NLP development company

We turn your unstructured text, emails, contracts, support tickets, clinical notes, and scanned documents into actionable resources for your team. Our custom NLP solutions run on Azure AI and integrate directly with the .NET systems you already use.

NLP development services

Most enterprises sit on years of text they haven’t analyzed once. Contracts, reports, support logs, and clinical notes pile up because reading and tagging all of it by hand doesn’t scale, so the value in that text stays locked away.

Our custom NLP development services cover text classification through intelligent document processing, built on Azure AI Language and custom fine-tuned models where the job needs them, connected to your .NET systems, and backed by ISO 27001.

Where enterprise text data creates hidden costs

  • Thousands of documents that bring zero insights

    Contracts, reports, support logs, and clinical notes build up for years without anyone analyzing them. It’s a huge waste since they hold value no one can access because of unstructured text or lack of time.

  • Manual review that doesn’t scale

    Your team spends hundreds of hours classifying, tagging, and routing documents that NLP can handle in seconds, usually with better consistency than a tired reviewer working through document two hundred of the day.

  • Sentiment data you can’t act on

    Even knowing that some customers are unhappy, you can’t do much if you don’t know where, why, or how widespread this unhappiness is. This happens because reviews, support tickets, and chat logs remain unanalyzed across different systems.

  • Generic AI tools don’t understand your domain

    Off-the-shelf NLP doesn’t know your industry’s terminology, your product names, or the context behind a document. The accuracy it delivers isn’t good enough to trust with a production decision.

Our NLP development services

What our ML engineers build

Text classification and intent recognition

Automatic routing of emails, support tickets, and documents by type, urgency, or department. This is where we start most of our NLP business development services engagements, since the return shows up within weeks of launch.

Named entity recognition and information extraction

Pulling structured data out of free text: names, dates, dollar amounts, contract numbers, and legal terms, so a person doesn’t have to read the whole document to find the one fact they need.

Sentiment analysis and opinion mining

Reading reviews, support conversations, and market signals in real time or across a large archive, so you can see where satisfaction is dropping before it shows up in your churn numbers.

Intelligent document processing

OCR combined with NLP to automate contracts, forms, invoices, and clinical notes. Our NLP app development services handle the document from scan to structured data, ready to feed into the system that needs it.

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Why companies choose Blackthorn Vision as their NLP development company

  • Domain-trained models, never generic APIs

    We train models on your own data and your industry’s vocabulary. Healthcare, fintech, legal, and media each need a level of accuracy that a generic API alone won’t reach, and custom fine-tuning is how we get there.

  • Azure AI Language + custom NLP stack

    As a Microsoft Partner, we combine Azure Text Analytics and Language Understanding with custom fine-tuned models in one architecture, and we pick the right tool for the task instead of defaulting to whichever one is easiest to plug in.

  • .NET-native NLP integration

    NLP output that lands in your CRM, your ERP, and your actual business process through .NET integration, not in a separate dashboard that never gets opened after the first demo. That combination is a big part of why clients pick us as their NLP software development company.

  • End-to-end: from text to business action

    We connect NLP output to workflow automation, decision-making, and reporting, so the project delivers measurable results instead of a mere technology pilot. Blackthorn Vision is a Microsoft-partnered .NET and AI development company that helps enterprise teams build and modernize complex software products, and that’s why regulated clients treat us as an NLP development company in the USA they can bring compliance requirements to directly.

