NLP consulting: Turn words into business wins
Translation, text mining, text generation — language-related tasks are often complex and time-consuming. But with natural language processing (NLP), they don’t have to be.
Is Vention the best choice for NLP consulting, you ask? Naturally. Our mission is to deliver expert engineering guidance, giving you confidence in your strategy and ensuring peace of mind through every step of NLP implementation.
What’s inside
Our natural language processing consulting services
At Vention, we’re here to provide any missing piece on your journey to NLP success — from crafting a strategic plan to implementing and integrating both pre-built and custom NLP models.
Discover the NLP expertise you need — choose any service or a mix of them:
NLP strategy
What use cases and NLP techniques to implement to win the audience and maximize user adoption? What NLP models will deliver the needed speed and accuracy? What techs are the best fit? Go one-cloud or multi-cloud? Is this idea feasible at all?
Our natural language processing experts help you answer strategic questions and design technology and project roadmaps.
MVP development
Looking to break into the market quickly and gain a competitive edge? An MVP (minimum viable product) is a smart strategy, focusing on essential features to enable a swift launch.
Our NLP experts will prioritize the must-haves to help you hit the ground running with speed and accuracy.
NLP development
Our NLP consultants and engineers support you from early planning through full development.
We’ll select and customize pre-trained models to suit your domain and build a solution architecture optimized for the required response speed, whether real-time chatbots or in-depth text mining.
Custom NLP model design and development
Our NLP consulting team creates custom models for niche tasks where pre-trained NLP models are inefficient.
We train and fine-tune the model until it produces the needed result—say, unmistakenly classifying texts or generating a high-quality, detailed product description.
We can also test, deploy, and fine-tune custom NLP models like LLaMA, Mixtral, Vicuna, and XGen.
NLP integration
Our engineers will deploy your NLP model in a private or cloud environment and implement APIs, middleware, and data pipelines to seamlessly connect with your IT landscape or third-party sources.
We also rigorously test workflows and performance to ensure smooth integration and responsiveness under varying loads.
NLP model optimization
Your NLP model doesn’t hit applicable metrics like F1, BLEU, or ROUGE scores? Not satisfied with any other aspects like costs, scalability, or performance?
Our NLP consultants will identify the issue and suggest solutions — no matter it’s improving training data, retraining, fine-tuning, or even rethinking the model to achieve better comprehension.
Looking to upskill your team in NLP?
We offer tailored training and hands-on workshops on everything from data preparation to model fine-tuning, machine learning, and deep learning, designed to empower your team with the latest in NLP.
NLP solutions to revolutionize language processing tasks
The future of efficient language processing lies with NLP. From understanding and analyzing text to translating and generating content from prompts — NLP now has the power to automate and streamline nearly any language-related task.
Proficient in multiple NLP techniques, Vention’s NLP experts are ready to support your most ambitious initiatives.
Digital assistants and chatbots
Empower your clients and internal users with powerful chatbots that communicate like humans and rely on context, user history, and preferences rather than scripts.
Machine translation
Enjoy fast and precise translations of written and spoken language. With NLP, multiple languages, dialects, and specialized vocabularies are easily managed.
Speech recognition
Let NLP convert speech — even across languages and accents — into text. The system is smart enough to differentiate speakers, embrace context, and handle the task in real time.
Text-to-speech
Produce fluent, natural-sounding speech from text, with NLP easily handling multiple languages, dialects, abbreviations, and acronyms.
Text mining
No more searching for a needle in a haystack. Quickly extract relevant information like names, invoice numbers, and addresses from vast amounts of text and documents.
Trend scouting
Need to understand what’s happening in your industry or market? NLP technology can recognize trends and patterns in news, research, and academic publications.
Text summarization
Get straight to the core — AI can summarize texts to highlight key ideas, sparing you the need to read every word.
Text classification
Instantly sort through information — NLP helps you quickly identify whether an email is spam or urgent and categorize client requests and internal communications.
Sentiment analysis
Want to know how people feel about your products or brand? NLP can analyze and label feedback from online reviews or surveys as positive, negative, or neutral.
Text creation
From predicting text while typing to generating complex content from prompts, NLP effortlessly handles a range of text creation tasks.
Hear from our expert
Our clients often need solutions built on multi-language models, which bring added complexity due to linguistic and technical challenges.
To ensure model robustness, we implement data processing pipelines that account for the unique characteristics of each language."
Why Vention as your NLP consultancy partner
Trusted by the best
Vention takes pride in delivering transformational solutions that empower both startups and global brands.
Client sentiments that speak volumes
They have done multiple projects around AI, ML and VR spaces. We worked on leading-edge voice agent technology.
