Is GeoTech ONE a ready-made product or custom software?
Both. We start from a proven operating platform, then tailor the data model, workflows, language, permissions, views, and integrations to your organisation. You avoid a blank-sheet build without accepting a generic fit.
Does it replace our existing systems?
It can replace fragmented tools where that creates value, or connect to systems that should remain authoritative. The engagement begins by deciding what belongs inside the live model and what should stay connected to it.
Can it match a niche industry workflow?
That is the point. Stages, fields, relationships, dashboards, terminology, and automation are shaped around the real work instead of forcing the organisation into generic CRM language.
How do AI agents access the platform?
Through documented HTTP and MCP interfaces using scoped, revocable credentials. The public API reference, OpenAPI specification, MCP manifest, and agent index are available from Resources and the footer.
Where is the platform deployed?
GeoTech ONE runs on Google Cloud and Firebase in a dedicated environment per organisation. The exact deployment and access model is agreed during the engagement.
How does an engagement begin?
With a walkthrough and a focused modelling conversation: the decisions you need to make, the workflows that produce them, and the systems where the necessary signals live today.