We do not build software you check.We build the company that runs itself.
Kastor is a controlled execution environment where your data, your intelligence and your automation operate together, under rules you set, inside your own perimeter. It is built by operators who have scaled and sold the systems they now build for you, and it ran the aKillion agency itself before it was offered to anybody else.
Most business software was built to be checked. You open it, you look at what is there, and then you go and do the work somewhere else. That was a reasonable design when the alternative was paper, and it is the reason a modern company runs on eleven systems that all agree with each other only on the last day of the month.
The bet behind this product is that the checking is the part worth removing. Not the judgement, which is why a person still signs the agreement, still decides who to hire and still picks up the phone when an account has gone quiet. The checking. Everything mechanical between one decision and the next should happen on its own, on one record, with a note saying who did it and why.
Three commitments follow from that, and everything in the product is downstream of them.
FOUNDED BY OPERATORS
Two people who have run the kind of company this is built for.
Not researchers who read about the problem. People who have carried a receivables number, missed a delivery date, and sat through a close that took nine days.
A former United States Naval Officer who co-founded The AutoMiner and led PureCars as chief executive, where he shipped customer data and AI products including RylieAI, an early AI digital employee. He founded aKillion to make the automated workforce something a company can actually operate rather than talk about.
The technical force behind the platform, with deep expertise across data, software architecture and the systems that run AI at scale. Part of the team behind The AutoMiner, and more than two decades across fast growing startups and Fortune 500 data platforms turning complex systems into governed infrastructure.
THE TRACK RECORD
Built, sold, and operated in between.
Building and automating data infrastructure for Fortune 500 companies. The unglamorous half of this history, and the half that decides whether the rest of it works.
Co-founded and scaled a customer data platform from nothing to an acquisition. Built, sold, and operated in between, which is the part that is hard to fake.
The platform was bought by PureCars, and the people who built it went with it rather than leaving at the earn out.
Led a customer data and advertising platform serving dealers across North America. A business with real operators, real receivables and a real period close.
An AI digital employee for inbound and outbound work, years before the phrase was fashionable. The direct forerunner of the seven agents in this product.
Built first to run the aKillion agency itself. It ran the company that built it before it was offered to anybody else, which is a different kind of testing than a pilot.
The last line is the one that matters most. A platform that ran the company that built it has been through a real period close, a real awkward receivable and a real hire, which is a different kind of testing than a pilot with a friendly customer.
THE PEOPLE WHO RUN IT
Five more names, and what each of them owns.
Leads the partner ecosystem, managing premier channel partners and private label partners across the full ION product suite. He owns those relationships end to end and builds the programmes that turn each partnership into revenue.
Owns onboarding, customer success and platform delivery, so every client reaches value quickly. She turns the build into a running operation, keeping launches on schedule and agents tuned as each business grows.
Owns revenue operations end to end, spanning sales enablement, contract and product packaging, and billing coordination. He builds the systems that keep every deal moving cleanly from first conversation to paid invoice.
Works at the edge between customers and the product, translating real workflows into agents that perform in the field. He builds, tests and refines deployments so each agent reflects how the business actually runs.
Leads finance and accounting, bringing the rigour of a seasoned financial executive to a fast scaling company. She owns the full financial operation, from revenue recognition and reporting through to controls and forecasting.
FOUR NAMES PEOPLE CONFUSE
Where Kastor sits, and what the other three are.
This is the single most common thing this page has to fix, so here it is as a descent from the model layer to the screen your team actually opens.
The parent company and the private model layer. The hypervisor governs which data a model may see and keeps inference inside your own environment. Everything below inherits that posture.
The master controller. It schedules agents, routes tasks to the right model, enforces permissions and opens the marketplace. Your AI employees live here and come to work in Kastor.
Customer data, first and third party data, identity, audience, media, content and conversation, with purpose built vertical systems alongside.
The platform your company works in, and the only one of these four your team opens every morning. It runs on its own and reaches the whole suite when connected.
And the name itself. Castor and Pollux were brothers in the old story who refused to be separated and were placed in the sky together rather than apart. Kastor is named for one of them and Orion is the other half of the pair. Two systems, distinct, permanently linked, neither one subordinate to the other. Most platforms make you take the whole ecosystem to get any of it. This one runs alone, and connecting it is a decision you make later on evidence rather than a condition of buying anything.
IN CONVERSATION
Three places this argument has been made out loud.
IF ANY OF THIS SOUNDS LIKE YOUR COMPANY
Come and argue with us about it.
Bring the part you think will not work. The department that is genuinely too specific, the process nobody has ever managed to systematise, or the number you do not believe. Those are the useful calls.