They recently built an AI agent with Ph.D.-level research and development skills; the result was a breakthrough for that industry. We’ve generated several recommendation engines for products in the VR space and are near selling a start-up built with Vention resources.”
Client sentiments that speak volumes
Vention has played a critical part in the development effort that’s complemented our internal resources.
They’ve been involved in both the ideation and development of features and functionalities, which involve aggregating customer information and unique data. With our team, they’ve helped develop algorithms that help predict value for our customers’ assets, while at the same time creating the aggregation technology and machine learning to discern value very quickly.”
Client sentiments that speak volumes
We develop and distribute artificial intelligence (AI) software to extract actionable intelligence for brands, and to detect abuse on the internet.
Despite our very niche and specialized application domain, the developer assigned to us has been doing a great job understanding our needs and developing a quality product.”
Success stories that define us
To help a startup implement a revolutionary idea amidst the rental housing crisis, Vention built AI-powered automated replies to help agents convert prospects into residents in a fully automated and cost-efficient way.
Vention helped Comet launch the Comet LLM initiative. It offers a user-friendly API for clearer visualization of interactions with LLMs, simplifying the application debugging process and improving overall AI development.
Hear from our expert
Vention has long been a trusted partner for our clients’ AI solutions. Recently, we launched a cross-departmental AI initiative to streamline our AI delivery processes and maximize client value.
Our approach? We stay ahead by keeping a pulse on AI — tracking stats and trends, and AI impact on business efficiency. We tackle adoption challenges and handpick the best models and technologies for each unique use case, delivering powerful, industry-leading products.”
NLP in action: industry-specific use cases
With expertise spanning 30+ industries, Vention understands the unique challenges each sector faces — and sees the transformative potential of NLP to revolutionize them all.
Banking, financial services, and insurance
- Customer service automation: Use chatbots and digital assistants to handle inquiries on account balances, transactions, and services. Personalize customer service and make it available 24/7.
- Fraud detection: Give your business extra protection with NLP flagging phishing emails or suspicious transaction descriptions and payment notes.
- Risk management: Extend traditional approaches to securing your business with sentiment analysis that reveals how the public and clients feel about your brand. Recognize adverse market trends or conditions among the flood of news articles and find insider threats in internal communications.
- Document processing automation: Speed up document handling and eliminate mistakes by extracting data from contracts, invoices, and financial reports. Classify emails and documents, e.g., health, vehicle, property, and life insurance claims.
Some well-known BFSI brands employing NLP: Bank of America, JPMorgan Chase, Zurich Insurance Group, PayPal (our client!), and American Express.
Healthtech
- Patient interaction automation: Enhance patient engagement with digital symptom checkers and chatbots for appointment scheduling and FAQs.
- Patient feedback analysis: Learn if your patients are satisfied with the care received and your processes. Identify the reasons for their dissatisfaction and improvement opportunities.
- Medical records processing: Extract key data like names, symptoms, diagnoses, and medications from unstructured doctor’s notes and patient histories and translate them into EHRs and ICD codes.
- Medical research: Mine research papers, clinical trial reports, public health data, and industry news for trends and valuable insights.
Some well-known healthcare brands employing NLP: Pfizer, Johns Hopkins University, and Mayo Clinic.
Ecommerce and retail
- Customer support automation: Enable 24/7 customer support for questions on payments, deliveries, returns, and warranties.
- Personalized customer experience: Tailor product recommendations based on search history and customer reviews and retrieve purchase history summaries for support queries.
- Extended search opportunities: Provide extra convenience with semantic and voice search options.
- Enhanced product descriptions: NLP helps translate product descriptions for other markets, but it can also automatically create them based on information from product databases and tailor them to different audiences.
- Demand forecasting: Predict demand shifts based on social media trends, news, and customer feedback.
Some well-known retail and ecommerce brands employing NLP: Amazon, Walmart, eBay, Alibaba, and Shopify.
Manufacturing
- Predictive maintenance: NLP models can analyze maintenance logs, reports, and operator notes to enable optimal maintenance schedule planning to avoid equipment breaks and downtime.
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Supply chain optimization: Let NLP analyze supplier contracts and communications to navigate incoming messages easily, spot shipment problems or delays, and generate automated replies.
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Facilitated interaction with machines: Use NLP-driven voice commands to control machinery. A reduced learning curve comes as a bonus to operation convenience.
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Quality control: Scan defect reports and customer reviews to detect recurring issues and production gaps.
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Product design: NLP-powered systems can analyze research papers, technical documentation, patents, and client reviews. The goal? To distill insights and drive new product designs or improve existing ones.
