Design aerostatic bearing rotor systems with evidence-gated decisions.
AURA is a decision‑ready engineering workflow for gas‑static (aerostatic) rotors.
It helps teams reduce late CAE surprises by combining layout, bearing sizing, rotordynamics screening,
and evidence-gated validation in one traceable workflow.
Requirements → Layout → Bearing sizing → Rotordynamics screening → Validation registry → Manufacturing pack.
Recruiting 2–3 technical pilot partners for 2026 reference workflows. 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
- Shorter design cycle: fewer disconnected spreadsheets and manual handoffs
- De‑risk decisions: feasibility flags before you commit to heavy CAE or manufacturing
- Review‑ready outputs: a traceable package you can share internally
Social proof (founder credibility)
Built from long‑term research and engineering practice in gas‑static bearings, with a public validation-registry surface and a first Breshev conical gas-bearing method-chain anchor.
Product
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
- Requirements → decision gates (what passes / what fails and why)
- Validation handoff (open registry evidence + CAE comparison path)
- Manufacturing pack (export‑ready reports & drawings as the roadmap)
What teams get on day one
- Decision summary: feasibility flags, constraints, assumptions
- Engineering outputs: sizing tables + stability diagnostics
- Traceability: report‑grade package for internal review
Market opportunity
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
- Precision spindles and advanced manufacturing
- Compressors and turbomachinery (incl. hydrogen)
- Cryogenic expanders and scientific equipment
Why now
- Higher RPM and tighter tolerances
- Pressure to shorten design cycles
- Need for traceability and engineering QA
Buyer profile
- R&D teams and engineering managers
- OEMs and specialized integrators
- Universities and research labs (early adopter channel)
Pilot, business model, and acquisition
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)
- Kickoff: constraints, RPM range, performance targets
- Rapid iterations inside the AURA workflow
- Decision‑ready report + recommendations
- Optional validation loop (Adams / SolidWorks path)
Pilot success criteria
- Clear feasibility gate (pass/fail + what to change)
- Repeatable input template for the next project
- Internal review pack ready for engineering leadership
Subscription (software)
- Team access to workflows and templates
- Reusable design packages across projects
- Roadmap: more bearing types + deeper dynamic KPIs
- Export‑ready packages (procurement, manufacturing)
Go‑to‑market (traffic)
- Wedge: universities & research labs → credibility and early users
- Direct: outreach to OEMs / integrators (spindles, compressors, cryogenics)
- Content: calculators + technical guides → inbound intent
- Partners: air‑bearing vendors, CAE consultants, test labs
Use the pilot intake form — it’s the fastest way to get a reply (within 24 hours).
Open Validation Registry
AURA is now backed by a public evidence-gated registry: analytical solver-sanity anchors, external diagnostic comparisons, forensic blocked cases, and engineering-evidence gas-bearing anchors.
The first public scoped Breshev conical gas-bearing method-chain anchor links industrial spindle evidence, experimentally validated FEM results, and the Breshev perturbation method used in AURA.
This is not a universal validation claim. It is a scoped engineering-evidence record with explicit residuals, provenance, and limitations.
Moat (competitive advantage)
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
Open registry evidence, diagnostic comparisons, and scoped method-chain anchors make trust auditable instead of asserted.
High barrier to copy
- Coupled pipeline + decision gates (process moat)
- Constraint logic + heuristics (engineering moat)
- Validation registry + method-chain anchors (trust moat)
- Templates + reports that lock workflows in teams (switching cost)
Scales beyond one application
- Same workflow fits spindles, compressors, microturbines, cryogenic machines
- Roadmap: more bearing families, deeper dynamics, manufacturing pack
- Long term: standards-aligned decision packages, registry-backed QA, and proprietary customer anchors
FAQ (for investors and partners)
What problem does AURA solve?
Are the numbers real (10× / 95% / $200K)?
Who pays and why?
Why is this hard to copy?
Is the market limited to spindles?
What is the next milestone?
Contact (pilot requests)
Oleksii Breshev — Founder, AURA Engineering Platform
Contact email: aura@breshevengineering.com
- Reply time: within 24 hours
- Best first message: machine type + RPM range + constraints
Next step: we’ll confirm fit in a short call and share a one-page pilot scope.