Custom NLP for Customer Support Automation
We engineer custom NLP models trained entirely on your proprietary data to instantly resolve tier-1 tickets, slash wait times, and keep your company data 100% secure.
Our Valuable Clients
Natural Language Processing Services
Sentiment Analysis
Automatically scan customer reviews and feedback to determine if the overall tone is positive, negative, or neutral.
Text Summarization
Instantly condense long reports, emails, or legal documents into short, accurate summaries to save hours of reading time.
Language Translation
Accurately translate your documents, website content, or support chats into multiple languages without losing the original context.
Text Classification
Automatically route and sort messy data—like incoming support tickets into the correct categories and departments.
Speech Recognition
Convert spoken audio from meetings, sales calls, or voicemails into highly accurate, searchable written text.
Named Entity Recognition
Instantly extract specific details like names, dates, locations, and pricing from large blocks of unstructured text or invoices.
custom NLP Solutions
Secure AI Assistants
Custom, RAG-enabled chatbots that instantly resolve support tickets using only your verified company data, ensuring zero made-up answers.
Document Data Extraction
Automated pipelines that instantly read, pull, and categorize critical information from thousands of messy PDFs and emails into your structured database.
Voice & Speech Analytics
Convert customer calls and voice notes into highly accurate text, automatically extracting action items, client intent, and key business insights.
Features of NLP Model
Accuracy
Models engineered using RAG (Retrieval-Augmented Generation) to search your actual company documents, ensuring zero hallucinations or made-up answers.
Data Privacy
We deploy secure, local models on your own infrastructure. The sensitive business information never gets sent to public, third-party APIs.
Seamless Integration
We engineer clean data pipelines that connect your NLP model to your existing CRMs, ERPs, and messy databases.
NLP Development process
Step 1
Data Audit & Strategy
We analyze your raw company data to build a strategic baseline for custom NLP development that guarantees a measurable business ROI.
Step 2
Custom Fine-Tuning
We fine-tune secure open-source models (like Llama 3) exclusively on your proprietary data so it perfectly understands your industry.
Step 3
Testing & RAG Integration
We integrate Retrieval-Augmented Generation (RAG) to guarantee high accuracy, automate your workflows, and completely eliminate AI hallucinations.
Step 4
Deployment
We deploy the final machine learning model directly on your local servers and hand over transparent documentation for 100% data ownership.
get on a free consultation call with a data scientist
The slots are limited. Submit your email address to avail the chance to have a free onetime call with our Data Scientist.
Why Choose Tensour?
We have Top Data Scientists, Lead AI Engineers and Kaggle Masters as our team.
Data Security
We build secure data pipelines and deploy local models so your proprietary information never leaves your servers.
Strong integrity
We won’t sell you a complex, expensive neural network if a clean Python script and data pipeline will solve your problem faster.
Zero Hallucinations
We engineer secure LLMs utilizing Retrieval-Augmented Generation (RAG) to ensure your automated systems strictly use your proprietary data, never guessing.
We Turn Messy Datasets Into Predictable Revenue And Automated Workflows.
Listen to What Our Happy Clients Say
Our clients love us and our work. Following are some testimonials from our previous clients.
- List Item #1
- List Item #1
- List Item #1
- List Item #1
- List Item #1
“He saved my project with his meticulous work and exceeded my expectations consistently in all our milestones. If you are looking for 1)perfection, 2)a true expert in the data field and 3)amazing attention to details, you have to hire Musa. 300% recommendation.”
Investor's avenue
- List Item #1
- List Item #1
- List Item #1
- List Item #1
- List Item #1
“Mr. Khan’s work significantly contributed to our strategic understanding of market trends and data-driven decision-making processes. He demonstrated a high degree of technical skill, dedication, and collaboration throughout his time with us.”
Omnia Barakat
Founder, Egypt Decoded
- List Item #1
- List Item #1
- List Item #1
- List Item #1
- List Item #1
“Exceptionally talented and hard working expert. I had an amazing experience. Definitely will love to have more projects onboard with them.”
Lio Hernandez
FAQs About NLP Chatbots
How does your NLP for customer support automation differ from a standard chatbot?
Standard chatbots use rigid decision trees and often fail when users ask complex questions. We build custom NLP pipelines that understand semantic intent. By utilizing Retrieval-Augmented Generation (RAG), the model accesses your actual company documentation to resolve tickets dynamically, securely, and without hallucinating.
Should we use standard APIs or fine tune Llama 3 for business operations?
It depends on your data privacy requirements. Standard APIs (like OpenAI) are fast to deploy, but they send your data to third-party servers. For enterprise clients handling sensitive information, we highly recommend fine-tuning open-source models like Llama 3 or Mistral and deploying them locally on your own servers to guarantee 100% data security.
Can you integrate sentiment analysis for customer reviews into our existing dashboard?
Yes. We can engineer a data pipeline that scrapes your live reviews from platforms like Trustpilot or Google, processes them through a custom sentiment analysis model, and outputs the structured data directly into your CRM or an analytics dashboard in real-time.
Why choose tensour for custom NLP model development?
We engineer custom AI from the ground up. We use Retrieval-Augmented Generation (RAG) on your specific data to eliminate hallucinations. Because we prioritize security, we deploy local models so your proprietary data never leaves your servers. Plus, you work directly with a Lead Data Scientist—no account managers, no communication gaps.
Is NLP suitable for processing unstructured data?
Yes, NLP is particularly useful for processing unstructured data like text documents, social media posts, emails, and customer reviews. NLP techniques enable extracting insights, sentiment analysis, information retrieval, and organizing unstructured data.
Can I integrate a machine learning service with my existing applications or systems?
Most machine learning services come with tools like APIs and SDKs that make it easy to plug into your existing apps. This lets developers add smart features like predictions, data analysis, or automation without starting from scratch.
got any projects?
drop us a message.
We’ll get back to you through email. If we thought we’re a good fit for you, we’ll schedule a discovery call to discuss the project further.