An engineering studio

Curiosity,
Engineered.

Bineary designs, ships and runs production infrastructure — cloud environments on AWS and Azure, CI/CD pipelines, orchestrated data platforms, and APIs that answer in milliseconds. Built carefully, because we're the ones on call for it.

↓ scroll — the diagrams on this page animate as you go, the way the systems actually run.

The journey — one request through our stack

01 · CI/CD

It starts with a push

Pipelines on GitHub Actions and native AWS tooling take a commit to production without a human copying files anywhere. Build, test, deploy — every step visible, every step repeatable.

GitHub ActionsAWS

02 · Infrastructure

Ground for it to land on

Complete environments stood up end to end on AWS and Azure — network to runtime. Not a console-clicked snowflake: infrastructure that can be torn down and rebuilt on purpose.

AWSAzureend-to-end

03 · Microservices

A request comes in

A dedicated notifications microservice owns every message the platform sends — decoupled from the products that trigger them, so product teams ship without ever touching delivery logic.

microservicenotifications

04 · Orchestration

Some work runs on a clock

Apache Airflow drives the API calls that must happen on schedule — with retries when things wobble and a clear view of what ran, what didn't, and why.

Apache Airflowscheduling

05 · Data platform

The data keeps flowing

Prefect-powered ETL and ELT pipelines on a medallion architecture — bronze to silver to gold — have loaded over 4 crore rows. That's 40 million, and the pipelines didn't blink.

PrefectmedallionETL / ELT

06 · APIs

And the answer comes back fast

We profile and rebuild APIs until response times drop to milliseconds — fixing the actual bottleneck, not caching over it. Every API that leaves this studio is production-grade. No exceptions.

profilingproduction-grade
git pushbuildtestdeployGitHub Actions · AWS — commit to production, no handsaws · vpcnetwork → runtimeazure · vpcnetwork → runtimestood up end to end — rebuildable on purposeclientgatewaynotificationsqueueworkersinkone service owns delivery — products just emit eventson scheduleairflow dag · api calls with retries + visibilitybronzesilvergold0rows loaded · prefectresponse time: milliseconds.PRODUCTION-GRADE ✓profiled, rebuilt, measured — not cached over010203040506
4,00,00,000+

rows loaded through medallion pipelines

ms.

where API response times ended up

2

clouds deployed end to end — AWS & Azure

0

made-up numbers on this page

The work

Shipped, running, owned.

Not a list of technologies we've read about — a list of systems we've built, deployed and answered for in production.

01

Notifications microservice

A standalone service that owns every message the platform sends. Products emit events; the service handles delivery, retries and the edge cases nobody wants to reimplement five times. Decoupled on purpose — teams ship features without touching messaging code.

microservice · event-driven

02

End-to-end cloud infrastructure

Complete environments on AWS and Azure, stood up from the network layer to the running workload. Reproducible by design: tear it down, run it again, get the same environment. No console-clicked mystery boxes.

aws · azure

03

CI/CD pipelines

Delivery pipelines built on GitHub Actions and native AWS tooling. A commit lands, the pipeline builds, tests and deploys it — and everyone can see exactly which step did what. Releases stop being events and become routine.

github actions · aws

04

Scheduled orchestration with Airflow

Apache Airflow running the API calls that must happen on time, every time. DAGs with retries, alerting and a paper trail — so 'did last night's run happen?' takes one glance to answer, not one hour.

apache airflow

05

ETL/ELT at 4-crore-row scale

Prefect workflows on a medallion architecture — raw into bronze, cleaned into silver, modelled into gold. Over 4,00,00,000 rows loaded through these pipelines (40 million, if you count in the other direction).

prefect · medallion · bronze → silver → gold

06

API performance engineering

Profiling real bottlenecks and rebuilding the hot path until response times drop into milliseconds. Not a cache slapped over a slow query — the query made fast. The API stays fast when the cache is cold, because the cache was never the fix.

profiling · optimisation

How we work

Curiosity finds the problem.
Engineering makes the fix stay fixed.
Every word on this site is true

— not a made-up story. The numbers above shipped to production before they shipped to this page.

01

Problem first, tools second

We don't arrive with a stack looking for somewhere to happen. We start at the problem, work out what it actually needs, and only then pick the tools — which is how the same studio ends up shipping Airflow one month and rewriting a hot API path the next.

02

Accountability, not hand-offs

If we shipped it, we own it. We're confident in the work because we stay on the hook for it — the deploy, the pager, the fix. Confidence you can't stand behind at 3am isn't confidence, it's marketing.

03

Production-grade is the default

There is no 'we'll harden it later.' Every API that leaves this studio ships production-grade — instrumented, tested, and ready to be blamed when something else breaks. Later never comes; we build as if it won't.

New projects

Bring us the system that keeps you up at night.

Tell us what you're trying to build — or what's currently falling over — and we'll tell you honestly whether we're the right people to fix it.

Email the studio

usually a reply within a day · no sales sequence, we promise