Enterprise AI Development Services
Harness the Power of Our Pre-Built AI Framework. Go Live in Just a Week!
AI That Works for Your Business
Integration
Integrate your existing enterprise data sources like Salesforce, internal wikis, and document management systems, allowing AI to extract valuable insights that drive smarter decision-making.
Retrieval-Augmented Generation (RAG)
Our AI leverages the latest in RAG methodologies to enhance information retrieval, ensuring your enterprise data is accessed efficiently and accurately without the risk of data misrepresentation.
Vector Storage
Transform your vast repositories of enterprise knowledge into vector embeddings, ensuring fast and accurate retrieval by Large Language Models (LLMs).
AI Prompt Chaining
Handle complex enterprise challenges with advanced AI techniques such as Chain of Thought and Function Calling, enabling nuanced problem solving and decision-making.
Advanced AI Chatbots
Build enterprise-grade AI chatbots that offer real-time, accurate, and contextually aware responses at scale for users who can be your customers, employees or partners.
Process Automation
Revolutionize your enterprise operations by automating critical workflows and reducing manual intervention, driving operational efficiency and cost savings.
Unlock Potential with Cutting-Edge AI
Data Upload & Integration
Collaborative Design
Proof of Concept & Strategy
Agile Development & Iteration
Deployment & Optimization
Continuous Support & Evolution
Transform your business with our expertise
Why Choose Entrans for Enterprise AI Development?
Framework-Driven Development
Leverage our pre-built AI framework to bring your AI solutions to life in record time.
Client-Centric Approach
We prioritize your business needs and challenges, delivering bespoke solutions that make a real difference.
Continuous Support and Evolution
From initial deployment to ongoing management, we ensure your AI systems evolve with your business.
Our Robust AI Tech Stack
Data Layer
Data Storage Solutions
Data processing
Modelling Layer
Machine Learning Frameworks
Deep Learning
Natural Language Processing
Serving Layer
Model Serving
LLMs
APIs
Monitoring
Integration Layer
CI/CD
Containerization
Microservices
Success Stories
Enhancing Identity Services with AI for Infisign
Enhance your datasets with synthetic data generation, improving model performance and reducing bias.
Enhancing Customer Service with AI Chatbot for a leading healthcare organization
Enhance your datasets with synthetic data generation, improving model performance and reducing bias.
AI for Every Sector
Healthcare
Improve patient care with AI-driven diagnostics and predictive health analytics.
Financial
Secure transactions & personalize customer experiences with AI that understands consumer behavior.
Manufacturing
Boost production efficiency and reduce downtime with predictive maintenance and quality control AI systems.
Retail
Customize shopping experiences and optimize inventory with AI that analyzes buying patterns and predicts trends.
Frequently Asked Questions
The AI development process typically involves problem definition, data collection and preparation, model selection and training, model evaluation, deployment, and monitoring and maintenance.
Effective AI model training requires large amounts of high-quality, labeled data. The specific data requirements vary depending on the AI task.
The development time for an AI solution can range from a few weeks to several months, depending on the project's complexity. At Entrans, we have built a proven AI Framework that helps us build AI solutions comparatively faster to other companies.
We prioritize ethical AI development by mitigating bias, ensuring transparency, protecting privacy, and designing AI solutions with human values in mind. Sources and related content
Some emerging AI trends include generative AI, large language models, and AI-powered automation. These technologies have the potential to revolutionize various industries.
AI can optimize marketing campaigns by analyzing vast amounts of data to identify target audiences, personalize messaging, predict customer behavior, and automate repetitive tasks, ultimately improving campaign effectiveness and ROI.
