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Switchboard Software: the data layer underneath enterprise AI Built by the team that launched Google BigQuery $7M Series A led by GFT Ventures & Quest Venture Partners 200+ pre-built connectors, self-adapting schemas Customers include Financial Times, DotDash Meredith & Fandom Data is our mission. Revenue growth is yours.
Company Profile DataOps · SaaS San Francisco · Est. 2014

Switchboard Software

The unglamorous plumbing of enterprise data, automated by the people who launched Google BigQuery.

Switchboard Software logo
The wordmark, photographed plain against white: an ordinary lowercase word with one small rebellion - the i redrawn as a two-terminal switch. A company that spends its days routing data, telling you exactly what it does, quietly, in a single letter.
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01

The Company

Switchboard Software sells something that sounds boring and is, on inspection, the whole ballgame: data you can actually trust.

Here is a thing about enterprise data that everyone knows and few say out loud. The interesting part - the dashboard, the forecast, the AI that answers your question in plain English - is maybe five percent of the work. The other ninety-five percent is plumbing. It is pulling numbers out of a dozen ad servers and monetization platforms and finance systems, none of which agree on what a column means; noticing when one of them silently changes its schema at 2 a.m.; reconciling the total against another total that is off by a rounding error that turns out to be $40,000; and doing all of this again tomorrow. Nobody wants that job. Switchboard Software built a company on doing that job.

Founded in San Francisco in 2014, Switchboard was started by people with an unusually good vantage point on the problem. CEO and co-founder Ju-kay Kwek and co-founder Michael Manoochehri were part of the team that launched Google BigQuery in 2012. BigQuery was, and is, an extraordinary machine for querying enormous datasets fast. What the founders noticed from inside Google was that having a fast engine did not help companies that could not get clean fuel into it. Media companies in particular were generating more data than they could plausibly use. The bottleneck was not compute. It was trust.

So the pitch, which the company states about as plainly as a pitch can be stated, is this: Data is our mission. Revenue growth is yours. Switchboard ingests high-volume revenue and marketing data, transforms it, blends it, cleanses it, validates it, and normalizes it into something a business team can rely on - then publishes that governed dataset into a cloud warehouse like BigQuery, Snowflake, or Amazon Redshift. The company frames itself now as the data layer underneath enterprise AI, which is a fashionable phrase built on an unfashionable truth. An AI is only as smart as the numbers you feed it, and most companies' numbers are a mess.

The customer list tells you where the hard problem lives. Switchboard has named the Financial Times, DotDash Meredith, Fandom, The Weather Company, Pearson, DISH, Orange Theory Fitness, and CarGurus among its users. These are, disproportionately, media and publishing companies - organizations that run on impressions, yield, subscriptions, and reconciliation, and that drown in exactly the fragmented, high-volume, constantly-shifting data Switchboard was built to tame.

“Empower go-to-market teams to grow revenue by giving them timely, reliable access to all the data they need to understand their business.”

Switchboard Software - Company Mission
2014
Founded
$11.9M
Total Raised
200+
Connectors
~23
Employees
02

What You Can Do With It

A marketing analyst files a data request. In the old world, an engineer gets to it in three weeks. Switchboard's bet is to delete the queue.

Ingest

Connect everything

200+ pre-built connectors for ad servers, monetization platforms, order-management and finance/ERP systems, plus custom API connectors - with intelligent schema detection that adapts automatically when a source changes underneath you.

Transform

Make it trustworthy

Real-time transformations that blend, cleanse, validate, reconcile and normalize data. Lineage tracking and audit trails are built in, so you can prove where a number came from instead of guessing.

Publish

Ship to your warehouse

Governed data products land in BigQuery, Snowflake or Redshift as a single source of truth - ready for BI, reporting, and the analytics your revenue team actually asked for.

Monitor

Catch it before finance does

Intelligent Alerts watch revenue and reconciliation in near real time, flagging anomalies for publishers before a quiet discrepancy becomes a quarterly surprise.

