Create competitive advantage by scaling AI within the enterprise

• Drive business impact with applied AI solutions.
• Uncover new value creation opportunities in your business by leveraging “dark data” like text, images, and videos with advanced AI technologies and C5i’s Intellectual Property (IP).
• Set up and scale enterprise-class Cloud, Hybrid, and On-Premise Data Infrastructures.
• Deploy AI at scale using MLOps.

Drive data modernization, operational agility, and scalable data transformation using C5i’s Intelligent Data Engineering Suite (iDES) and DataOps capabilities.

• Sharpen enterprise data strategy with C5i’s two-dimensional offensive and defensive strategy.
• Standardize and optimize current data estate for improved scalability, governance, and cost efficiency.
• Reduce Total Cost of Ownership (TCO) through hybrid/poly-cloud transformation methodology – strategize, realize, operate.
• Automate and optimize data pipelines and workflows using DataOps practices for reliable, scalable, and high-quality data operations.
• Measure data quality and automate Data Quality Management by leveraging Data Quality Index.
• Build Product, HR, and Customer 360-degree views with our ML-driven Intelligent Master Data Management solution.
• Implement Data Security and Data Governance best practices and frameworks.
• Build Data Products to help businesses make better decisions for the future.
• Run Intelligent Operations using real-time AI-based data pipeline failure prediction, monitoring, and auto-correction.
• Enable faster insight delivery through automated orchestration, continuous integration, and real-time data observability.

Scale models to production by unifying the machine learning (ML) lifecycle and MLOps excellence​ using C5i’s MLFlow360

• Model Training & Operations​: Set up pipelines to perform tasks sequentially and repeatedly, and manage them.
• Model Deployment​​ and Monitoring: Automate deployment and address the eventual degradation of models over time.
• IaaC: Use Infrastructure as a Code to ensure repeatability and reproducibility. Automate infrastructure deployment and recovery management.

Enhance business intelligence, augmented analytics, and visual experiences for users:

• Optimize cost by migrating to cloud-based Business Intelligence tools using C5i’s automation tool, BI Migrator.
• Enhance existing visuals and accelerate insight discovery with inbuilt analytics, AI, and augmented analytics capabilities.
• Improve insight consumption through design thinking workshops, visual storytelling, conversational analytics, and web-based visualization.
• Make data and insights more impactful with animated videos using kinetic typography, real footage-based videos, explainer videos, and standard video editing.
• Leverage infographics representing statistical data with editorial and custom designs.
• Enable self-service and AI-assisted analytics experiences through intuitive dashboards, natural language interactions, and intelligent insight recommendations.

Use AI as a Service (AIaaS) for cost-effective and reliable AI and ML implementations

• Drive use case-based cloud infrastructure design.
• Deploy graphics processing units (GPUs), tensor processing units (TPUs), or specialized AI accelerators based on workload.
• Implement robust solutions for data storage and access.
• Deploy ML libraries, programming languages, and distributed computing platforms.
• Set up, configure, and monitor the cloud infrastructure for optimal performance.

Operationalize AI and machine learning at scale with enterprise-grade MLOps. Accelerate model deployment, monitoring, governance, and optimization through automated workflows, scalable infrastructure, and seamless collaboration across data science, engineering, and IT teams.

Unlock connected intelligence across enterprise data with AI-powered knowledge graphs and graph analytics. Unify structured and unstructured data to reveal hidden relationships, improve contextual understanding, accelerate discovery, and enable faster, more informed decisions across customers, products, operations, and business ecosystems.

Scale enterprise productivity and intelligent automation with generative AI and agentic AI. Deploy governed AI agents to automate workflows, orchestrate decisions, generate insights and content, and enable human-in-the-loop execution while improving operational efficiency, responsiveness, and business impact at scale.