Application Surfaces
The surfaces where your team finds answers and gets work done keep changing — legacy apps to web and mobile, then Slack and Teams, now Claude, Gemini, and whatever comes next. We build the agents, data apps, Slack apps, and portals on the same frameworks behind our OpSage and government platforms, with expert oversight and security built in from the start.
faster development after a cloud-native rebuild · Research Hive
lower infrastructure cost · Research Hive
staff time saved by a custom study-audit tool · Research Hive
Vue + serverless customer portal for a global logistics provider
Work we have delivered
CONVX turns AI projects into enterprise AI solutions. Selecting the model is the easy part; the hard part is everything wrapped around it to make it enterprise-ready — what the field calls the harness. That means multi-model orchestration, context management, tool and system integration, security and governance, and governed access to your proprietary data, ML, and analytics, all hosted and operated as a dependable application. It is built and run by expert developers, data scientists, and engineers from the same delivery bench behind our OpSage and government platforms — and, as models and token economics keep shifting, we manage the orchestration and the token cost so the solution stays fast, governed, and affordable.
For a healthcare-research SaaS provider, we took over application development from a competitor and rebuilt a legacy PHP product as a cloud-native, containerized application with fully automated CI/CD and shift-left security. Development cycles accelerated 110% and infrastructure cost dropped 55%. We then extended the codebase into a white-label offering and built a serverless referral platform that spins up a branded site for any study with a configuration change.
For a global logistics provider, we built a next-generation customer portal on Vue and serverless Azure with single sign-on, giving their supply-chain analytics customers a seamless, secure experience. Across engagements we modernize legacy applications, stand up DevSecOps pipelines with automated linting and real-time security checks, and build the data apps and workspace applications teams actually work in.
Most work is delivered under NDA and shown anonymized. Named stories are used only where the client has cleared it.
What we do
- Enterprise AI: the harness — multi-model orchestration and context management
- Tool and system integration over governed data, ML, and analytics
- AI hosting, security, governance, and token-cost management
- Cloud-native application development
- Legacy application modernization
- SaaS and white-label products
- Data apps, portals, and dashboards
- AI agents and workspace apps (Slack, Teams)
- DevSecOps and CI/CD automation
- Native and cross-platform mobile
Technologies
Common questions
- What kinds of applications does CONVX build?
- AI agents and workspace apps for Slack and Teams, data apps and dashboards, customer portals, SaaS and white-label products, and native or cross-platform mobile. We also modernize legacy applications into cloud-native architectures with automated CI/CD.
- How does CONVX make AI applications enterprise-ready?
- The model is the easy part; we build the harness around it: multi-model orchestration, context management, tool and system integration, security and governance, and governed access to your proprietary data and analytics, operated as a dependable hosted application with managed token cost.
- Can CONVX take over an existing application from another team?
- Yes. For a healthcare-research SaaS provider we took over a legacy PHP product from a competitor and rebuilt it cloud-native with automated CI/CD, accelerating development cycles 110% and cutting infrastructure cost 55%.
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