JON CARR-HARRIS CRED RAISES $15M SEED LED BY DEFY.VC PREDICTIVE AI 60-90 DAYS AHEAD WITH 92% ACCURACY $100M+ CUSTOMER REVENUE IMPACT PRE-LAUNCH GOLDEN STATE WARRIORS · UTA · PGA AMONG FIRST CLIENTS 200+ NATIVE INTEGRATIONS · 900M+ CONTACTS DATABASE FORMERLY SWISH LABS ACROSS 30+ COUNTRIES ANGEL INVESTOR · THORCHAIN FOUNDING TEAM ADVISED AIRBNB · KIK · KHAN ACADEMY JON CARR-HARRIS CRED RAISES $15M SEED LED BY DEFY.VC PREDICTIVE AI 60-90 DAYS AHEAD WITH 92% ACCURACY $100M+ CUSTOMER REVENUE IMPACT PRE-LAUNCH GOLDEN STATE WARRIORS · UTA · PGA AMONG FIRST CLIENTS 200+ NATIVE INTEGRATIONS · 900M+ CONTACTS DATABASE FORMERLY SWISH LABS ACROSS 30+ COUNTRIES ANGEL INVESTOR · THORCHAIN FOUNDING TEAM ADVISED AIRBNB · KIK · KHAN ACADEMY
Jon Carr-Harris, Founder & CEO of CRED
YesPress Profile

Jon
Carr-Harris

Founder & CEO  ·  CRED  ·  San Francisco

He built a platform that predicts your business future - 60 to 90 days out. Now the Golden State Warriors, UTA, and the PGA trust that prediction engine before making their next move.

$20M+
Total Raised
92%
Predictive Accuracy
200+
Native Integrations
30+
Countries, Swish Labs
AI / Predictive Intelligence Serial Founder Angel Investor San Francisco

The Oracle
of Enterprise AI

Jon Carr-Harris finished high school a year early. Spent twelve months volunteering internationally. Enrolled at McGill, started a company during his second year, and then - while most founders are still figuring out their first product - went on to build a consulting empire that would eventually stretch across 30 countries. Somewhere in there, he also worked on the Obama campaign, tried to bring Khan Academy to Canada, and joined the founding team of a DeFi protocol that became a pillar of decentralized finance.

All of that before CRED. The company he started in 2023, operated in total stealth for two years, and quietly signed 25 enterprise clients - including the Golden State Warriors, United Talent Agency, and the PGA - before the world knew it existed.

CRED launched publicly on June 30, 2025, the same day it announced a $15M seed round led by defy.vc. The pitch is both audacious and specific: CRED is the intelligence layer that tells you what is going to happen to your business before it happens. Not a dashboard. Not a report. An answer, with a prediction horizon of 60 to 90 days and a claimed accuracy rate of 92%.

"We're in the age of AI where contextual data can now lead to profound business outcomes. Just like in science fiction, we can finally start to predict the future." - Jon Carr-Harris, Founder & CEO, CRED

The technical architecture is built on data unification - pulling from 200+ native integrations (CRM, HRIS, marketing, finance, email) and layering on an external signal layer drawn from 10,000+ sources: funding activity, hiring patterns, digital ad spend, executive movement. Synthetic data modeling fills the gaps that real data can't cover. The result, per Carr-Harris, is organizational memory that doesn't evaporate when employees leave.

Before CRED, there was Swish Labs - the distributed tech consulting and venture ecosystem he founded in 2013, scaled globally, and exited circa 2019. There was Lovely Inc., the ML-powered real estate app where he served as Senior Product Manager and watched the company get acquired. There was CFPF, the talent investment fund he ran until it was acquired by Arcadia. And there was his angel investing work - quiet, consistent, attached to names like Airbnb and Kik back when those bets still required conviction rather than hindsight.

The pattern that runs through all of it: Jon Carr-Harris doesn't optimize for speed. He optimizes for signal. Two years of stealth at CRED wasn't secrecy for its own sake - it was proof-gathering. Twenty-five enterprise clients, $100M+ in documented revenue impact, $20M+ in cost savings, and 10,000+ hours of monthly manual data entry eliminated. He showed up to the public launch not with a pitch but with evidence.

The Intelligence Layer
for Enterprise

CRED doesn't just analyze what happened. It tells you what will happen - and when to act.

📊

Data Unification

200+ native integrations spanning CRM, HRIS, marketing, finance, and email - combined with a proprietary external database of 200M+ companies and 900M+ contacts across 10,000+ sources.

