It's never one integration. It's {one per customer, forever}.
Every customer you win hands their data over differently. We take that whole layer — built, run and answered for — so onboarding doesn't cost a sprint every time.
Usually live in 1–2 weeks once scopedOne night's run, start to finish.
Nobody is awake for this. A file lands at 2am, every row gets checked, the ones that can't be trusted are held back by name, the rest are delivered, and the arithmetic is proved before your team logs on. That's the whole job — here it is.
Your device has motion turned off, so the run is shown already finished. Press Play above to watch it happen.
Four rows out of 1,284 couldn't be trusted, so they weren't sent — and every one of them is named, with the reason, waiting on a decision from you.
The work doesn't scale, so it gets absorbed by people.
A folder where a file lands every night. A read-only database. An export somebody produces by hand — whatever shape their system is willing to give you.
It's a sprint per customer, and nobody has a sprint per customer — so it gets absorbed by people instead of solved.
You find out what was wrong with the file downstream, when something visible breaks and it's already urgent.
Employee ID,Last,First,Date of Hire,Annual Salary 00127,Webb,Marcus,Nov 2 2023,78500 00128,Ortiz,Dana,,64000
emp_id | last_nm | hire_dt | salary 00127 | WEBB | 2023-11-02 | 78500.00 00128 | ORTIZ | NULL | 64000.00
EMP_ID_NUM,FIRST_NM,DT_HIRED,SAL_USD 007712, Marcus ,11/02/2023,"78,500"
Three ways of writing down the same two employees. No two agree on how to name a column, how to write a date, or how to say "this one is missing" — and every one of them is somebody's production system. All three are shapes we read today.
From a script somebody keeps having to nurse, to something nobody thinks about.
- An engineer loses a sprint hand-mapping one customer's file format
- Failures get discovered by the customer, not by you
- No record of what was sent, what failed, or why
- The next legacy-heavy deal means starting over
- We scope, build, and operate the bridge — your team stays on your roadmap
- Every run is reconciled automatically; failures alert us before your customer notices
- A full audit trail — what came in, what went out, what didn't
- The next legacy-heavy deal takes days, not sprints
The same rules the pipeline runs, on one of their rows.
This runs the pipeline's validation and transform logic in your browser. Clear the hire date, type letters into the salary, put a space in the email — the destination pane shows what it accepts and what it refuses.
Every field from their legacy export is checked against a schema before anything moves. Edit a value on the left — try clearing the hire date, or typing letters into the salary.
A row that fails here is the row that gets held back in the run above.
You find out what went wrong before your customer does.
AI proposes, humans approve
AI may help draft the integration at setup. Production always runs on reviewed, deterministic code.
Strict validation
Every record is checked against a schema before and after transformation.
Nothing lost
A record that fails is quarantined with the exact reason — never dropped.
Nothing duplicated
Every record is fingerprinted. A re-run can never deliver the same one twice.
The math is checked
in = delivered + skipped + failed — verified every single run.
What "reconciled" means: 1,284 in, 1,280 delivered, 4 quarantined for review, all four accounted for. Nothing in between.
What every run hands back.
After each run you get the reconciled ledger and a named list of anything held back — what synced, what didn't, and exactly why, in your own field names. Explore a sample below.
Fixed Priya's email at source? Tell us and we'll re-run on demand rather than waiting for tonight — press Re-run now to see what that looks like.
Click a name above to see what your team would see.
Legacy-heavy industries, by design
If your enterprise customers run on systems that old, we've likely seen something close to it.
Questions worth asking before you book a demo
Why not just have our own engineer build this?
That's exactly the sprint they don't have — it's why the deal stalled in the first place. You're not short on capability, you're short on time to spend it on one customer's legacy system.
What happens if something breaks at 2am?
Any failed reconciliation triggers an alert automatically — that's what the monthly fee covers: someone finds out before your customer does, not after.
Do you need write access to our legacy system?
No — read-only access to the source. We never write back to or modify the legacy system, only read from it and deliver into your modern API.
Can you handle our specific legacy system?
If it's a file drop, a direct database connection, or SFTP — yes, today. Something more exotic (a specific carrier's EDI dialect, a mainframe protocol) gets scoped as part of the engagement. We've written up how we approach the two most common ones: direct read-only database connections and SFTP / CSV file drops.
Do you have other customers or case studies yet?
Not yet, honestly — we're deliberately selective about our first design partners rather than overselling traction we don't have. That's exactly why the engineering (the five guarantees above) is built the way it is.
Tell us what shape the data arrives in.
Grab 30 minutes — tell us what the system is and what it will actually give you today.
We're taking on a small number of design-partner integrations right now — if the timing fits, we'd rather build this with someone before we build it for everyone.
Not ready to talk? Click through a sample dashboard with invented data, check a census file yourself in seconds, or send a file — or just describe the system — and we'll tell you within one working day whether we can read it.