Rich Waldron

Co-founder & CEO, Tray.ai · 1 appearance on the record.

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founderexecutive@richwaldron ↗LinkedIn ↗tray.ai ↗

In 2012, Rich Waldron co-founded Tray.io (rebranded to Tray.ai) alongside Alistair Russell and Dominic Lewis to build low-code automation and integration software for business users. Under his leadership, the enterprise platform has expanded into AI-driven workflow orchestration, raising over $100 million in venture backing.

7statements → 3claims → 3claims resolved → 67%fully supported → 4.29/5average certainty → 1.71/5average debate potential →

2 supported 0 partly supported 1 contradicted how the 3 claims stand · each chip opens the sources

3 assertions · 2 insights · 2 disclosures · every statement was checked. The predictions and assertions are the 3 claims: statements the public record can support or contradict. 3 are resolved. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Rich argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported

Tray.io had raised over $100 million in funding by October 2019

“We've raised over a hundred million dollars to date.”

Rich Waldron Oct 22, 2019 ▶ 0:57 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Their most notable contradicted claim

Assertion Contradicted

Companies with automated sales pipelines grow 2.2x faster than competitors

“Your average organization that builds automated sales pipelines grows 2.2 x faster than any other competitor.”

Rich Waldron Oct 22, 2019 ▶ 5:57 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Expressed certainty vs assessment result

none yet certainty 1

none yet certainty 2

none yet certainty 3

50% certainty 4

100% certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

262 words/min while actually speaking · 32.4 um and uh per 1k words

No argument clarity score for Rich Waldron: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 3,422 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

What they said7 Episodes1

Everything Rich Waldron said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Disclosure

Tray.io secretly scores users' technical capabilities via product usage to customize support

“On our backend we actually have built our own scoring models, which will detect dependent on The types of workflows that you're trying to build, and the way you use the product, we assign a score which helps us determine how complex you are, how technical you …”

Rich Waldron Oct 22, 2019 ▶ 14:32 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Assertion Contradicted

Companies with automated sales pipelines grow 2.2x faster than competitors

“Your average organization that builds automated sales pipelines grows 2.2 x faster than any other competitor.”

Rich Waldron Oct 22, 2019 ▶ 5:57 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Insight

Tray.io defines 'citizen automators' as technical ops professionals without engineering backgrounds

“What we kind of define as a citizen automator is somebody that is technically minded that is within a team that is not in the engineering or IT org. It's your sales ops professional. It's your marketing ops professional. It's the group of people that understan…”

Rich Waldron Oct 22, 2019 ▶ 7:52 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Disclosure

Native integrations still forced one customer to re-enter 30 custom fields

“One of our customers was finding that they had to re-enter 30 to 40 different, ah, custom field data between platforms that already had a native integration.”

Rich Waldron Oct 22, 2019 ▶ 9:30 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Insight

Quants and heavy Excel users make the best low-code automation users

“Typically we see people that are quants or particularly useful with spreadsheets and can build heavy Excel models are a really good tray user.”

Rich Waldron Oct 22, 2019 ▶ 14:22 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Assertion Supported

Tray.io had raised over $100 million in funding by October 2019

“We've raised over a hundred million dollars to date.”

Rich Waldron Oct 22, 2019 ▶ 0:57 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Assertion Supported

Average enterprise marketing departments use 91 applications; HR uses 90

“Here are some statistics on the average amount of applications per department in your typical enterprise organization. Special shout out to marketing here with 91 different applications in the average organization, followed closely by HR at 90.”

Rich Waldron Oct 22, 2019 ▶ 4:04 Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)

Appearances (1)

Episode	Date	Speaking time
Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)	Oct 22, 2019	16m

Rich Waldron

The record, in short

Their most notable supported claim

Their most notable contradicted claim

Expressed certainty vs assessment result

How they sound: speaking style how? →

Appearances (1)

Turn any episode into a week of clips.