Labs demoIn build
Ask Your Docs
A Labs demo of the Knowledge Agent pattern: upload a document set, ask questions, and get answers cited back to the exact source passage.
- Next.js
- TypeScript
- Python
- PostgreSQL
AI agent studio
Your team is doing work an agent should be doing.
Evoxatech maps the process you run by hand, then builds the agent system that runs it — with a human approving every action, deployed on infrastructure you control.
Built by the engineers behind Optivizio and Kreova
100%
human-approved at launch
Every agent proposes. A person approves. Autonomy is a dial you turn up when the numbers earn it.
What we do
Evoxatech is a engineering studio that builds AI agents for small and mid-sized businesses. We start by watching how the work is done by hand, then build the system that does it — with a human in the loop and deployed on infrastructure you control.
Process first
Human in the loop, by default
The reason most companies stall on AI is not cost, it is trust. Every agent we build proposes an action and a person approves it. You start at 100% review and turn autonomy up when your own numbers justify it.
It runs on your infrastructure
Your cloud, your VPS, or a server we manage for you. Open-weight models on vLLM when privacy, data residency or token volume demands it. Your data never has to leave your perimeter.
Product-grade engineering
Eight years of full-stack work and two AI products we built and still operate. You get auth, audit logs, monitoring, rollback and an interface a non-technical operator will actually use.
Process first
We do not sell AI transformation. We sit with the person doing the job, document exactly what they do including the edge cases, and automate that. It is unglamorous, and it is why our builds work where generic tools fail.
The offers
Every offer has a fixed price and an end date.
The arithmetic
One person, fifteen hours a week, on work a machine should be doing.
15 hrs
per week
The time a single person loses to one mechanical workflow — reading, deciding, retyping.
$21,000
per year
What that costs you in loaded salary, spread invisibly across the payroll so nobody sees it.
11 months
to payback
On a $15,000 build removing 80% of it. After that, it keeps paying every year.
Selected work
Proof you can open and click through.
Labs demoIn build
Inbox to Action
A Labs demo of the Workflow Agent pattern: messy customer emails in, structured data out, and a human approval queue in the middle that you can drive yourself.
- Next.js
- TypeScript
- Python
- PostgreSQL
Labs demoIn build
Voice Receptionist
A Labs demo you can talk to. It answers questions about Evoxatech and books a discovery call straight into the calendar.
- Next.js
- TypeScript
- ElevenLabs
- Node.js
How we work
Three stages, and you can stop after any of them.
On the ground
“A person spends fifteen hours a week reading things, deciding, and typing the result somewhere else.”
80%
of the manual workload removed on a typical build
Audit
5 days · $2,000
We map the work, put a number on what it costs, and build a working proof-of-concept on your real data.
Build
3–8 weeks · fixed price
Fixed scope, fixed price, no hourly surprises. You see the approval queue and the audit trail before anything goes live.
Operate
from $3,000/month
Someone owns it after launch. Monitoring, tuning as your data drifts, cost optimisation, and a monthly report you can read.
Objections
The four things everyone asks.
From the blog
Notes taken while building.
agents
August 2026
The approval queue is the product
Most AI automation projects fail on trust, not capability. The interface where a human reviews what the agent proposes is the part that decides whether anyone uses it.
Read moreinfrastructure
July 2026
When self-hosting an open model actually pays
There is a token volume above which running your own model on vLLM is cheaper than an API, and a compliance threshold below which it is the only option. Here is how to work out both.
Read moreFind out what is automatable in five days.
Tell us what work is eating your team’s time. If it is a fit, we will map it, cost it, and show you a working prototype on your own data — and the audit fee comes off the build.