Absolutely. InteractiveAI is model-agnostic: you can bring your own LLMs (including open-source or licensed models) and fine-tune them on your proprietary data. Your data never leaves your controlled environment, and you retain ownership of all custom model weights and outputs.

Yes – our platform was built with stringent compliance in mind. We support deployments in HIPAA-compliant environments, are SOC 2 certified, GDPR-ready, and allow on-prem or private cloud hosting. All data is encrypted, and you have full audit logs to satisfy any regulatory or internal security requirements. Companies in finance, healthcare, and other high-stakes sectors use InteractiveAI with confidence.

We offer a flexible, usage-based subscription. The platform is typically licensed per IDE seat and usage-based per resources. There’s no surprise overage – you’ll have a clear view of usage. For enterprise engagements, we also offer a Custom Implementation Package (our performance squad service) which is scoped based on your project’s needs. There are no lock-in penalties – you can export your models and data anytime. (Contact us for a tailored quote.)

InteractiveAI is engineered for board-level speed, but the exact timeline flexes with your internal capacity. If your team owns configuration and rollout, sprint cycles compress even further; if you prefer our performance squad to handle end-to-end delivery, we shoulder the workload while you track progress. Typical milestones we see when AI Agents are self deployed by the client internal teams:Sandbox prototype on live data: ≤ 10 business daysKPI baselines & compliance sign-off: Weeks 2 – 3Production launch in your VPC/on-prem stack: Weeks 5 – 10Audited ROI dashboard & next-use-case roadmap: 30 – 45 days post-launch