Empowering Enterprises Through

Data and Digital Modernization

ReKnew's pre-built accelerators enable rapid delivery of high-impact use cases - risk, compliance, fraud detection, complaint resolution, etc. - while modernizing data infrastructure to ensure secure, reliable AI adoption.

Built by Practitioners, Designed for Scale

Our team consists of former enterprise data leaders with decades of experience in building modern, cloud-native data platforms. We bring deep expertise in:

Modernization Roadmaps

Strategic planning to align data investments with business outcomes.

Cloud-Native Architecture

Designing and implementing scalable, secure, and future-ready data ecosystems.

ROI-Focused Delivery

Measurable impact through streamlined implementation and automation.

Bridging the Gap for

Scalable AI Adoption

ReKnew's Context Engineering™ approach helps enterprises adopt AI by closing the gaps across data, cloud,workflows, and talent. ReKnew helps business groups mitigate "Context Chasm".

Context Engineering™: A Smarter Approach

Our proprietary Context Engineering™ framework enables organizations to create clear, actionable AI adoption roadmaps. It aligns data with business context - ensuring AI is not just a technology investment, but a catalyst for real-world outcomes.

AI Adoption: Safe, Strategic, Impact-Driven

With our "Business Value as the Driver" approach and "Safe from the Start" architectural principles, we help enterprises deploy AI responsibly - turning innovation into a force for good.

Decades of Experience in Global Execution.

Our team brings decades of proven success in delivering data, machine learning, analytics, and AI solutions. Backed by a fast-moving global delivery model, we prepare both business and IT groups for the demands of an AI-native world.

Enhancing Enterprise Intelligence Through

Workflow Automation

ReKnew helps enterprises unlock new levels of intelligence by automating business workflows across the organization. From data to DevOps, our solutions streamline operations and empower faster, smarter decisions.

S Quad™ Suite: Accelerators for Agentic Transformation

Our proprietary S Quad™ suite of accelerators enables rapid design and deployment of intelligent agents - seamlessly integrating them across your enterprise's Data, Application, DevOps, and ERP layers.

From Pilots to Platform Adoption

Many organizations experience isolated automation wins. Our structured delivery model helps both business and IT teams evolve from these one-off successes to fully operational agentic platforms that scale across functions.

Built for the Business Groups

ReKnew's pre-built knowledge graphs are designed to support data-driven decision-making for leaders across the enterprise - including CFOs, CMOs, CROs, and CIOs - accelerating insights and improving outcomes.

Real Use Cases. Measurable Value. Fast Delivery.

We bring an ever-expanding portfolio of pre-built use cases across:

Risk & Compliance

Customer Engagement

Fraud Detection

Financial Operations

With implementation timelines measured in weeks, our solutions deliver real business value fast.

How We

Partner

ReKnew's services are designed to partner with enterprises in modernizing data platforms, accelerating AI adoption, and implementing intelligent automation.

Modernizing Enterprise Data Assets

Modernize Data, BI and Analytics platforms to be Cloud Native, with the right grain and available at scale

Data Strategy

Cloud Migration

Data Virtualization

Data Mesh

Real Time Data

Semantic Data Models

Data Ops

Market Place

Data Governance and Context

Safety from the start protocols helps deliver highly governed data which provides comprehensive context of the data. Contextualized data enables business groups make decisions confidently.

Reference Data

Data Quality

CDE Certification

Data Observability

Data Catalog

Governed Data Pipeline

Privacy Controls

Traceability

Purpose Driven, Self-Service Business Analytics

Empower business users to independently explore data, generate impactful insights, and make informed decisions - with clear alignment to strategic business goals.

Conversational BI

AI / ML Workbench

Governed Sandbox

Data Literacy

Measurable Outcomes

NLP Driven Ops

API Layer

Access Protocols

Gen AI Adoption

Transformational impact on enterprises by optimizing how businesses innovate, automate, and engage, unlocking new levels of productivity, creativity, and efficiency.

Center of Excellence

Roadmaps for Adoption

Risk & Compliance Framework

Model & Platform selection

Synthetic Data Generation

Model Observability

Upskill the Talent

Business Impact

Enterprise Knowledge Graphs

Smart solutions enabling machines and humans to access, understand, and use information contextually leveraging semantic metadata, ontologies, and relationships to connect data across silos.

Data Rich & Insights Rich Solutions

Customer & Product & Channel Graphs

Intelligent Search & Discovery

Compliance & Risk Management

Supply Chain & Operations

AI & NLP Integration

Business Workflow Automation

Acceleration from POC to productionized intelligent agentic systems that automate, integrate, and optimize complex business processes enterprise-wide.

Roadmap for Agentic Platform

Center Of Excellence

Vertical Agents for Use Cases

Orchestration Layer

Speed

Scale

Sophistication

Safety

Success Stories

Real-Time Engagement Scaled Impact Customer Experience

From Reports to

Real-Time

Engagement

Our team enabled a large global financial institution to modernize its data infrastructure and analytics, transitioning from traditional reporting to real-time customer engagement across omnichannel digital platforms.

Key Actions:

Created strategic backlog of operational and analytical data and back-wide real-time event taxonomy
Isolated traditional needs from modern needs to allow two-speed architecture
Modernized stack to integrate fast and slow data, data services (APIs), and serving layers

Outcomes:

Enabled data utilization for personalized customer engagement across digital channels
Developed modern data infrastructure using Hadoop and Kafka
Established a new Agile DataOps function

From Siloed to

Scaled

Impact

Partnered with a large national financial institution to redesign its AI engagement and operating model, transitioning from siloed efforts to a scalable hub-and-spoke structure that resulted in a 2.5x increase in AI-driven value.

Key Actions:

Delivered AI strategy and roadmap, business opportunity plans, and a data literacy program
Conducted talent and operating model assessments
Redesigned operating model to a hub-and-spoke model
Established new metrics, goals, platforms, and a cloud analytics roadmap

Outcomes:

Scaled impact 2.5x (from $20MM to $60MM in new annual value)
Business-aligned AI pods sized to investments and roadmap
Hub-and-spoke model that ensures consistency, collaboration, and cohesion

Cut Costs. Elevate Experience.

Delight

Customers.

We optimized a large national financial institution's customer service division by deploying AI-powered models across digital channels, ultimately reducing operational expenses, enhancing efficiency, and increasing client satisfaction.

Main Actions

Deployed AI models to identify customer friction
Predict in-the-moment customer needs
Optimize agent routing
Deliver dynamic digital presentations

Outcomes

Reduced operational expenses with predictive analytics
Increased effectiveness of self-service and agent support through AI-driven insights
Enhanced customer satisfaction with more personalized and proactive experiences

Data Flow

Digital Ineraction