AI Search & Text Intelligence Consulting
Apply semantic generalization, embedding strategies, and NLP pipelines to solve real classification, extraction, and search problems — grounded in current research, not off-the-shelf demos.
Service Overview
Off-the-shelf NLP APIs work until your classification categories are domain-specific, your extraction targets are ambiguous, or your search needs semantic matching a keyword index can't do. This is custom AI development for exactly that gap.
What's Included
- embedding strategy design
- custom classification/extraction pipeline
- semantic search implementation
- and evaluation against your actual data — not a benchmark dataset.
Tools & Technologies
Frequently Asked Questions
How is this different from just using an off-the-shelf NLP API?
Off-the-shelf tools are trained on general text. This is tuned to your specific domain vocabulary, categories, and edge cases.
Do you handle non-English or multilingual text?
Yes, on a case-by-case basis depending on the languages and available training data.
What volume of data do I need before this makes sense?
There's no hard minimum — the deciding factor is whether generic tools are already failing on your use case, not data volume.
Is this for you?
- You've tried a generic NLP API and it doesn't understand your domain's language
- You need document classification or entity extraction tuned to a specific taxonomy
- You want semantic search that understands intent, not just keyword overlap