AI Agents That Deliver Measurable Results in 30 Days

Every core system is delivered within a focused 7–14 day engineering sprint. We begin with a 15-minute technical feasibility audit to map your APIs and data schemas, followed by rapid staging deployment, integration testing, and production cutover.

We reject probabilistic prompt wrappers in favor of deterministic systems engineering. Core business logic and calculations run on hardened code, while LLM calls are strictly gated by Pydantic JSON schemas and grounded retrieval with mandatory page-and-clause citation anchors.

Yes, 100%. Upon sprint milestone completion, complete source code repositories, Docker configurations, Pydantic schemas, and runbooks are transferred to your organization. We retain zero proprietary backdoors and never lock clients into recurring software licenses.

Every production deployment includes a complimentary 30-day post-launch warranty covering runtime bug fixes, API contract regressions, and edge-case schema adjustments. Systems are built with explicit SLAs including sub-60s webhook execution, sub-1.8s retrieval latency, and 99.4% extraction accuracy.

Our clients typically achieve a 60–80% reduction in manual data-entry and coordination hours, cutting response times from hours to seconds and reaching positive capital payback within 30 to 60 days of deployment.