Hey PH community! Sharing what we're building at Phinite.
The problem: 95% of enterprise AI agent pilots never reach production. Not because the AI doesn't work, but because the infrastructure underneath breaks. Integration plumbing, compliance gaps, zero observability into agent decisions, and no coordination between agents.
I ve been spending a lot of time on Discord and Reddit helping people who are trying to add AI chat to their no/low-code apps.
What keeps coming up is that the setup is way more fragile than it looks.
It s usually not the model itself it s everything around it: conversation state, memory, retries, edge cases. Vibe-coding works for demos, but once people try to ship something real, things start breaking.
Phinite.ai - We're in beta but already helping teams automate their AI agent deployments.
What it does day-to-day:
Takes the DevOps hell out of running AI agents in production. Instead of manually monitoring agents, debugging silent failures, and scrambling when things break at 3am, it handles:
We just wrapped the Orbit Awards for AI Dictation and now we re moving to the next category: AI Automation.
This one is for the tools that actually do work for you clearing chores, running workflows in the background, or quietly taking over a chunk of your week without turning into another dashboard you have to babysit.
We're solving why 95% of enterprise AI pilots fail before production turning fragmented infrastructure and compliance nightmares into production-ready systems that scale. Building multi-agent systems for Enterprise. The developer-first orchestration platform.
