Mphasis Unveils NeoIP™: Revolutionizing Enterprise Transformation with a Unified AI Platform

Mphasis Launches NeoIP™: An AI platform Redefining Enterprise Transformation

October 27, 2025

A leading Information Technology solutions provider has announced the launch of NeoIP™, a new artificial Intelligence (AI) platform meticulously designed for sustained enterprise evolution and a competitive edge. The platform is engineered to continuously refine core systems, harnessing enterprise knowledge from legacy infrastructure, data analysis, and operational processes to drive intelligent engineering.

The Core of NeoIP™: A Living Enterprise Understanding

At the heart of NeoIP™ lies a dynamic, interconnected understanding of the enterprise, seamlessly integrating data, systems, and processes. This unified approach proactively optimizes, modernizes, and transforms both business and Information Technology operations. The platform enables organizations to evolve continuously, rather than relying on infrequent, large-scale transformation programs, by rendering enterprise knowledge comprehensible to machines.

neoip™ automates intricate decision-making, anticipates and mitigates potential problems, and stimulates ongoing innovation. It arms Chief Information Officers and business leaders with the tools to proactively embed intelligence early in the software and operations lifecycle.This creates self-healing, resource-efficient systems that learn and improve over time.

Key Components and AI agents

The platform integrates up-to-date business intelligence with AI-assisted implementation, fostering continuous learning and evolution. It establishes a connected, data-focused environment where AI and human teams collaborate to strategize, build, and manage evolution initiatives.

“Conventional enterprise transformation ofen falls short of expectations and demands consistent reinvestment to stay aligned with the fast pace of AI advancements,” stated Nitin Rakesh, Chief Executive Officer and Managing Director. “NeoIP™ introduces a new paradigm, integrating internally developed AI solutions, partner technologies, and client assets into a single platform supporting diverse data sources, large and small language models, and computing environments. It embodies the future of enterprise technology: intelligent by design, secure by default, and inherently scalable.”

Ontosphere: The Intelligence foundation

A critical component of NeoIP™ is Ontosphere,which,in collaboration with a variety of AI Agents,constructs and maintains intelligence through dynamic knowledge graphs utilizing enterprise domain expertise. Together, these capabilities establish a foundation for contextual insights, autonomous actions, and intelligent orchestration, ensuring AI-driven transformation is rapid, precise, and strategically aligned with long-term business objectives.

NeoIP™ Capabilities Across Four Categories

NeoIP™ encompasses solutions categorized under Modernization, Request Growth, ITOps (IT operations), and BusinessOps-delivered through specialized AI agents and frameworks. A breakdown of these is outlined below:

Agent & Frameworks	Category	Function
Mphasis NeoCrux™	Modernization,App Development	Orchestrates AI-driven code generation and quality automation.
Mphasis NeoZeta™	modernization	Enables organizations to overcome modernization challenges through a complete knowledge graph.
Mphasis NeoSaba™	Application Development	Provides agile AI agents for quality-driven product definition and user story elaboration.
Mphasis NeoRigal™	Governance	AI Agent for planning, building, and orchestrating various AI components, and provides AI governance.
Mphasis AIOps	ITOps	Offers capabilities for integrated operations, including proactive incident prediction, root-cause analysis, and self-healing automation.
Mphasis NeoOrko™	Application Development	Agent, model, and knowledge operations management system.
Mphasis NextOps™	Business Ops	A collection of domain-specific business operations agents that are autonomous in nature.
Mphasis NeoARCHE™	Application Development	Analyzes code streams to route workloads between CPU & GPU: Autonomous Routing for Compute Heterogeneity.
Ontosphere	Modernization, App Development, ITOps, Business Ops	Enterprise intelligence encoded with contextual knowledge based on domain ontologies.

NeoIP™ integrates with third-party AI agents through Model context Protocol (MCP) and Agent2Agent (A2A) standards,extending the agent network for cohesive,enterprise-wide orchestration.

Measurable Results from Early Adoption

Initial client deployments have demonstrated ample improvements, including:

• Up to 60% advancement in development and modernization efficiency through AI-led code generation, testing, and optimization.
• A 50% reduction in Mean Time to Detect (MTTD) and resolve IT incidents through improved observability and automation.
• Predictive early warning of 3-5 hours for major outages using AI-based anomaly detection.
• Sustained cost and margin improvements through a Savings-led Transformation approach.
• The capability to build a cloud-ready, composable, business capability-driven platform with real-time event-driven architecture.

Mphasis has also transformed its internal application store into an AI-powered marketplace, streamlining employee access to NeoIP™ solutions with intelligent search and curated categories.

NeoIP™ paves the way for Mphasis’ ongoing innovation under the Mphasis Quantum initiative, which will introduce solutions leveraging quantum computing and AI to accelerate enterprise decision-making and transformation.

The Rise of AI-Powered Enterprise Transformation

The adoption of artificial Intelligence in enterprise settings is rapidly increasing. According to a recent report by Gartner, nearly 40% of organizations will be actively using AI-augmented development by 2025. Platforms like NeoIP™ are becoming essential for businesses seeking to stay competitive in an increasingly digital landscape.By automating tasks, improving decision-making, and fostering continuous improvement, AI is fundamentally changing how enterprises operate.

