Run the operation
Subscription products connect daily work, project future conditions and catch conflicts earlier. Each industry product earns its own customer relationship and economics.
Liito Labs builds subscription software for complex operations. It connects the records, rules, people, equipment and schedules behind the work, then carries the consequences of a change forward while there is still time to act.
Operating rules, schedules, people and equipment have to stay aligned. A routine change can alter when an asset is needed, who must be available, how much service time remains and whether maintenance can finish before the work begins.
Today, too much of that connection lives in people's heads or across separate systems. Liito Labs builds software that carries the consequences forward, brings the relevant facts together and makes a conflict visible while there is still time to act.
The shared decision foundation supports industry-specific rules, records and workflows. Four capabilities stay common.
Bring the asset, the people, the schedule and the work around it into one record, so a change does not stop at the system where it began.
Evaluate a request against the applicable rules and required approvals before it changes the operation, whoever or whatever sends it.
Apply the same checks to a future point in the schedule, so the operation can see what will be ready, what will expire and what must happen first.
Keep the request, the facts used, the rule results, the action and the recorded outcome together for people to review.
A service limit can change whether an aircraft, vessel or rail asset will be available for planned work.
An expiring qualification can change who may take an assignment in aviation, logistics or medical operations.
A delayed job can move downstream work, staffing and capacity across the rest of the plan.
Marine, rail, logistics and medical operations are possible applications. Liito Labs has not yet built or sold products for those industries.
The shared kernel handles rules, projection and inspectable decisions. Each product supplies its industry's language, records and daily work around that engine.
Products reuse the machinery for governed actions and future projection instead of rebuilding it for every industry or customer.
The industry's own rules and records stay distinct. Features and workflows adapt to the business around the shared core.
AI helps develop the product around the kernel. The intended advantage is less repeated implementation as products and customers differ.
Hand AI the work, not the interpretation. Every route into the operation uses the same declared rules, and future operational agents are meant to work inside them. Liito provides the first evidence of the development method: AI helped build the kernel and its aviation interface, including a FlightBridge integration built in an afternoon. That example does not establish delivery economics for the whole product. Forward-looking evaluation is patent pending.
Liito Labs begins with subscription software for the business running the operation. As coverage grows, the connected record could reveal what will be needed next, support services around that need and create recurring intelligence for organizations that benefit from understanding real-world operations.
Subscription products connect daily work, project future conditions and catch conflicts earlier. Each industry product earns its own customer relationship and economics.
A projected need could become an operator-authorized request to a qualified provider. Liito's first aviation example is an approaching annual inspection shared with suitable local shops. Completion updates the record and next plan. Paid planning tools, booking or referral fees are models to test.
Permitted operating histories could become intelligence for organizations that serve an industry. In aviation, qualified performance measurements joined to usage and maintenance could help engine and component manufacturers study reliability. Recurring subscriptions, benchmarks, licensed datasets and APIs are models to test.
The kernel can make the joined history more useful. Where those links are captured, it can preserve an inspectable connection among the applicable rules, the facts supporting a decision, the action taken and the recorded outcome. This is a future business opportunity: the kernel does not certify a physical measurement, fill missing history, establish causation or grant permission to share a record. Coverage, customer participation, permitted use and buyer willingness to pay remain to be proved.
An aircraft can be ready now and unavailable for a scheduled flight. Two three-hour flights are on the schedule, but only the first fits before the inspection is due. Liito joins the inspection limit to the planned flying, then evaluates readiness at the time each flight will depart.
If the schedule, aircraft record or maintenance plan changes, the projected answer changes with it. Dispatch sees the conflict before it becomes a day-of-flight surprise.
| Scheduled point | Hours flown | Hours left |
|---|---|---|
| Now | 787.5 | 5.0 |
| After earlier flight | 790.5 | 2.0 |
| After planned flight | 793.5 | −1.0 |
This scenario illustrates the decision Liito is designed to support. It is not a measured customer outcome.
Liito is built for operators whose tools are hard to adapt and leave staff reconciling schedules with maintenance information. The buying case is better coordination and fewer scheduling surprises, in software that fits the operation.
A mixed-fleet operator is adopting Liito because its current tools are difficult to adapt and do not connect scheduling, maintenance and aircraft readiness at flight time. Dispatch and maintenance staff are working through the product with their own records before Liito is offered to more operators. The operator wants to grow from a regional charter business to a national one; it needs better coordination today and software that can support that ambition. No operator has yet released a revenue flight through Liito.
The first commercial milestone is repeatable adoption of Liito in aviation. Investment also develops the shared foundation and the company's capacity to deliver.
Establish dependable daily use. Measure reliability, conflicts caught early and time spent on manual coordination.
Establish a setup process for future customers. Test the commercial model and track the effort required to bring each operator into daily use.
Build engineering and customer support capacity. Track ongoing service costs as customer needs vary and products develop.
Liito is in preview with one mixed-fleet operator and is not yet generally available. An aviation scenario benchmark is under way, defined from operator needs independently of Liito's design, to find gaps that testing only our own product could miss.
Helped Roku grow at scale, taking on some of the company's most complex new challenges across technology, product and global operations. Previous leadership at Apple. A career turning unfamiliar, ambiguous problems into clear direction and teams capable of delivering. Pilot, aircraft owner and LifeLine Pilots board member.
If you invest in software for complex operations, write to us to discuss Liito Labs or see Liito at work in aviation.