NLP Consultants Turn Data into Action Insights
We design, build, and deploy custom NLP, RAG, and agent systems for teams who need results, not a research project — first scoping call this week, working prototype in 27 days.
We design, build, and deploy custom NLP, RAG, and agent systems for teams who need results, not a research project — first scoping call this week, working prototype in 27 days.
Pick a single service or an end-to-end engagement and we plug in at any stage of your project.
Where we've had serious wins
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What our NLP Engineers Use
We're experts in these tools
We've shipped 75+ NLP and LLM systems into production since 2022. We pair deep model expertise with real production engineering, so you get systems that hold up under load, not demos that break in week two.
An asset management company with offices all over the globe was looking for an LLM based software solution to extract the key business topics discussed in financial interviews about a company's growth, health, size, and much more.
We’re going to look at how we built a state of the art NLP pipeline for blended summarization and NER to process master service agreements (MDAs) that vary the outputs based on the input document specifics.
Agentic framework for automating the process of product data research and product data enrichment. Goes from pdf catalog or vendor flat file with sparse data to fully enriched sku data with validation at each step for catalog specific rules.
How we built our SOTA categorization model for an external seller marketplace client and upgraded our infrastructure to run 50 million records per month. 6 levels deep coverage through fine-tuning our machine learning algorithms.
Product medical document summarization system that ingests varied patient record layouts and reliably extracts essential medical data: names of medical personnel, diagnoses, ICD codes, medications, and dates of visits and procedures. All extracted data rolls into a single patient timeline summary, plus document-level summaries per record. 96% accuracy.
Utilizes a layout understanding model to dynamically adjust prompt rules based on recognized document formats and page types. Provides field-focused guidance to help the LLM accurately link complex entities, such as tying specific invoice fields to their corresponding rows/. By tailoring rulesets to relevant pages and skipping unnecessary ones, the system minimizes hallucinations and improves data recognition efficiency.
An asset management company with offices all over the globe was looking for an NLP based software solution to extract the key business topics discussed in financial interviews about a company's growth, health, size, and much more.
