Machine learning and automation solutions that turn data into decisions. From model development through production deployment and monitoring.
Custom model development, fine-tuning, and production deployment with the infrastructure to keep models accurate over time.
Lineage-tracked, reliable pipelines that move and transform data without the fragility of legacy ETL.
Forecasting, anomaly detection, and classification systems built around your actual business metrics.
Automating repetitive, rules-based work across systems so your team focuses on what requires judgment.
EDI and API integration for transportation operations, with deep experience connecting common carrier and fuel retailer systems. Orders, dispatch, delivery records, billing, and fleet data working together.
Explore transportation integrationsIntegrated daily Great Plains accounting data and banking-provider pending-invoice data into a mid-market fuel carrier's existing data lake and data mart. Metabase now combines financial records with operating data for finance reporting, payables, billing-completeness curves, line-haul analysis, and revenue projections.
TCEQ delivery certificates commonly expire at month-end, turning 5,500+ Texas stores into a last-day compliance fire drill. We connected the Texas Open Data Portal to Gravitate so every site's delivery-certificate date updates nightly. One refresh surfaced 100 expired tanks before the next day's deliveries, avoiding up to $1M in potential fine exposure in a single day.
A mid-market fuel carrier processes roughly 1,200 TMW invoices a day. We automated its safest, most repetitive invoice types so 200+ now process touchless, while exceptions stay with the team and coverage expands release by release.
Connected a mid-market fuel carrier's Gravitate dispatch platform to the TMSs its 5,000+ c-store customers run, using Manifold, our TMS integration platform. Customers see live load status, cost, and ETAs in their own systems, place orders that land in Gravitate, and get a DTN-sourced digital BOL for every load.
Consolidated six systems (DTN, Gravitate, Samsara, Bestpass, TMW, Google) into one data platform for the same mid-market fuel carrier. Dashboards track tank outages across 5,000+ sites, hold toll spend to policy and reclaim $200K+ a year, score every delivery window by GPS geofence, and keep driver hours honest.
This practice covers the machine learning and data side: pipelines, predictive models, and classic process automation. Agentic AI covers systems that act on their own decisions. Real programs usually draw on both, and the same team builds both.
Lineage tracking, tested transformations, and reliability engineering. The goal is joins your team trusts enough to make decisions on, which is the difference between a warehouse and a liability.
Yes. We build on your existing warehouse and BI tooling where it holds up. One current platform runs on S3, Glue, Athena, dbt, and Metabase, unifying six source systems for a fuel carrier's daily operations.
Eval baselines before launch, monitoring in production, and the retraining infrastructure to correct drift. A model without monitoring is a guess with a dashboard.
Tell us what you're working on. We reply within one business day, usually from the engineer who'd run the engagement.