in that domain — ALPR, geospatial, medical, or document — not general-purpose crowd workers.
QA review on every batch
Structured quality review before delivery. Accuracy reported per batch. Re-annotation included for anything below spec — no extra charge.
Works with your existing pipeline
Label Studio, CVAT, Roboflow, SuperAnnotate, or your own tooling. We adapt to your workflow — not the other way around.
Secure data handling
NDA on every project. HIPAA-aware workflows for healthcare data. No third-party sharing. Full data deletion on project close if required.
From raw data to
production-ready labels.
Four steps from first contact to delivered dataset. No long procurement cycle. No minimum volume requirement.
Share requirements
Annotation type, data format, label taxonomy, and output spec. We confirm feasibility and timeline within 24 hours.
Free pilot batch
We annotate 200–500 samples at zero cost so you can evaluate quality, accuracy, and format fit before committing.
QA & delivery
Every batch reviewed against spec. Accuracy report included. Delivered in your required format with full documentation.
Scale on demand
Increase or reduce volume as your project evolves. No long-term contracts. No minimum monthly commitment.
Raw data in.
Trained intelligence out.
Every production AI model is only as strong as the data it was trained on. We manage the entire annotation pipeline — from raw assets to labeled, QA-verified training datasets — with 98%+ accuracy and a free pilot batch before you commit.
CORE
Built for the sectors where
AI is moving fastest.
We deliver in whatever format your ML pipeline consumes.
- COCO JSON
- Pascal VOC XML
- YOLO TXT
- Cityscapes JSON
- LabelMe JSON
- CoNLL-2003
- JSONL (RLHF)
- spaCy JSON
- BIO tagging
- CSV / TSV
- FUNSD JSON
- DocVQA format
- CORD format
- Custom XML
- Flat CSV
- GeoJSON
- Shapefile
- GeoTIFF
- KML
- Custom raster
How we compare.
Honest comparison across the three ways to get annotation done.
| Capability | Imperial Engineers | Crowd platforms (Appen, MTurk) | US/UK boutique providers |
|---|---|---|---|
| Accuracy | 98%+ with QA review | Variable (70–90%) | 98%+ but slower |
| Turnaround | 72 hours standard | 3–10 days | 5–14 days |
| Cost per 1K images | $40–80 (est.) | $20–50 but low QA | $120–250+ |
| Free pilot | ✓ 200–500 images | ✗ | ✗ (paid trials) |
| Dedicated team | ✓ Named contact | ✗ Anonymous crowd | ✓ |
| Works with your tools | ✓ Any platform | Platform-locked | Partial |
| Minimum volume | ✓ None | Low but inconsistent | Often 10K+ images |
Send us your data.
We'll annotate it — free.
200–500 images, documents, or text samples. Returned fully annotated within 48 hours, in your format. No contract. No cost. No commitment.
NDA available on request · No minimum volume · Cancel any time
