Real-time analytics platform processing millions of events per second with interactive dashboards and instant insights.
Case study
Real-time analytics platform processing millions of events per second with interactive dashboards and instant insights.
Custom engagements covering discovery, development, and go-live enablement across Web3, AI, and full-stack technologies.
Per sprint
Always included
Post-launch help
Discovery
Map requirements, success metrics, and risks
Build
Sprint-based implementation with weekly demos
Launch
Monitoring, docs, and warranty window
Technical implementation and architecture overview
Collaborative sessions to map scope, pick success metrics, and define the delivery cadence.
Two-week sprints with demos, docs, and async updates visible to the whole team.
Handover docs, playbooks, and support windows so there is no cliff after deployment.
Web3, AI, Systems, Web. End-to-end. One person. From idea to deployed.
Yes. Architecture, stack selection, code reviews. Hourly or contract. Get unstuck fast.
Fast. I focus on going live. Less bureaucracy, more shipping. Let's discuss timeline.
Yes. Frontend, backend, infrastructure, deployment. Complete systems. End-to-end.