Modern Data Services
TRUSTED BY LEADING COMPANIES
From Strategy to Scale. We Own the Entire Data Foundation.
Whether you're modernizing a legacy warehouse, building real-time pipelines, or scaling analytics across the organization, every engagement starts with a single principle: data you can trust. We design governance that enables speed, build platforms that grow with your needs, and deliver insights that actually drive decisions—because generic data services miss the point.
Data Strategy & Governance →
Most data initiatives fail before a single pipeline is built because nobody agreed on what the data should mean, who owns it, or how decisions get made. We build the strategy and governance model your platform actually needs to scale.
Data Platform Modernization →
Your existing data platform wasn't built for what your business needs today. We modernize legacy warehouses, migrate to cloud-native lakehouse architectures, and consolidate fragmented systems into a foundation your teams can trust.
Real-Time Data Systems →
Batch processing tells you what happened yesterday. We build streaming architectures with Kafka and Confluent that give your business real-time visibility so decisions get made on current data, not stale reports.
Data Integration & Engineering →
Data that lives in 15 different systems isn't usable data. We design and build the integration layer that connects your sources, transforms your data, and keeps it moving reliably from origin to destination.
Business Intelligence & Analytics →
Dashboards nobody believes aren't dashboards, they're noise. We build governed BI platforms and semantic layers that give every team a single version of the truth they can actually act on.
Trust Starts with High-Fidelity Engineering.
You can't run a business on "mostly accurate" data. As the 2025 Confluent Enablement Partner of the Year, we bring the most certified data streaming team in the Americas to solve your most complex scale problems. We build the foundation; you make the decisions.
Most Organizations Have More Data Than Insight.
Not because the data isn't there, but because the foundation beneath it isn't ready. Fragile pipelines, inconsistent definitions, siloed systems, and dashboards nobody fully trusts are symptoms of a maturity problem, not a technology problem. We meet you where you are and build toward where the business needs to go.
WHERE MOST TEAMS START
1. Data Chaos
Siloed systems, inconsistent definitions, no single source of truth.
WHERE MOST TEAMS GET STUCK
2. Data Consolidation
Centralized but fragile; pipelines break and trust is low.
WHAT WE BUILD TOGETHER
3. Data Reliability
Pipelines are stable, governance is in place, and teams start to trust the numbers.
WHERE YOU'RE HEADED
4. Data Intelligence
Analytics trusted across the org, AI-ready foundation firmly in place.
WHERE YOU END UP
5. Data as a Product
Data drives decisions at every level; a competitive advantage, not just infrastructure.
The Symptoms are Familiar. The Root Cause Usually Isn't.
Most data problems that look like technology problems are actually architecture, governance, or trust problems. We've seen every version of this and we know how to diagnose it before we recommend a solution.
"Our reports say different things depending on which system you pull from."
"We have a data warehouse but nobody trusts the numbers in it."
"We're not ready for AI, we know it, but we don't know what ready looks like."
"Our pipelines work until they don't, and when they break we don't know why."
We Build Toward Trustworthy Data, One Stage at a Time.
Every engagement starts with an honest assessment of where your data foundation stands. Then we build the right thing for the right stage. Not the most sophisticated thing, and not the cheapest thing.
Lakehouse architecture, cloud migration, and platform consolidation that gives your data somewhere reliable to live.
Real-time streaming and integration architecture that moves data where it needs to go, without breaking.
BI platforms, governed analytics, and AI-ready data models that give teams a single version of the truth.
The deeper your data foundation, the more your AI can do. Most AI initiatives stall here — we make sure yours doesn't.
The Right Partner at Every Stage of Your Data Journey.
We work with the platforms your enterprise already runs on and we've earned formal recognition from the ones where our depth is deepest. Here's how our ecosystem works together across a full data engagement.
Assessing Your Data Foundation
Before a single pipeline is built
Every data engagement starts with understanding where you actually are — not where you think you are. Our strategy-phase partners help us assess your current platform, identify gaps, and align on what the right architecture looks like for your specific scale and goals.
Where does your data live, and how trustworthy is it?
Which cloud platform is right for your data workloads?
What does a realistic 90-day data roadmap look like?
Microsoft
AWS
Google Cloud
Data Maturity Assessment
Platform Selection
Cloud Strategy
90-Day Roadmap
Google Cloud Partner of the Year — validated expertise in cloud data strategy and platform architecture
Designing Your Data Platform
The work most teams skip — and regret
Architecture decisions made here determine everything downstream. Our platform-phase partners help us design lakehouse architectures, cloud-native data platforms, and governance frameworks that scale with your business — not just your current data volume.
Lakehouse, warehouse, or hybrid — what's right for your workloads?
How do you govern data across teams without slowing them down?
What does an AI-ready data model actually look like at your scale?
Snowflake
Databricks
Google Cloud
Lakehouse Design
Data Architecture
Governance Model
Data Catalog
Databricks Elite Partner — recognized for deep expertise in lakehouse architecture and unified analytics
Building and Engineering Your Pipelines
Where architecture becomes data in motion
This is where we build — streaming pipelines, batch processing, integrations, and the real-time data infrastructure that ties everything together. Our engineering-phase partners give us the tools to move data reliably at enterprise scale, from any source to any destination.
How do you connect data from 20+ source systems without fragility?
What does real-time data availability actually require at your scale?
How do you build pipelines that fail gracefully and recover fast?
Confluent
AWS
Databricks
Streaming Pipelines
ELT/ETL Architecture
Integration Layer
Data Observability
Confluent 2025 Enablement Partner of the Year — the most certified data streaming engineers in the Americas
Activating Data For Analytics and AI
Where data becomes decisions
Getting data into a platform is only half the job. This stage is where we activate it — building the BI layer, AI-powered analytics, and governed data models that give your teams a single version of the truth they can actually trust and act on.
How do you give every team self-service analytics without losing governance?
What does an AI-powered analytics layer look like on top of your data platform?
How do you build dashboards your leadership team will actually trust?
Snowflake
Databricks
Google Cloud
Microsoft
BI Platform
Semantic Layer
AI Analytics Model
Executive Dashboard
Snowflake SnowPro Core Certified — validated expertise in cloud data warehousing and analytics activation
Optimizing and Scaling Your Data Platform
The work that compounds over time
Once your data platform is live, the best organizations don't stop there. We use optimization-phase partners to monitor data quality, reduce cloud spend, tune performance, and evolve the platform as your data volume and business needs change.
How do you maintain data quality as source systems change over time?
Where is your cloud data spend going — and what can you responsibly cut?
What does the next 12 months of platform evolution look like?
Google Cloud
Databricks
Snowflake
Data Quality Monitoring
Cost Optimization
Performance Tuning
Platform Roadmap
Google Cloud Partner of the Year — recognized for sustained excellence in platform optimization and cloud-native delivery
Data That Reaches Production - And Stays Reliable
Modern Real-Time Data Pipelines for Medical Device Manufacturing.
Medtronic relied on manual entry and paper whiteboards to track production metrics. Improving implemented Kafka and Confluent to capture live IoT and MES data, enabling predictive maintenance and real-time production visibility.
> "This had a profound impact in shaping Medtronic's ability to seamlessly scale their manufacturing of life-changing medical devices while maintaining the highest level of quality."
Expert Insights on Data
Ready to Build a Data Foundation Your Business Can Trust?
Tell us where you are and we'll tell you exactly how we can help. No generic proposals, no sales pitch, just a direct conversation about your data situation.
Nick Larson
VP of Technology
Rich McCraw
VP of Technology
Preston Mesarvey
Technical Director