Case study · Cadents Inc.
From code audit to a working first version in 6 months
From code audit to a working first version (MVP) on Cadents’ own infrastructure in 6 months. We built the core intelligence, backend and web app behind CadentsIQ, so IT teams can see and fix infrastructure risk sooner.
Reviewed by Usman Nadeem, Founder and CEO
- Client
- Cadents Inc.
- Industry
- Cybersecurity and IT asset management
- Service
- Connected Systems
- Engagement
- Development Pod
- Started with
- Code and Architecture Audit
Quick answer
What is the Cadents Inc. case study?
From code audit to a working first version (MVP) on Cadents’ own infrastructure in 6 months. We built the core intelligence, backend and web app behind CadentsIQ, so IT teams can see and fix infrastructure risk sooner.
Cadents Inc. works in Cybersecurity and IT asset management. Service: Connected Systems. Engagement: Development Pod. Started with: Code and Architecture Audit.
The challenge
What they needed
Security advisories, vulnerabilities and end-of-life data arrive from many vendors in many formats. Cadents needed it all matched to each customer’s IT assets, with customer data isolated and an interface simple enough to act on. Cadents needed one reliable view, so IT teams could see and fix risk sooner.
The result
What changed
- A full working first version (MVP) deployed on Cadents’ own infrastructure in 6 months, during a complete rewrite
- IT and security teams see affected systems and prioritize fixes
- Maintenance and upgrades are planned before issues disrupt operations
- Senior-led Development Pod delivering against critical release dates
What we built
How we solved it
Asset and vulnerability intelligence
Workflows that match IT inventories to advisories, vulnerabilities and lifecycle data.
Risk scoring and AI verification
Configuration-aware scoring, with AI findings checked against trusted sources.
Multi-tenant architecture
Enterprise customer data kept securely separate.
Automated testing
Quality checks that catch defects and prevent regressions.
The full story
In detail
About Cadents and CadentsIQ
CadentsIQ brings together IT asset information, vulnerability intelligence and hardware and software lifecycle data. IT and security teams use it to see which systems are affected by a risk, decide what to fix first, and plan maintenance and upgrades before problems disrupt the business.
Starting with a code audit
Cadents engaged MatrixTribe as its primary development partner in early 2026. Our team came in knowing little about the application, so we began with a code audit, then moved into feature development with daily updates and detailed design specifications.
Matching vendor data to real assets
Security advisories, known vulnerabilities and end-of-life and end-of-support notices arrive from many vendors in different formats. We built the workflows that connect all of it to each organization’s actual IT inventory, and continue to extend vendor integrations and AI-assisted lifecycle analysis.
Risk scores, checked by AI
Our engineers built risk scoring that reflects each asset’s actual configuration, so the same vulnerability can rank differently on different machines. AI verification checks findings against trusted security sources, and digital twin simulations test fixes before anyone applies them.
Built for enterprise customers
The web application keeps each enterprise customer’s data separate in a multi-tenant design, and automated testing catches defects and prevents regressions as the platform grows.
A working first version on Cadents’ own infrastructure in 6 months
Working as a senior-led Development Pod, the team rewrote the application and delivered a working first version running on Cadents’ own infrastructure within 6 months.
Facing something similar?
★★★★★
“Cadents engaged MatrixTribe as our primary software development partner in early 2026. They came in with little knowledge of our application and quickly got up to speed, first conducting a code audit before transitioning to feature development. The team is hardworking, dedicated, and communicates well, providing daily updates and detailed design specifications. Their use of AI-assisted coding is well balanced and has increased their productivity in meeting critical release dates. I have been very pleased with the level of engagement and professionalism of the MatrixTribe team.”
Julie CaseCEO, Cadents Inc
Technology used
- Python
- FastAPI
- PostgreSQL
- Next.js
- React
- TypeScript
- Docker
- Redis
Ways to start
Start where it suits you
A free check, a fixed-price assessment, or a conversation. Every step is useful on its own.
Step 1 · Free, 5 minutes
AI Readiness Scorecard
See how ready you are for AI, and your top three next steps.
Start free →Step 2 · Fixed price, from $2,500 USD
Code and Architecture Audit
A senior-led review with a plan to fix, finish or modernize.
See what’s included →Step 3 · Free, 30 minutes
Free consultation
Talk through your goals and get honest advice on the best next step.
Book a free consultation →FAQ
About the Cadents Inc. project
What did Cadents Inc. need?
Security advisories, vulnerabilities and end-of-life data arrive from many vendors in many formats. Cadents needed it all matched to each customer’s IT assets, with customer data isolated and an interface simple enough to act on. Cadents needed one reliable view, so IT teams could see and fix risk sooner.
What changed after the work?
A full working first version (MVP) was deployed on Cadents’ own infrastructure in 6 months, during a complete rewrite. IT and security teams now see affected systems and prioritize fixes. Maintenance and upgrades are planned before issues disrupt operations. A senior-led Development Pod delivered against critical release dates.
What did MatrixTribe build?
We built the core intelligence, backend and web app behind CadentsIQ. Workflows match IT inventories to advisories, vulnerabilities and lifecycle data. Risk scoring is configuration-aware, and AI findings are checked against trusted sources. The platform keeps enterprise customer data securely separate, with automated tests that catch defects.