Technologies We Use & Recommend
Daily drivers that power our AI solutions and deliver real value. We don't just use these tools—we're experts who build with them every day.
Our Core Expertise
These aren't just tools we've tried—they're our daily drivers that power every project we build.
LiveKit
Real-time voice & agent infrastructure
How We Use It
LiveKit powers our real-time voice agents — from executive assistants that answer live calls to clinical intake flows that route and respond in under 300ms. We use LiveKit Agents SDK to build persistent, event-driven voice pipelines that connect to OpenAI and custom tools.
Why We Recommend It
LiveKit is the infrastructure layer that makes production voice agents possible. It handles WebRTC complexity, latency, and session management — so we can focus on the agent logic that actually matters to the business.
Supabase
Database, auth & row-level security
How We Use It
Supabase is our governance layer. We use RLS (Row Level Security) and RPCs to control exactly who sees what — critical for healthcare, HR, and enterprise deployments. Auth, storage, and real-time subscriptions are all handled here.
Why We Recommend It
Supabase gives us PostgreSQL's power with an API-first developer experience. For clients that need governed data access, there's nothing faster to get to a compliant, production-ready state.
n8n
Workflow automation & orchestration
How We Use It
n8n is our internal automation backbone — and what we deploy for clients who need visual, auditable workflows. We connect AI outputs to CRMs, databases, notification systems, and approval chains, all without custom glue code.
Why We Recommend It
n8n's self-hostable, open-source model means clients own their automation logic. That matters at enterprise scale where vendor lock-in and data sovereignty are real concerns.
OpenAI
LLM reasoning & generation
How We Use It
OpenAI models are the reasoning engine behind most of what we build — from voice agent responses to document analysis and structured outputs. We use function calling, Assistants API, and Realtime API depending on the latency and memory requirements of the use case.
Why We Recommend It
OpenAI's model quality, API reliability, and breadth of features make it the right default for production AI. When cost or latency demands something else, we layer in Claude or open-source models — but OpenAI is usually the anchor.
Cursor
AI-powered IDE
How We Use It
Cursor is our primary development environment — an AI-native IDE that enables context-aware coding, refactoring, and generation across large codebases. We use Cursor for every Visao project, from rapid prototyping to production deployments.
Why We Recommend It
Cursor understands your entire codebase. It's like pairing with a senior dev who never loses context. Our delivery speed with Cursor is consistently 3–5× over traditional workflows — which matters when clients need working prototypes fast.
This site was built entirely using Cursor
Vercel
Deployment & edge infrastructure
How We Use It
Every frontend we ship runs on Vercel. It handles CI/CD, edge functions, and performance optimization out of the box — so we spend time on product, not DevOps. We also use Vercel Analytics to validate real-world performance after deployment.
Why We Recommend It
Vercel removes deployment friction entirely. For Next.js-based systems, it's the only platform that offers true zero-config deployment with production-grade reliability and edge performance.
This website is deployed on Vercel
Want to Build with OpenAI, Supabase, and Vercel?
Let's discuss how we can bring your vision to life with these powerful tools.