AURA is a decision‑ready engineering workflow for gas‑static (aerostatic) rotors.
It helps teams reduce late CAE surprises and shorten iteration cycles by standardizing the early phase.
Requirements → Layout → Bearing sizing → Rotordynamics screening → Validation → Manufacturing pack.
Recruiting 2–3 pilot partners (January 2026). Expect a reply within 24 hours.
ICP (broad but clear)
R&D and design teams building high‑speed rotors with gas‑static bearings: spindles, compressors, microturbines, cryogenic machinery.
Business value
Social proof (founder credibility)
Built from long‑term research & engineering practice in gas‑static bearings (patents + academic work) and designed to align with established CAE workflows.
AURA produces decisions and traceable packages — not isolated calculations.
1) Requirements intake
Targets, constraints, RPM range, envelopes, and failure modes captured once.
2) Layout + guardrails
Architecture selection with sanity checks (support span, loads, constraints).
3) Sizing + stability
Bearing capacity/stiffness/flow + rotordynamics screening to catch risk early.
Full value cycle
What teams get on day one
High‑speed rotating machinery is growing across advanced manufacturing, energy, aerospace, and cryogenics. Gas‑static bearings enable non‑contact, high‑speed architectures — but the engineering workflow is still fragmented.
Where demand comes from
Why now
Buyer profile
We start with a paid pilot (2–4 weeks) to validate ROI on your real rotor architecture. Then we transition to subscription for ongoing design iterations, templates, and internal reuse.
Paid Pilot (services + software)
Pilot success criteria
Subscription (software)
Go‑to‑market (traffic)
Use the pilot intake form — it’s the fastest way to get a reply (within 24 hours).
The advantage is not a calculator. It is a coupled workflow + domain model + automation that scales.
Coupled workflow
Layout, sizing, and stability screening in one pipeline — fewer handoffs, fewer mismatched assumptions.
Automation (AI-ready)
Guardrails, consistency checks, and report generation reduce human error and make knowledge reusable.
Trust via validation
Comparison path to established toolchains (Adams / SolidWorks) improves adoption and confidence.
High barrier to copy
Scales beyond one application
Oleksii Breshev — Founder, AURA Engineering Platform
Contact email: aura@breshevengineering.com
Next step: we’ll confirm fit in a short call and share a one-page pilot scope.