Operational Intelligence inside
every complex industrial operation.

We help the people who run operations make better decisions, with their own data.

Build with usWatch the 30-second demo

Decisions in operation.

Selected recordings from our projects, on synthetic or generic data. Open one for the problem, the decision and what was validated.

All applications

4 selected cases

Recordings play when fully in view and pause on request. Customer identities are withheld.

Problems we work onLogistics · Manufacturing · Healthcare · Retail · Transport · Defense · Robotics

Most AI stops at the semantic layer.
Omelet builds the decision layer.

Ask a question, get an answer: that is where most AI stops. Give the Decision OS a goal and it returns the decision that achieves it. Outcomes and feedback come back as data, so the next decision starts better.

Explore our technical directionWatch the 30-second demo
Decision OS: the decision loopSix selectable layers drawn as rounded blocks: people, applications, the decision layer that Omelet builds as a Decision OS, the semantic layer, data pipelines and source data. Most AI works in the lower three layers, turning a question into an answer; Omelet works from the decision layer up, turning a goal into a decision and an action. Outcomes and feedback return along the right side as data, so the next decision starts better: a decision loop. People Judgment, action & feedback Approve ✓ Override ↺ Comment Applications Planning, coordination & execution Decision layer Goal in, decision out Decision OS · built by Omelet goal · rules Plan A · 97 Plan B · 93 Plan C · 88 Decide ✓ Semantic layer Entities, relationships & constraints Vehicle Order Site Driver Shift Constraint Data pipelines Connect, validate & contextualize Connect Validate Context Sync Source data Systems, events & human input Omelet · goal → decision → action Most AI · question → answer Decision loop · outcomes & feedback return as data Decision OS: the decision loopSix selectable layers drawn as rounded blocks: people, applications, the decision layer that Omelet builds as a Decision OS, the semantic layer, data pipelines and source data. Most AI works in the lower three layers, turning a question into an answer; Omelet works from the decision layer up, turning a goal into a decision and an action. Outcomes and feedback return along the right side as data, so the next decision starts better: a decision loop. People Judgment, action & feedback Applications Planning, coordination & execution Decision layer Goal in, decision out Decision OS · built by Omelet Semantic layer Entities, relationships & constraints Data pipelines Connect, validate & contextualize Source data Systems, events & human input Omelet · goal → decision → action Most AI · question → answer Decision loop · feedback returns as data
Select a layer to see what happens there. A goal enters at the top and becomes a decision and an action; outcomes and feedback return as data on the right, and the loop runs again.
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People

Planners, dispatchers and operators see the recommended plan with its alternatives and reasons. They approve it, override it, or leave a comment, and act on it in the field.

Omelet’s applications are built so that people stay in control of the decision.

Applications

Vertical applications for routing, scheduling, loading and dispatch. This is where plans are made, compared and put to work, connected to the systems that execute them.

Every application draws its decisions from the one decision layer below it.

Decision layer

Give it a goal and the rules of the operation. It generates candidate plans, searches for better ones, scores them against real objectives and constraints, and recommends one with its reasons.

This is the layer Omelet builds: the Decision OS. Most AI answers questions; this layer takes a goal and makes the decision. The six capabilities live here.

Semantic layer

The meaning of the operation: vehicles, orders, sites, drivers, shifts, and the rules that bind them. One model, shared by every decision.

This is where most AI stops: ask a question, get an accurate answer. Omelet treats it as the input to a decision.

Data pipelines

Source data is connected, validated and given context before any decision depends on it, and kept in sync as the operation changes.

Good decisions need trustworthy inputs. This layer earns that trust.

Source data

ERP, WMS and TMS records, telematics and sensor events, and what people type in. The loop closes here: outcomes and overrides are captured as data too.

The decision loop closes here: outcomes, overrides and feedback return as data, so the next decision starts better.

Six capabilities.
One evolving intelligence.

Six complementary capabilities, working together.

See it work.

A routing decision in OI Studio: from data to a reviewed plan, in thirty seconds.

A routing decision, in OI Studio · recorded walkthrough · synthetic data
From depots, vehicles, and visits to a proposed route plan. The recording shows objectives, constraints, and a map for reviewing the result.
  1. 01Bring the data.

    Describe the depots, vehicles, and visits.

  2. 02Define the rules.

    Set the objective and operating constraints.

  3. 03Generate a plan.

    Run the selected optimization capability.

  4. 04Review the decision.

    Inspect the routes before deciding what to use.

Explore OI StudioConnect an optimization APIOur delivery approach

Every decision should leave intelligence behind.

Our mission is to solve complex operational problems in industry, turn that problem-solving into reusable assets, and connect more customers’ decisions to their operations. We turn projects into capabilities, and capabilities into products.

Build with usRead our researchJoin the team
  1. Start with the real operation.Keep its people, objectives, and constraints in view.
  2. Make knowledge reusable.Carry useful methods beyond a single project.
  3. Keep the loop open.Let reviewed outcomes and feedback inform what comes next.