February 3, 2026
Build Future’s Enterprise With
AI Center of Excellence
Develop, operate & scale enterprise AI foundation- beyond isolated initiatives. Embed AI into the operational system, automatic strategies, and decision engines.
Engineered for Excellence:
Talent, Domains & Deployment
Our CoE services are backed by proven expertise,
years of experience, and 100+ business successes.
Dedicated CoE Professionals
Full-stack team of AI, ML, MLOps, data science, and solution architecture experts making digitization a part of the operations.
4 Specialized Units
Strategy, ML Engineering, Data Science, and Solutions Architecture to build next-gen software.
Select AI Model
Select AI Specific Actions
8 AI Domains
Machine Learning, NLP, Computer Vision, AR, VR, Predictive Analytics, Data Analysis, and Multimodal AI.
Proven framework validated across 250+ successful
5 Phase Methodology
A proven development methodology across dedicated AI POD, analytics, and intelligent automation projects.
AI CoE Innovation Units
From strategy to data and deployment, connect to AI CoE Strategic Units
to explore and implement multiple AI technologies.
Vision & Direction
AI Strategic Consultant Unit
Dedicated Execution POD
- AI Vision & Roadmap Definition
- Use Case Discovery & Prioritization
- AI Governance & Ethical Frameworks
- Technology & Architecture Advisory
Observability
ML Engineering
Unit
Unit
Dedicated POD & Senior Engineers
- Model Development & Optimization
- MLOps & Model Lifecycle Management
- Scalable Deployment & Integration
- Performance Monitoring & Continuous Improvement
Advanced Analytics
Data Science & Analytics Wing
Dedicated POD & Senior Engineers with Consultants
- Data Exploration & Feature Engineering
- Advanced Analytics & Predictive Modeling
- Experimentation & Model Validation
- Insight Communication & Business Alignment
Cloud-Native
Solutions Architecture
Modular AI Delivery PODs
- End-to-End AI Solution Design
- Cloud & Infrastructure Architecture
- Security, Compliance & Risk Architecture
- Scalability & Future-Ready Planning
5-Phase AI Implementation Methodology
A custom-tailored delivery methodology aligning with real-time business requirements, transformation
programs, and operational workflow.
1
Vision Alignment & Strategic Brainstorming
End-to-end roadmap development for strategic alignment, feature integration, and cost estimation.
Decision-Makers: CXO Alignment
2
Designing and Product Prototype
Architecture & technical blueprinting, interactive prototyping & validation with business requirement analysis.
Decision-Makers: Business Validation
3
Product Development and Integrations
Data pipeline & model implementation, feature development, quality assurance wth performance testing.
Decision-Makers: IT Governance
4
Post-Launch Monitoring & Optimization
Consistent monitoring of usage patterns and performance metrics after launch for bug fixes and stability enhancements.
Decision-Makers: Operational ROI
5
Success Assurance & Continuous Growth
Model retraining to align software with evolving business needs, and infrastructure optimization to handle traffic spikes.
Decision-Makers: Strategic Growth
Proven Results Across Industries
Delivering measurable impact and consistent success for businesses across diverse industries.
3.4X ROI
achieved within 12 months
of selected enterprise
AI transformation programs
*ROI Calculation based on Increased Productivity Gains and Operational Cost Reduction
45%
Faster production rollout with
accelerator-powered build cycle
92%
Client retention rate maintained
across multiple AI-implementation programs
250+
AI-powered solutions delivered
across automation and analytical systems
Industry-Specific Results
Enterprise RAG Model Accelerating Claim Resolution Speed by 42% For Large Insurance Organization
A custom-tailored enterprise RAG Model that unifies claims data, policy documents, knowledge bases, and health records to process claims with increased accuracy and speed that further supports better decision making.
- Project Duration- 14-18 Weeks
- Team Size- 7-9 Specialists
- Data Volume Processed- 3-6 TB
- Integration Complexity- Very High
About Client
Large insurance firm that deals in multi-line high-volume claim operations
42%
Faster Claim
Resolution
Resolution
98%
Policy Retrieval
Accuracy
Accuracy
35%
Reduced Manua
Claim Review
Claim Review
Insurance
Computer Vision Model Reducing Production Defects by 30% for a Global Manufacturer
Designed and integrated a production-grade computer vision and IoT system that consistently detects defects while standardizing quality inspection and reducing the chances of low-grade product supply across multiple manufacturing lines.
- Project Duration- 12-16 Weeks
- Team Size- 5-7 Specialists
- Data Volume Processed- 1-2 TB
- Integration Complexity- Medium To High
About Client
A global manufacturing unit operating high-volume and multi-location production facilities.
30%
Reduced
Production Defects
Production Defects
20%
Less
Rework
Rework
99.2%
Inspection
Accuracy
Accuracy
Manufacturer
Document AI Modules Reducing Invoice Processing Time by 40% Across a Logistics Supply Chain Network
Implemented a Document AI module in a conglomerate logistics company that automates data extraction, ERP integration, invoice ingestion, and validation to bring transparency among the stakeholders.
- Project Duration- 10-14 Weeks
- Team Size- 4-6 Specialists
- Data Volume Processed- 500 GB – 1 TB Per Month
- Integration Complexity- High
About Client
Multinational logistics firm with multi-vendor invoice flows.
