Borealis Dynamics

Complexity is our medium.Control is our product.

Computational engineering lab

Thesis

We operate where there is no manual. Learning, modeling and solving is the product.

Off-the-shelf software optimizes the known. Traditional consulting describes the past. We work at the edge between applied mathematics, physics and engineering, turning hard systems into verifiable models, controllable predictions and defensible decisions. From firmware to cloud.

Our standard is not "it works". It is correct, traceable and robust under real conditions. We do not accept a comfortable approximation where error is expensive.

Every relevant problem is a system. Every system can be modeled. And everything that can be modeled can be mastered.

Evidence · delivered projects, with what is and is not proven

Three operations, three instruments.

Every project below follows the same record: problem, intervention, evidence, result and limit. Where a fact is missing, it says so.

01

Pressio (GBP Calculator)

Outrigger ground bearing pressure · support engineering · applied research

How much pressure does a crane outrigger put on the ground?

The rule of thumb divides the load by the mat area. The calculator below solves what the rule ignores: mat bending and soil response. The calculation really runs, in your browser. Drag and see where the rule is wrong.

Beam on Winkler–Pasternak foundationp(x) · live

Inputs

600kilonewtons
0.60
3.0
1.50
0.20
40000
5000
σ max on ground
—kPa
P/A rule
—kPa
45° dispersion
—kPa
σ min (linear model)
—kPa
Max settlement
—mm
Lift-off
—
ΠG · Πk
—·—
ΠS · regime
——

σmax / P/A = —
—

Em Im w'''' − G w'' + k w = q(x)

Euler–Bernoulli beam on a Winkler–Pasternak foundation, 1D canonical case, free ends, outrigger strip load plus mat self-weight. Contact pressure p = k·w − G·w''.

ΠG = G·L0²/EmIm · Πk = k·L0⁴/EmIm

Two numbers govern the response. ΠS = ΠG / 2√Πk marks the boundary between solution families: below 1, oscillatory; above, non-oscillatory.

Didactic, linear, static model, solved by finite differences on every adjustment. It does not describe failure, plasticity or transverse effects and does not replace design. Values of k and G depend on geotechnical calibration. Formulation from the paper "Mat–soil contact pressure in outrigger-stabilized cranes: the critical regimes method", by Alexandre Viana Trein and Nilson Cardoso de Lemos. [[VERIFY: published or under review? link or DOI]]

Client and sector
Heavy lift and outrigger support engineering. [[VERIFY: client, or in-house product]]
Problem
Choosing mats and outrigger support with geometric rules (P/A, 45° dispersion) that see neither mat bending nor soil response. Punch-through and settlement under outriggers are recurrent causes of serious heavy-lift incidents.
What was done
Django web application with a deterministic engine for preliminary mat sizing, plus an Euler–Bernoulli beam solver on a Winkler–Pasternak foundation, with lift-off handling and parametric maps in the (ΠG, Πk) plane. The calculator above is this calculation, running in your browser. [[VERIFY: development time]]
Evidence
Paper 1 of a series of 4 (20 pages, two authors). Solver validation run of 18 Jan 2026: 203 cases, 178 passed every criterion, 25 failed the differential-equation criterion. [[VERIFY: does the run match the current solver?]]
Result
[[VERIFY: use in a real project, number of analyses, mat or over-design savings]]
What was left out
Linear, static, 1D model. No validation against executive design and no certification. Soil parameters depend on field calibration. Research in progress: analytical solution, finite-element verification and effective support length are the next parts.
02

SoundVet · PACS Server

Veterinary imaging · DICOM · cloud
  1. ClinicImaging equipment

    X-ray, ultrasound, CT. Produces the DICOM study.

  2. Clinic · Borealis componentLocal relay with persistent queue

    Receives the study, writes it to an on-disk queue, sends it to the cloud. If the link drops, it waits and retries. Nothing is lost.

  3. Cloud · AWSPACS (Orthanc) and viewer (OHIF)

    Indexing, storage and viewing from anywhere.

  4. Cloud · Borealis componentReporting and operations monitor

    Worklist, report, PDF, e-mails. The monitor shows services, queues, activity and alerts.

  5. VeterinarianReport delivered

    The exam produced at the clinic becomes a signed, accessible report.

