NLP Services and Custom Solutions
We Offer NLP Software Development Services
We’re Pioneers in NLP Software Service Development. Whatever Your Business Problem is, We’re Part of the Solution.
ChatGPT Implementation
Emerge new business capabilities with custom ChatGPT-based solutions that use masses of data and machine learning algorithms to serve your business needs. Implementing ChatGPT, you can automate data management, improve customer service, reduce costs and save time.
Enable fast and accurate data search, extraction and analysis with ChatGPT.
Allow for more automated and efficient business processes and future-proof your business with the latest technology. Get more done in less time with ChatGPT.
Customer Feedback Analysis
Overwhelmed with masses of data? Can’t translate it into meaningful insights about your business’ strengths and weaknesses? Make use of bespoke NLP models for customer feedback analysis. By integrating them into your app or infrastructure, you enable automated data collection and analysis of unstructured data. Detect and extract topics, analyze sentiments, and then alter your business plan.
Use the uncovered insights to make sure your products or services line with the customer’s expectations and solves their business problems with NLP consulting.
Sentiment Analysis
Tried different marketing strategies but not getting the profit you want? Switch to a data-based strategy for more brand insights. Custom sentiment analysis software and natural language processing solutions allow you to mine socials, review platforms, and other important sources. Automatically interpreting hidden meanings behind tons of texts you’ll easily detect your audience’s moods and benefit from it. Use the technology to glean insights about your brand health and ongoing marketing campaigns for a stronger brand.
Data Collection and Analysis, Categorization and Clasterization
With InData Labs data collection and analysis custom solutions, you save the trouble of collecting and extracting value from data manually. If you still process and label customer reviews manually, it’s time you automated it. Smart data analysis, automated review categorization, customer base clustering, saved time, and error elimination – are the benefits you’ll get. Soothe the burden of working with customer reviews and save time for more intelligent tasks.
Context-Aware Search, Summarization
Whether it’s a web or a mobile app, make content search easy and relevant for your customers with language processing as a service. We build custom intelligent content search and filtering solutions that will allow your clients to get only up-to-date and theme-related content. Create customer loyalty by offering them user-friendly solutions and saving their time.
Audience Analysis
Looking for ways to get to know your audience better and see eye to eye with them? Use NLP-based audience analysis solutions to earn who your target audience is – their age, gender, location, nationality, language, and interests. Monitor your social media brand awareness and reputation. Work on your brand’s weaknesses to get it on top of your industry.
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How we work
Benefits For Your Business
Bring Success to Your Business with Effective NLP Solutions.
Data Collection & Analysis
Digitize all data work in one click.
Simplified Decision Making
Get customer insights and adjust your offer.
Customer Analytics
Get to know your customer better with analytics.
Sentiment Analysis
Mine customer opinions on your products and services.
Cost Reduction
Reduce costs with reliable data automation solutions.
Manual Work Automation
Automate manual tasks, and engage in intelligent ones.
Keep your data safe with fine-tuned LLMs
Quick Facts
InData Labs Has Been at the Forefront of Technology Since 2014. Here are Some Facts About Us:
projects delivered
senior-level engineers
years of experience in AI
rated on Clutch
offices: Cyprus, Lithuania, USA
Free Infographic “AI and Data Privacy in 2025: Global Trends”
NLP Technologies
We Work with the Latest Tech to Make Your Business Successful and Future-Proof.
Let Our Clients Do the Talking
Marat Karpeko,
Success Stories
ML and NLP Models For Marketing & Advertising
The client is a beauty company. They have difficulty processing and interpreting large volumes of data. They wanted to use ML for automating data collection and insight gathering.
Our team developed bespoke ML models that enabled the following:
- automated data collection and analysis
- customer behavior prediction
- beauty influencer search
- multi-language sentiment analysis across social media channels
As a result of the collaboration, the client has got customized software for prompt data collection and analysis, customer behavior prediction, brand health tracking.
Helping a Leading Game Developer Automate Customer Feedback Analysis
The client is a famous game developer. They spend much time collecting and analyzing their fans’ feedback on game releases in socials.
They asked the InData Labs team to develop an NLP-based tool for automated review collection and analysis. The tool streamlined all the reviews and sentiments related to various topics and dates. It helped the client better understand the fans and be ready to communicate with them in socials.
As a result, our customer feedback analysis solution allowed the client to get rid of manual topic retrieval and comments and reviews classification.
Al Customer Analytics Solution
The client is US medium-sized FMCG company. They were looking for a natural language processing service provider to help with data collection and analysis.
The client needed our team to
- clean data for analysis
- develop data architecture
- build NLP models
- implement text mining and insight extraction from various resources.
As a result, we’ve provided the client with a solution for data analysis pipeline for insights gleaning. The software enables fast and accurate email and audio data mining and analysis.
Customer Review Analytics Solution for E-commerce
The client is a large US E-commerce platform. They were looking for a natural language processing services vendor.
The client wanted to get insights into their products and services and create more effective campaigns.
Our solution was an Al-powered sentiment analysis software.
The key functionality:
- data collection and analysis of total customer reviews
- tracking overall customer satisfaction
- customer churn prediction.
Free 13-page Report “Natural Language Processing Statistics for 2023-2025”
Frequently Asked Questions
What is NLP used for?
NLP focuses on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and useful. NLP is used in a wide range of applications across various industries. Some of the common uses of NLP include text classification and analysis, data extraction and analysis, chatbot and virtual assistant development, sentiment analysis, and speech recognition.
What is a good NLP company?
A good NLP company is a reliable technology company that has established expertise in natural language processing and offers customized solutions according to your business needs.
Tech expertise mary vary:
- Customer feedback analysis
- Sentiment analysis
- Data collection and analysis
- Categorization and clusterization
- Context-aware search, summarization
- Text generation, etc.
How can I benefit from using NLP?
One can facilitate data collection and analysis, glean insights out of data, and use this information to make a better stronger brand. Others can use NLP services to enable smart content search and enhance customer loyalty.
How much does NLP cost?
A project that might require several NLP specialists, can start from $30k and reach $70k and more. The price depends on a myriad of factors like the project complexity, functionality, deadlines, etc.
Why do I need to use NLP in my business?
If your business produces lots of data, NLP can reduce your workload through automated data collection and analysis.
What are some examples of Natural Language Processing?
- Here are a few examples of NLP solutions and services:
- Sentiment analysis
- Emotional colouring detection in text/audio data
- Data collection and insights extraction
- Text summarization, etc.
What are NLP tools?
- Pytorch
- Tensorflow
- GPT-4
- OpenAI
- BERT
- SpaCy, etc.
