AI & Applied Intelligence
Practical models, agentic workflows, and decision systems designed around the job they need to perform.
- Intelligent workflows
- Model integration
- Evaluation & safeguards
Applied intelligence & engineering
Build what matters.
Prove that it works.
Magneum Co brings intelligence, electronics, mechanical design, and software into one engineering loop—turning ambitious ideas into useful, testable systems.
Integrated systems
Evidence-led
SenseDecideActVerify
One loopFrom exploration to deployment
Cross-domainMechanics, electronics, controls, and software
TestableEvidence before assertion
Capabilities
Engineering across the boundaries that usually slow teams down.
Complex systems rarely fit inside one discipline. Magneum connects the layers so the whole system can move forward coherently.
Automation & Control
Control architecture and automation that turn sensing, logic, and actuation into reliable behavior.
- Control strategy
- State & safety logic
- System integration
Robotics
Integrated robotic systems that connect mechanics, electronics, perception, and software.
- Motion & actuation
- Sensor fusion
- Edge intelligence
Computer Vision
Vision pipelines built to observe the physical world and produce decisions a system can use.
- Detection & tracking
- Image pipelines
- Camera systems
Electrical & Electronic Systems
Electronics and embedded interfaces shaped around real signals, constraints, and operating conditions.
- System architecture
- Embedded interfaces
- Verification planning
Software Systems
Purpose-built software from device-side services to cloud-connected tools and human interfaces.
- Applications & APIs
- Cloud & edge services
- Operational tooling
Mechanical design & MCAD
Give the physical design
a place in the loop.
Mechanical computer-aided design (MCAD) brings shape, fit, and assembly into the engineering process. AiME, our AI-assisted mechanical engineering workspace, connects parametric models with board geometry and assembly checks.
Explore AiME- 01Parametric MCAD
Code-driven models for parts, fixtures, and enclosures.
- 02Electronics meet mechanics
STEP and PCBA intake to carry board geometry into the design.
- 03Check the assembly
Geometry and interference checks before physical fit testing.
Selected Work
Systems made useful—and made testable.
Evidence-backed project briefs show how multidisciplinary engineering becomes a working system.
Active engineering prototype
QD Backup — Critical-Load Battery Backup Platform
A 48 V LiFePO₄ engineering prototype for critical household loads, combining cloud-independent safety control with secure web and mobile monitoring.
EvidenceA loaded wall-power cut kept the witness lamp lit for roughly 75 seconds while the battery handled repeated high-load bursts.
Read project brief
Available on the App Store
YipYap (Language)
An iPhone language-learning app that saves useful words from explicitly connected AI chats to a private My Lexicon for listening and review. Available on the App Store.
EvidenceApple lists iOS version 0.2.6; the separate language plugin has a public v0.3.8 release on GitHub.
Read project brief View YipYap on the App StorePublic guest beta
MediaMonster — Streaming Discovery
A free, guest-first streaming guide for discovering movies and TV across selected services, checking availability, and opening the provider that carries a title.
EvidenceThe public release passed catalog and API-boundary checks; its canonical homepage and public health endpoint were verified online.
Read project briefActive engineering prototype
AiME — AI-assisted Mechanical Design
Conversational mechanical CAD for parts, fixtures, and enclosures, combining parametric models with STEP references, verified PCBA intake, and measured assembly geometry.
EvidenceA live conversational edit changed a parametric part through human approval; STEP/PCBA intake and exact assembly distance/intersection checks are proven.
Read project briefThe engineering loop
Move from ambiguity to evidence.
Good engineering is not a straight line. It is a disciplined loop that makes uncertainty visible, learns quickly, and turns working knowledge into a dependable system.
“Useful” is the target.
“Testable” is the standard.
- 01
Explore
Frame the real problem, operating environment, constraints, and evidence needed to succeed.
- 02
Prototype
Build the smallest meaningful system that can retire risk and sharpen the requirements.
- 03
Verify
Test against reality, document limitations, and let evidence—not optimism—drive the next decision.
- 04
Package
Turn proven work into a system that can be understood, operated, maintained, and extended.
Systems thinking
Built for the seams.
The hardest failures often live between disciplines: a model without the right sensor, a board without the right interface, a controller without the right observability, or software without the operating context.
Magneum works across those seams, keeping decisions connected from the physical signal to the human outcome.
Bring us the hard intersectionWorking principles
Ambitious work. Grounded practice.
Reality is the final test.
A build, simulation, or successful response is evidence—but it is not the whole truth. Verification ends at the real system.
Clarity compounds.
Clear boundaries, decisions, interfaces, and records let a system grow without becoming guesswork.
Integration is a discipline.
Each layer matters, but the value appears when the layers work together as one understandable system.
Start a conversation
Tell us what you’re trying to make real.
A useful first note is short: the outcome you want, what makes it hard, and what would prove it worked.
01You send the context—not a polished specification.
02We read it as an engineering problem, not a sales checkbox.
03If there is a useful next step, we continue by email.
Keep sensitive material out of the first note. Please do not include passwords, access keys, financial details, health information, export-controlled data, or other secrets.
Prefer email? support@magneum.co