OptiU
Democratizing Optimization · Powered by Opti

The AI
that decides.

AOMs are the world's first closed-loop, prescriptive, adaptive optimization framework. They don't summarize like LLMs. They don't snapshot like Operations Research. They optimize, continuously, under your real constraints — and push the action straight into your transactional systems.

175 AOMs · 5 suites·Sandbox in 60s · Production in 4–6 weeks
Optimizer running

“Reorder denial #4421 first — payer SLA expires Friday and recovery probability is 0.78.”

Category-defining leap

AOMs are not LLMs, not Operations Research, not dashboards.

Three categories sit short of where decisions actually live. AOMs close the gap.

Not GenAI / LLMs

Language engines.

Predict text, summarize, ideate. They don't compute optimal actions under constraints. LLMs make work faster — AOMs make work more profitable.

Not OR / LP-MIP

Static snapshots.

Powerful for one-off optimization, but solutions degrade the moment conditions shift. AOMs are continuous and adaptive — re-optimize as data changes.

Not Dashboards

Descriptive, not prescriptive.

BI shows what's happening; humans still pick the move. AOMs decide and push the action into ERP, CRM, MES, EMS — closed-loop.

The Substance

Built on AOMs.

An Autonomous Optimization Model is one closed-loop optimizer. Six components. One cadence. One optimal action — pushed into your transactional systems with the rationale attached.

  • Opti— combines Reinforcement Learning & Operations Research optimizers at the Autonomy layer.
  • CARE™ — embedded constraint engine that guarantees feasibility.
  • Why & why-not — explainability surface on every recommendation.
01Run02Decision03Explanation04KPI Impact05Alert06OverrideAOMOne unit of decision.
Component 01 · Run
auto-cycling

Cadence — when and how often the optimizer runs.

Real ROI · Hard, not soft

LLMs measure success in tokens.

AOMs measure it in dollars.

Cost
↓ 5–15%

Routing, sourcing, blending.

Revenue
↑ 2–8%

Price/promo optimization, sequencing.

Working capital
↓ 8–20%

Inventory & fulfillment optimization.

Sustainability
↓ 8–20% CO₂

Mode/fuel mix, energy dispatch.

Service
+5–15 pts

SLA / fill-rate uplift.

Indicative ranges from production AOM deployments. Actual lift depends on baseline maturity, data quality, and integration depth.

By sector

Same companion. Same AOMs. Four operating environments.

The Optimization Backbone for the World

Run an optimizer, or tell Opti you're interested.

Sixty seconds gets you to a real optimization run in the sandbox. A two-minute form gets you a calendar with the right Solutions lead.