Most requested

Already have a developer or agency? We sit on your side of the table.

A lot of non-technical founders reach us here: you've hired someone to build your product, and you have no way to independently tell if the work is good, the pace is normal, or the decisions being made are the right ones. That's what this is for.

01

Start with a short call — we listen to what's going on and scope what a proper review would involve.

02

You get a priced, written report — the depth and cost depend on the complexity of what's being reviewed.

03

We work for you, not your vendor — so the read you get isn't the one they'd rather you hear.

We build data systems from scratch — and turn messy data into structure.

Wherever the raw data lives — documents, databases, disconnected tools, years of inconsistent records — we design and build the system that structures it, automates around it, and holds up as it grows. Build it from scratch, or bridge the gaps in what already exists.

Raw input Engineered system
Before
Inconsistent formats across sources
Fields buried inside documents
No shared schema or source of truth
Manual review, one record at a time
→
After
schemadefined
pipelineautomated
extractionLLM-assisted
source_of_truthsingle db
How we engage

Two other ways to work with us

Beyond sitting in as your technical counsel, we also take on the work directly — either from a blank slate or fixing a specific part of a system that already exists.

Build

Products & systems, built from scratch

No existing system to extend, or the existing one needs to be rebuilt. We design and build the data product or infrastructure end to end and hand over something the team can run.

  • New data platforms and internal tools
  • End-to-end pipelines and automation
  • Infrastructure for a product that doesn't exist yet
Advise

Consulting to bridge specific gaps

A system already exists, but something in it isn't working — data quality, a pipeline that keeps breaking, a process that hasn't been automated yet. We find the gap and fix that part.

  • Diagnosing pipeline or data-quality issues
  • Targeted fixes to an existing system
  • Short, scoped engagements around one problem
In practice

Built on years of large-scale, messy data

Years spent building the data systems behind large-scale transactional and document-heavy platforms — government-scale records, inconsistent third-party sources, and datasets that arrived hard to structure. That depth is domain-agnostic: the same system-building applies to any dataset that starts out messy and needs to become reliable.

Just as relevant for founders: years on the client side of the table, managing outsourced projects, external vendors and consultants. We know what those relationships look like when they're going well, and when they aren't.

15+ yrsleading engineering & data teams
Millionsof records structured from raw, inconsistent source data
Relational /
NoSQL
database expertise across every build
LLM-nativeextraction & automation, not bolted on after
How we work

Built by people who've run this at scale

Not a framework applied generically — a way of working shaped by years of building systems that had to survive real, messy data.

01

Understand the data as it actually is

Before proposing a fix, we look at the real records — inconsistencies, edge cases, exceptions that break naive assumptions.

02

Design for the messy case, not the clean demo

Pipelines and extraction logic are built to survive the data you actually have — not a tidy sample.

03

Automate what should never be manual again

Once a process is understood, we find what can be automated safely — using AI/LLM tooling where it earns its place.

04

Hand over something the team can run

Documented, maintainable systems — not a black box that only works while we're in the room.

Relational databases NoSQL databases Cloud infrastructure LLM-based extraction System architecture Automation workflows Vendor & technical review
What we do

The work, in detail

The common thread is structure and clarity: taking something ungoverned, opaque, or half-built and making it something a team — technical or not — can act on.

01
Data systems & infrastructure, built from scratch
When there's no existing system to extend, we design one — schema, storage, pipelines, and the architecture that supports analytics and product on top of it. System design · relational & NoSQL databases · cloud infrastructure
02
MVP-first builds, not over-engineered ones
For early-stage products, we design the smallest system that proves the idea — deliberately avoiding the over-built architecture that slows teams down before they've found product-market fit. MVP scoping · lean architecture · fast iteration
03
Cleaning up code & data debt
Every product accumulates shortcuts. We go in, assess what's actually load-bearing versus what's fragile, and pay down the debt without a full rebuild. Code & architecture audits · refactoring · technical debt triage
04
Document & unstructured data extraction
Turning documents and free-form text into structured fields — contracts, filings, records, spreadsheets that were never designed to be machine-readable. LLM-based extraction · schema design · validation
05
Pipelines for data that doesn't behave
Building and repairing pipelines that keep working when sources are inconsistent, incomplete, or change without warning. ETL design · pipeline reliability · monitoring
06
Automating manual, repetitive processes
Replacing manual data work with automated workflows — the difference between a process that scales with the business and one that doesn't. AI/LLM workflows · scripting · process redesign
07
Scaling systems as the company grows
What works at ten users breaks at ten thousand. We plan the points where infrastructure needs to change ahead of the growth that forces it. Capacity planning · infrastructure scaling · performance
08
Technical review for non-technical founders
An independent technical read on work being done by your developer, agency, or vendor — so decisions about your product aren't made on trust alone. Vendor & code review · architecture sanity checks · plain-language reporting
FAQ

Questions founders ask us

What does an independent technical review include?

We look at what your developer or agency has built and how the work is being run: code health, whether the setup fits your stage, security basics, who owns the code and accounts, and whether the plan and estimate for the remaining work are realistic. You get a written report in plain language: what's solid, what's risky, what's urgent, and what to ask your developer next.

What an independent code review covers →

How much does a review cost?

It depends on the size and complexity of the product and how deep you need to go. The 15-minute scoping call is free, and you get a fixed quote for the report before any work starts, so there are no surprises.

Do I need to be technical to work with you?

No. That's the point. Everything we send you is written for founders, with the technical detail kept separate for your developer.

Will my developer or agency know I'm getting a review?

That's your decision. We usually need read access to the code, which you as the owner should be able to grant. Many founders describe it as standard due diligence, and good teams tend to welcome it. We never share findings with your vendor without your say-so.

How to make sure you own your code and accounts →

How do I know if my developer is doing a good job?

Look at what good work produces: working releases you can click through every week or two, estimates that roughly hold, bugs that stay fixed, and plain answers to plain questions. If several of these are slipping at once, get an outside opinion before paying for more.

Signs, warning signs and six checks you can run yourself →

Is this the same as hiring a fractional CTO?

No. A fractional CTO leads your technology part-time and usually manages your developers. We act as an independent advisor: we review work, check proposals and help you make decisions, without running your team. If a fractional CTO is what you actually need, we'll tell you.

Technical advisor vs fractional CTO vs co-founder →

Can you also build or fix things, not just review them?

Yes. We build data systems, pipelines and automation from scratch, and take on focused fixes to systems that already exist. See the Build and Advise options above.

Where are you based? Can we work remotely?

We're based in Mumbai, India. Calls and reviews happen online, so where you are usually doesn't matter.

Working on a data-heavy problem? Let's talk.

Grab a 15-minute slot — enough time to describe what you're working on and figure out if this is a fit, no prep needed.

  • 15 minutes, no obligation
  • Bring a rough idea — details can wait
  • Pick whatever slot works for you