Listen to contractors.
We start from real paperwork: spec books, drawing sets, vendor quotes and paper timesheets from working crews. If a feature does not match how the job is actually run, we change the feature.
About Chantro
We believe contractors deserve tools as smart as the work they do.
01Our mission
Construction is one of the oldest industries in the world. Plenty of contractors still run big operations on spreadsheets, phone calls and what the crew remembers.
Chantro is our answer: an AI operating system built for contractors. It is not adapted from enterprise software, and it is not a generic project tool with a construction skin. Every feature is designed around how contractors estimate, sell, run and improve their work.
02Why we started
We saw a gap. The software available to contractors was one of three things.
Enterprise platforms assume an IT department and a long rollout before anyone sees value. Contractors want to be working in it, not configuring it.
A general project tool does not know what a spec section, a take-off or a sub bid is, so the contractor does the translating.
One system for estimates, another for tracking, a spreadsheet for budgets and a filing cabinet for lessons. None of them talk to each other, and none of them learn from the last job.
Chantro puts preconstruction, field work and the numbers in one system, so what happens on each job feeds the next estimate.
03How we build
We start from real paperwork: spec books, drawing sets, vendor quotes and paper timesheets from working crews. If a feature does not match how the job is actually run, we change the feature.
Chantro grows in small, finished steps that contractors can use right away, rather than in one big launch that arrives late.
AI should take over the data entry and the re-keying, not the judgment. It shows its sources where it has them, asks before the big changes, and learns only from your own company's history.
How the AI works04The team
Chief Executive Officer
A WVU civil engineer and Marine Corps veteran who founded Kruse Inc. after leading teams in construction, energy and law enforcement.
Chief Technology Officer
Professor of Computer Science at Rowan University, formerly at Caltech/NASA JPL, with over 90 peer-reviewed papers in machine learning.
The engineers who built the platform from the ground up.
Lead Software Engineer
Shapes Chantro's architecture and engineering direction, and builds its production systems.
Lead LLM Engineer
Shapes Chantro's AI architecture and builds reliable systems on large language models and the cloud.
Software Engineer
Builds across the frontend and backend, including Chantro's billing and payment workflows.
Book a demo and we will walk through Chantro with you, or create an account and look around.
Chantro is made by SmartTech ProServe LLC in Downingtown, Pennsylvania.