IOP.ai
AI Agents Studio
IOP.ai engineers and builds bespoke AI systems with maximal efficiency and simplicity in mind, delivering reliability without wasted compute or data.
"Everything should be made as simple as possible, but not simpler."
We choose the least complex Software 1.0, 2.0, or 3.0 (Deterministic logic, narrow AI models, & large general AI models) path that meets your needs. Proven heuristics when they suffice, fine-tuned narrow models when they matter, and full agents only when the job demands it.
We curate compact, high-signal datasets, protecting trust, latency, and cost. The result is faster iteration, leaner infrastructure, and sharper decisions.
Inspired by NVIDIA's small-model approach to agentic work, we orchestrate lightweight LLMs with deterministic guardrails for dependable execution at scale. Vertically integrate with our efficient architecture, own the full tech stack and become AI native.
Deploy deterministically scaffolded agent networks so whole departments move more mass while every person operates two layers higher.
Translate end-to-end departmental workflows into orchestrated agent lattices that execute with audit-ready accuracy.
Equip individuals—from analysts to executives—to supervise and tune agent swarms instead of micromanaging tasks.
Expose shared context, simulation, and escalation pathways that let the entire organization think at a higher order.
Tooling and playbooks that let departments adopt agent orchestration while people climb to a higher command altitude.
Identify which responsibilities remain deterministic, where narrow models belong, and where multi-agent systems unlock department-level lift.
Engineer guardrailed agent architectures with state machines, policy libraries, and cross-system integrations for reliable autonomy.
Deliver orchestration consoles, telemetry, and feedback loops so every role can supervise, tune, and extend the agent mesh.
From discovery to deployment, we wire deterministic agent orchestration that elevates human focus across the org chart.
Map departmental responsibilities, abstractions, and control surfaces to pinpoint where orchestration unlocks the highest leverage.
Blueprint deterministic scaffolds, model ensembles, and human checkpoint patterns so teams can steer agent systems with confidence.
Launch orchestrated agents with telemetry, escalation ladders, and control towers so departments can operate at the new abstraction.
Iterate with evidence, extending scope only when compute, data, and human feedback signal readiness for greater autonomy.
Letters of recommendation from previous managers and supervisors highlighting technical leadership and AI engineering expertise.
Instrumentation Systems, NASA Kennedy Space Center
"Alberto stands out as one of the most capable and forward-thinking individuals I have encountered. His automation framework revolutionized how we monitor sensor networks and established one of the few officially approved AI use cases at Kennedy Space Center. He represents the next generation of engineers that NASA and the world needs."View Full Letter (PDF) →
Instrumentation Manager, NASA Kennedy Space Center
"Alberto didn't just contribute to our systems, he redefined them. His fully automated Daily Checks program saves several engineering hours weekly and is now critical to our workflow. He combines vision with execution, conviction with technical rigor, and inspires others to move forward with him."View Full Letter (PDF) →
Drop a note and we'll blueprint the agent orchestration that lets your organization move more mass at a higher order of thinking.
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