Now onboarding a small number of design-partner integrations — get in touch
For B2B SaaS teams closing enterprise deals

Their {legacy system} shouldn't be the reason your deal dies.

We design, build, and run the custom data bridge between your product and their legacy system — done for you, so your engineers stay on your roadmap and the deal actually closes.

Usually live in 1–2 weeks once scoped
Last night 1,284 = 1,280 + 0 + 4 Balanced
Watch it run

One 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.

02:04:12 Tonight's file lands. 1,284 employee rows, dropped on their SFTP server.

Your device has motion turned off, so the run is shown already finished. Press Play above to watch it happen.

Their SFTP drop ACME_EMPLOYEES_0804.csv 1,284 Validate schema + your rules Transform deterministic code Your API modern, already built { } 1,280 4 held back 1,284 Their SFTP drop ACME_EMPLOYEES_0804.csv Validate schema + your rules 4 held back for review Transform deterministic code { } 1,280 Your API modern, already built
Held for review — never dropped 4 of 1,284
Marcus Webbhire date is "N/A"
Dana Ortizhire date is "N/A"
Priya Raoemail address incomplete
Ben Okaforsalary reads "N/A"
1,284 = 1,280 + 0 + 4 Balanced ✓

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 problem

The deal is ready. Their tech stack isn't.

The system

An Oracle database with no API. A mainframe. A folder where a CSV lands every night — something 15 to 20 years old.

The cost

Your engineers don't have a sprint to spare for one customer's legacy system.

The result

The deal sits in limbo — or dies quietly in procurement.

Fixed-widthmainframe extract
00127WEBB      MARCUS    20231102FIN0078500
00128ORTIZ     DANA      N/A     OPS0064000
HL7 v2clinical feed
PID|1||00127^^^ACME||WEBB^MARCUS||19850614|M
PV1|1|O|CARD^^^ACME||||0078^BEGUM^A
CSVnightly SFTP drop
EMP_ID_NUM,FIRST_NM,DT_HIRED,SAL_USD
007712, Marcus ,11/02/2023,"78,500"

Three ways of writing down the same employee. None of them is an API, no two agree on how to write a date, and every one of them is somebody's production system.

The fix

From maintaining an engineer's pet project to shipping a closed deal.

Before
  • 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
After
  • 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
Edit a row

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.

Their legacy row (edit it)source
Delivered to your APIdestination
Valid — ready to deliver

A row that fails here is the row that gets held back in the run above.

Why it's safe

Five guarantees, checked on every run.

01

AI proposes, humans approve

AI may help draft the integration at setup. Production always runs on reviewed, deterministic code.

02

Strict validation

Every record is checked against a schema before and after transformation.

03

Nothing lost

A record that fails is quarantined with the exact reason — never dropped.

04

Nothing duplicated

Every record is fingerprinted. A re-run can never deliver the same one twice.

05

The math is checked

in = delivered + skipped + failed — verified every single run.

$ tail -f logs/run-20260804-020412-52117.log | jq 'select(.msg=="pipeline run finished")'
 
{ "rowsExtracted": 0, "rowsDelivered": 0, "rowsSkipped": 0, "rowsFailed": 0,
  "reconciled": true, "msg": "pipeline run finished" }

What "reconciled" means: 1,284 in, 1,280 delivered, 4 quarantined for review, all four accounted for. Nothing in between.

What you get back

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.

Aug 4 1,284 = 1,280 + 0 + 4 Balanced
Marcus Webb — no hire date on fileawaiting your rule
Dana Ortiz — no hire date on fileawaiting your rule
Priya Rao — email address incompleteawaiting your rule
Ben Okafor — salary reads "N/A", not a numberawaiting your rule

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.

Built for

Legacy-heavy industries, by design

If your enterprise customers run on systems that old, we've likely seen something close to it.

Financial servicescore banking extracts · fixed-width nightly files
HealthcareHL7 v2 feeds · scheduled record exports
HR & benefitsANSI 834 enrolment · payroll SFTP drops
ManufacturingERP tables · EDI 850 and 856
Insurancepolicy admin extracts · carrier file drops
Governmentread-only database pulls · fixed-width returns
Frequently asked

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.

Get in touch

Tell us about the deal that's stuck.

Grab 30 minutes — tell us what the legacy system is and what's blocking the close.

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 for a demo? Send a sample file — or just describe the system — and we'll tell you within one working day whether we can read it.