01
Data
Sources and events
Data & AI consulting
Modern Data & AI Solutions for the Enterprise
Netpeach helps organizations modernize their data platforms and unlock AI-driven insights using Databricks, Microsoft Azure, Fabric, Power BI, and intelligent data solutions.
02
Modern data platform
Governed lakehouse
03
Analytics
Trusted models
04
AI
Assistants and agents
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Business decisions
Actionable insight
What Netpeach does
Modernize the platform. Make the data usable. Prepare for AI.
We help organizations integrate data, build analytics solutions, and create the governed foundations required for AI-assisted decisions.
- Modernize data platforms on Databricks and Microsoft cloud services.
- Integrate operational and analytical data into trusted products.
- Build analytics that leadership and delivery teams can rely on.
- Prepare governed data for AI assistants, including Databricks Genie.
Core capabilities
The work we do across the data and AI stack
Focused services spanning engineering, analytics, and intelligent data solutions.
Databricks Data & AI
Lakehouse architecture, governed data products, and production-ready AI workloads on Databricks.
Microsoft Fabric
Unified analytics, OneLake alignment, and practical Fabric adoption for Microsoft-centric estates.
Azure Data Engineering
Reliable pipelines, integration, and cloud data platforms on Microsoft Azure.
Power BI & Analytics
Trusted semantic models, executive reporting, and analytics that teams can actually use.
AI & Databricks Genie
Prepare governed data for AI assistants and agents, including Databricks Genie, with clear business context.
Why Netpeach
Practical expertise, measured claims
We combine platform depth with delivery that stays tied to business outcomes.
Modern data platform expertise
We design lakehouse and cloud analytics foundations that can grow with the business.
Practical cloud modernization
Migration and platform work stays grounded in operating models, not just technology checklists.
Databricks and Microsoft ecosystem experience
We work across Databricks, Azure, Fabric, and Power BI so teams are not forced into a single-vendor pattern.
Data engineering + analytics + AI
Pipelines, models, and decision tools are treated as one system, not disconnected projects.
Solutions focused on business outcomes
Architecture choices are tied to trusted reporting, faster decisions, and usable AI—not novelty.
Technology platforms
Databricks and Microsoft, used with intent
We help teams choose and operate the right combination for their estate—not a copy of a vendor homepage.
Databricks
Lakehouse, governance, and data intelligence.
Microsoft Azure
Cloud data engineering and platform modernization.
Microsoft Fabric
Unified analytics across the Microsoft estate.
Power BI
Enterprise reporting and semantic models.
AI
Assistants, agents, and intelligent data products.
AI / Genie
From Data to Intelligent Answers
Modern data platforms can make trusted organizational data available to AI assistants and agents, including Databricks Genie. The value depends on governance, quality, and well-defined business context—not on treating AI as a shortcut.
A restrained example of how assistants can work with trusted organizational data.
Which product lines improved margin last quarter, and what changed in the pipeline?
Answers can be grounded in lakehouse tables, semantic models, and approved metrics—so teams get context, not an unsupported guess.
Databricks Genie and AI agents work best when the underlying data is governed and well-modeled.
Ready to modernize your data platform?
Talk through your current estate, priorities, and the most useful next step.