CT Labs builds AI and agentic proof-of-concept projects tied to a single workflow and measurable outcomes. Each engagement includes evaluation, integration planning, and a delivery path into AI buildouts and AI production rollouts.
A proof of concept is a focused build that validates a workflow in a real environment and produces decision-grade results.
Workflow definition and acceptance criteria aligned to measurable outcomes.
Data sample and integration plan for real environment validation.
Model approach and multi-model consulting guidance when routing matters.
Evaluation plan and baseline measurement for quality tracking.
Prototype delivery with a clear demonstration path.
Recommendations for buildouts and deployment next steps.
An agentic proof of concept fits workflows that require multi-step execution and tool use.
Share the workflow, data sources, and desired outcomes. CT Labs replies with a proof-of-concept scope and success metrics.
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