• How We Work

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  • How We Work

  • Case Studies

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NLP Development Services

As an nlp development company delivering natural language processing services and natural language processing solutions, we help you make sense of text at scale. Our natural language processing software routes support tickets automatically, classifies sentiment, extracts entities, and reads any document — so your team doesn't have to.

What you get

01

Stop Reading Thousands of Messages Manually

Tickets, reviews, emails, feedback forms — AI reads them all, extracts what matters, routes to the right team or bucket.

02

Know What Customers Think at Scale

Analyze 10,000 reviews in minutes. Track sentiment over time. Catch emerging issues before they blow up.

03

Extract Data From Any Text

Names, dates, amounts, addresses, product mentions — pull structured data from unstructured text automatically.

Our NLP Development Services

01

Ticket Classification & Routing

Auto-categorize support tickets by topic, urgency, sentiment. Route to the right team. Cut response time.

02

Sentiment Analysis

Positive, negative, neutral — at scale. Track brand perception across reviews, social, surveys. Alert on negative spikes.

03

Entity Extraction

Pull names, companies, dates, amounts, locations from any text. Structure messy data for your database.

04

Content Moderation

Auto-flag harmful content — spam, hate speech, inappropriate material. Keep your platform safe at scale.

05

Text Summarization

Turn long documents into key points. Summarize customer feedback, meeting notes, research reports.

06

Semantic Search

Search that understands meaning, not just keywords. "Shipping delay complaints" finds "my order hasn't arrived."

NLP Case Studies

PRAI

PRAI

NLP-powered PR platform with AI content generation for press releases, pitches, and social media. Sentiment analysis for media monitoring.

Bono

Bono

Legal NLP for contract analysis, clause extraction, and compliance text interpretation across multiple jurisdictions.

Wisy

Wisy

NLP-powered analysis of market news and social sentiment for investment insights.

Our Core Values

At Sagtech, we deeply value innovation, user-focus, and quality assurance. Each project is a new opportunity to translate your vision into a seamless digital product. We emphasize the following key principles:

  • What takes a team a week, NLP does in hours. Analyze all your customer feedback, not just a sample.

  • Auto-classify by category, urgency, and sentiment. Right ticket, right team, first time. Cut escalations.

  • Sentiment drops 10% this week? Product mentioned in 3x more complaints? Get alerts before it hits Twitter.

  • We train on YOUR data — product names, industry jargon, competitor names. Higher accuracy out of the box.

  • Turn free-text emails into database fields. Extract order numbers, dates, and issues automatically.

Our NLP Development Process

To ensure our frontend development projects are successful, we follow a structured and transparent approach:

01

Identify High-Value Text

What text are you drowning in? Support tickets? Reviews? Emails? We find where NLP saves the most time.

02

Define Categories & Entities

What do you want to extract? Sentiment buckets, routing categories, specific data fields. We map it out.

03

Train On Your Data

Use your real examples to train models. Your terminology, your edge cases, your accuracy requirements.

04

Build Processing Pipeline

Connect to your data sources. Process in real-time or batch. Output to your systems.

05

Human Review for Edge Cases

Low-confidence predictions go to humans. Feedback improves the model. Accuracy goes up over time.

06

Monitor & Alert

Track accuracy, volume, and trends. Alert when sentiment shifts or new categories emerge.

OUR CLIENTS SUCCESS STORIES

clutch

Reviews

6

Rating

5/5

At SagTech, we focus on making our clients' experiences as bright and rewarding as possible. Here's what some of our satisfied customers have to say about working with us:

“SagTech delivered our MVP in just 10 weeks. The quality exceeded our expectations and helped us secure our Series A funding.”

Project

FinTech Payment Platform

John Smith

CEO & Founder, TechStartup Inc.

Yaroslav Gordov

CEO of Wisy

Yaroslav Gordov

Working with SagTech has been exceptional. They delivered our mobile app and admin dashboard ahead of schedule and exceeded all performance expectations. Their deep understanding of investment platforms and user experience resulted in significantly improved processing speeds.

Eugene Prokhorov

Head of Product in Wisy

Eugene Prokhorov

Professionals with excellent knowledge of fintech and automated investments. The project was completed with high quality: a user-friendly mobile and web application, and a well-thought-out admin panel. The team quickly addressed all challenges, including payment integration. If you need a reliable IT partner with a deep understanding of technology, I highly recommend them!

Sergei Chervyakov

CEO of Kwikwins

Sergei Chervyakov

Outstanding team that transformed our backend infrastructure completely. The optimization work resulted in dramatically faster response times and near-perfect uptime in production. Every milestone was delivered ahead of schedule with exceptional attention to detail.

Alexander Kazhemyakin

CEO of Yotewo

Alexander Kazhemyakin

Rare to find contractors who genuinely understand modern web development. Their work doubled our search engine visibility and significantly improved site performance. The scalable architecture they built handles our growing user base perfectly, supporting thousands of daily active users.

Andrej Ruckij

CEO of BullArena

Andrej Ruckij

A professional team with a deep understanding of blockchain technologies and the Play-to-Earn mechanics. The project was executed at a high level, from MVP development to the integration of cryptocurrency operations. The optimization of the gameplay ensured stable real-time performance.

Why Choose Sagtech for NLP Development

Handles Your Specific Language

Not generic NLP — models trained on your industry terms, slang, and abbreviations. "pls ship asap" gets classified correctly.

Scales to Millions of Messages

Black Friday spike? Product recall? Process 100x normal volume without adding headcount.

Plugs Into Your Stack

Zendesk, Intercom, Salesforce, custom CRM — we push structured data where you need it.

85-95% Accuracy

After training on your data. The remaining 5-15% goes to human review. Best of both worlds.

Related Services

Explore our comprehensive service offerings related to frontend development to enhance your digital solutions:

Conversational AI & Chatbots

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Intelligent Document Processing

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Predictive Analytics

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frequently asked questions

  • Depends on task complexity and training data. Simple sentiment: 90%+. Multi-class categorization: 85-95%. Entity extraction: 90%+ for trained entities. We validate on your data before deployment.

  • All major languages. English, Spanish, German, French, Portuguese work best. We can train custom models for other languages with enough data.

  • Yes. Modern NLP models handle informal text well. We also train on your actual data — typos, abbreviations, and all.

  • Simple classification: 3-4 weeks. Multi-task pipeline with integrations: 6-8 weeks. We start with a pilot on your real data.

  • Scope depends on number of tasks, training data availability, and integration complexity. We assess your requirements on a discovery call and provide a detailed proposal.

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Got an idea? Tell us about it.

We respond within 24 hours. No sales spam, just a real conversation.

clutch

Reviews

6

Rating

5/5

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