Solution Accelerators

Data to Intelligence Is a Journey that Neoware Orchestrates

We enable this journey with our consulting, data engineering,  AI/ML, Gen AI and BI capabilities. In each of these service lines, we have built tools and methodologies (solution accelerators) that embed best practices, provide reference points and speed up the implementation journey.

Readiness Assessment Tool for AI Maturity

10 minutes, 20 questions to assess your readiness for AI maturity across data, technology, organization, security, and business value. Get a free, actionable report to transform your data strategy with confidence.

Readiness Assessment Tool for AI Maturity

Readiness Assessment Tool for AI Maturity

AWS Data-Driven Everything (D2E) Methodology

Neoware is one of the select few global AWS Data-Driven Everything (D2E) program which can help assess, prioritize, and scope use cases for Gen AI implementation to go from pilots to real world use by your employees and customers.

AWS Data-Driven Everything (D2E) Methodology

AWS Data-Driven Everything (D2E) Methodology

Neoware and AWS D2E Approach

Our approach drives continuous improvement through its data-driven "Data Flywheel" methodology that promotes continuous improvement through iterative discovery and implementation. The process begins with discovering insights across five key dimensions: organization, technology, data, security, and business value/use cases.

We identify specific use cases, establish business requirements and value indicators, implement, monitor and measure for continuous improvement. This iterative process not only ensures measurable progress but also mitigates risks and minimizes upfront investments while delivering consistent business value incrementally.

Neoware and AWS D2E Approach

Neoware and AWS D2E Approach

Data Platform Reference Architecture

Based on a set of guiding principles for a modern cloud-based data ecosystem our Data Platform Reference Architecture is a reference point and benchmark for data platform design and engineering. The reference architecture includes overlays for AWS, Microsoft, and GCP, incorporating appropriate deployment considerations and is refreshed continously with experience and technology developments.

Data Platform Reference Architecture

Data Platform Reference Architecture

Data Validation and Reconciliation (DVRC)

The DVRC tool enhances data integrity by validating and reconciling data across various sources. This ensures that your analytics are based on accurate and consistent information, which is crucial for informed decision-making.

Data Validation and Reconciliation (DVRC)

Data Engineering Toolkit

Data Engineering Toolkit

A collection of pre-built tools, utilities, and accelerators designed for implementing data engineering solutions.

  • Ingestion Utility
  • DAG-Factory Accelerator
  • Crawler for GCP
  • NeoLoader
  • Code Generator for AWS Glue

Data Engineering Toolkit

Data Engineering Toolkit

Database Migration Toolkit

To accelerate data migration by providing reliable data definition conversion and automated scripts for the migration process.

  • Data Definition
  • SQL Migration
  • Data Migration
  • Process Migration

Database Migration Toolkit

Database Migration Toolkit

Integration Toolkit

A proprietary solution that enables configuration-driven data transformation and integrates data between enterprise applications that support REST, SOAP, and SFTP protocols or communicate through flat files.

Integration Toolkit

Integration Toolkit

AskNeo

Award winner at the Snowflake Arctic + Streamlit AI Hackathon, AskNeo is a conversational AI interface designed to empower users in interacting with their reports intuitively. Users can ask questions and receive real-time insights, enabling data-driven decisions by enhancing existing BI systems.

AskNeo

Ask Neo

AskNeo

Award winner at the Snowflake AI Hackathon, AskNeo is the enterprise intelligence front door that converges conversational AI, BI reports, self-service analytics, business glossary, metadata, and data quality into a single interface. Ask a question in plain natural language and AskNeo surfaces the right insight pointing to the exact report visual, generating traceable SQL, adhering to role-based access controls, so that users can make confident, data-driven decisions with a clear view of metadata & lineage and data quality.

AskNeo

AskNeo

Integration Studio

Integration Studio is Neoware’s LLM-powered enterprise integration platform that seamlessly connects ERP, CRM, vendor management, HR, and expense systems through a library of pre-built business templates and protocol-level connectors. Where other tools stop at technical connectivity, Integration Studio goes further — embedding deep business content so that mapping, configuration, and maintenance can be handled by business analysts, not just engineers. With out-of-the-box audit dashboards tracking every integration run, success rate, and failure point, enterprises get both the agility to integrate fast and the visibility to operate with confidence.

Integration Studio

Integration Studio

CodeX

Codex is Neoware’s Gen AI-powered data engineering accelerator that replaces traditional code construction with prompt-driven pipeline generation, shifting the SDLC from Design-Construct to Design-Generate. Available for Azure Data Factory, Databricks, and generic PySpark, Codex enables data engineers to generate fully functional data engineering and transformation pipelines through configuration and natural language prompts, with simple tasks achieving up to 90% automation. The result: dramatically faster data engineering delivery across bronze, silver, and gold layers with less manual coding, greater consistency, and more time spent on high-value customization.

CodeX

CodeX

Doc Intelligence

Doc Intelligence is Neoware’s AI-powered platform that turns your document repository -contracts, reports, policies, agreements into a dynamic, conversational knowledge base you can query in natural language. Ask a question and get a precise, cited answer linked to the exact clause or passage in the source document, without the risk of AI hallucination. With built-in semantic search, automated summarization, contract compliance scoring, and multi-document analysis, it empowers every team – legal, finance, operations to extract the intelligence they need in seconds, not days.

Doc Intelligence

Doc Intelligence

AWS Data-Driven Everything (D2E) Methodology

Neoware is one of the select few global AWS Data-Driven Everything (D2E) program which can help assess, prioritize, and scope use cases for Gen AI implementation to go from pilots to real world use by your employees and customers.

AWS Data-Driven Everything (D2E) Methodology

AWS Data-Driven Everything (D2E) Methodology

Neoware and AWS D2E Approach

Our approach drives continuous improvement through its data-driven “Data Flywheel” methodology that promotes continuous improvement through iterative discovery and implementation. The process begins with discovering insights across five key dimensions: organization, technology, data, security, and business value/use cases.

We identify specific use cases, establish business requirements and value indicators, implement, monitor and measure for continuous improvement. This iterative process not only ensures measurable progress but also mitigates risks and minimizes upfront investments while delivering consistent business value incrementally.

Neoware and AWS D2E Approach

Neoware and AWS D2E Approach

Data Platform Reference Architecture

Based on a set of guiding principles for a modern cloud-based data ecosystem our Data Platform Reference Architecture is a reference point and benchmark for data platform design and engineering. The reference architecture includes overlays for AWS, Microsoft, and GCP, incorporating appropriate deployment considerations and is refreshed continously with experience and technology developments.

Data Platform Reference Architecture

Data Platform Reference Architecture

Data Validation and Reconciliation (DVRC)

The DVRC tool enhances data integrity by validating and reconciling data across various sources. This ensures that your analytics are based on accurate and consistent information, which is crucial for informed decision-making.

Data Validation and Reconciliation (DVRC)

Data Validation and Reconciliation (DVRC)

Data Engineering Toolkit

A collection of pre-built tools, utilities, and accelerators designed for implementing data engineering solutions.

  • Ingestion Utility
  • DAG-Factory Accelerator
  • Crawler for GCP
  • NeoLoader
  • Code Generator for AWS Glue

Data Engineering Toolkit

Data Engineering Toolkit

Database Migration Toolkit

To accelerate data migration by providing reliable data definition conversion and automated scripts for the migration process.

  • Data Definition
  • SQL Migration
  • Data Migration
  • Process Migration

Database Migration Toolkit

Database Migration Toolkit
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