StatementCareGenerative and agentic AI delivered as working systems: retrieval over your documents, assistants inside the tools your teams already use, and automation of the repetitive work that slows operations down.
Private deployments, tenant isolation, and no training on client data.
Measured accuracy on your real cases before anything reaches staff or customers.
Approval steps and audit trails wherever an agent takes an action.
Model routing, caching, and budgets so spend stays predictable.
Works inside ticketing, CRM, ERP, and chat rather than beside them.
Monitoring, drift checks, and prompt and model updates handled for you.
Score candidate workflows by volume, risk, and data readiness; pick two to prove.
Connect sources, set permissions, and define what the system may never do.
Ship a pilot to a small group with measured accuracy and time saved.
Roll out across teams with monitoring, feedback loops, and cost tracking.
TransGlobal Freight replaced 4 brittle legacy dispatch software applications with a custom unified Next.js, Node.js, and PostgreSQL platform with automated route optimization.
We choose per workload. Most engagements route between a frontier model for reasoning and a smaller model for high-volume tasks, with the option to run inside your own cloud tenancy.
Answers are grounded in retrieved documents with citations, evaluated against a test set built from your real questions, and constrained by guardrails that refuse when confidence is low.
Yes, within scoped permissions and with approval steps for anything irreversible. Every action is logged with the reasoning that led to it.
It stays inside your tenancy or ours under contract, is never used to train shared models, and is deleted on request.