No middleman.
You talk to the people who build it.
allgree is a product engineering studio staffed by senior developers, ten years and more each. We design, build, launch, and keep running the software your business depends on. The people you talk to are the people writing the code.
Every conversation is with a developer
Most agencies grow by adding layers between the client and the engineers: an account manager, a delivery lead, a team you meet once. We've kept it flat on purpose: the person who scopes your project, writes the code, and answers your message is the same person. It means we can't take on ten clients at once. It also means nothing gets lost being explained a third time, and that the person hearing your problem has spent a decade solving that kind of problem.
More about how we're set upThe person on the other end of that first message
Every agency says there is no middleman. This is the person, with the places he has worked and the paper he co-wrote, so you can check.
Anshul Jain
Ten years building backend systems, cloud platforms, and AI products, nearly all of it on things with real users and real consequences attached. He still writes the code: founder is the job title, not the day. He's one of the people who will be in your channel, and in your codebase.
Usually it starts like this
Nobody looks for an engineering partner when everything is going well. These are the five situations we're most often brought into. In any of them we can own the technical side end to end, from an idea on a whiteboard to a production system built to carry a million users. Not just an extra pair of hands.
There is an idea and no engineering team
A founder, a market, and nobody to build it yet. What is needed here is not an extra pair of hands on an existing team, it is for someone to own the whole technical side and carry it all the way to launch.
The roadmap is longer than the team
Priorities are clear and agreed. There just aren't enough people to build them this quarter, and hiring won't close the gap in time.
Shipping has become risky
Releases go out late in the evening and someone stays up to watch. The code works, but nobody is confident changing it.
The AI feature is stuck at demo
It works in a notebook and impressed the team. Nobody knows what it costs per user, how to test it, or what it does when it's wrong.
Delivery dates keep moving
Estimates exist, but the work behind them was never broken down, so slippage only becomes visible once it's too late to absorb.
Seven practices, one team
We cover the whole product rather than one layer of it, which means no handoff gaps between the people designing, building, shipping, and running it.
AI engineering
Models and agents wired into a product, with evals and a fallback path. The interesting problems are the ones after the demo works: evaluation, cost, latency, and what the product does when the model gets it wrong.
AI capabilities in detailBackend & platform
APIs, data models, and services that stay predictable as load grows.
Web applications
Interfaces that stay fast on a mid-range phone and a slow network.
Mobile applications
iOS and Android builds that behave when the network doesn't.
Cloud & delivery
Infrastructure in version control and a release you can do on a Friday.
Product design
Flows and interfaces designed against the constraints they'll ship into.
Testing & hardening
The pass that happens before a launch, not after an incident.
Products we can name
Three of the ten on the projects page. Described as problems, not logos.
OpenMic
A platform for AI voice agents that answer and place real phone calls, wired into the tools a business already runs.
Permit Pro
Permit Pro, the parking permit platform from Park Loyalty in the US, replacing counter visits and paper books.
Marmin
A cloud e-invoicing platform that files compliant tax invoices across several countries from one integration.
From first call to steady state
Six stages, and we don't skip the two that usually get skipped: proving it before launch, and staying with it afterwards.
Frame
Agree on the problem, the constraints, and what has to be true for this to count as done.
Plan
Break the work into slices small enough to estimate honestly, in a document you can argue with.
Build
Ship in slices behind flags. Every slice reaches an environment you can open and use.
Prove
Automated tests, load, and a security pass, run before launch rather than after the first incident.
Launch
Staged rollout with monitoring and a rollback path that has been tested, not just written down.
Run
Watch it under real usage, fix what real usage exposes, and keep dependencies current.
AI in the toolchain, judgment on top of it
- AI assists every stage: spec, code, tests, review, migration
- Architecture and trade-offs stay human decisions
- Generated code is reviewed like any other code, never merged unread
- Faster delivery shows up as shorter timelines, not thinner testing
We build with AI assistants and AI-native editors at every stage: scaffolding, tests, migrations, refactors, and review. It removes most of the typing and a lot of the waiting, which is why our timelines look shorter than an agency of the same size.
What it doesn't do is decide. A model will produce something plausible for an architecture it doesn't understand, and the only thing standing between that and your production system is someone who has seen it go wrong before. That is what ten years each is for. Nothing reaches a pull request that the engineer sending it can't explain line by line.
Six things you can hold us to
Not values on a wall. Each of these is something you can check within the first two weeks, and call out if we're not doing it.
Written before spoken
Decisions, trade-offs, and plans go in a document first. Meetings are for disagreeing with the document, not for reconstructing it.
Progress you can open
Every week there is a running environment, a merged branch, or a written explanation of why there isn't. Status is demonstrated, not reported.
No middleman
The senior developers who scope your project are the ones who write the code. No account manager relaying messages, and nobody quietly swapped for a junior once you've signed.
Your infrastructure, your accounts
Code lands in your repositories and runs in your cloud accounts from the first week. There is nothing to migrate at the end.
Estimates with their uncertainty attached
You get a range and the reason it's a range. When it moves, you hear about it in the week it moves.
Built to be handed over
Readable code, a working README, and architecture notes, written as we go, on the assumption someone else takes over.
Tell us what you're building
One call with the engineers who'd do the work, and a written summary of what we'd suggest, including if that's to not hire us.