What role do you see AI playing in the future of your industry?

How important is it for businesses to embrace continuous transformation in today’s rapidly evolving technology landscape?

Frequently Asked Questions about NeoIP™

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How does NeoIP™ address the challenges of fragmented AI solutions in enterprise environments?

Understanding the Core of NeoIP™

Mphasis has recently launched NeoIP™, a significant advancement in the realm of enterprise AI platforms. Its designed to address the complexities businesses face when implementing and scaling Artificial Intelligence initiatives. Unlike fragmented AI solutions, NeoIP™ offers a unified, end-to-end platform, streamlining the entire AI lifecycle – from data ingestion and model development to deployment and ongoing management. This integrated approach is crucial for accelerating digital transformation and achieving tangible business outcomes.

key Components of the NeoIP™ Platform

NeoIP™ isn’t a single tool, but a suite of interconnected capabilities. Here’s a breakdown of its core components:

* Data Fabric: A robust data ingestion and planning layer, supporting diverse data sources – structured, unstructured, and real-time. This ensures data quality and accessibility for AI model training.

* AI Model Factory: A collaborative environment for data scientists and engineers to build, train, and validate machine learning models. It supports popular frameworks like TensorFlow, PyTorch, and scikit-learn.

* AI Ops: Automates the deployment, monitoring, and management of AI models in production. This includes features for model retraining, performance optimization, and anomaly detection.

* AI Studio: A low-code/no-code interface empowering citizen data scientists and business users to leverage AI capabilities without extensive coding knowledge. This democratizes AI adoption within the organization.

* neoip™ Connect: Pre-built connectors to leading cloud providers (AWS, Azure, Google Cloud) and enterprise applications, simplifying integration and reducing implementation time.

Benefits of adopting a Unified AI Platform like NeoIP™

The advantages of a unified platform like neoip™ are substantial. Businesses can expect:

* Faster Time to Value: Streamlined workflows and pre-built components accelerate AI project delivery.

* Reduced Costs: Consolidation of tools and automation of tasks lower operational expenses.

* Improved Model Accuracy: Enhanced data quality and robust model validation processes lead to more reliable predictions.

* Increased Scalability: The platform is designed to handle growing data volumes and complex AI workloads.

* Enhanced Governance & Compliance: Centralized management and monitoring ensure adherence to regulatory requirements and AI ethics.

* Democratization of AI: Empowering a wider range of employees to participate in AI initiatives.

NeoIP™ and Specific Industry Applications

Mphasis is targeting several key industries with NeoIP™, tailoring solutions to address specific business challenges.

* Banking & financial Services: Fraud detection, risk management, personalized customer experiences, and algorithmic trading. Leveraging AI in finance for improved efficiency and security.

* Healthcare: Predictive diagnostics,personalized medicine,drug discovery,and automated claims processing. Focusing on AI healthcare solutions to improve patient outcomes.

* Retail: Demand forecasting, inventory optimization, personalized recommendations, and supply chain management. utilizing AI in retail to enhance customer engagement and operational efficiency.

* Manufacturing: Predictive maintenance, quality control, process optimization, and robotic automation. Implementing AI manufacturing for increased productivity and reduced downtime.

* Insurance: Claims automation, risk assessment, fraud prevention, and personalized policy offerings. Applying AI in insurance to streamline operations and improve customer service.

NeoIP™ vs. Traditional AI Implementation Approaches

Traditionally, enterprises have adopted a fragmented approach to AI, piecing together various tools and technologies. This often results in:

Feature	Traditional Approach	NeoIP™
integration	Complex & Time-Consuming	Seamless & Pre-built
Data Silos	Common	Eliminated with Data Fabric
Scalability	Limited	Highly Scalable
Cost	High	Lower Total cost of Ownership
Governance	Challenging	Centralized & Robust
Time to Value	slow	Accelerated

NeoIP™ directly addresses these challenges by providing a cohesive and integrated platform.

Practical Tips for Successful NeoIP™ Implementation

* Start with a Clear Business Problem: Identify a specific use case with measurable ROI.

* ensure Data Readiness: Invest in data quality and preparation.

* Assemble a cross-Functional Team: Include data scientists, engineers, business analysts, and IT professionals.

* Embrace Agile Methodologies: Iterate quickly and adapt to changing requirements.

* Prioritize Model Monitoring & Retraining: Ensure models remain accurate and relevant over time.

* focus on Change Management: Prepare the organization for the impact of AI.

Real-world Examples & Case Studies (Publicly Available Details)

While specific detailed case studies are often confidential, Mphasis has publicly discussed leveraging similar platform approaches for clients in the financial services sector to reduce fraud by up to 30% and improve customer onboarding times by 20%. These results demonstrate the potential of a unified AI platform to deliver significant business value.Further case studies are expected to be released as NeoIP™ gains wider adoption.

The Future of Enterprise AI with neoip™

Mphasis’s NeoIP™ represents a significant step forward in simplifying and accelerating enterprise AI.