40%
Reduced Invoice
Processing Time
Processing Time
3X
Faster Invoice-to-
Payment Cycles
Payment Cycles
65%
Less Manual
Entry Errors
Entry Errors
Logistics
AI Accelerator Suite Facilitating 5X Better Project Monitoring for a Construction Firm
Deployed an AI accelerator suite that automates tasks like progress tracking, real-time project visibility, and advanced risk identification for large-scale construction sites.
- Project Duration- 16-20 Weeks
- Team Size- 6-8 Specialists
- Data Volume Processed- 8-12 TB
- Integration Complexity- High
About Client
An enterprise construction company that manages multi-site infrastructure projects.
5X
Better Project
Monitoring
Monitoring
28%
Reduced Schedule
Deviation
Deviation
40%
Faster Project
Reporting
Reporting
Construction
Lightning-Fast Time to Production
Built on proven AI accelerators developed across 250+ implementations
3 – 4
Months
Months
45%
Faster
Time-to-
Production
2 – 2.5
Months
Months
How Accelerators Enable Lightning-Fast Delivery
Accelerator architecture is specifically designed for enterprise-grade governance, catalyzing the
delivery process by eliminating redundancies while deploying proven delivery patterns.
Pre-Built Components
Reusable data pipelines, inference APIs, model templates, feature stores, pre-configured NLP and computer vision modules for a fast and secure deployment.
Proven Patterns
MLOps pipelines, RAG using LLMs, event-driven data processing, and vector search for AI CoE services that accelerate development and deployment time.
Instant Deployment
Quick deployment with REST or gRPC APIs, AWS SageMaker, Google Vertex AI, and more to reduce time from experimentation to deployment.
Quality Assurance
AI for drift detection, automated testing for model performance, latency, and bias to align software capability to evolving business needs.
How Enterprise Engages With Us
A structured engagement framework powering controlled pilots, strategic assessment, capability
institutionalization, and sustained AI value realization.
-
AI Strategy Consulting
(2–4 weeks)Defines enterprise priorities, AI vision, governance, and value-driven implementation roadmap. -
Pilot Use Case Deployment
(6–8 weeks)Validates the prioritized use cases via controlled pilots, efficiently delivering measurable outcomes. -
AI CoE Unit Setup
(2–3 months)Establishes operating models, structured AI Unit, governance, and scalable deliverables. -
Long-term Optimization ProgramConsistently enhances AI adoption, performance, and automation of enterprise operations.
AI CoE Professional Assessment Suite
Explore our result-oriented AI tools for enterprise-grade evaluation, bring confidence in AI implementation, and make data-driven decisions to reduce overall risk.
Evaluate Readiness
AI Readiness Assessment
Assess your strategic vision against your AI-deployment readiness by scoring technology stack compatibility, data maturity, and innovation culture index.
Assess Positioning
Maturity Framework
AI CoE maturity model to check your maturity level from the five key phases of AI adoption- Awareness, Active, Operational, Systemic, and Transformational.
Calculate Returns
ROI Calculator
Weigh your financial gains of AI implementation in the system with a deep dive into revenue growth estimation, productivity gains, and cost saving analytics.
Facilitate Automation
Explore Accelerators
Explore our library of ready-to-integrate accelerators to bring AI capabilities into your legacy digital ecosystem, reduce development time, and accelerate enterprise AI adoption at scale.
AI CoE Partnership Tiers
Choose from our range of AI Center of Excellence partnership tiers, specially designed to align with projects of various sizes.
Recommended
01
Foundation Program
$50K – $100K/mo
Typical Engagement Investment Range
POD Structure
-
1 AI Solution Architect
-
1 ML Engineer
-
1 Data Engineer
-
Shared MLOps Support
-
AI Use Case Discovery & Prioritization Workshop
-
Accelerator-Based Rapid Prototyping (OCR, Document AI modules, etc)
-
MVP Development (1–2 AI Use Cases)
-
Secure Cloud AI Setup (AWS / Azure / GCP compliant environments)
-
Monthly AI Performance Review
-
Business Impact:
Typical Time-to-First AI Output: 4–6 weeks
Popular
02
Scale AI CoE Program
$100K – $250K/mo
Typical Engagement Investment Range
POD Structure
-
AI Program Manager
-
Senior ML Architect
-
2–3 ML Engineers
-
Data Engineering Unit
-
Dedicated MLOps Engineer
-
Multi-Use Case AI Rollout (3–6 solutions)
-
NineHertz AI Accelerators Suite Access (including Enterprise RAG Framework, Computer Vision Model Templates, etc.)
-
Production Deployment & Monitoring
-
24×7 AI Infrastructure Support
-
Quarterly Executive Business Reviews
-
Business impact
- • 25–40% process automation uplift
- • 30% reduction in manual operations
Apex
03
Enterprise Program
$250K – $500K/mo
Typical Engagement Investment Range
POD Structure
-
Dedicated AI Delivery Office
-
AI Product Owners
-
Domain Specialists
-
ML Research Cell
-
Enterprise Data Architects
-
Dedicated Support Center
-
Enterprise AI Operating Model Setup
-
Organization-Wide AI Rollout (HR automation, Finance intelligence, etc.)
-
Custom AI Accelerator Development
-
Digital Twin / Industry 4.0 Integrations
-
Real-Time Business Intelligence Layer
-
Business Impact
Clients typically achieve 2–3x ROI within 12 months through enterprise automation and optimization.
Assess Your Enterprise AI Readiness Today
Map automation opportunities, unlock business value, and deploy a personalized AI implementation strategy.
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