Full stack data work. We build new, fix broken, and add on to what's already there. Any starting point works. You're hiring people, not licensing software.
Austin and San Antonio. Remote across Texas.
We build AI into the data layer: reporting pipelines that generate their own narratives, autonomous agent networks that run without a human in the middle, and intelligent integrations for stacks you already have. Deployed in production. Provider-agnostic.
Explore AI services →Power BI, Looker, Tableau. We build reporting your team will check every day, not a dashboard someone opens once and forgets. KPIs, executive views, operational reports, scoped to what your business actually needs to see.
Work with us →Reliable data starts with solid plumbing. From Salesforce, SAP, or whatever you're using into Snowflake, BigQuery, and Azure. We work with all major platforms.
Work with us →Cohort analysis, customer segmentation, price elasticity modeling, A/B testing. We build the models and run the analysis. You get something you can use to make a call, not just a chart to screenshot for a slide deck.
Work with us →Budget decisions without clean attribution are expensive guesses. We build the measurement layer across paid, organic, and owned channels: GA4 setup, attribution modeling that reflects how customers actually convert, and performance tracking beyond rank. You stop guessing and start making the call.
Work with us →Fixed price, two weeks. We go through your reporting, pipelines, tooling spend, and manual processes, then hand you a roadmap of what's worth building and in what order.
Scoped projects with a defined finish line: dashboards, warehouse builds, attribution models, agent pipelines.
Fractional senior data help on a monthly retainer: a data analyst, a data engineer, or both, a message away without the full-time hire. The roadmap stands on its own either way.
Code, dashboards, documentation, credentials. If we vanish tomorrow, your system keeps running.
We'll tell you how we can help. We reply within one business day.
Two senior data careers behind every recommendation. You'd work with Wes Mills and Stephen Nesloney.
Salesforce, HubSpot, Zoho CRM, Pipedrive, Microsoft Dynamics 365
SAP, Oracle NetSuite, Microsoft Dynamics, Sage, Workday, QuickBooks
Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse, Databricks
Power BI, Tableau, Looker, Looker Studio, Domo, Qlik, MicroStrategy
Google Analytics 4, Google Ads, Meta Ads, Amazon Ads, Salesforce Marketing Cloud, HubSpot Marketing, Marketo, Mailchimp, Klaviyo, ActiveCampaign, Constant Contact, Google Tag Manager, Google Search Console, Semrush, Ahrefs, LinkedIn Ads, TikTok Ads
Fivetran, dbt, Airbyte, Talend, Informatica, Apache Airflow
AWS, Google Cloud, Microsoft Azure
PostgreSQL, MySQL, MongoDB, SQL Server, Oracle Database
Python, R, SQL, Apache Spark, Alteryx, SAS, Excel, Google Sheets
Zapier, Make, MuleSoft, Power Automate
Segment, Amplitude, Mixpanel, Hotjar, Optimizely
OpenAI, Claude, TensorFlow
Shopify, Stripe, Zendesk
Good. Most of the interesting work doesn't fit a clean category. Tell us what you're dealing with.
Work With UsTypical response within 1 business day.