Got AI Information

Got Ai builds production AI that solves complex business problems — not experiments. We design custom agent swarms, HiveOps orchestration, and data intelligence layers that are engineered to change KPIs you care about. What we deliver (short, tangible): Problem → metric alignment. Every project starts with a single business metric (time saved, error rate, throughput, or conversion). We design to move that metric. Data-first engineering. Parsers, canonical schemas, and secure indexing so assistants operate on one clean source of truth. Composed agent swarms. Small, auditable assistants each do one job well (extract, classify, summarize, recommend). Composed, they handle end-to-end workflows with higher confidence and lower latency than monolith approaches. HiveOps production layer. Deterministic routing, confidence scoring, guardrails, encrypted context buses, and immutable audit trails — so AI can act, retry, escalate, or hand off to humans safely. Operational readiness. CI/CD for prompts and models, monitoring dashboards, SLOs, incident playbooks, and automated retraining pipelines. Team handover. Playbooks, role-based runbooks, and short hands-on training so your people can run and iterate. Why it works: most projects fail from messy data, missing observability, and poor human handoffs — not model shortcomings. We fix those root causes and deliver measurable outcomes: faster triage, fewer manual corrections, and lower operational cost per transaction. Typical outcomes we see in pilots: major time savings, 20–70% error reduction, and meaningful cost-per-transaction decreases. We’ve executed pilots and production programs in healthcare, biotech, enterprise SaaS and real estate — including work with Pfizer, MGH, Harvard, Lahey Clinic, and EyeBot. Want a pilot? Email Daniel@gotai.com with one metric you want to change. We’ll send a 2–3 week discovery plan that proves value quickly.