A check before a person
A first pass that a reviewer can agree with or reject.
ML Services
Machine learning that sits in a product you can run
We add a model where a product already has a job for it. A first check, a render, a transcript or a draft. A person still reviews the step that needs one.
- The model lives in a product your team or your users already open.
- We have shipped computer vision, avatar video and voice, not a generic model shop.
- Review stays on the decision you mark.
Computer visionVoiceAvatar videoHuman review
What we have actually shipped
A first check
Computer vision for a preliminary authenticity pass in Authenticate Pro.
A video render
Short text becomes an avatar video in Chirps.
A voice task
Call24 and client voice agents that answer, book and hand off.
Choose a starting point
A process review is the usual first step. You can also look at related work or bring a specific workflow.
What we take on
A model in your product
The feature is a screen and a job, not a notebook.
A review step
Several reviewers can vote, as on Authenticate Pro, or a person can approve a draft.
The data the job already has
We use the records and files that path already stores.
A decision not to use a model
If a rule or a person is enough, we say so.
Where the model sits
Media
A short video from text, with the render pipeline behind it.
Calls
Answer, book and log, with a person on the calls you mark.
Agents
A model that drafts or sorts, inside the CRM or inbox you already run.
Tools we build with
The stack behind the systems on this site.
- Next.js
- React
- React Native
- Node.js
- Python
- PostgreSQL
- AWS
- OpenAI
- Vapi
- Twilio
- n8n
- Make
- Zapier
- GoHighLevel
How the work runs
Process review
We sit with how your team works today and pick the workflow that is worth building first.
Design and scope
You get the shape of the product, the systems it touches, and a scope you can agree.
Build and test
We build, test with your people, and keep a human in the loop where the agent decides.
Launch and support
We launch with you and stay for support after the system is in use.
Brown Tech in numbers
Since 2011
in business
1,000+
apps delivered
99%
client satisfaction
10+
billion-dollar companies served
Who we are
Brown Tech has been in business since 2011. We design and build custom software, AI agents and automation for teams that want software built around how they already work.
We start with the system your team needs, connect it to the tools you already use, and add AI where it removes real work.
Why teams choose Brown Tech
- in business
- Since 2011
- apps delivered
- 1,000+
- client satisfaction
- 99%
- billion-dollar companies served
- 10+
Other AI work
- AI Software DevelopmentSoftware with AI in the workflow your team already runs.
- Data Science ConsultingDecide what data a system should keep and what an agent can read.
- Custom AI AgentsAgents that handle real tasks in the tools you already run.
- Big Data ServicesData stores and APIs under the products we ship.
- Fintech AIFinance operations software, with a person on money movement.
- AI ConsultingFind what to build first, what it will cost and what can wait.
Questions about this work
We put a model in a product and agree what it can read. Training a new foundation model is not the work we sell here.
Authenticate Pro uses computer vision and reviewer voting. Chirps renders avatar video. Call24 and the hotel voice receptionist handle calls.
Timing is agreed in the process review, project by project. That review comes before build starts.
Cost is scoped per project after the process review.
Support after launch is part of how we work. The shape of that support is written into the scope.
What the system can read, and who can review it, is agreed in the scope.