Visibiliti.
AI search visibility and GEO tracking for brands that need to understand how they appear inside ChatGPT, Gemini, Perplexity, Claude, and similar engines.
Visit productCape Town software studio
Custom platforms built by world class engineers.
Brazen Labs designs, builds, and supports the kind of software companies cannot buy off the shelf: customer platforms, campaign systems, RAG assistants, integrations, and data-rich products that move from idea to production.
What we build
Platforms for teams that need more than a template.
We combine 20+ years of software delivery experience with modern AI tooling, .NET, open-source stacks, and pragmatic product thinking.
Product proof
Real platforms, not just concepts.
Our product work spans AI search visibility, till-slip rewards, omnichannel support, FMCG campaign monitoring, and customer-service automation.
SmartSlip™
AI-powered till-slip campaigns that use WhatsApp, OCR, receipt validation, rewards, and analytics to help FMCG brands drive purchase behaviour.
Visit productSwitchboard
A multi-channel platform for customer queries where AI agents and human agents work together across web and WhatsApp channels.
EZDash
Campaign monitoring and assessment tooling for FMCG teams that need to track competitions, entries, progress, and outcomes in one place.
Turbo AI
A RAG assistant platform that lets companies upload their own content and answer customer queries through a website widget or WhatsApp.
Heineken
PepsiCo
Techsys Digital
KFC
Takealot
Investec
Heineken
PepsiCo
Techsys Digital
KFC
Takealot
Investec
How we work
Senior thinking from discovery through production.
We help shape the right system, choose the right stack, and build with enough discipline to support real users, real data, and real operational pressure.
Find the leverage
Clarify the business workflow, technical constraints, and opportunities for AI or automation.
Design the platform
Shape the architecture, data flow, interfaces, and operating model before the build accelerates.
Ship and improve
Deliver usable software, measure the result, and keep refining the system with the team using it.