4 studies
Client Case Studies
Real projects we have delivered, anonymised at the client's request, with figures as measured on the engagement.
Inside
Who it's for
Teams choosing a delivery partner and wanting to see measured, delivered work.
Case Studies
Case Studies
Anonymised client engagements, industry evidence reports and representative engagements that show how we approach practical, secure AI — and the outcomes it delivers.
LatestEvidence report
AI in Mining: Critical Minerals, Robotics and Intelligent Infrastructure
An industry report by Algorythmos and MBSC Australia on how AI, engineering expertise and connected infrastructure can support Australian mining.
· With MBSC Australia
Read the latestBrowse by category
5 studies
Industry Case Studies
Representative engagements showing how we approach common problems in an industry. Figures are illustrative, not audited client results.
Inside
- Satellite & Network Operations – Link Health Monitoring
- Financial Services – Compliance Automation
- Manufacturing – Document Intelligence
- Healthcare – MLOps Platform Engineering
+ 1 more
Who it's for
Leaders scoping where AI could fit in their sector, and what it would take.
7 studies
Research & Evidence Reports
Independent analysis built from cited public sources. We have not been engaged by the organisations these reports discuss.
Inside
- AI in Mining: Critical Minerals, Robotics and Intelligent Infrastructure
- The 4F² DRAM Cell: Redesigning Memory for AI
- Infrastructure – From Vibrations to Photons
- Technology – AI, Robotics, Space and Bitcoin
+ 3 more
Who it's for
Technologists, researchers, media and decision-makers who want the evidence and the sources.
Client engagements are real projects, anonymised at the client's request, with figures as measured. Representative engagements show illustrative figures, not audited client results. Evidence reports cite their public sources.
No case studies match these filters.
Client Case Studies (4)
Real projects we have delivered, anonymised at the client's request, with figures as measured on the engagement.
No matches in this section.
- Client engagement
Healthcare – Clinical Document AI and LLMOps
- Challenge:
- Clinicians spent hours reading specialist reports, referral letters and patient records by hand.
- Result:
- About 70% less document review time, with structured summaries clinicians can trust.
Read the case study - Client engagement
Professional Services – AI Platform Engineering
- Challenge:
- Several AI prototypes, but every deployment was manual and no two environments matched.
- Result:
- Deployment time cut from days to minutes, on one standard workflow.
Read the case study - Client engagement
Logistics – Model Monitoring and Observability
- Challenge:
- AI models ran in production with no monitoring, so problems surfaced only when operations felt them.
- Result:
- Real-time visibility into model performance, faster issue detection and less AI downtime.
Read the case study - Client engagement
Retail – Data and Feature Management
- Challenge:
- Business data was scattered across spreadsheets and operational systems, and every report was built by hand.
- Result:
- 80% less reporting time and a single source of truth for the business.
Read the case study
Industry Case Studies (5)
Representative engagements showing how we approach common problems in an industry. Figures are illustrative, not audited client results.
No matches in this section.
- Representative engagement
Satellite & Network Operations – Link Health Monitoring
- Challenge:
- An operator sees a link fail only after traffic has dropped, with telemetry spread across separate tools.
- Result:
- A representative design: what we would build, in what order, and how we would prove it before it is trusted.
Read the case study - Representative engagement
Financial Services – Compliance Automation
- Challenge:
- Regulatory reports were assembled by hand from core systems — slow, costly, and error-prone.
- Result:
- Reporting cut from days to minutes, 99% accuracy, 40% lower cost.
Read the case study - Representative engagement
Manufacturing – Document Intelligence
- Challenge:
- Supplier invoices arrived in inconsistent formats and were keyed in by hand, creating backlogs and errors.
- Result:
- 50% less manual effort, 30% better data accuracy, 2× faster invoice cycle.
Read the case study - Representative engagement
Healthcare – MLOps Platform Engineering
- Challenge:
- Healthcare ML models stalled on the way from prototype to production.
- Result:
- 60% faster deployments, 50% fewer failures, a fully traceable model lifecycle.
Read the case study - Representative engagement
Retail – SQL Dashboards
- Challenge:
- Retail leaders had no unified view of demand across regions.
- Result:
- 15% revenue uplift, faster planning cycles, consistent multi-region metrics.
Read the case study
Research & Evidence Reports (7)
Independent analysis built from cited public sources. We have not been engaged by the organisations these reports discuss.
No matches in this section.
- Evidence report
AI in Mining: Critical Minerals, Robotics and Intelligent Infrastructure
- Challenge:
- Mining produces large volumes of geological, engineering and equipment data, often spread across systems and sites far from specialists.
- Result:
- A phased path from a defined problem to measured value, with professional review at every step. No deployments or results are claimed.
· With MBSC AustraliaRead the report - Evidence report
The 4F² DRAM Cell: Redesigning Memory for AI
- Challenge:
- A smaller memory cell was reported as 50% more memory. The geometry is real; the product claim has no published evidence yet.
- Result:
- 39 sources, with every claim labelled: physics, arithmetic, demonstrated, company-reported, reported plan or not established.
Read the report - Evidence report
Infrastructure – From Vibrations to Photons
- Challenge:
- Satellite lasers and data centres in orbit are reported as if fibre were finished, with little on how a signal actually travels.
- Result:
- Checked 15 common claims against 17 primary sources and sorted each one: established, deployed, demonstrated, company-reported or thought experiment.
Read the report - Evidence report
Technology – AI, Robotics, Space and Bitcoin
- Challenge:
- Four technologies are usually analysed apart, with figures that are repeated more often than they are checked.
- Result:
- Checked 15 popular claims against 33 cited sources and explained the core algorithms in five step-through diagrams.
Read the report - Evidence report
Logistics & Ports – AI and ML at Port Botany
- Challenge:
- Sydney's container port moves 2.8 million TEU a year through a congested, paper-heavy landside chain.
- Result:
- Sized a $49M-a-year empty-container problem and mapped four AI capabilities to it.
Read the report - Evidence report
Administrative Burden: Verified Evidence
- Challenge:
- Boards won't act on anecdote — the case for reform needs citable, primary-source evidence.
- Result:
- Roughly $261M in legal liability and a $5.4B opportunity — a legal-grade case for change.
Read the report - Evidence report
Healthcare – Documentation Burden Analysis
- Challenge:
- Australian clinicians spend nearly as much time documenting care as delivering it.
- Result:
- Sized roughly $2B in annual inefficiency and ranked the highest-leverage AI targets.
Read the report
Facing a similar problem?
Book a free discovery call. We'll talk through your situation and whether AI is the right tool for it.