Frequently Asked Questions
Get quick answers to the most common questions about deployment, data security, and pricing for our AI Agents.
Our typical deployment timeline for a proven use case (e.g., Churn Risk) is 4-6 weeks, not months. This speed is achieved because our Agents use pre-built logic and focus only on connecting to your data systems and fine-tuning the model.
No. Our base models are pre-trained on public data. When deployed, the Agent is fine-tuned exclusively on your proprietary data, which remains segregated, encrypted, and owned entirely by you. We strictly adhere to data governance policies.
The technical lift is minimal. We primarily require access to data APIs (e.g., CRM/ERP/Data Warehouse) for initial data pipeline setup. Our MLOps team manages all ongoing infrastructure, maintenance, and monitoring.
While we cannot guarantee financial outcomes, our contracts are tied to achieving measurable lifts (e.g., 10-15% reduction in churn). We establish clear success metrics during the discovery session and continually optimize the Agent until those metrics are met.
You can request a demo by using the "Request a Demo" button or, for a more tailored experience, book an "AI Discovery Session" to discuss specific metrics and receive a custom deployment roadmap.