Turn Fragmented Software into a Unified Operating Engine.
Custom digital infrastructure, API data integrations, and practical AI automation engineered specifically for complex operational workflows across PNW manufacturing, contracting, and distribution.
Engineered Digital Infrastructure for High-Velocity Operations
We bridge the gap between legacy IT platforms and shop-floor or field reality—building clean, API-first software ecosystems that scale.
Unified ERP / CRM / DMS Ecosystems
Architectural design and vendor management to unify legacy databases into a synchronized, paperless ecosystem. We eliminate manual double-entry, redundant SaaS subscriptions, and departmental handoff defects.
Clean Data Schemas & Python Pipelines
Consolidating scattered spreadsheets, legacy SQL databases, and disconnected apps into unified data structures using custom Python API pipelines and clean cloud data warehouses.
RAG Models & Intelligent Lookup Tools
Deploying custom AI lookup tools and Retrieval-Augmented Generation (RAG) models to make complex technical manuals, estimating histories, vendor specs, and submittals instantly searchable by your office and field teams.
Visual Planning & Capacity Dashboards
Custom real-time dashboarding giving project managers, shop superintendents, and executive leadership immediate visibility into job profitability, field schedules, scrap rates, and labor capacity.
Practical AI Built on Validated Enterprise Data
Most AI initiatives fail because they attempt to automate chaotic, unstandardized data. Holding advanced credentials in IBM Applied AI and Google Data Analytics, we enforce data hygiene first—structuring your internal knowledge base before deploying targeted automation tools.
Execution Sprint Specifications
Targeted, project-based implementation sprints structured by operational complexity.
Fixed-scope project pricing. Clear milestones tied directly to system delivery and user adoption.
Automated admin workflows enabling existing teams to process twice the volume with zero added overhead.