HighPixel /About
// About HighPixel

We build the durable parts of the AI-era stack —
so your team can keep going.

HighPixel is an AI and product engineering studio. We pair with founders and platform teams to ship the surfaces and the floor underneath them — agentic systems, decision intelligence, product engineering, and the platform layer the rest depends on.

32

people across engineering, design, ML, and platform

47

production engagements shipped since 2011

17

years of compounding craft

94%

of clients renew within the first 12 months

01 · OUR STORY

Founded on one insistent idea

HighPixel started in 2009 with a small team of engineers who'd watched too many smart products buckle under the weight of the platforms that shipped them. The product was fine. The floor was the problem.

Seventeen years later, the answer is the same — we just say it on bigger systems. AI/ML rides on data pipelines that have to be honest. Agentic systems ride on observability that has to actually fire. Decision tools ride on a semantic layer the team agrees on. The intelligence is leveraged by the floor underneath it.

So we built the studio to do both. A team that ships the agentic surface AND the platform layer it sits on. The decision tool AND the warehouse it queries. The product AND the engineering muscle to keep building it eighteen months in.

We're 32 people in Delhi and remote. We've shipped 47 production engagements across financial services, commerce, logistics, and healthtech. 94% of clients renew within their first year. We don't take that lightly.

02 · PRINCIPLES

Six things we believe loudly

They show up in the RFC, the architecture, the post-mortem, and the kickoff. If we disagree on these, we're probably not the right fit.

// 01

Boring on purpose

We default to the well-understood piece. Postgres, dbt, Terraform, OpenTelemetry. The cutting edge comes in only where it changes the user's experience — not where it changes our resume.

// 02

The floor before the ceiling

Velocity is a property of the platform, not of heroics. We invest in CI, observability, and the design system so feature work feels light a year in.

// 03

Make the team stronger

Most engagements end with us as a smaller retainer. The team we worked with owns the platform with a working delivery rhythm — and we've documented it on the way out.

// 04

Audit isn't a feature; it's the floor

Every internal action — who, when, what, why — written to an immutable log on day one. Compliance, debugging, and trust all rest on it. Bolting it on later is 10× the work.

// 05

One source of truth or none

Three teams, three definitions of revenue is a bug in your platform. We build the semantic layer and own the conversation about what the metrics mean.

// 06

Ship the writing too

Code without a runbook isn't shipped. RFCs, runbooks, ADRs, post-mortems. The thinking behind decisions outlives the code.

03 · HOW WE GOT HERE

Seventeen years of compounding craft

2009
Founded in Delhi by 3 engineers
2013
First multi-year platform engagement (logistics, still running)
2017
Crossed 20 people · added Data & MLOps practice
2021
Launched Decision Intelligence practice as ML moved into production
2023
Agentic AI practice spun up · 47th production engagement shipped
2026
32 people · 17 years · still picking the boring stack on purpose
// We'd like to meet your team

Bring us the hard one.

The migration that's already mid-flight. The platform that doesn't fit anymore. The model that keeps falling over in prod. We do our best work there.