At Genie, we build production‑ready AI agents that create measurable business value. From early‑stage concepts to production‑ready systems, we help teams move with speed, clarity, and purpose. We've shipped agents that interpret complex biomarkers into plain‑language guidance, turned 100–200 page oncology reports into cited answers you can trust, and replaced dense geospatial dashboards with conversational satellite intelligence. We're technology‑agnostic and embed directly into your existing teams and infrastructure—no rewrites required.
Our Story
We believe great AI isn't a demo—it's an agent that does real work inside your business. Genie was founded to build production agents: systems that plan, call tools, retrieve context, and take actions safely within your environment. Our focus is durable, reliable capability embedded in the workflows that matter.
Today, we design, ship, and evolve AI agents end‑to‑end: discovery of high‑leverage workflows, explicit orchestration (LangGraph/LangChain), typed tools and APIs, retrieval with Postgres + pgvector, guardrails for safety, and tracing/evals with LangSmith. We integrate with your auth, data, and observability so agents are trustworthy, measurable, and easy to operate—not one‑off prototypes.
The Problem
Most teams know they need AI but don't know where to start—or which workflow will maximize return on investment. With dozens of possible use cases, model choices, and vendors, it's hard to identify the single agent that will actually move a KPI. Without a clear ROI path, initiatives stall, budgets drift, and "AI" never makes it into the workflows customers rely on.
Our Solution
We start with discovery and ROI. Genie embeds with your team to understand your business, customer demographics, and data landscape. We map workflows, score opportunities by impact, feasibility, and time‑to‑value, and select a single, high‑leverage agent. Then we ship it production‑ready in your stack—typed tools and APIs, retrieval on your data (Postgres + pgvector), safe orchestration (LangGraph/LangChain) with o4‑mini, and full tracing/evals via LangSmith—tied to measurable outcomes like valuation, retention, new revenue, or ecosystem depth. We teach your developers how it works and offer ongoing maintenance so it keeps getting better.