NLP Solutions
Text Into Intelligence.
What We Do
Businesses generate enormous volumes of text every day: customer emails, support tickets, contract clauses, product reviews, internal documents, social mentions, and call transcripts. Almost none of it is analyzed systematically. Natural language processing converts that unstructured text into structured data your business can actually act on.
We build NLP systems that classify documents by type and priority, extract specific entities like names, dates, monetary amounts, and contract terms, analyze sentiment across customer touchpoints, summarize lengthy documents into key points, and route content to the right destination based on its meaning. The text you are already generating becomes an intelligence asset.
How We Work
We begin by cataloging your text data: what formats it comes in, what volume you process, what information you need to extract or classify, and what downstream system needs to receive the results. That defines the NLP pipeline architecture. For classification tasks we label representative samples and train a classification model. For extraction tasks we define entities and train a named entity recognition model or configure a structured extraction prompt.
For sentiment analysis we select and tune a model appropriate to your domain. Processing pipelines are then built to handle your actual volume, with monitoring for accuracy degradation over time. Output is delivered to your downstream system via API, database write, or webhook.
Why Running Start Digital
Pricing
From $8,000
Typical turnaround: 6-10 weeks
Includes
Frequently Asked Questions
NLP is the underlying technology that lets machines understand text. Chatbots are one application of NLP. Other applications include document classification, sentiment analysis, entity extraction, and content summarization.
Yes. We fine-tune models on your domain vocabulary. Legal, medical, financial, and technical language all require domain-specific training for accurate results.
Modern NLP models support 100+ languages. For most business applications, we focus on the languages your customers and documents use. Multilingual systems are available.
All processing happens in your infrastructure or your cloud account. We implement PII detection and redaction as standard practice for any system handling personal information.
A focused classification or extraction pipeline for a single document type takes 3 to 6 weeks. Comprehensive NLP systems handling multiple text types and multiple output formats take 2 to 4 months.
Accuracy varies by task complexity. Simple classification of structured documents often reaches 95 percent or above. Complex extraction from variable-format text may be lower. We measure and report accuracy before deployment.
Yes. We build retraining pipelines that allow models to be updated when new document formats are introduced or when accuracy degrades on new content patterns.
Ready to get started?
Start with a $4,000 deposit. Balance due on delivery.