Search & discovery
Entity-rich training data for semantic search relevance.
NLP & Gen AI
Text Annotation Services
Entity tagging, classification, and linguistic annotation that power production NLP systems.
Overview
Language data is ambiguity all the way down — which is why our text annotators work from decision-logged guidelines with adjudication for genuinely hard cases. We deliver named entities, relations, coreference, intent labels, and custom linguistic schemas across domains and languages, with kappa-scored agreement on every batch.
What's included
- ✓Named entity recognition with custom taxonomies
- ✓Relation extraction and coreference chains
- ✓Intent and topic classification
- ✓Sentiment and emotion labeling
- ✓Domain-specific schemas (legal, medical, financial)
- ✓Inter-annotator agreement (kappa) reporting
Use cases
Chatbots & assistants
Intent classification and slot-filling datasets.
Compliance monitoring
Entity and clause extraction from contracts and filings.
Knowledge graphs
Relation-annotated corpora for graph construction.
How we work
1
Scope & pilot
We review your data, define the labeling guide together, and run a paid pilot batch so you can judge quality before scaling.
2
Team & calibrate
A dedicated, trained team ramps on your guidelines, benchmarked against gold-standard tasks until accuracy targets are hit.
3
Produce & QA
Production batches flow through multi-tier QA — consensus review, statistical sampling, and edge-case escalation.
4
Deliver & iterate
Data ships in your format with accuracy reports. Guidelines evolve with your model's failure cases.
Frequently asked questions
How do you guarantee quality fortext annotation services?
Every project runs through multi-tier QA: annotators are benchmarked against gold-standard tasks before production, batches are statistically sampled against agreed accuracy targets, and ambiguous cases are escalated and documented in a living labeling guide. You receive accuracy reports with every delivery.
Can we start with a small pilot before committing?
Yes — we recommend it. A paid pilot batch on your real data lets you evaluate our quality, turnaround, and communication before scaling. Pilot learnings become the project's labeling guide.
How is our data kept secure?
Client data is encrypted in transit and at rest, access is limited to the assigned project team under NDAs, and we support VPN-restricted or client-hosted workflows where data cannot leave your environment. Retention and certified deletion terms are set per engagement.
What tools and output formats do you support?
We work in your annotation platform or ours, and deliver in the format your pipeline expects — COCO, YOLO, Pascal VOC, JSON, CSV, or a custom schema — with delivery via API, cloud bucket, or scheduled export.
Ready to scale yourtext annotation services?
Start with a pilot batch — see our quality on your data before you commit.