We build the systems, agents and analytics your AI pilots never became. For mid-sized companies, in weeks, not quarters.
What traditional software firms quoted one company for a company-wide data warehouse.
What we delivered, with AI-ready reporting on top.
Most mid-sized companies have tried AI. Few have it running inside the work. These are the places we get called in.
Each of these runs in production today, inside a multi-entity field services company we co-own. We use these systems ourselves, so we know what holds up.
Earlier attempts at true cost of goods failed because charges landed in the wrong accounts. We built agents that track timesheets and temp labor, fed them into one database, and gave every production leader a clear view of revenue against all production costs: direct labor, temp labor, management expense, supplies and tools.
One foundation for reporting and AI insights across the whole organization, built and running before a traditional project would have finished planning.
Agents watch the AP inbox, screen for fraudulent submissions, and route each bill to the right entity. They check that no other entity or payment type has already paid it, then prioritize payments by cash flow rules using invoicing and project progress from other systems.
Where software was closed or too old to connect, agents work alongside the team inside it. The work gets faster, and the data lands in the warehouse for end-to-end process reporting.
A complete platform covering client acquisition, production, accounting and finance, and operations including fleet, HR, buildings, equipment, IT and legal. We also built a tool that ties field notes, photos, video and scope to estimating, so revenue isn’t missed and nothing is billed without documentation.
Every engagement begins with a conversation about one problem.
A fixed-scope build in weeks: one process, one report or one agent, live and measured.
An end-to-end system across several processes, with the data foundation under it.
Ongoing improvement, new agents and support after launch, as your needs change.
Nstox is a network of analysts, developers and operators with years of hands-on delivery, assembled around each problem. Before AI, our work was putting data to work for growing companies. Now we put AI to work, on the same data.
We take on a limited number of projects, so we start with a few questions. Describe the process or system that’s costing you time or money, and we’ll tell you honestly whether we can help.