Govern

Restrictive by default

SOC 2 Type II certified, with IAM-scoped access and role-based permissions - Data Viewer, Job User, and MCP Tool User - so sensitive revenue data stays locked down.

Ask

Plain-English answers

Query governed data in plain language through Claude, Gemini, or any MCP-compatible LLM - the AI layer, but pointed at numbers that have already been made reliable.

03

The Money

In July 2023, Switchboard raised a $7 million Series A, led by GFT Ventures and Quest Venture Partners, with Two Sigma Ventures among the backers. The framing of the round was refreshingly literal: the money was to align business needs with data engineering resources - which is to say, to help companies stop rationing the scarcest thing they have, which is an engineer's time.

Across its history the company has raised roughly $11.9 million, with earlier support from a spread of firms including Sage Partners, Penn Capital, Accomplice Ventures and CrunchFund. It is, deliberately, not a company built to be enormous headcount. Twenty-three or so people, a deep bench of distributed-systems experience, and a problem nobody else wants badly enough to out-execute them on.

Series A '23
$7.0M
Total raised
$11.9M
Est. revenue
~$2.1M
Team size
~23

Figures approximate; revenue is a third-party estimate.

04

The People

CEO & Co-Founder

Ju-kay Kwek

15+ years in enterprise-scale data analytics. A founding executive of Google Cloud Platform who launched BigQuery; earlier, product and engineering roles at Wily Technology and R&D at SAP. MS and BA from Carnegie Mellon.

Co-Founder

Michael Manoochehri

Part of the BigQuery launch team and author of Data Just Right: Introduction to Large-Scale Data & Analytics. Built a real-time crowd-reporting tool for Google I/O; degrees from UC Berkeley.

Chief Architect

Topher Olson

30+ years building distributed storage and apps at scale. Creator of the open-source distributed database TreodeDB and six years at Google running data centers and services.

Product leadership includes Manny Balbin, Head of Product for Media and Publishing, with 15+ years in digital media and ad technology across Freestar, PMC and Quantcast - a background that maps precisely onto the industry Switchboard serves.

05

Timeline

2012

Founders launch Google BigQuery

Kwek and Manoochehri help ship BigQuery and watch media companies collect more data than they can use.

2014

Switchboard Software founded

The team leaves Google to build a data engineering automation platform in San Francisco.

2023

$7M Series A

GFT Ventures and Quest Venture Partners lead a round to align business needs with data engineering resources.

2025

The AI repositioning

Switchboard reframes as “the data layer underneath enterprise AI,” adding governed plain-English access via Claude, Gemini and MCP.

06

Who Uses It

Publicly referenced customers, weighted heavily toward media, publishing and entertainment.

Financial Times DotDash Meredith Fandom The Weather Company Pearson DISH Orange Theory Fitness CarGurus

“The data layer underneath enterprise AI.”

Switchboard Software - Positioning, 2025
07

Questions

What does Switchboard Software do?
It automates enterprise data engineering - ingesting, transforming, blending, validating and normalizing high-volume revenue and marketing data, then publishing trustworthy data products to cloud warehouses like BigQuery and Snowflake.
Who founded Switchboard Software?
Ju-kay Kwek (CEO) and Michael Manoochehri, members of the team that launched Google BigQuery, founded the company in San Francisco in 2014.
Who uses Switchboard Software?
Enterprise marketing, revenue and data teams, especially in digital media and publishing. Referenced customers include the Financial Times, DotDash Meredith, Fandom and The Weather Company.
How much funding has Switchboard raised?
About $11.9M total, including a $7M Series A in July 2023 led by GFT Ventures and Quest Venture Partners.
How is Switchboard related to AI?
It positions itself as the governed data layer underneath enterprise AI, offering plain-English access to trustworthy data through Claude, Gemini and any MCP-compatible LLM.