About

We exist because most enterprise AI
never ships.

Pilot graveyards aren't a technology problem — they're a delivery problem. Zuplon.ai is the team that ships. Senior engineers, audited systems, evaluation built in from day one. No army of juniors. No 80-page strategy decks.

12 yrs
Average engineer experience
120+
AI features in production
9 countries
Where clients run our systems

Our mission

Make every enterprise system reason, retrieve, and act.

Safely. Measurably. At the pace the business actually moves.

Our wager

AI is not a feature. It's the substrate.

Within five years the cost of not embedding reasoning into core systems will eclipse the cost of doing it. We build for that world.

How we work

Five principles, non-negotiable.

01

Senior or nothing.

Every engagement is staffed by senior engineers with shipped AI in production. We don't pyramid juniors into your project to hit a margin.

02

Evaluation first.

If we can't measure it, we don't ship it. Eval rubrics and golden sets are deliverable #1 in every project — before the first prompt is written.

03

Working software, fast.

Four weeks from kickoff to a measurable PoC. No discovery decks, no 90-day strategy reports. Code earlier than feels comfortable.

04

Boring infrastructure.

Postgres before exotic vector DBs. Temporal before custom orchestrators. We default to the technology your operators already know how to run.

05

Hand-off, not lock-in.

We write the runbooks, do the on-call rotation training, and leave when you're ready. Your team owns the system. We're optional after that.

06

Boring meetings.

Weekly demos, weekly written updates, monthly steering. We protect your team's calendars as fiercely as our own.

Leadership

Engineers who've been on the hook.

Names, faces, and on-call histories. Placeholders below — replace with real team profiles before launch.

AR

Aman R.

Founder & CEO

Engineering leadership across fintech and cloud platforms. Built and operated systems serving 40M+ users.

SK

Sara K.

Head of AI Engineering

Ex-Anthropic / DeepMind alum. Author on retrieval evaluation and agent reliability.

DM

Diego M.

Principal Architect

Cloud + platform engineering. Designed multi-region inference systems for healthcare and FS clients.

Want the long version?

Our methodology pack covers eval rubrics, architecture templates, governance defaults, and reference RFP responses. Free for serious buyers.

Request the methodology pack