Caelorium is a parent company building deliberately in applied AI — an intelligence layer through Mikisha. A single standard of execution.
Caelorium was founded in 2025 with a simple thesis: the next decade of valuable companies will be built by teams who can turn intelligence into deployed operations. So we structured ourselves to build for that future from day one.
Mikisha is our applied-AI platform — a decision and orchestration layer that turns business signals into deployed agents and operating workflows. Not chat. Outcomes.
We ship work we'd put our own name on. That's the only filter that matters.
Three orientations — present, future, and the year ahead. They keep us honest when the work gets hard.
Engineer intelligence that holds up under production pressure — agents that hold up in operations, pipelines that survive scale, handoffs that survive the team that inherits them.
We see a world where business intent and operating systems converge — where the team that defines the outcome also runs the agents acting on it. Caelorium exists to be that team for serious operators, globally.
Concrete targets we hold ourselves to over the next twelve months — measurable, public to the team, and visible on the wall.
Six commitments that hold for every Mikisha rollout and every line of code we ship.
We'd rather ship one thing that endures than a dozen that need maintenance. Care compounds.
Latency budgets, accuracy budgets, cost budgets. We design to them — not around them.
Every project is led by someone who has shipped that exact problem class before. No learning on your time.
Every nontrivial trade-off is written down with rationale. You inherit understanding, not just artifacts.
Across agents, pipelines, and product, the floor is the same: works, holds up, gets handed off cleanly.
We don't lock you in. Long relationships are a result, not a contract clause.
Parent thesis defined: build seriously across deep tech and applied AI under one operating standard. No service-shop framing — we wanted to behave like a product company on both sides.
Applied-AI surface introduced — an operating layer for decision agents, signal pipelines, and orchestrated workflows. Early design partners onboarded across operations and analytics.
Mikisha enters production with multiple operators. The shared bar — and the discipline of treating deployment as the work — is the moat.
A small team that has shipped real systems — and prefers it that way.
Sets direction for the studio and runs the business side of Caelorium. Background spanning operating-heavy programs and applied-AI platforms — believes the parent's job is to enforce a single standard of execution, every time.
Owns the engineering bar end-to-end — system architecture and applied-ML across Mikisha. Background in distributed systems and high-stakes software bring-up. Believes deployment is the work, and documentation is half of it.