SERVICES
Our AI for Business Services
AI-as-a-Service
Fueled by data, it delivers innovation by building APIs, chatbots, and pre-trained AI models through conversational AI, computer vision, documents, and analytics.
Custom AI Development
Tailored AI Solutions are aligned with your goals and niche use cases.Caters to all aspects of privacy, data science, ownership, and understanding of business capabilities.
Consulting
AI consultants can help assess an organization’s maturity, identify use cases, create value, formulate strategy, and couple it down with AI development services.
Machine Learning Ops
Productionize your ML Model with DevOps. We build, deploy, and run all machine learning platforms in the cloud.
Monitoring and Maintenance
Maximize the AI Model’s performance and sustain it through continuous monitoring after deployment.
AI LAB
Innovate, Accelerate,
and Scale with AI
Solutions
Provides a safe and secure place for clients to identify areas of impact, catalyze ideas, produce MVPs, and create scalable blueprints for deploying new AI/GenAI solutions and opportunities.
Are you
Gen-AI Ready?
Organizations today need to ask: are we ready? We’ll help you assess, prepare, and develop a plan to implement GenAI in your organization. Create and realize GenAI proof-of-concept to validate use cases and maximize your business metrics.
INDUSTRY
Our AI for Industries Offerings
Manufacturing
Transform processes, reduce costs, and streamline operations with real-time AI. A few of the use cases we’ve solved are abnormal state detection, failure prevention, and predictive maintenance.
Technology
AI Applications, such as conversational AI, chatbots, robotics, code automation, security, and cloud computing, are present in all tech-enabled segments.
Healthcare
Optimise appointments, increase revenue and deliver superior patient care through chatbots, patient no-show prediction, and medical claim acceptance prediction.
eCommerce
Drive growth and personalization through AI-enabled product recommendations, user segmentation, sales forecasting, dynamic pricing, and inventory optimization.
BFSI
AI in finance can help prevent fraud, recognize entities from legal documents, do credit risk scoring, and loan delinquency analysis. Responsible AI can ensure solutions are compliant and abide by regulations.
EdTech
Hyper-personalize learning with AI tutoring, and predictive analytics. Schools can use AI for enrollment forecasting, administration, behavioral support, and lesson planning.
USE-CASES
Some Applications of AI
Predictive Maintenance in
Robotic Automation
Churn Prediction &
Content Recommendation
Fraud
Detection
Search
Optimization
Credit Risk
Scoring
Inventory
Optimization
Dynamic
Pricing
User
Segmentation
OUR EXPERTISE
Tech Stack
Our robust tool stack combines the latest in AI, data processing, and development frameworks to create seamless, scalable, and future-ready solutions for your business needs.
Knowledge. Insights. Growth.
Blogs & Resources
Unlocking the Power of Content Marketing: Strategies for Success
April 26, 2024
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Mastering Social Media: Tips and Tactics for Business Growth
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FAQS
Frequently Asked
Questions
AI service covers a wide range of use cases that help businesses automate their repeated manual tasks. It can have different segments such as Chatbot and virtual assists, Image and Video recognition, Recommendation systems, Natural language Processing, Predictive Analytics
Depending on the organization’s business goals, AI offers different benefits such as cost reduction, efficiency improvement, time and effort savings, and task automation to name some. There is al-together a different goal of innovation too.
AI-as-a-Service (AIaaS) is a model where businesses use AI tools and solutions using cloud services without building them from scratch. Think of it as a Plug-and-play solution for AI. With AIaaS, companies can use pre-built models for tasks like image recognition, speech analysis, or customer sentiment tracking.
We follow a standard process for all AI services and solutions. It includes these steps in order - Understanding Requirements, Data Collection and Preparation, Model Selection and Training, Testing and Validation, Deployment, Monitoring and Maintenance.
Data will be used in Training Models and anonymization. Rest assured, data is stored on a Secure Storage and is under strict Compliance.
AI is the larger umbrella of creating machines or systems that can perform human-like tasks, such as reasoning, problem-solving, and understanding language whereas ML is a subset of AI that enables machines to learn from the historical data without being explicitly programmed.
