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We combine outcome-based AI-Native execution pipelines with our battle-tested Data & Analytics (D&A) foundation to solve complex operational challenges for global industry leaders.
We replace expensive, slow manual service firms with automated AI-native delivery pipelines. We sell the completed, audited unit—never billable hours.
Autonomous 3-way matching between POs, receiving slips, and messy vendor invoices. Automatically resolves price variances, freight surcharges, and tax discrepancies using custom rulebooks.
Ingests heterogeneous vendor spec sheets, CAD files, and technical brochures to extract, harmonize, and validate product attributes across digital catalogs and PIM systems.
Evaluates customer claims, repair notes, diagnostic telemetry, and photos against warranty coverage rules. Flags suspected fraud, auto-approves clean claims, and accelerates RMA cycles.
Assigns accurate Harmonized Tariff Schedule (HTS) codes and cross-checks import documentation against international trade regulations, preventing costly port delays and fines.
Prepares, cross-verifies, and formats mandatory compliance dossiers for environmental, chemical, and building product safety certifications with deterministic rule checking.
Have a unique operational bottleneck where your team spends thousands of hours checking documents? Our forward-deployed AI engineers codify your rulebook and build a dedicated pipeline.
The foundation of all intelligent enterprise automation. We engineer modern data architectures, ensure data quality, and deliver executive transparency.
We establish authoritative enterprise data taxonomies, harmonize cross-system naming conventions, and certify datasets so your finance, supply chain, and operations teams work from the exact same truth.
Full lifecycle BI development: from semantic layer design to responsive Power BI, Tableau, and embedded web dashboards delivering actionable insights to C-suite and plant managers alike.
End-to-end Master Data Management for Customer, Product (PIM), and Vendor domains. We implement automated deduplication, survivorship rules, and real-time data hygiene monitors.
Strategic cloud data migration, data lakehouse implementations (Snowflake, Databricks), dbt data modeling, and predictive data science models for inventory optimization and demand forecasting.