A new product
The first store, written with the screens, not after them.
Big Data Services
The data layer under a product your team can run
The useful work is a store a product can trust: services, APIs and the tables behind a booking, a lead or a clinic record. That is the data work we do.
- PostgreSQL, APIs and the services behind the products on this site.
- MasterleadsAI is an example of backend work under an AI product. That case has no mockup on this page.
- We do not claim a Hadoop or warehouse practice we have not shipped here.
PostgreSQLAPIsServicesProduct data
What this work is
A database the product relies on
Tables and services for the jobs the product already runs.
APIs other tools can call
The CRM, the inbox and the app read and write the same record.
Ready for an agent
An agent can only act on data that is already in a reliable store.
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 build
Services and APIs
The same backend work we did for products like MasterleadsAI, Heal Private and Mekomera.
PostgreSQL and the jobs around it
The database, the migrations and the queries the product needs.
Hosting on AWS
The same cloud we already use on this site's stack.
A map before a move
If the store has to change, that starts as a readiness review.
Where the data layer sits
An AI feature
The records an agent or a model is allowed to read.
A second system
Two products that must share a booking, a lead or a patient record.
A cleanup
A store that grew with the MVP and now blocks the next change.
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.
- ML ServicesModels inside a product we know how to ship.
- 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.
- 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
No. We build the store and the APIs under a product. A warehouse project would be scoped only if that is the actual job.
PostgreSQL and API work under products on this site, including Heal Private, Mekomera, TeleMD and the MasterleadsAI backend.
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.
Only the writes written into the scope, with a person on the step you mark.