We design, build, and support custom AI systems that answer customers, work your leads, move your data, and clear the busywork. One of ours made ~2,500 calls in its first week live and booked 12% into appointments.
Systems shipped for teams at
Raveum
XMode
Junzi Dev
Zyos Group
Nexus Acquisition Group
Builder Buddy
RaveumXModeJunzi DevZyos GroupNexus Acquisition GroupBuilder BuddyWhat we build
AI apps
Full applications on your data, your integrations, your rules.
AI operating systems
Agents, automations, and data running as one system for your whole operation.
Voice agents
Inbound and outbound calls: answered, qualified, booked, logged.
Chat & social agents
DM agents that read images, hear voice notes, remember the whole thread, and hand off to a human at the right moment.
Workflow automation
Pipelines across your CRM, calendar, sheets, and databases. They run on schedule, not on memory.
Integrations & data
MCP servers, APIs, webhooks. The plumbing that makes everything else reliable.
Not sure what you need?
Tell us the problem. We'll tell you — honestly — whether AI is the right tool.
Start a projectIntegrations for building AI agents
Plugged into your own stack — not replacing it.
CRMs, calendars, sheets, phone systems, databases, models. Most builds live inside the tools you already run — and connect to whatever else the job needs.
- Retell
- GHL
- Vapi
Real systems. Not chat wrappers.
Replies like a person.
Human-paced chunks, never one wall of text. Images read, voice notes heard, the whole thread remembered.
You stay in control.
Prices, promos, service areas, and booking links sit in sheets your team edits. Changes go live without a deploy.
Runs where you decide.
It's your system, not a subscription to ours.
- ✓Your accounts, your infrastructure, your data
- ✓Everything logged — intent, transcript, summary, outcome
- ✓Scoped in writing, like everything else
Watch real systems work
Most of our work ships privately. These three we can show end to end.
Demos are easy. Production is hard.
Specified in writing
Scope fixed on paper before we build. You know exactly what you're buying.
Verified in production
"Done" means live calls, live messages, live data. Not a staged run.
Supported after launch
Models change. APIs change. Most clients keep us on — we keep systems sharp.
How a project runs
01
Intro call
Tell us the problem. If AI isn't the right tool, we'll say so.
02
Written spec
Scope, architecture, acceptance criteria. On paper first.
03
Build
Working demos every week. You watch the system do the job.
04
Deploy & verify
Verified against real production behavior.
05
Support
Systems drift. We keep them sharp.
Specified like software. Verified in production.
- ✓Written spec first — scope, architecture, acceptance criteria on paper before anything is built.
- ✓Working demos, not status reports — you watch the system do the job, every week.
- ✓Verified live — real calls, real messages, real data — not a staged run.
- ✓Supported after launch — models drift, APIs change — most clients keep us on.
The details most agencies skip
All shipped in production. None of it theory.
Replies like a person
Human-paced message chunks. Never one wall of text.
Stores only what matters
Useful state, not every message. Fast and cheap at scale.
Reads only what it needs
Minimum context per reply. Lower latency, lower token cost.
Never overloads the line
Concurrency checked before every call. At the limit: wait, retry.
You stay in control
Prices, promos, service areas live in sheets your team edits.
Everything is logged
Intent, transcript, summary, outcome. If it happened, you can query it.
Who's behind it
A senior team of engineers and builders. Systems shipped for more than fifty companies across real estate, healthcare, home services, finance, and software.
We work in writing. The spec comes first, we build against it, and we verify in production.
We stay after launch. Most clients keep us on.
What clients say
Autogentive was an exceptional partner throughout our AI automation project — incredibly detailed, highly experienced, and among the strongest communicators we’ve worked with. The team took the time to truly understand the problem, proposed a clear and scalable structure, and brought real ownership to the work. It felt less like hiring a contractor and more like gaining a true partner. We highly recommend the Autogentive team for complex AI and automation projects.
They truly understood our use case, business needs, and customers — and came up with a solution that we love. They didn’t shy away from feedback and iterated until we were happy.
Extremely patient, informative, and professional. Completed on time and stayed accessible even after the contract ended. I would hire them again.
Very professional, responsive, and delivered great work.
They know what they’re doing — they go beyond the brief and get the work done. We’d work with Autogentive again.
Five-star review.
- Committed to Quality
- Solution Oriented
- Accountable for Outcomes
Numbers, not promises.
- ~2,500
- calls placed in week one · one outbound agent
- 30%
- of those calls picked up
- 12%
- booked into appointments
- 50+
- companies we've built for
All figures from production systems. Watch them below.
Common questions
How long does a build take?
Scope decides. You get a written estimate with the spec, and the spec is where every project starts.
Who owns the system?
You do. Your accounts, your infrastructure, your data.
Can you work inside our existing tools?
Yes. CRMs, calendars, sheets, phone systems, databases. Most builds live inside your stack, not instead of it.
What kinds of businesses do you work with?
Any team with a process worth automating: real estate, home services, healthcare, finance, software, and beyond.
What does support cover?
Monitoring, model and prompt updates, integration fixes, new capabilities. Scoped in writing, like everything else.
Tell us what you want to build.
We’ll reply within one business day with an honest read on scope and feasibility.
“Very professional, responsive, and delivered great work.”— Ben Taylor · Nexiserve