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Converts raw image into editable floor plans, explore renovation ideas, and seamlessly turn concepts into reality
Transform Text into Actionable Insights with Advanced NLP
From intelligent chatbots and document automation to sentiment analysis and search optimization, our Natural Language Processing (NLP) solutions help businesses analyze, generate, and understand human language at scale.
Game-Change
Why NLP is a Game-Changer for Businesses?
Services
Our Advanced NLP Services/ Solutions
We've engineered features that will actually
make a difference to your business.
AI-Powered Text Summarization
Automatically condense long documents, reports, legal contracts, and research papers into concise, meaningful summaries. Our AI-powered summarization ensures faster decision-making, improved content digestibility, and enhanced productivity for businesses.
Sentiment Analysis & Emotion Detection
Analyze customer feedback, social media trends, reviews, and support tickets to understand public sentiment and emotional tone. This enables businesses to track brand perception, improve customer satisfaction, and make data-driven decisions.
Named Entity Recognition (NER) & Information Extraction
Automatically identify and extract names, dates, organizations, locations, and key facts from unstructured text. This accelerates document classification, fraud detection, legal processing, and data structuring for enterprises.
AI-Powered Semantic Search & Retrieval
Transform traditional keyword-based search into context-aware, intelligent search that understands user intent and meaning. This enhances internal knowledge bases, customer support portals, and enterprise search engines.
AI-Driven Machine Translation
Break language barriers with real-time AI-powered translation across multiple languages. This solution helps businesses localize content, improve cross-border communication, and enable global accessibility.
Conversational AI & Chatbots
Develop AI-driven virtual assistants and customer service bots that deliver human-like interactions. These chatbots help automate queries, streamline support, and improve engagement across multiple platforms.
NLP for Speech-to-Text & Transcription
Convert spoken words from meetings, interviews, and phone calls into accurate text. Our AI-powered transcription technology ensures high-accuracy speech recognition for documentation, compliance, and accessibility.
NLP for Automated Content Generation
Generate high-quality blogs, reports, emails, and marketing copy using AI. Businesses can accelerate content production, improve personalization, and reduce manual effort with AI-driven text creation.
AI-Powered Document Processing & OCR
Automate the extraction and structuring of data from invoices, contracts, resumes, and legal documents. This reduces manual data entry, enhances compliance, and improves operational efficiency.
Custom NLP Model Development & Fine-Tuning
We build domain-specific NLP models tailored for industries such as finance, healthcare, legal, and e-commerce. Fine-tuned models ensure higher accuracy, better contextual understanding, and improved AI performance.
AI-Powered Text Summarization
Automatically condense long documents, reports, legal contracts, and research papers into concise, meaningful summaries. Our AI-powered summarization ensures faster decision-making, improved content digestibility, and enhanced productivity for businesses.
Sentiment Analysis & Emotion Detection
Analyze customer feedback, social media trends, reviews, and support tickets to understand public sentiment and emotional tone. This enables businesses to track brand perception, improve customer satisfaction, and make data-driven decisions.
Named Entity Recognition (NER) & Information Extraction
Automatically identify and extract names, dates, organizations, locations, and key facts from unstructured text. This accelerates document classification, fraud detection, legal processing, and data structuring for enterprises.
AI-Powered Semantic Search & Retrieval
Transform traditional keyword-based search into context-aware, intelligent search that understands user intent and meaning. This enhances internal knowledge bases, customer support portals, and enterprise search engines.
AI-Driven Machine Translation
Break language barriers with real-time AI-powered translation across multiple languages. This solution helps businesses localize content, improve cross-border communication, and enable global accessibility.
Conversational AI & Chatbots
Develop AI-driven virtual assistants and customer service bots that deliver human-like interactions. These chatbots help automate queries, streamline support, and improve engagement across multiple platforms.
NLP for Speech-to-Text & Transcription
Convert spoken words from meetings, interviews, and phone calls into accurate text. Our AI-powered transcription technology ensures high-accuracy speech recognition for documentation, compliance, and accessibility.
NLP for Automated Content Generation
Generate high-quality blogs, reports, emails, and marketing copy using AI. Businesses can accelerate content production, improve personalization, and reduce manual effort with AI-driven text creation.
Game-Change
200+
Custom NLP Models Deployed
70%
Reduction in Manual Data Processing
50M+
Text Queries Processed
98%
NLP Model Accuracy
Results
Performance Insights and Analytics Overview
Trusted by
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Algorithms
Algorithms We Use in NLP
GPT-4 / GPT-3.5
BERT & RoBERTa
LangChain & LlamaIndex
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RAG (Retrieval-Augmented Generation)
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Llama (Meta AI)
Mistral AI
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T5 (Text-to-Text Transfer Transformer)
Whisper (Speech-to-Text AI)
Falcon NLP
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Step 1
Understanding Business Needs
- Define NLP use cases (e.g., chatbots, search, document processing) and align them with business challenges and goals.
Step 2
Data Collection & Preprocessing
- Collect and clean text data, then apply tokenization, stop-word removal, and entity recognition.
