Custom AI Agent Development, Engineered for Scale

We default to the most restrictive data setup that still gets the job done. For most clients, that means data is processed in transit only, never used for model training, and retained only as long as your policy requires. For regulated industries or sensitive workloads, we deploy fully self-hosted, so your data never leaves your infrastructure. We sign DPAs and align with your existing security and compliance posture before kickoff.

Every agent we build has confidence thresholds, fallback paths, and human handoff baked in from day one. If the agent is uncertain, the conversation routes to a human in milliseconds. We monitor every interaction post-launch: flagged calls, low-confidence responses, and edge cases get reviewed weekly so the agent improves continuously instead of failing silently.

Most agents go live in 4–8 weeks, depending on integration complexity and the scope of the workflow. Voice agents on greenfield setups can ship faster; agents that need to integrate with legacy systems or pass compliance review take longer. We give you a fixed timeline at the end of the discovery phase, not a moving target.

If the work follows fixed rules, when an order arrives extract it and file it, you want AI automation: simpler, faster to ship, and easier to verify. An agent earns its complexity when the workflow needs decisions within guardrails: planning steps, adapting to what it finds, choosing when to escalate. Describe the workflow to us and we will tell you honestly which one fits.

Yes. We've built integrations across Salesforce, HubSpot, Zendesk, Intercom, Twilio, Gmail, Outlook, Slack, and most major CRMs and helpdesks. If your stack has an API, we connect to it. If it doesn't, we build the connector. Integration scope is locked in during discovery so there are no surprises mid-build.

Yes, this is one of the things we specialize in. We deploy on your AWS, GCP, Azure, or on-prem infrastructure using open-source LLMs, self-hosted voice stacks (Asterisk, SIP), and private RAG systems. Your data never touches a third-party AI provider. This is the right setup for healthcare, finance, defense, and any business that can't send customer data to OpenAI.

Engagements typically include a fixed-scope build fee plus a monthly retainer for ongoing optimization, monitoring, and improvements. Pricing depends on agent complexity, integration scope, and whether you're self-hosted. We share concrete numbers on the discovery call once we understand the scope, with no hidden infrastructure costs and no surprise overages.