Technologies we use for NLP development

All technologies
We combine Azure AI’s managed services with open-source NLP frameworks and, where accuracy demands it, a model fine-tuned on your own data. Document processing gets its own category here because so much enterprise NLP work starts as a scanned PDF or an image before it’s ever text a model can read.
Azure AI
Azure AI Language, Azure Text Analytics, Azure Cognitive Search, Azure OpenAI
NLP Frameworks
spaCy, Hugging Face Transformers, NLTK · Gensim
Cloud
Azure, Docker
Backend
.NET (ASP.NET Core), Python (FastAPI)
MLOps
Azure ML, MLflow, GitHub Actions, Model drift monitoring
Document Processing
Azure Form Recognizer, Tesseract OCR, PyMuPDF, Unstructured.io
Models
BERT / RoBERTa, GPT-4o (for generative NLP tasks), Domain fine-tuned models, LoRA/QLoRA
Mykhaylo Terentyak - Meet our .NET engineering team

Meet the NLP development team at Blackthorn Vision

“Text is one of the most valuable, most overlooked data in enterprise possession. We help teams get it open and use it as a growth asset.”

Mykhailo Terentiak, Founder & CEO

How Blackthorn Vision builds your NLP solution

How Blackthorn Vision builds your NLP solution
  • 01

    Text data assessment

    We look at the document types you have, the volume, data quality, your industry’s vocabulary, and any applicable compliance requirements. The outcome is an NLP feasibility report with a recommended approach.

  • 02

    Data preparation and annotation

    We clean the data, settle a labeling strategy, build out a domain vocabulary, and write annotation guidelines to deliver an annotated training dataset with an annotation guide.

  • 03

    Model development and training

    We choose the architecture, whether that’s BERT, spaCy, Azure AI Language, or a fine-tuned LLM, then train and evaluate it. The deliverable is a validated NLP model with accuracy metrics that can be inspected.

  • 04

    Integration and deployment

    We connect the model to your .NET systems and APIs, build workflow connectors, and set up the document processing pipeline. You receive a production-ready NLP system as part of our NLP development services.

  • 05

    Monitoring and improvement

    We add accuracy drift detection and retraining triggers, and expand coverage to new document types as they appear. The deliverable is a live NLP system with a monitoring dashboard, backed by our NLP software development services.

FAQ

  • What types of NLP solutions do you build?

    We build text classification and intent recognition, named entity recognition and information extraction, sentiment analysis and opinion mining, and intelligent document processing. Most projects blend two or three of these solutions into one pipeline.

  • Can you integrate NLP outputs with our existing .NET or ERP systems?

    Yes, it’s a core part of our NLP app development services. Output lands directly in the CRM, ERP, or line-of-business system where the decision gets made. We have no interest in building another dashboard for your team to learn to use and remember to check.

  • How long does it take to build and deploy an NLP solution?

    The feasibility assessment runs one to three weeks. A working model on your data usually takes four to eight weeks after that, followed by full integration. Most NLP projects reach production two to four months from the first call.

  • How accurate are custom NLP models compared to generic Azure APIs?

    A generic API gives a reasonable baseline on everyday language. A model fine-tuned on your documents and terminology usually beats it by a meaningful margin on domain-specific text, which is exactly the text a production decision depends on.

  • Can you work with our industry-specific terminology and documents?

    Yes, we train models on your own documents and vocabulary, so the system understands your product names, legal terms, or clinical language, instead of guessing from a generic dataset.

  • What is the difference between NLP and LLM, do I need both?

    NLP covers targeted text tasks such as classification, entity extraction, and sentiment scoring, usually faster and cheaper to run at scale. An LLM is better suited to open-ended questions and conversation. Plenty of enterprise projects use NLP for the high-volume classification work and an LLM for the parts that need reasoning, and we’ll tell you which split fits your case once we see your data.

NLP software development company

Get the most from your text data

Blackthorn Vision works as an NLP software development company for enterprise clients handling contracts, tickets, and clinical records. We work with teams that need an NLP development company in USA with Microsoft-stack experience, as well as across Europe and in UK.

We offer NLP app development services and NLP business development services for organizations that need working software, ready to scale and meet audit demands. Most of our clients operate in strictly regulated industries.

Depending on what kind of documents pile up fastest on your team’s desk and how they get handled, we will suggest NLP development services that free up time, save effort, and bring value to your operations.

Get the most from your text data

    Daryna Chorna Customer success manager

    Daryna Chorna

    Customer success manager