Your engineers ship product. We ship the data.
Data work lands on engineering because you're the most technical team in the building. Our senior data engineers run all of it alongside you, pipelines to dashboards. Your team writes zero integration code.
Your team isn't a data team. But the data work keeps landing here.
Every business question becomes an engineering ticket.
Marketing needs cohort analysis. Finance needs a QuickBooks reconciliation. Ops needs an inventory dashboard. Nobody else can write the SQL, so it lands with engineering. The product roadmap waits while you build dashboards.
The dashboard breaks. Your sprint breaks.
An ad platform changes its API at 2am. The dashboard goes red. Marketing pings you in Slack. The thing you built six months ago that mostly worked just stopped, and you're the only person who knows how it was wired together.
You tried setting up the modern data stack.
Spun up the connectors. Stood up a warehouse. Wrote a few transformation models. It almost worked. Then your day job came back, and the half-built pipeline has been doing 60% of what you needed ever since.
The pipeline breaks at 2am. You read about it at 9.
Switchboard catches the failure and fixes it: automatically for the common cases, with our data engineers on the weird ones. The models rerun, the dashboards stay current, and the Slack ping never happens.
| Time | Event | Status |
|---|---|---|
| 2:04 AM | Schema change detected · Meta conversions | Caught |
| 2:09 AM | Connector mapping patched | Done |
| 2:18 AM | 6 downstream models rerun | Passing |
| 2:26 AM | Dashboards verified current | Resolved |
Everyone wants AI on the company's data. You're the one who knows why that's hard.
Hooking an LLM up to the warehouse takes an afternoon. Getting answers you'd let the CEO repeat takes the part nobody budgets for: every field described in plain English, joins defined once, business context written down where the model can read it. Switchboard ships with that layer already built. It's why Operator's answers hold up. The full grounding story is on AI on your data.
cac_blended:
description: spend ÷ new customers, all channels
type: currency
roas_paid:
description: revenue from paid orders ÷ ad spend
joins: ad_spend → ordersManaged isn't a black box.
Every model is plain text your team can read. Every answer can show the SQL it ran and when the data behind it last synced. Model changes, ours or Operator's, wait for your approval. It's all written down in your workspace, not locked in our heads. You're handing off the maintenance, not the visibility.
$ trace cac_blended
meta.ads + google.ads → ad_spend → cac_blended
sources: meta ✓ google ✓ shopify ✓
last_sync: 11 minutes ago
defined_in: models/marketing.yml · reviewed"It feels like we hired a full data team overnight, without the cost or complexity."
How long does setup take?
Typically days, not months. Your Forward Deployed Engineer connects sources on day one, configures models and dashboards by day three, and you're live by the end of the week. You don't touch a credentials screen or a mapping table.
How much does it cost?
Book a demo and we'll give you a straightforward number. Pricing depends on your sources and complexity, but the FDE, the platform, and Operator are all included. It's not five separate line items.
Do I need to retire my current BI tool?
No. Switchboard runs alongside what you have today. Most customers migrate dashboards over piece by piece as Operator builds them, but nothing has to come out to get started.
What happens after the dashboards are live?
Your FDE stays on. They maintain your data models, add new sources as your stack changes, build new dashboards on request, and keep things current. The implementation never ends — it just becomes the weekly rhythm.
What does our engineering team have to do during setup?
Grant access to your tools. That's the job. Your Forward Deployed Engineer connects the sources, builds the models, and configures the dashboards. Nobody on your team writes integration code or babysits a migration.
We already built some of this. Does it get thrown away?
No. Your warehouse and the models you've written stay put. We take over the maintenance burden first: the breakage, the schema drift, the 2am failures. Then we replace the half-built pieces one at a time, on your schedule.
Keep your engineers on the product.
See how engineering teams use Switchboard to hand off the data work without hiring for it.