Latency spikes follow energy events within seconds.
When energy volatility hits, workload queues and power caps drift out of sync. Manual escalation loops are usually minutes too late.
Founded 2024 · Seamium Ltd.
Built to govern
compute under
real-world limits.
Seamium develops governance systems that align compute workloads with real-world energy conditions — observing availability, cost signals, and operating limits, then enforcing behavior at runtime automatically.
0ms
Maximum enforcement latency from signal to action
0%
Policy coverage — no workload bypasses enforcement
0×
Demand forecast horizon ahead of peak load windows
Zero
Manual interventions required during enforcement cycles
Our Purpose
Energy is not a background condition.
It is the binding constraint on
every compute decision made at scale.
Seamium was founded on a single premise: that compute governance must begin at the energy boundary. As power availability, pricing, and grid reliability become primary operating variables, infrastructure teams need systems that enforce — not advise. Crosentis is that system.
What We Do
Governance systems for energy-bound compute.
Seamium develops governance systems that align compute workloads with real-world energy conditions. These systems observe availability, cost signals, and operating limits, then apply enforced behavior at runtime so infrastructure operates within physical and economic constraints.
Runtime Enforcement
Behavior is shaped during execution, not after the fact. Crosentis acts inline, not in retrospect.
Constraint Alignment
Workloads reflect limits, not assumptions. Every execution decision is grounded in observed reality.
Full Auditability
Every enforcement action is logged, versioned, and exportable. Operations remain fully accountable.
Crosentis System Flow
1
Observe
Energy pricing, availability, grid stability, and infrastructure state are read continuously — not on a timer.
Continuous
2
Evaluate
Every workload is matched against live energy state and operator-defined policy before execution begins. No assumptions.
Real-time
3
Enforce
Policy is applied at the boundary — inline, not by sampling. Workloads defer, scale, or redistribute in under 20ms.
<20ms
Why It Matters
Compute risk is now an energy orchestration problem.
Teams are being asked to run denser clusters, meet tighter response windows, and reduce spend simultaneously. That only works when workload behavior adapts to real energy conditions before instability, price shocks, or grid events trigger avoidable outages.
Unbounded execution compounds exposure fast.
High-demand windows and dynamic pricing can multiply cost in a single cycle if compute continues without policy-aware controls.
Govern where decisions happen: at execution.
Seamium enforces policy inline so defer, scale, and placement decisions respond to live constraints — not stale reports.
Energy must be an active control plane for compute. Treating it as a dashboard metric creates hidden risk; enforcing it at runtime creates predictable systems.
3×
Faster policy response window
Inline enforcement closes the loop during the event instead of after incident review, reducing escalation load and preserving service SLOs.
Monitoring tells teams what happened. Governance decides what is allowed to happen next.
Where runtime governance changes outcomes
- Limit drift before thermal or voltage excursions cascade.
- Route workloads against live cost signals and site limits.
- Keep every action policy-linked, logged, and auditable.
Latency spikes follow energy events within seconds.
Queue pressure and power ceilings can desynchronize in moments. Runtime controls keep services within safe operating bounds.
Unbounded execution compounds exposure fast.
Dynamic pricing windows can amplify spend quickly. Policy-aware workload behavior caps downside before it becomes a budget incident.
Govern where decisions happen: at execution.
Defer, scale, and placement actions are enforced inline with live constraints, not delayed by dashboards and manual handoffs.
Who It's For
Operators of energy-intensive compute at scale.
Seamium works with operators of energy-intensive compute systems across private cloud, data center, and distributed environments — teams where uptime, cost discipline, and operational clarity are not optional.
Role
Platform Teams
Teams responsible for workload execution under policy and limits. Seamium gives them enforced constraints at execution time, not recommendations delivered after the fact.
Role
Infrastructure Ops
Operators managing predictability across sites and clusters. Seamium surfaces infrastructure state continuously and enforces alignment with energy reality across all boundaries.
Role
Cost Owners
Finance and operations leads who require clear exposure and accountability from infrastructure spend. Every enforcement action is logged and traceable to a policy decision.
High-utilization environments
Typical environments run at high utilization and cannot rely on manual coordination. Seamium is built for exactly these conditions — where automated, inline governance is not a feature but a requirement.
Our Approach
Practical engineering. Operational realism.
Seamium is built around two principles that guide every architecture decision and every line of policy enforcement logic.
Principle 01
E
Energy First
Energy is treated as a direct constraint on compute execution — not a metric to observe, not a cost to minimize retroactively. Every decision Crosentis makes begins with available energy. Infrastructure operates within what the grid and physical systems can deliver, at the moment they deliver it. No extrapolation. No estimation.
Principle 02
C
Compute Always
Governance is applied through enforced controls that shape workload behavior as conditions change. Deferred workloads resume. Capacity is recovered. Operations continue within defined bounds. The goal is not to stop compute — it is to ensure compute happens within the conditions that reality presents, without requiring a human in the loop.
This is designed for environments where constraints define what is possible. Seamium does not remove constraints — it makes them legible, enforceable, and operational at scale.
Our Story
How Seamium was built.
A focused path from an infrastructure observation to a production-grade enforcement system.
2023 · Q2
The Observation
Engineering teams running high-density compute documented a recurring failure pattern: infrastructure decisions were being made against stale energy data. Monitoring showed the problem. Nothing enforced a response.
2023 · Q4
Research Phase
Twelve months of research across energy grid APIs, workload scheduler internals, and datacenter power delivery systems. The core thesis emerged: enforcement must happen at the execution boundary, not the reporting layer.
2024 · Q1
Seamium Founded
Seamium Ltd. incorporated. The Crosentis Engine begins as an internal prototype — a policy runtime that sits inline with schedulers and enforces energy-aware workload behavior without replacing existing infrastructure.
2024 · Q2
Crosentis v0.1 — Private Pilot
First external deployments in private cloud environments. The three-phase loop — Observe, Evaluate, Enforce — validated under real-world energy variability conditions. Sub-20ms enforcement confirmed at production load.
2024 · Q4
Policy Language Released
The declarative policy syntax for Crosentis opens to validated partners. Operators define constraints once; the engine enforces them across every execution boundary, every cycle, with full audit logs.
2025 · Now
Platform Access Opens
Seamium moves from private evaluation to structured access. Infrastructure teams managing energy-constrained compute at scale can now request platform access through formal review and technical validation.
Get Started
Ready to govern
your infrastructure?
Platform access requires technical validation and a security review. We work with teams operating at meaningful scale.