AI Software Development Company in India

Before even starting to write code, we can help you decide if AI is a suitable instrument for solving your problems. This includes performing an assessment of the build vs buy strategy, choosing the type of AI solution to be employed such as standard ML technologies or generative AI, then understanding which leading-edge models to consider and developing an approximate budget and timeline.

• Identify relevant use cases and evaluate their feasibility
• Perform AI readiness audit of your existing systems and data
• Develop technology and architecture recommendations
• Provide an assessment of build vs. buy strategies and choose a model provider
• Conduct risk, compliance, and governance planning activities

Since different businesses operate differently, off the shelf systems are rarely enough. Our custom AI development means creating a product tailored specifically to your workflow, data, business goals and requirements.

• Custom AI application design and architecture
• End to end development from proof of concept to production
• Business logic driven AI features, not generic templates
• Scalable builds that grow with your data and user base

This is the fundamental engineering work necessary to establish any AI system — performing the actual modeling and training of the AI system. Our data science professionals carry out model architecture selection, organize and clarify the data set, train the model, and validate it before launch.

• Data gathering, cleaning, and preparation
• Model selection and training
• Deep learning model creation (CNN, RNN, transformer-based models)
• Model evaluation, checking for bias and accuracy
• Continuous retraining of machine learning models

Generative AI emerges as one of the fastest-growing areas of AI software development and the artificial intelligence team strives to deliver working applications rather than demonstrations. The team works with LLMs in order to create various assistant applications, content generation tools, and other automated tools.

• LLM application development (GPT, Claude, Gemini, open-source)
• RAG-based technology for accurate responses
• Prompt engineering, in particular for corporate-specific branding
• AI content generation solutions and document summarizing solutions 
• AI copilots for the teams engaged in support, sales, and other operations

AI agents are more advanced than chatbots because they can perform multi-step tasks on their own without needing human input. We create single and multiple agents that can carry out complex tasks.

• There are task-specific agents (e.g. scheduling, data entry, research)
• When talking about multi-agent systems, agents perform complex tasks together to accomplish certain goals.
• Agents can have private access to tools and APIs (in a secure way).

We develop intelligent, human-like chatbots that can provide assistance to customers and help qualify leads any time of the day. 

• Chatbots are trained using your business information.
• The chatbot can be made available on various platforms.
• The chatbot will answer your questions in a human-like manner.
• Chatbot can integrate with CRM and helpdesk software.

By using both historical and real-time data, we can create models that enable our clients to forecast future events, such as sales, customer churn or the need to replenish stock, so that all decisions are grounded in facts rather than random conjectures. 

• Sales forecasting and demand models 
• Predictive customer churn and behaviour models
• Models for fraud detection and risk scoring
• Custom dashboards for comparison of predictions and actual results

NLP solutions make it possible for your software to comprehend and respond in both verbal and written language. This can be used for support ticket analysis or the creation of voice-controlled applications etc.

• Text classification or sentiment analysis 
• Support tickets and feedback analysis 
• Voice-controlled applications and voice-to-text solutions 
• Automation of contracts and documents analysis

Our products allow the software to process images and videos, which helps with the following tasks: 

• Object detection and image recognition 
• Automated quality assessment in manufacturing 
• Visual searching 
• Analytical video monitoring

Creating new software from the ground up is not always necessary. As an AI development company, we often implement innovative services and functionalities - including product suggestions, clever search features, and automated processes - into websites, online apps, and business machinery that already exist in the industry.

• Incorporating AI technology into existing applications or websites
• Implementation of AI solutions through the use of APIs
• Updating out-of-date systems with the use of AI development technologies
• Synchronisation of AI information outputs with CRMs, ERPs, and technology help desks

Our company uses AI and process automation in order to relieve professionals from handling mundane and repetitive tasks such as inputting information into databases, file routing, and creating approvals.

• Faxing documents, files, and inputs
• Business approval and reporting automation
• Organizing intensive processes at various stages
• Syncing with other tools and technology

This service is aimed at companies that want AI features to be connected to several products or groups of employees, thus the AI system will be made as a stand-alone API/microservice that can be either reused or used as desired.

• Customized AI API design
• Microservices architecture for scalable AI features
• Secure authentication and rate-limiting for API access
• Documentation for internal or third-party developers

MLOps and AI infrastructure management MLOps practices facilitate not only initial deployment of machine learning models but also ensure uninterrupted performance of models as data grows. Our MLOps services include:

• Cloud-based setup of AI infrastructure in AWS, Azure, and Google Cloud
• CI/CD pipelines for deployment of models and periodic upgrades
• Performance monitoring, drift detection, and alerts
• Scheduled retraining of models over time.

AI software testing and quality assurance Traditional software and AI systems each require distinct testing techniques since they fail in different ways. We validate correctness and consistency as well as handling of out-of-norm cases before and after the systems go live.

• Accuracy testing of AI models
• Regression testing after either model or data updates
• Load and performance testing of AI-powered solutions.

AI security and compliance AI systems process sensitive information and execute decisions automatically, so security cannot be ignored. We build security measures at the development stage and ensure conformity of the systems to applicable data protection standards.

• Data encryption and access control
• Security of training and inference data
• Protection against prompt injection and data loss in GenAI applications.

If you are trying to create AI-based products for sale rather than for internal use purposes, our AI software development company can take your product from the initial stage to successful multi-tenant SaaS platform in the shortest period.

• Definition of AI Product Vision and MVP
• Multi-tenant SaaS architecture with necessary AI capabilities
• Setting up subscription billing and usage-based pricing
• Post launch improvements