Your AI platform development partner,
on every major stack
We build voice AI on Vapi, LiveKit, and Retell, workflows on n8n, Make.com, and GoFlow, and agent infrastructure on MCP. We recommend the one that fits your volume, compliance needs, and team. Fixed scope. Ships in 2–4 weeks.
Voice AI
Voice AI Platforms
Vapi, LiveKit, and Retell each excel in different scenarios. We choose the right one based on your volume, compliance needs, and team's technical depth.
Vapi Development
Custom inbound receptionists, outbound SDRs, and appointment setters. BYOK economics at $0.23–0.33/min. Best for developer-led teams.
LiveKit Development
Multi-agent voice pipelines, SIP telephony, and OpenAI Realtime API. Sub-300ms latency. Beats every managed platform above 10k min/month.
Retell AI Development
Visual flow editor with HIPAA-compliant architecture for regulated industries. State machine model for auditable conversation paths.
Automation
Workflow Automation Platforms
n8n for developer control and data sovereignty. Make.com for fast, no-code team workflows. GoFlow for B2B and EDI. We build on all three and migrate between them when you need to.
n8n Automation
Self-hosted or cloud workflows with custom JavaScript nodes, AI-native LLM pipelines, and MCP server integration. No per-execution pricing.
Make.com Automation
2,000+ native integrations for sales, marketing, and operations teams. Visual scenario builder. We also migrate from Make to n8n when you outgrow it.
GoFlow Automation
B2B integration on GoFlow: EDIFACT EDI, AS2 file transfer, partner onboarding, and supply chain automation. Fixed scope in 3 to 6 weeks.
MCP
Model Context Protocol
MCP is becoming the governance layer for enterprise AI. We design the architecture that lets your agents operate safely at scale.
MCP Consulting
Model Context Protocol as organisational infrastructure: tool registry design, IAM integration, audit logging, and compliance frameworks for regulated industries.
MCP Server Development
Custom MCP servers that give your AI agents access to CRM, databases, Jira, and internal docs, with RBAC, OAuth, and audit logging.
How we pick
How we choose a platform, with the trade-offs
There's no best platform, only the right one for your volume, compliance needs, and team. These are the rules we use on scoping calls. If your situation breaks one of them, we'll tell you why.
Voice AI
Retell by default, Vapi for API control, LiveKit at scale
For most teams we start on Retell AI. It's faster to ship, the HIPAA BAA is included, and the visual flow editor means your team can adjust call paths without us. We move to Vapi when an engineering-led team wants full API control, custom SIP, or bring-your-own-key model pricing. LiveKit makes sense once you pass roughly 50k minutes a month, or your bill crosses $3,000–5,000, and you have engineers who can run the infrastructure. It's also the pick when you need voice and video in one place or self-hosted data.
Workflow automation
n8n for AI and volume, Make.com for speed, GoFlow for EDI
n8n is our default for AI-heavy workflows. It has a native agent node, custom code, self-hosting, and per-execution pricing that stays cheap past 50k executions a month. Make.com is the better fit when a non-technical sales or ops team needs to own the workflows themselves, and its 2,000+ integrations cover almost anything. GoFlow is a different category: B2B integration with EDIFACT EDI, AS2 file transfer, and trading partner onboarding. If you've outgrown Make, we'll migrate you to n8n.
MCP
MCP when agents need your internal systems
If your AI agents only call a couple of public APIs, you don't need MCP yet. Once they need your CRM, databases, Jira, or internal docs, a Model Context Protocol layer gives you one place to manage access, authentication, and audit logs. We build the servers, and for regulated teams we design the governance around them: tool registries, IAM integration, and compliance controls.
Want the full cost math? Read Vapi vs Retell, LiveKit vs Vapi, LiveKit vs Retell, and n8n vs Make vs Zapier.
Platforms and services
Which service each platform powers
A platform is a means, not the project. You come to us for a working receptionist, a faster claims process, or an agent that can act on your data. The platform is how we get there. That's also why we keep builds portable: prompts, flows, and integrations are documented so you can switch platforms later without starting over.
How an engagement runs
Platform build timelines
Every platform engagement starts with a free 30-minute scoping call and a fixed quote. Then we build a proof of concept on your real data in 2–4 weeks, and you decide whether to take it to production. Here's how long production builds usually take on each platform.
FAQ
AI platform development questions
Which AI platforms does Hestur AI build on?
We build voice AI on Vapi, LiveKit, and Retell AI, workflow automation on n8n, Make.com, and GoFlow, and agent infrastructure on the Model Context Protocol (MCP). We recommend the platform that fits your volume, compliance needs, and team, and we'll tell you when a simpler tool will do.
How do you choose between Vapi, Retell, and LiveKit?
Retell is our default for most teams: it ships fastest, includes a HIPAA BAA, and has a visual flow editor. Vapi fits engineering-led teams that want full API control or custom SIP. LiveKit wins on cost above roughly 50k minutes a month, or once your monthly bill crosses $3,000–5,000, if you have engineers to run the infrastructure.
Should we use n8n or Make.com?
Use n8n if you're building AI agent workflows, running more than 50k executions a month, or need self-hosting for data sovereignty. Use Make.com if a non-technical team needs to own the workflows and you want 2,000+ ready-made integrations. We build on both and migrate from Make to n8n when you outgrow it.
How long does a platform build take?
Vapi and Retell voice agents typically go live in 2–3 weeks, and a LiveKit pipeline in about 3 weeks. Simple n8n workflows take 1–2 weeks and complex ones 4–8. GoFlow B2B integrations take 3–6 weeks, and production MCP servers take 4–8 weeks.
Can you migrate us from one platform to another?
Yes. The most common moves are Make.com to n8n when execution costs climb, and Vapi or Retell to LiveKit when call volume makes self-hosting cheaper. We scope the migration as a fixed project and rebuild your flows and integrations on the new platform.
Do we need MCP?
Not always. If your AI agents only call one or two external APIs, direct integrations are simpler. MCP pays off once agents need access to several internal systems, like your CRM, databases, and ticketing, and you need one place to control permissions and keep an audit trail.
Not sure which platform fits?
We do a free 30-minute scoping call, recommend the right stack, and deliver a working PoC in 2–4 weeks. No risk to you.
Book a Free PoC