New Delhi: Mphasis, a leading IT solutions provider specializing in cloud and cognitive services, announced the launch of Mphasis NeoIP™, a unified Artificial Intelligence (AI) platform engineered to deliver continuous enterprise transformation. The platform integrated multiple Mphasis.ai innovations and aimed to perpetually rewire core systems, turning legacy knowledge, data, and operations into intelligent engineering capabilities.
At the heart of NeoIP™ was Ontosphere, an ontology-powered knowledge graph that enabled machine-understandable enterprise knowledge. This dynamic, living layer unified data, systems, and processes to proactively optimize, modernize, and transform both business and IT operations. Unlike traditional transformation programs that required periodic reinvestment, NeoIP™ empowered organizations to evolve continuously, embedding intelligence early in the software and operations lifecycle.
NeoIP™ automated complex decision-making, predicted and prevented issues before they occurred, and fostered sustained innovation. It created self-healing, resource-efficient systems that learned and improved over time. The platform also integrated evergreen business intelligence with AI-assisted implementation, enabling continuous learning and evolution with every initiative. By creating a connected, data-centric environment, NeoIP™ facilitated collaboration between AI and human teams to plan, build, and manage transformation efforts.
Nitin Rakesh, Chief Executive Officer and Managing Director of Mphasis, stated, “Traditional enterprise transformation often fails to deliver value and requires ongoing reinvestment to keep pace with AI’s rapid evolution. NeoIP™ redefines the model. It brings together Mphasis-built AI solutions, partner technologies, and client assets into a single platform that supports multiple data sources, large and small language models, and computing environments. It represents the future of enterprise tech, which is intelligent by design, secure by default, and scalable by nature.”
A key component of NeoIP™ was Ontosphere, which collaborated with various AI agents to construct and sustain intelligence through dynamic knowledge graphs contextualized by enterprise domain expertise. These capabilities formed the foundation for contextual insights, autonomous actions, and intelligent orchestration, ensuring that AI-driven transformation remained fast, accurate, and strategically aligned with long-term business goals.
NeoIP™ grouped its solutions under four categories: Modernization, Application Development, ITOps, and BusinessOps. These were delivered via specialized AI agents and frameworks, including:
- Mphasis NeoCrux™: Orchestrated AI-driven code generation and quality automation.
- Mphasis NeoZeta™: Addressed modernization challenges through comprehensive knowledge graphs.
- Mphasis NeoSaba™: Provided agile AI agents for quality-driven product definition and user story elaboration.
- Mphasis NeoRigal™: Offered governance capabilities for planning, building, and orchestrating AI components.
- Mphasis AIOps: Delivered integrated operations with proactive incident prediction, root-cause analysis, and self-healing automation.
- Mphasis NeoOrko™: Managed agent, model, and knowledge operations.
- Mphasis NextOps™: Included domain-specific autonomous business operations agents.
- Mphasis NeoARCHE™: Enabled autonomous routing of workloads between CPU and GPU for compute heterogeneity.
- Ontosphere: Encoded enterprise intelligence with contextual knowledge based on domain ontologies.
NeoIP™ also supported third-party AI agents through Model Context Protocol (MCP) and Agent2Agent (A2A) standards, expanding the agent fabric for unified, cross-enterprise orchestration.
Early client deployments demonstrated significant impact:
- Up to 60% improvement in development and modernization efficiency through AI-led code generation, testing, and optimization.
- 50% reduction in mean time to detect and resolve IT incidents due to enhanced observability and automation.
- 3–5 hours of predictive early warning for major outages using AI-based anomaly detection.
- Sustained cost and margin improvements through a savings-led transformation approach.
- Creation of a cloud-ready, composable, business capability-driven platform with real-time event-driven architecture.
Mphasis also transformed its internal AppStore into an AI-powered marketplace, allowing employees to discover, download, and utilize NeoIP™ solutions with ease. Intelligent search and curated categories streamlined access to tools that enhanced innovation and operational efficiency.
Looking ahead, NeoIP™ laid the foundation for Mphasis’ next phase of innovation under the Mphasis Quantum initiative, which would introduce quantum computing and AI-based solutions to further elevate enterprise decision-making and transformation.
