01 · ASSESS
See beyond the bill.
Across live production environments, roughly 5% of GPU and 8% of CPU capacity is actually used. Most of every compute dollar pays for capacity that sits idle, and the five to fifteen disconnected tools watching it can't agree on where.
Flex Axion delivers a full performance and cost assessment in 48 hours: every resource you own, what it really costs, and where it's exposed, across public cloud, private cloud and edge, with zero code changes. And it arrives with a savings number you can hold us to.
This is not a monitoring tool: it observes, reasons, and acts. Replacing what you already run is never necessary; we plug into the tools you already have and surface what none of them were built to see together.
$ flex assess top --by cost-per-function
FN CPU% COST/DAY TREND
ingest.parse_frame 41.2 $1,204 ▲ 12%
etl.reproject 22.8 $ 688 ▬
api.render_tiles 11.3 $ 341 ▼ 8%
See this stage in your environment 02 · MODERNIZE
The rewrite, without the risk. Proven.
Every enterprise has code it can't afford to rewrite and can't afford to keep running, and modernization programs rarely fail on technology. They fail on sequencing: plans that live in meetings and spreadsheets, dependencies discovered mid-cutover, one all-or-nothing weekend.
We rewrite that code function by function, agent-assisted and deterministic, in planned, rehearsed, reversible waves: no all-or-nothing weekend, no leap of faith. Every behavior of the new system is checked against the old one, automatically, and the evidence is kept: reviewable line by line, defensible in front of your auditors, not just your engineers.
We modernize workloads. We don't wrap them.
wave 03 / 11 [########..........] 42% unit: billing/proration.py → proration.rs
✔ compiles ✔ tests ported 34/34 ✔ behavioral equivalence · 10,000 inputs
verdict: VERIFIED-EQUIVALENT divergence: 0
See this stage in your environment 03 · TARGET
A foundation you can hold accountable.
Performance problems surface under real load: a market open, a claims surge, a mission window, exactly when they cost the most. And when something fails, "we can't reconstruct what happened" is a regulatory finding, not an excuse.
Workloads land on a foundation where the same inputs produce the same outputs, every time, with the record to prove it. No pauses at the worst moment, no surprises, no unexplainable state.
Flex Axion is not an infrastructure scheduler. Routing is a feature. Accountability is the product.
trust ledger · node fleet-ba-112
executions: 4,812 audits passed: 241/241
divergences_total: 0 ← any increment is a proven lie
See this stage in your environment 04 · FORECAST
Model what happens next.
Forecasting compute demand has grown far more complex than it used to be: static, backward-looking plans miss the feedback loops that actually drive overruns and panic buying, and by the time a shortfall is visible in a report, the cheap decision window has closed.
Capacity and demand forecasting for your compute estate, plus scenario simulation reconciled to your real numbers: the same inputs produce the same outputs, every run. Forecasts you can defend to a board or an auditor, not directional guesses, built from business intelligence no other tool in your stack is positioned to generate.
$ flex forecast --horizon 12mo
gpu_demand: +38% → covered by reclaimed idle
new_hardware: $0 · buy nothing yet
reproducible: same inputs, same outputs ✓
See this stage in your environment 05 · DEPLOY
Locked in to no one.
Chip architectures are multiplying, roughly five-fold by 2035, and every vendor's pricing depends on how hard it is for you to leave. Until now, every new architecture, cloud provider or contract meant another migration project.
The same workload runs on any chipset, in public or private cloud, or at the edge, and moves when the economics change, without touching the application. Modernize once, move anytime.
$ flex deploy --target fargate ✔ live 00:41
$ flex deploy --target wasm-edge ✔ live 00:12
$ flex deploy --target core ✔ live 00:23
See this stage in your environment 