Some well-known manufacturing brands employing NLP: Bosch, Caterpillar, and Ford.
Edtech
- Personalized learning: Embrace endless personalization capabilities, from tailoring educational content to a student’s challenges and learning style to assistive technologies like speech-to-text and text-to-speech.
- Feedback automation: Use NLP to grade written assignments and essays. Works for self-learning, too.
- Student support and FAQ handling: Let your students clarify any questions on admission criteria and deadlines, course registration and withdrawal details, and transcripts through chatbots.
- Facilitated learning: There are hundreds of products that can either help you gain new knowledge (think of language-learning apps) or streamline other learning-related spheres, like antiplagiarism, writing correction, and machine translation tools.
Some well-known education brands employing NLP: Duolingo, Babbel, Grammarly, and ProWritingAid.
Real estate
- Efficient property search: Simplify the property search process with semantic and voice-based searches.
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Market analysis: Analyze real estate market trends, property developments, and buyer sentiment regarding specific locations.
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Automated handling of property queries: Employ chatbots to converse with your clients regarding property, its price, availability, or visit scheduling.
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Legal documents review: Use NLP to scan lease agreements, mortgage contracts, and other legal documents to summarize them or extract key terms, dates, and names.
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Streamlined operational processes: NLP can categorize property management requests according to their urgency, sift and qualify your leads, and scan and summarize competitors' offers and marketing materials.
Some well-known real estate brands employing NLP: Airbnb, PropertyGuru, and EliseAI (also our client!).
Make your company the talk of your industry with NLP
Your domain may not be on our list, but we know how to design and deliver an NLP solution that works.
Our NLP tech stack
Here’s the list of technologies, libraries, frameworks, and services that lay the foundation for our groundbreaking and game-changing natural language processing solutions.
Programming languages
Python
R
C++
ML & AI frameworks
TensorFlow
PyTorch
scikit-learn
Keras
XGBoost
LightGBM
CatBoost
sktime
Prophet
Deep learning libraries
fast.ai
Keras
PyTorch
Transformers
Sentence-Transformer
PyTorch Lightning
Generative AI technologies
OpenAI GPT
DALL-E
Stable Diffusion
Midjourney
Natural language processing
NLTK
spaCy
Transformers (by Hugging Face)
Gensim
FastText
TorchText
Data preprocessing and ETL
PySpark
Polars
Pandas
Dask
Cloud platforms
Amazon SageMaker
Azure Machine Learning
Google AI Platform
Google Cloud AutoML
Big data technologies
Apache Hadoop
Apache Spark
Apache Kafka
FAQs
How long does it take to implement an NLP solution?
The timeline depends on the solution's complexity and specific use cases. Here are rough estimates* for three main categories:
- Simple NLP solution
Examples: Keyword-based search, basic text classification
Estimated time: ~ 2 weeks
- NLP solution of moderate complexity
Examples: Chatbot, document summarization
Estimated time: ~ 2–3 months
- Complex NLP solution
Examples: Multilingual translation systems, complex sentiment analysis across multiple domains
Estimated time: ~ 6+ months
Our NLP consulting team is happy to provide you with tailored time estimates — just share more details about your case.
* The provided timelines are approximate and may vary depending on the specific requirements of your project. These estimates are non-binding and do not represent a formal commitment from Vention.
How much will it cost to implement an NLP-based solution?
The cost depends on several factors, including solution complexity, desired functionality, and delivery deadlines. For a ballpark figure, contact our team or use our free project cost calculator.
How do you ensure the accuracy of NLP models?
Our NLP engineers select the NLP model that fits the task best. Then, we train it on the high-quality, representative data set while tuning the model’s hyperparameters.
We also validate the model on a validation data set to ensure it performs accurately in real-world conditions.
How do you handle privacy concerns and sensitive data?
We take data privacy and security seriously. Measures include, among others, anonymizing sensitive data, encrypting data at rest and in transit, and minimizing retention periods.
We also have experience deploying modern open-source LLMs and NLP models on-premises and ensuring your data is not sent anywhere except to your own server or virtual machine.
How can you ensure the highest ROI of our NLP solution?
We apply targeted strategies throughout the entire consulting journey to ensure the highest ROI for your NLP solution. Here are just a few ways we maximize value for your investment:
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Prioritize NLP use cases that deliver measurable benefits — cost savings, efficiency boosts, and standout customer experiences
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Select the right tools and frameworks: open-source, proprietary, or a combination of both
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Ensure NLP model accuracy through data cleaning, model fine-tuning, and testing
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Implement continuous monitoring solutions for proactive model optimization