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 keep labeling consistent when language is so ambiguous?
The tricky judgment calls are decided and written into the guide up front, with a defined adjudication path for genuinely hard cases, and we track inter-annotator agreement so drift is caught early.
Can you work with domain-specific schemas (legal, medical, financial)?
Yes — we support specialist taxonomies for regulated domains where a wrong tag has real consequences, with reviewers briefed on the domain.
Do you support multiple languages?
Yes, with native or fluent annotators so nuance and intent survive translation of the guidelines.
How is our data kept secure?
Text is handled by an assigned team under access controls, with retention and deletion terms set per engagement — relevant when documents contain personal or confidential information.
Ready to scale your text annotation services?
Start with a pilot batch — see the quality of the data before you commit.