DevicoAI

Natural Language Processing company

Natural Language Processing services

Understand your customers like never before with NLP technology

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What is Natural Language Processing?

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Imagine being able to analyze vast amounts of text data, from customer reviews to social media conversations, and gain valuable insights into your audience's needs and preferences. That's what Natural Language Processing (NLP) is for.

NLP enables machines to recognize, interpret, and respond to human language. It bridges the gap between human communication and computer understanding. For example, when you use voice assistants like Siri or Alexa, NLP is at work. And it’s just gaining ground as the NLP market is expected to reach USD 35 billion by 2026.

Why choose DevicoAI for NLP services

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High retention rate

96%

Our dedicated team ensures consistent support and expertise, significantly above the industry average of 80%.

Wide expert network

3000

Access to over 3000 engineers and AI experts.

Proven track record

500,000

Over 500,000 man-days successfully delivered.

Support

24/7

Highly experienced management team available around the clock.

Don't limit your data reach

The NLP industry grows at 21.82% annually, with over 2900 startups contributing to innovation among more than 18 000 companies

Process of Natural Language Processing

01

Data collection

NLP starts with preparing the text data for analysis.

Data collection

02

Feature engineering

Creating features from the text data that can be used by machine learning algorithms.

Feature engineering

03

Applying NLP techniques

Depending on the specific NLP task, the system uses different algorithms or models.

Applying NLP techniques

04

Evaluation and refinement

Evaluating the performance of the model and making adjustments as needed to improve its accuracy.

Evaluation and refinement

05

Monitoring and maintenance

Continuously tracking the model's performance and updating it as necessary.

Monitoring and maintenance

Industry-specific
NLP development

Healthcare

Healthcare NLP applications accounted for 20% of the market in 2024, reflecting its growing importance in AI-driven diagnostics and patient care.

NLP integration into daily operations brings a shift towards more intuitive and intelligent medical and diagnostic systems.

Use cases:

  • Enabling better patient care and operational efficiency
  • Analyzing unstructured medical data
  • Extracting meaningful insights
Finance & insurance

The finance industry is the natural promoter of the application of AI, more specifically, NLP for finance, in data automation.

NLP analysis has allowed lending institutions to recover between 70% and 95% of their uncollectible debts and increase their debt collection rates by 20%.

Use cases:

  • Risk management
  • Fraud detection
  • Customer service automation
  • Identifying trends and predicting market movements
Retail

Companies that integrate NLP for personalized content or responses into their business operations can significantly improve customer satisfaction and drive 40% more sales.

NLP is often used to analyze customer reviews and feedback, optimize product recommendations, and improve customer satisfaction.

Use cases:

  • Personalized recommendations
  • Sentiment analysis
  • Chatbots for customer service
Manufacturing

Manufacturing processes can be innovatively revamped with automating routine tasks, or developing personalized training modules. Such tailored solutions use the power of NLP to optimize workflows and improve overall efficiency.

47% of global manufacturers use NLP algorithms for this purpose to reduce operational costs.

Use cases:

  • Improving supply chain management
  • Predictive maintenance
  • Quality control

Your needs - NLP tasks

Unlock new possibilities across industries with quality insights and improved operational efficiency

Core NLP techniques

Technique

What it means

Goal

Usage

Data analysis

Extracting meaningful information from unstructured text data.

Identify patterns, trends, and insights from text data. Transform raw text data into a structured format suitable for further analysis by machine learning algorithms.

  • Analyzing customer feedback
  • Monitoring social media
  • Processing legal documents

Text analysis

Evaluates and interprets emotions expressed in text data.

It classifies text as positive, negative, or neutral.

Understand the underlying sentiment behind user reviews, social media posts, or customer feedback.

Can significantly impact customer satisfaction.

  • Customer service to gauge satisfaction
  • Monitor brand reputation
  • Analyze social media sentiments

Language translation

Converts text from one language to another using machine learning models.

Break down language barriers and ease communication.

  • Real-time translation services
  • Multilingual customer support
  • Content localization

Speech recognition

Converts spoken language into text using machine learning algorithms.

Enable voice-activated interfaces, improve accessibility.

Some speech recognition systems can achieve word error rates as low as 5%.

  • Virtual assistants like Siri and Alexa
  • Transcription services
  • Automated customer service

Chatbots

AI-powered programs that simulate human conversation to interact with users.

Automate customer service and provide instant responses.

  • Customer support
  • Deliver targeted marketing messages and recommendations based on user interactions
  • Qualify leads and collect customer information through chatbot interactions

Get in touch

Drop us a line about your project and we will contact you within a business day

Our locations

New York

HQ

521 Fifth Ave, NY 10175

+1 805 491 9331

London

Sales

9 Brighton Terrace, SW9 8DJ

+44 1922 214429

Warsaw

R&D

Towarowa 28, 00-847

info@devico.io

Lviv

R&D

Uhorska str. 14, 79034

info@devico.io

Questions & answers

DevicoAI combines NLP expertise to help unlock hidden insights and extract value from vast amounts of complex data.

The cost depends on the complexity of the project, the technologies involved, and the scope of the solution. We offer tailored pricing based on your needs and goals to ensure you get the best value for your investment.

This varies depending on the specific project and set goals. DevicoAI can help you assess your data readiness and explore strategies for maximizing its value.

Yes, we work closely with your internal teams to integrate our NLP into your existing infrastructure and ensure that the transition is smooth and efficient.

To begin, we need to understand your business objectives, access relevant data, and any system specifications necessary for integration.

NLP solutions come in various forms, from user-friendly cloud-based platforms to custom-built models. Businesses always have options. DevicoAI offers comprehensive support to ensure a smooth integration process, tailored to your business needs.

We measure NLP's effectiveness by tracking key performance indicators (KPIs) relevant to your specific use case. We work with you to establish clear metrics and provide detailed analytics to monitor and optimize the performance of NLP solutions.

The timeline depends on the complexity and scope of the project. On average, custom NLP can take anywhere from a few weeks to several months.

Yes, we provide ongoing support and maintenance to ensure that the NLP continues to meet your business needs and adapts to any new challenges.

NLP platforms incorporate robust security measures, such as data encryption, anonymization, and compliance with industry standards (e.g., GDPR, HIPAA). We use abiding security protocols to ensure that your data is protected throughout the NLP implementation process.

We follow strict compliance protocols throughout the ML process, including data anonymisation, secure storage, and regular audits to maintain compliance with industry standards and regulatory requirements.