2,000+/monthstudies receivedreported by SoundVet, 11/2026
2,000/monthreports issuedreported by SoundVet, 11/2026
Client and sector
SoundVet, veterinary diagnostic imaging, Brazil. [[VERIFY: city and number of clinics served]]
Problem
Exams produced at clinics must reach the cloud and the report over unstable links, without loss and without anyone resending by hand.
What was done
Local Windows relay with on-disk queue, workers, retries, quarantine and heartbeat; cloud PACS with Orthanc and OHIF on AWS; reporting with worklist, PDF and e-mails; operations monitor. [[VERIFY: go-live date and development time]]
Evidence
Viewer and monitor screens below. Cloud demo instance derived from the system, with fictitious data. [[VERIFY: release demo link with a demo user]]
Result
Over 2,000 studies received and 2,000 reports per month. [[VERIFY: loss or delay before and after; time to report]]
What was left out
Orthanc, OHIF and AWS are third-party; Borealis owns integration, relay, reporting, monitor and operations. Report signature is visual, not a digital certificate. AI models are not part of the diagnostic flow.
PACS viewer with a colour CT of a dog skull and a series of radiographs beside it
PACS viewer. Click to enlarge.
Operations monitor with CPU, memory, disk, network, queue and alert indicators
PACS operations monitor. Click to enlarge.
03

Ameristar · content with human approval

AI automation · Instagram and Facebook
  1. CatalogueNew job-site photos in JobTread are read and described by an AI model. The archive becomes a searchable database.
  2. ProposeThree captions with hashtags from trends, history and brand voice. Second review by a model.
  3. IllustrateThree archive photos selected and three AI-generated images.
  4. ApproveProposals arrive on Telegram. The user picks caption and image, asks for another photo or a topic of the day.human decision
  5. PublishAutomatic publishing to Instagram and Facebook through the Meta APIs. Failures go to Telegram.
815photos cataloguedsystem audit, 11 Sep 2026
129proposals generatedsystem audit, 11 Sep 2026
8active n8n workflowssystem audit, 11 Sep 2026
Client and sector
Ameristar, construction and remodeling, USA. [[VERIFY: city and exact segment]]
Problem
Keep a daily presence on Instagram and Facebook from real job sites without consuming the owner's time. [[VERIFY: posting frequency before]]
What was done
Eight n8n workflows with PostgreSQL: photo cataloguing, AI proposals and review, photo selection, image generation, Telegram delivery and approval, publishing through the Meta APIs, error monitor. Lead radar switched on 30 Oct 2026. [[VERIFY: go-live date and development time]]
Evidence
Audited counts above. Gatekeeper workflow below.
Result
[[VERIFY: posts reconciled with Meta, reach, leads, hours saved]]
What was left out
n8n, AI models, fal.ai, JobTread, Telegram and Meta are third-party. Deployment for one client; not a multi-tenant product. Direct-message replies depend on Meta approval and are not in operation.
Gatekeeper workflow in n8n: nodes for receiving messages, photos, approval and publishing
Gatekeeper workflow in n8n, where human approval happens. Click to enlarge.

Lab · other projects

In development or in research. No result to announce.

  • L-01

    AuroraWhatsApp service · in development

    Answers questions from the company's authorized records and hands over to a person whatever needs one. First deployment: a real-estate agency. Production integration awaits approvals.

    record (PT) ↗
  • L-02

    Rocketsimulation and control · educational

    1D flight and automatic-landing simulator guided by energy state, with telemetry and flight events. No validation against real flight.

    record (PT) ↗
  • L-03

    MDZHBAI and shared memory · live

    Public board where AI agents resume work from earlier sessions. Readable as HTML and JSON, no sign-up. No evidence of autonomy or discovery; the experiment is to observe.

    record (PT) ↗

How we work

From problem to operation.

Every project starts with a concrete need and delivery criteria defined together. No generic proposal.

  1. Understand

    Context, users, constraints and the number that hurts.

  2. Model

    The problem becomes a verifiable model, interface or integration.

  3. Verify

    Scenarios, test runs, comparison with what existed before.

  4. Operate

    Deployment, monitoring and follow-up in production.

Contact

Which operation is costing you?

Write with the problem, not with a software request. We answer with questions, not with a proposal.

borealis@borealisdynamics.com

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