01
Data lives in too many systems.
CRM, ERP, SaaS tools, spreadsheets, databases. Every team has their own source of truth and nobody agrees on the numbers.
Data Platform Integration
Data platform integration.
Get your business data ready for AI.Enterprise data lives in too many systems. We build the pipelines, connections, and data layers that make it usable — for analytics, AI, and the teams that need answers.
NMSDC MBE Certified
U.S.-Based
Cloud & On-Prem
AI-Ready Data
01 · The data problem
Why your data isn’t working for you.
02
AI can’t access your data.
Your data is locked in proprietary formats, siloed databases, and systems without APIs. AI tools and analytics can’t reach it.
03
Reports take days instead of minutes.
Someone manually pulls data from 3 systems, cleans it in a spreadsheet, and sends it. By the time it arrives, it’s already outdated.
04
Nobody trusts the data.
Different systems show different numbers. Nobody knows which is right. Decisions get delayed because the data doesn’t add up.
02 · What we build
Data made usable.
Warehouse integration, data pipelines, analytics enablement, and AI-ready data access.
Data warehouse integration
Connect data sources to Snowflake, BigQuery, Redshift, or your existing warehouse. One source of truth for the entire organization.
Discuss this →Data pipeline development
Real-time and batch pipelines that deliver clean, validated, transformed data where it needs to go — automatically.
Discuss this →Analytics enablement
Feed clean data into Power BI, Tableau, Looker, or custom dashboards so teams get answers without waiting for engineering.
Discuss this →AI-ready data access
Structure and expose enterprise data so AI tools, agents, and models can access it through clean APIs and standard formats.
Discuss this →Data quality and governance
Validation rules, quality monitoring, lineage tracking, and access controls so you can trust the data flowing through your systems.
Discuss this →Real-time data streaming
Event-driven data pipelines for use cases that need data in seconds, not hours — operational dashboards, fraud detection, live AI inference.
Discuss this →03 · How we work
From data mapping to production pipeline.
01
Discovery
We map your data sources, consumers, and quality issues.
→ Data landscape mapped
02
Design
We design the pipeline architecture, schema, and validation rules.
→ Architecture designed
03
Build
We build the pipelines, connect the sources, and validate the data.
→ Pipelines running
04
Support
Ongoing monitoring, alerting, and optimization to keep data flowing.
→ Data platform live
05 · Common questions
Frequently asked questions.
What data platforms do you support?
Snowflake, BigQuery, Redshift, Azure Synapse, Databricks, and on-prem SQL databases. We also connect to CRM, ERP, and SaaS sources like Salesforce, HubSpot, and NetSuite.
Can you make our data AI-ready?
Yes. We structure and expose data through clean APIs and standard formats so AI tools, agents, and models can access it. This includes data cataloging, quality validation, and access controls.
How long does a data integration project take?
A focused data pipeline project typically takes 4–8 weeks. A full data platform build with warehouse, pipelines, and analytics takes 8–14 weeks. We scope clearly before any work begins.
Can you work with our existing data tools?
Yes. We work with whatever tools your team already uses — dbt, Airflow, Fivetran, Informatica, Talend, and custom solutions. We don’t require rip-and-replace.
Do you handle data migration?
Yes. We migrate data between platforms with full validation, transformation, and reconciliation. Nothing goes live until the data matches.
What about data security and compliance?
We build access controls, encryption, audit logging, and compliance frameworks into every data platform. We’re experienced with HIPAA, SOC 2, and government data handling requirements.
Get Started
Unify your data.
Start with a data review.
Tell us what data needs to move and we’ll map the sources, design the pipeline, and build it.
Contact info@evolveblue.com · +1 215-882-3133