LLM and agentic AI builds
AI that does work, not AI that does demos.
Most AI features are a chat box bolted onto a product nobody uses. I build the ones that remove real cost: support agents that resolve tickets, internal copilots that kill busywork, pipelines that turn messy data into decisions.
This is for you if
- ·You want an AI feature in your product and need it to actually hold up
- ·Your team is drowning in repeatable work an agent should be doing
- ·You have data nobody can query and want an interface over it
What we build together
- ·Use-case triage: what to automate, what to leave alone, what it is worth
- ·Agent design with tools, guardrails, escalation paths and a human in the loop
- ·Retrieval over your own documents, tickets, or database
- ·Evaluation harness so you know when a prompt change makes things worse
- ·Cost and latency modelling before you commit to a provider
- ·Deployment into your stack, with logging and monitoring
You walk away with
A working agent in production with numbers on what it saves.
Why me
Aumra Nova is an AI-first proptech build. I ship agents into live products, not sandboxes.
Other engagements
SEO and organic growth
Customers who find you without a media budget.
Hiring and first-team design
The first ten hires decide the next ten years.
Growth engineering
A funnel you can see, and an experiment loop that never stops.
Product and roadmap
Build the right thing next, and stop building the rest.
Backend and architecture
The stack decisions that are cheap now and expensive later.
Data and analytics
Decisions from numbers, not from the loudest voice in the room.