Powering the next evolution of
Human ↔ machine collaboration
“We build software that reasons like the people who run the operation — not software that makes people work the way systems do.”
Our vision
The future of human–machine interaction
We set out to change how people and software work together. We see a near future where working with enterprise systems is as natural as a conversation.
Asking will replace hunting through menus and ERP screens, and the answer will come back as something you can check, compare and decide on — not a wall of text. Our mission is to make that real in industries where a wrong answer is expensive.
Language is the interface, and a model of the operation is the engine — so people can focus on outcomes, not on navigating software.
Our principles
From clicks to conversations
Four principles we hold ourselves to while we build it.
Human at the helm
Automation supports people; it does not replace their judgement. Machines assist; people decide. Each call stays with whoever holds the authority for it, set by its kind as well as its cost — and agents that prepare the options for that person are where we are going.
Adaptive, not intrusive
We don’t automate for automation’s sake. The platform is configured to your operation, in its own words, and runs the routine work you declare exactly as declared, every step on the record — beside the systems you already run, not instead of them.
Built for trust and compliance
In critical industries, every mistake has to be caught, contained and traced back. So every change is kept as a claim with its author and time, nothing is overwritten, and a decision can be read as it stood when it was taken.
Collaborative by design
We start from one real problem, as small as it really is, and the people who face it every day — working alongside your teams, in your vocabulary, and building the model with them.
Building the vision
Asking only works if the answer can be trusted
So the conversation needs something underneath it that holds the operation the way it actually is.
Most operational systems store a fact as a row with one value at a time. When it was true, where it is, whose word it is and which system said it all end up as columns beside the fact. Ask a question across them and someone has to reconcile it by hand — which is exactly the work a conversation with software was supposed to remove.
So we built the core the way that demands: a model that holds every statement in four dimensions — time, space, truth and source — and an engine that runs the work on it. The engine is deterministic: the same question over the same records gives the same answer, traceable to the claims it used. Language sits on top of it, never in place of it.
The operational model and engine
Selira Orrery
Holds the operation as it actually is, every record keeping its source and when it was known — answers compound questions in one structured query, and runs the work you declare on it.
The intuitive interface
Selira Intui
Where people and agents work together, and people take the decisions. Today, a copilot for defined tasks asked in plain language, with sheets and documents beside the records. Where it is going: any question, in your own words.
Who builds it
Carried for twenty years, prepared for three
Selira starts from an idea older than the company: model a system by its structure, not its surface. Stanislav Korolenko first put it to work in 2006, in Alaida, his first startup — a platform that kept data, structure and display apart. Around fifty projects were built on it, and some still run.
For the next twenty years the idea went where the work went: into Langulex, which drew meaning from language before large language models, then into senior engineering and architecture on large-scale data platforms and enterprise AI tooling. The systems grew at every step. The idea held.
Then came the groundwork, laid on purpose. Three years of field research across aviation, manufacturing and rail. Dozens of industry events. Membership of the Digital Twin Consortium, and a place in the Vertical Flight Society. A team of consultants around the world who know the work first-hand. Only then did the building begin — in aviation maintenance.
Selira is now in early access, looking for design partners: operations with one real problem they want modelled.
Challenge us with a real problem.
Bring one question your systems can’t answer together. We model it with you and show you the answer, with what it stands on — and you decide where it goes from there.