AI case studies
Built, Deployed, Running.
Real architectures. Named architects. Reference calls on request.
Browse 45+ production engagements across 12 industries, with the numbers each system shipped.
Your industry might not be in the six
Don’t see your industry? We publish what we ship, not what we promise.
Plenty of our work never reaches this page. Tell us what you are scoping. Within 24 hours we will tell you whether we have solved something similar.
12 shipped engagements across 22 industries.
A multi-brand European restaurant group was reconciling delivery platform payouts by hand, across hundreds of invoices arriving every billing cycle. Brainy Neurals built an automation pipeline that signs in, downloads every invoice, extracts the figures, and writes the reconciliation sheets. The finance team now reviews finished spreadsheets instead of assembling them.
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A US industrial group needed real-time computer vision across manufacturing and warehouse cameras without a vendor behind every single deployment. Brainy Neurals built a no-code computer vision platform that site teams operate themselves, from camera stream to live alert. New use cases now go live in days, not months.
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A US industrial device manufacturer needed real-time object detection on its camera-equipped hardware without streaming every frame to the cloud.
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An Indian smart-city authority policed traffic violations with manual patrols, and hand-written challans full of errors kept turning into disputes.
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A European land development consultancy was interpreting site plans by hand to identify plots, measure boundaries, and verify construction offsets.
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40–60% less supervision
A medical evidence synthesis team was extracting outcomes from research papers by hand. Brainy Neurals built an AI paper analyzer to take on that load. The system extracts each outcome with its statistics and runs ten bias and certainty checks before a researcher approves it.
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40–60% less supervision
A US sports technology company needed professional-grade golf swing analysis without motion capture hardware or coaches spending forty-five minutes per video. Brainy Neurals built a computer vision engine that measures each swing from two phone videos and writes the report.
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40–60% less supervision
A European national rail network’s electrification maintenance division measured contact wire height and stagger manually under live overhead wire. Brainy Neurals built a train-mounted stereo camera system that measures five geometry parameters as the train runs. Every reading is tagged to a mast and checked against tolerance on the live feed.
- 40–60% reduction in supervision effort
- Deviation flags weeks before billing disputes
- Floor-wise dashboards and PDF engineering reports, rolled out across multiple sites with reduced rework
10–20x coverage
A US-licensed gastroenterology practice needed patients to follow strict medical diets — celiac disease, Crohn’s, IBS, cirrhosis — without calling the front desk over every meal. We built a Flutter app whose 13 AI modules all run through one GPT-4o mini engine, with every response filtered through the patient’s diagnosed condition, physician-approved diet plan, dietary preference, and allergies. Rule-based prompt templates enforce those constraints; the model never answers outside them.
- 10–20x inspection coverage vs walking patrols
- 50% targeted pantograph wear reduction
- Manual walking inspections eliminated, no linemen on masts
How an engagement becomes a case study.
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01
Scope
A 30-minute architecture call, a written scoping summary, and a fixed-cost POC proposal. NDA available before the first call.
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02
Build
A POC sprint on representative data. It ends with a working demo and a written go or no-go decision.
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03
Ship
Production build, integration with your systems, deployment on your infrastructure, runbook and handoff.
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04
Measure
Monitoring, drift detection, quarterly model refresh. Metrics tracked where they matter, in production.
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05
Publish
A case goes public only with client sign-off and a metric that held. Most engagements stay private.
Engagements that don’t follow this path: staff augmentation engagements (where we embed engineers into the client’s team and the client owns the architecture) follow a different model. Those engagements aren’t represented in the case studies above because the architecture isn’t ours to publish.
How our case studies compare to typical vendor portfolios.
Most enterprise AI vendors publish case studies that look the same: a client logo, a problem sentence, an outcome metric, and a quote. The table below uses the evaluation criteria that actually matter when a CTO is deciding whom to trust with a real production engagement.
| Evaluation criterion | Brainy NeuralsCase studies | Typical generalist vendorPortfolio |
|---|---|---|
| Architectural depth disclosed | Component diagram, technology choices, and trade-off log included in every detail page. Reference architecture PDFs available for the most-used patterns. | Outcome metric only. Architecture occasionally summarized at a marketing level. Detailed component diagrams rarely available. |
| Named architect attribution | Every detail page names the architect who led the engagement, with credentials and a LinkedIn link. Buyer can verify the architect still works here. | Generic ‘our team delivered’ attribution. Named individuals (if any) are senior salespeople, not the engineers who built the work. |
| Trade-offs and failure modes documented | Each detail page includes a ‘what we considered and rejected’ section, plus the failure modes the architecture engineers for. | Trade-offs treated as proprietary or simply not discussed. Failure modes rarely acknowledged. |
| Reference call availability | Reference calls available on request for every detailed case study, mediated by us. Clients have agreed to take the call at engagement signing. | References promised but rarely delivered. Calls often facilitated only at proposal stage and only with the client’s marketing contact. |
| Publication standard transparency | Three explicit conditions for publication (client sign-off, reusable pattern, verifiable metrics) — disclosed in the editor’s note on this page. | Publication criteria not disclosed. Case studies appear to be cherry-picked from the most flattering engagements. |
A note from the founder
Why we don’t publish every engagement we ship.
Most case study pages are sales documents pretending to be portfolios. I want to be straight about how this one is curated.
We have shipped every engagement listed here. You see 45 cards because that is what we can publish honestly today: real industry, real capability, real number, real stack. Client names are withheld wherever an NDA requires it, and in banking and healthcare it usually does.
A full public write-up goes out only when the client signs off on attribution and the metric still holds in production. That rule keeps the count lower than our marketing team would like. I consider that a feature.
If you are comparing us against larger generalist firms, ask one question: do the people who built the case studies still work there, and can you talk to them directly? Here the answer is yes. The architect on the call is the architect on the project.
Frequently asked questions.
FAQ-01Do you have case studies in my industry?
FAQ-02Can I get reference calls with your clients?
FAQ-03Why are most engagements anonymized?
FAQ-04What separates a case study from an engagement?
FAQ-05Can I see actual architecture diagrams and code?
FAQ-06How recent are these case studies?
FAQ-07Did you only publish your best work?
FAQ-08How does my engagement become a case study?
FAQ-09Why do most cards expand instead of opening a page?
Related resources.
Services hub
11 specialized AI development services, each with case examples.
Blog & insights
Engineering deep-dives and architecture pattern explainers.
About Brainy Neurals
The team behind the work and the certifications that back it.
Founder profile · Mitesh Patel
NVIDIA Certified AI Architect. The architect who leads the engagements above.
Talk to the architect
Ready to talk about your specific architecture?
Skip the discovery questionnaire. Book a 30-minute call with Mitesh Patel directly. Bring a brief, a question, or just a problem you’re scoping. You’ll leave with a clear sense of whether we’re the right fit.
No sales reps · No prep needed · Full NDA on request