Step 3
Model Selection & Fine-Tuning
- Choose pre-trained or custom NLP models, and fine-tune them on domain-specific data for higher accuracy.
Step 4
Training & Optimization
- Train models with GPU/TPU acceleration and optimize performance through hyperparameter tuning.
Step 5
Deployment & API Integration
- Deploy NLP models on cloud or on-premise and integrate them into existing business applications via APIs.
Step 6
Continuous Monitoring & Improvement
- Enable real-time monitoring and periodic retraining with updated data for sustained accuracy.
Advanced AI Capabilities
Custom AI Solutions Built for Business Growth
We deliver Enterprise AI Solutions designed for real-world performance — secure, scalable, and aligned with operational and revenue objectives.
Industries
AI Expertise Across High-Value Sectors
Our industry-based retail and e-commerce AI solutions improve operational efficiency and upsurge customer experiences through data-steered insights. Our AI solutions enable precise patient diagnosis using multiple image formats, which helps healthcare stakeholders to make quick decisions. Our teams have empowered the construction and renovation industry players with floorplan reading capabilities that empower multiple operations with custom AI solutions.
Success Stories
AI Case Studies
As a custom AI development company, we've engineered features that will actually make a difference to your business.
Dive into videos with dynamic, interactive segments—explore, customize, and engage with content tailored just for you.
Interactive Navigation
Explore content freely.
Customizable Experience
Tailor your viewing.
Engaging Storytelling
Craft unique narratives.
Streamlined COVID Testing with Secure Results Management for Safer Travel.
AI-Powered Font Recognition
Instantly identify fonts from any image using deep learning models trained on 3 lakh+ styles.
Scalable Matching Engine
Recognize new fonts on the fly without retraining—built for growth and flexibility.
Design-Centric Integration
Deliver accurate results with designer-grade precision and seamless UI integration.
Create standout resumes with ATS Scoring, match them to jobs, and manage updates with ease.
AI Product Advisor
Recommends gear from 30,000+ products based on user intent and context.
Domain-Trained Chatbot
Answers questions like a fishing expert using industry-specific LLM training.
Sales-Driven Suggestions
Improves product discovery and shortens decision cycles for all user types.
Tech
Innovating with Advanced Tech
Computer Vision
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Computer Vision
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Automation
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Automation
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Generative Ai
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Generative Ai
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Customer Stories
Hear from Our Clients
See how our AI and ML solutions have transformed businesses, straight from our clients' experiences.
Seamless Maintenance and Expert Support
Start Your Journey with and Revolutionize Your Creative Process
FAQs
You asked, we precisely answered.
Still got questions? Feel free to reach out to our incredible
support team, 7 days a week.
What is MCP and why do you need it?
The Model Context Protocol (MCP) is an open standard that allows AI models to securely connect with external tools, systems, and real-time data through a single universal interface. Instead of building custom integrations for every AI application, MCP enables scalable, secure, and context-aware access to business logic and proprietary resources, making AI systems more powerful and easier to maintain.
How do you develop an MCP server?
MCP server development starts by identifying the tools and data the AI needs, defining schemas based on MCP specifications, and building the server using Python or TypeScript with the MCP SDK. The process includes implementing resource providers, tool handlers, security controls, testing, and monitoring, with the full development cycle typically taking between 2 and 8 weeks depending on complexity.
How secure are MCP server implementations?
MCP server security depends on proper implementation and typically includes OAuth or JWT authentication, role-based access control, input validation, rate limiting, encrypted communication, and audit logging. Industry best practices such as OWASP guidelines are followed, and additional compliance measures can be added for regulated industries like healthcare or finance.
Can MCP servers integrate with existing enterprise tools?
Yes, MCP servers are designed to integrate seamlessly with enterprise systems such as databases, cloud storage, CRMs, ERPs, communication tools, and DevOps platforms. Any tool with an API, SDK, or database connection can be exposed to AI models through MCP while maintaining consistency and security.
What’s the typical timeline for MCP server development?
A basic MCP server with a few integrations usually takes 2–3 weeks, while more complex implementations with multiple tools and advanced security require 6–8 weeks. Large enterprise deployments with compliance and extensive testing may take 12 weeks or more, often delivered iteratively.
How do MCP servers handle high traffic loads?
MCP servers manage high traffic using load balancing, caching, connection pooling, stateless architecture, and containerized deployments that scale automatically. Performance monitoring and optimization ensure reliable operation even under heavy usage.
What ongoing maintenance do MCP servers require?
Ongoing maintenance includes monitoring logs and performance, applying security updates, managing API changes, optimizing integrations, and adding new resources as business needs evolve. Maintenance can be handled fully by a managed service, internally by your team, or through a hybrid approach.
Can you migrate existing AI integrations to MCP?
Ongoing maintenance includes monitoring logs and performance, applying security updates, managing API changes, optimizing integrations, and adding new resources as business needs evolve. Maintenance can be handled fully by a managed service, internally by your team, or through a hybrid approach.
