Financial Services
Extracting entities, obligations, and clauses from contracts, filings, and disclosures to support compliance and risk models.
NLP & Gen AI
Text Annotation Services
Entity tagging, classification, and linguistic labeling that give production NLP systems something reliable to learn from.
Overview
Almost every hard problem in text annotation comes down to ambiguity — the same word means different things in different sentences, two annotators read the same clause two ways, and “is this negative or just blunt?” has no obvious answer. What separates usable text data from noisy data isn't raw speed; it's whether those judgment calls are made consistently. Our text teams work from guidelines where the tricky decisions are written down and settled up front, with a defined path for adjudicating the genuinely hard cases, and we track how closely annotators agree so drift gets caught early rather than shipped.
What's included
- ✓Entity tagging against your taxonomy, including nested and overlapping spans
- ✓Relationships and references linked across a document, not just within a sentence
- ✓Intent, topic, and category classification for routing and understanding
- ✓Sentiment and tone labeling with rules for sarcasm, mixed signals, and neutrality
- ✓Specialist schemas for regulated domains where a wrong tag has real consequences
- ✓Agreement scoring reported per batch, so consistency is measured, not assumed
Use cases
Healthcare
Tagging conditions, medications, and clinical concepts in notes and records to power medical NLP, with domain-trained reviewers.
E-commerce
Intent and attribute labeling on search queries and product text to sharpen relevance and on-site discovery.
Insurance
Structuring information from claims narratives and policy documents to support automated triage and review.
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.