Aptologics

POC to Production

Everything works until you're out of office.

You didn't want to pay someone to prompt Claude on your behalf, so you built the prototype. Got the buy-in. Now what?

We'll help you take your messy POC to Production. AI agents, MCP Servers, data warehouses, internal apps. We do it all.

Tell us about it, get a number back

A written ballpark range, in your inbox, before the first call.

What comes back

  • A ballpark cost range you can forward to the budget
  • An honest read on what's production-ready and what isn't
  • The riskiest part of your POC, named

Most POCs die in the same few places.

The model trained on a snapshot that stopped refreshing in March. The API key is hardcoded in cell four of a notebook nobody's allowed to rerun. The whole thing runs on a cron job on someone's laptop. None of this is a knock on whoever built it. A POC is supposed to cut those corners.

The trouble starts when the demo goes well enough that someone with a budget calls it basically done. The last ten percent isn't ten percent. It's the schema that doesn't match, the retry when an API times out, the alert that fires before the customer notices, the access controls. The engineering that doesn't demo well, which is why it never made the demo.

The work is making it boring. A system that runs the same on a Tuesday in November as it did the afternoon you showed it off, and keeps running once the person who built it has moved on.

How the estimate works

A number before a meeting, not the other way around.

You send us the POC.

The form below. What it does, what it runs on, where it limps today. Ten minutes.

We send back a number.

An engineer reads it and emails you a ballpark range you can forward to whoever holds the budget. Before any call.

Then we talk about the work.

Not a discovery interview. A conversation about the hard parts and whether the range holds.

Once you say go

We look before we build, and you own it when we're done.

The same path every time, so you know which part you're paying for.

Step 01 · The look

Production Readiness Review

A short, fixed-scope read of the POC against what production demands: the data, the untested failure modes, the security a demo gets to ignore. The ballpark becomes a real number and a written plan. If a piece should be rebuilt rather than hardened, you hear it here, while it's cheap.

Step 02 · The build

Hardening

The unglamorous engineering the POC was right to skip: idempotent jobs, retries that don't lose data, alerts that fire before a customer notices, access controls, tests that fail loudly. On your stack, in your repo, with your team alongside if they want.

Step 03 · The handoff

You run it

Your system, your runbook, your monitoring, and an engineer who can explain every decision. Run it yourself or keep us on to run it with you. Your call after it ships, not a string we attach before.

We harden it on the platforms your data already runs on

Databricks logo
dbt logo
Snowflake logo
AWS logo

Start here

Tell us about your POC.

Write it like you'd describe it to another engineer. Rough is fine. The corners you know were cut are the useful part, so put them in.

A person reads every one. You'll get a ballpark range by email before we ask for a call. If the number doesn't work, you keep it and we part as friends.

We read every one of these ourselves. You'll get a ballpark range by email before we ask for a call. No automated sequence, no sales cadence.

POC to Production FAQ

The questions worth asking before you send anything over

Because you've got a budget conversation coming, and a range you can forward helps you have it. We'd rather lose the deals where the number was never going to work than find that out on a call. Honest on both sides, early.

From demo to dependable

You built the proof. Let's build the part that lasts.

Send us the POC and the shape of where it needs to go. We'll email you a ballpark range before our first call.

Tell us about your POC
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