Power AI Adoption and

 Deliver Reliable 

Business Outcomes with Trusted Data

ReKnew helps enterprises build a trusted, modern data foundation that drives consistency, quality, and scalability‍- enabling faster, more effective adoption of AI and agentic platforms

Gain 

Wisdom

 Through 

Contextualized Data

The Key to 

Unlocking Enterprise

 Knowledge

ReKnew's approach delivers the rich contextual understanding needed for Enterprise Gen AIto overcome data limitations and achieve its full potential

Next Gen

 Solutions, Architected

on Four Essential Foundations

Transform enterprise backbone into a future-ready AI infrastructure

Data & AI

Foundation

Data & AI Engineering

Upgrade to AI-Ready

Context Engineered

Vector Stores

Knowledge Graph

Semantic Layer

Establish the foundation if it's lacking or update/upgrade it to match the proposed Data Architecture for AI. The goal would be to get the relevant portions of that assessed AI architecture components to be green - anchored and prioritized to the use cases.

Cloud

Foundation

Cloud Engineering

Enhance to AI-Ready

Context Engineered

LLM Capabilities

Agent Deployment

LLM / Agent Ops

Define the relevant capabilities needed in the cloud to support AI/Gen AI/Agents and help set them up so they can be utilized for use cases by data scientists / AI engineers.

Workflow & Digital

Foundation

Workflow & Digital Engineering

Optimize to AI-Ready

Context Engineered

Agentic Tools

Human-AI Workflows

Agents as a Service

Establish a workflow solution (Access Context Engine, Connector Framework, Workflow Engine etc.) if lacking or update/upgrade it so it can be used by Agents to invoke process actions. This will enable a "Digital Inside" Enterprise.

Talent

Foundation

Talent Engineering

Up-skill to AI-Ready

Context Engineered

Developer Readiness

Workforce Readiness

Agentic Work Redesign

Support Data Literacy and AI Fluency efforts by providing curriculum, hands-on training, change management for workforce to understand how to leverage AI-based solutions, etc.

Context EngineeringTM  for 

Smarter AI

 Systems

Transforming raw organizational knowledge into easily accessible, semantically rich, and actionable context empowers AI systems to understand, reason, and perform tasks with greater accuracy and efficiency across diverse applications

Knowledge Architecture

  • Mapping and organizing existing enterprise data sources (documents, databases, communications, process documentation)
  • Creating taxonomies and relationships between different knowledge assets
  • Identifying gaps and redundancies in organizational knowledge

Data Preparation & Enhancement

  • Cleaning and standardizing data formats
  • Adding metadata and semantic annotations
  • Creating knowledge graphs to represent relationships
  • Developing verification and validation processes

Access Layer Design

  • Building APIs and interfaces for AI systems to access knowledge
  •  Implementing security and compliance controls
  • Creating caching and optimization strategies
  • Designing feedback loops to improve knowledge quality

Context-Aware Integration

  •  Developing prompting strategies to effectively utilize organizational context
  •  Creating evaluation frameworks for context relevance
  •  Building processes to maintain context freshness

ReKnew 

Context

 Engine

Trusted Data

Cloud Enabled

AI & Analytics Powered

Workflows Optimized

Scope of Services

Data & AI Modernization

Data and AI strategy & architecture, data migration, data management and governance, data products & services, data integration, analytics and insights, semantic layer design

Cloud Analytics

Cloud strategy and enablement for data, analytics and AI capabilities. Cloud migration for data, analytics and AI. Cloud adoption and workforce activation

Workflow & Digital Automation

Automation strategy and capability enablement. Human-AI workflow design and orchestration. System integration, API development and intelligent / agentic automation

Skills of the Future

Future proof Business and technical workforce with up-skilling strategy and talent enablement. Hands-on guidance for adoption of AI / GenAI, data & AI literacy, developer experience and business agility

Enabling Capabilities

ReKnew Context Engine TM

ReKnew Accelerators™

Enterprise Outcomes

Speed

Faster time to insight, reduced cycle time in process execution, business agility, accelerated application development

Scale

Cloud infrastructure optimized for data and AI workloads, increased productivity from human-AI collaboration, greater ROI

Sophistication

Modern architectures and techniques driving new business outcomes, enabling future growth

Safety

Safety by design with automation, stronger controls, and traceability

ReKnew 

Accelerators™

Accelerators help enterprises fast track their initiatives by providingwell-defined, configurable and deployable assets

Foundation Layer

Core AI Infrastructure

Domain Tuned LM

  • A fined tuned Language Model grounded on target domain (ex: Banking) that is more reliable than general purpose LLMs.
  • Carefully curated and validated domain datasets provide transparency.

Domain Knowledge Graph

  • A connected graph of knowledge representing an industry domain complete with accessible APIs ready for Agentic use cases.
  • Configurable and enrich able with Enterprise-specific knowledge.

Domain Document Store

  • A carefully curated set of relevant industry documents, vectorized to support RAG use cases.
  • Extendable with Enterprise documents.

Solution Layer

Business Applications

Compliance & Risk Advisor

  • A fined tuned Language Model grounded on a target domain (ex: Banking) that is more reliable than general purpose LLMs.
  • Carefully curated and validated domain datasets provide transparency.

Complaints Manager

  • A fined tuned Language Model grounded on a target domain (ex: Banking) that is more reliable than general purpose LLMs.
  •  Carefully curated and validated domain datasets provide transparency.

Generative Search XP

  •  A Generative Search Experience to enhance customer-facing search results with natural language support and agentic features.
  • Pluggable and easily integrated into existing digital solutions.

Utility Layer

Support Tools & Services

Data Management Hub

  • A fully integrated turnkey data management solution that covers data governance, metadata, quality, lineage, etc.

Data Management Hub

  • A fully integrated turnkey data management solution that covers data governance, metadata, quality, lineage, etc.

Metadata Generator

  • A utility to generate business metadata to describe data assets.
  •  Automates the need to have human generated metadata and enables easier leverage of data for AI / LLM use cases.

Enterprise MCP Server

  • An Enterprise-ready Model Context Protocol (MCP) server to enable Agentic tools.
  • Pluggable with new and existing Enterprise APIs.

Agentic Bootstrap

  • Library of common Enterprise agents based on standard patterns and best practices.
  • Designed for quick deployment and easily extensible.
Expert AI Consultation

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