Your engineers ship product. We ship the data.
When you're the most technical person, the data work lands on engineering. Senior data engineers from our team run the pipelines, the warehouse, the modeling, and the dashboards alongside you. 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 request that used to land on engineering. Handled without one.
Operator reads your model, writes the SQL, builds the dashboard, schedules the digest. You approve. Your sprint stays a sprint.
| Channel | Cohort Size | D7 | D30 |
|---|---|---|---|
| Organic Search | 1,247 | 82% | 68% |
| 892 | 78% | 61% | |
| Meta Ads | 2,134 | 71% | 49% |
| Google Ads | 1,508 | 69% | 47% |
| TikTok Ads | 3,021 | 58% | 31% |
"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.
Keep your engineers on the product.
See how engineering teams use Switchboard to hand off the data work without hiring for it.