One view instead of many ghosts
NavAI unified ERP, POS, OMS, PLM and marketplace data into one conversational intelligence layer, helping a retail giant spot trends earlier and make faster merchandising decisions.

Halloween Special
Fix what’s lurking in your stack. Call a Data Exorcist.
Data scattered across systems is difficult to manage and even harder to trust. NavAI builds the pipelines, warehouses and lakehouses that bring it all together, giving your teams unified data for faster decisions and AI.
Talk to a Data EngineerTRUSTED BY
SOLVE DATA CHALLENGES
Every data environment has its monsters. Our reliable pipelines are built to find them, fix them and keep them from coming back, so you gain accuracy and ROI.
Optimize Data Processing
Data buried across legacy, cloud and on-prem systems is hard to find and harder to trust. Our experienced data engineering consultants unify it and handle all your data processes in one centralized place, for better performance.
Faster Analytics and Reporting
Most teams work from different numbers, which slows down reports and insights. We create automated real-time data pipelines, clean raw data and optimize storage so your teams reach decisions faster.
Strong AI and ML Foundations
Most AI projects struggle because the data isn't ready. We build clean, governed and reliable data warehouses and lakehouses that give AI models accurate, consistent information they can actually learn from.
Cost Optimization at Scale
Inefficient queries, oversized compute and poorly designed pipelines quietly drain your budget. We help you identify what's driving costs and redesign your platform to run more efficiently.
Data Governance and Regulatory Compliance
Governance and compliance aren't post-deployment add-ons. We build them into your data platform, with access controls, lineage and audit trails that help you meet regulatory requirements without slowing you down.
Build the pipelines, platforms and infrastructure your business needs to scale analytics and AI with confidence.
Talk to a Data ExpertOUR VALUE
From cleaning and migrating to storing and securing, our holistic services handle every monster hiding in your data environment.
Enterprise Data Transformation
Unstructured data in different formats breeds errors and inaccuracies. We connect enterprise applications, databases, APIs and external sources into one unified ecosystem, refining raw data step by step into governed, business-ready datasets.
Data Platform Modernization
Legacy bottlenecks make it tough to support AI and ML. Our data modernization builds scalable, secure, cloud-native platforms that support enterprise reporting, advanced analytics and AI.
Real-Time & Streaming Data Engineering
Static, outdated data makes agentic workflows and fresh insights impossible. We enable continuous, contextual data streams for modern AI models and replace slow, scheduled batch work with real-time insights for every team.
Data Quality, Observability & Reliability
Data across systems creates duplicates and errors that spoil business dashboards and reports. We improve the accuracy, consistency, completeness and reliability of enterprise data to meet regulatory and compliance requirements.
Data Governance, Catalog & Security
Data scattered across hybrid clouds and departments slows you down and complicates compliance. We make enterprise data discoverable, traceable, secure and governed throughout its lifecycle, with frameworks that establish accountability.
Business-Ready Semantic Engineering
When departments define the same metric differently, or AI is left to invent its own meanings, hallucinations rise. We turn messy data into standardized metrics with proper access controls.
Data Migration & Consolidation
Legacy systems hold unclean data in mismatched formats, creating scalability and performance issues. With our expert migration, move data across systems and platforms with minimal disruption and verified integrity.
DataOps & Engineering Automation
Manual data movement and opaque, ad-hoc stacks increase errors and hide visibility. We industrialize data delivery through automation, repeatable engineering practices and operational controls, for faster insights and traceable data origins.
AI-Ready Data Engineering
Semantic ambiguity and missing context make data unusable for AI. We engineer trusted, accessible data foundations for machine learning, generative AI and enterprise AI agents.
Data Engineering Talent On Demand
Scale your data engineering capacity on demand with NavAI's data scientists, analysts and experts, so your organization can keep up with modern AI models and accelerate decision making.
TECH WE USE
Our enterprise data engineering consulting spans modern cloud, data and integration platforms, helping you engineer scalable infrastructure for large-scale transformation.



Tell us where your data is getting stuck (or haunted) and we'll help you find the way out.
Talk to a Data ExpertOUR APPROACH
Our end-to-end data analytics engineering services follow a defined approach to build data environments that scale with your business.
Strategy & Discovery
We start by assessing your data challenges, business goals and existing architecture to define optimization roadmaps.
Roadmap Designing
We develop roadmaps focused on governance, compliance, and AI and ML readiness, customized to your future goals.
Implementation
Our data engineering consultants set up pipelines, lakehouses and warehouses for efficient data management.
Migration & Optimization
We migrate data in phases, with tests in place to minimize risk and maintain data quality as it moves to modern systems.
Quality & Governance
Validation checks, access controls and performance metrics strengthen data integrity, quality and accuracy, so trust is maintained at every step.
Maintenance & Support
Ongoing monitoring, troubleshooting and support keep your platform performing at its best, so your business stays scalable.
OUR DIFFERENTIATOR
Built for your data environment, however haunted
We work across cloud, on-prem and hybrid environments to build data systems around your existing technology and business needs.
We handle the whole haunting
From data integration and migration to pipelines, warehouses and lakehouses, our data engineering consultants handle the full data journey.
No cursed lock-in
Choose the platforms that fit your business. We work across leading cloud, data and analytics technologies without forcing you into one stack.
Built to scale, not to scare
Our solutions are designed to handle growing data volumes, new sources and changing business requirements without unnecessary complexity.
Case Studies
Frequently asked questions
Yes, our data engineering services can integrate data from databases, REST APIs, cloud applications, legacy systems, and other enterprise sources. We design pipelines that collect, transform, validate, and deliver data into your warehouse, lakehouse, or other environments. This creates a powerful data foundation without replacing your existing systems.
Yes, you can hire data engineers from NavAI as an extension of our data engineering solutions. We provide data engineers and specialists based on your project requirements, tech stack, and delivery model. This gives you access to data engineering expertise without the cost of hiring and managing an entire in-house team.
We focus on data governance and compliance from the very beginning. This can include access controls, data validation, lineage, metadata management, audit trails, security policies, and monitoring. We align these controls with your requirements and applicable regulations so that data remains secure, traceable, and reliable throughout its lifecycle.
The timeline depends on the size and complexity of your data environment, but most projects begin with a discovery and architecture assessment. We evaluate your sources, infrastructure, migration needs, data quality, and business requirements before developing an implementation roadmap. This means timelines are based on your actual scope.
Yes, we provide post-deployment support and maintenance to keep your data environment agile as your business and data volumes grow. Our support includes monitoring, troubleshooting, performance optimization, pipeline maintenance, data quality checks, security updates, and ongoing enhancements. We continue supporting the environment after implementation or work alongside your internal data team.
ETL (Extract, Transform, Load) transforms data on an external server before loading it, while ELT (Extract, Load, Transform) loads raw data first and transforms it within the data warehouse. ETL suits legacy environments and specific processing requirements, while ELT works well with modern cloud warehouses and lakehouses. Our ETL consulting services help you choose the right approach based on your data, architecture, security, and scale.
From pipelines and migration to warehouses and AI-ready infrastructure, NavAI helps you build data systems that work for your business today and keep working long after Halloween.
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