Companies need AI agents but building them requires deep technical knowledge. Existing platforms are either too simple (no multi-step pipelines, no integrations) or too complex (require ML engineers). There was no middle ground for business users who need production-grade AI agents with proper security and multi-tenant isolation.
Built a full SaaS platform where companies can create, configure, and deploy AI agents without writing code. Each company gets isolated data, their own agent library, and can connect channels like WhatsApp and Slack. The platform handles prompt injection prevention, rate limiting, and document generation automatically.
> Supabase over Firebase — needed Row Level Security for true multi-tenant isolation at the database level, not just application-level checks
> Gemini as primary LLM — best cost-to-quality ratio for high-volume agent workloads, with Claude and OpenAI as fallbacks
> Server-side document generation — Word/PDF/Excel generated on the server to avoid exposing templates and business logic to the client
> Twilio for messaging — single provider for WhatsApp, SMS, and voice with reliable webhook delivery and global coverage
App Router with SSR, shadcn/ui components
144 routes handling agents, pipelines, integrations
62 migrations, RLS policies on every table
Multi-provider with automatic fallback
14 cron jobs, edge caching, DDoS protection
144
routes
62
migrations
14
crons
Visual coming soon