🤖

Predictive Intelligence

AI models deliver scoring on customer fit, churn propensity, upsell likelihood, and intent signals - with a 60-90 day prediction horizon and 92% claimed accuracy. Synthetic modeling fills data gaps.

Automated Workflows

Real-time alerts and AI agents that take action inside existing enterprise tools. No new dashboards to check. The intelligence surfaces where work already happens.

💵

Revenue Signals

Funding activity, hiring trends, digital ad spend, executive movement - external signals decoded and cross-referenced against internal data to surface revenue opportunities before they're obvious.

📋

Organizational Memory

When employees leave, they take knowledge with them. CRED creates persistent intelligence structures so that institutional know-how doesn't walk out the door.

🎯

Lookalike Modeling

Synthetic data modeling identifies lookalike accounts - finding your next best customer by mapping the pattern of your best current ones against 200M+ companies in the external database.

$100M+ Revenue generated for customers
$20M+ Cost savings delivered
10K+ Hours/month of data entry eliminated
25 Enterprise clients pre-launch

From Stealth to Stage

The Long Stealth

Two years is a long time to keep a secret. Most startups announce seed funding before product-market fit. CRED did the opposite: it went quiet in 2023, signed enterprise contracts, measured impact, and only surfaced when the numbers were ready to do the talking. By launch day - June 30, 2025 - CRED wasn't pitching potential. It was presenting receipts.

The choice wasn't timidity. Carr-Harris had been through enough product cycles - at Lovely, at Swish, at CFPF - to know that early noise often substitutes for real signal. The clients he wanted (C-suite buyers at technology companies, financial services firms, sports organizations) make decisions on evidence, not momentum. So he built the evidence first.

The Swish Chapter

Swish Labs was the proving ground. Founded in 2013, it grew into a global distributed tech consulting and venture ecosystem operating across 30+ countries - an unusual structure for an early-2010s startup, built on remote collaboration before remote work was a mainstream idea. Clients included Fortune 500 names: Prudential, Nasdaq, Gatorade, HSBC. Carr-Harris ran it for six years before exiting, the kind of long, unglamorous build that doesn't fit neatly into a tweet but teaches you things that no accelerator program covers.

The Swish years gave him something that most technical founders lack: a granular understanding of how large organizations make decisions, where data gets lost, and why good information so rarely reaches the people who need it in time to act on it. CRED, in many ways, is the enterprise software that Swish Labs clients needed but couldn't find.

The Advisor Network

Before Swish was even fully off the ground, Carr-Harris was advising Kik Interactive - the messaging app that would accumulate 300 million registered users. Before that, he was working to establish Canada's first Khan Academy chapter. His advisory relationship with Airbnb predates most people's awareness of what Airbnb was trying to do. These weren't celebrity advisory roles taken for logo value. They were early-stage bets on specific founders with specific problems, made when the outcomes were genuinely uncertain.

The pattern holds with THORChain. Joining the founding team of a decentralized cross-chain liquidity protocol in 2018 - when DeFi was still a concept rather than an industry - was a bet on infrastructure at a moment when the thesis required real conviction. Carr-Harris held that position through 2021, long enough to see the thesis play out.

The Hedge Fund Thesis

The central premise of CRED - "to give every business the predictive advantage once reserved for hedge funds" - is either a remarkable claim or a very clear description of what high-frequency financial modeling actually does, applied to enterprise operations. Hedge funds have always had the best data, the fastest feeds, and the most rigorous signal-processing infrastructure. The difference between a successful trade and a failed one is often a matter of being 30 minutes ahead of the market.

Carr-Harris is making the argument that enterprise decisions - who to hire, which customer to prioritize, when to expand, whether a key account is about to churn - should be made with the same quality of forward-looking intelligence. The gap between what financial institutions know and what most businesses know is, in his framing, the market CRED is closing.

The investors who backed the $15M seed round - defy.vc leading, with HOF Capital, Alumni Ventures, LDV Partners, Streamlined Ventures, SilverCircle Ventures, Octopus Ventures, BAM Ventures, and Gaingels participating - evidently find the thesis compelling. So do the Golden State Warriors, who presumably know something about the value of predicting outcomes before they happen.

To give every business the predictive advantage once reserved for hedge funds.
Jon Carr-Harris  ·  CRED Mission Statement

The Long Game

2008
Precinct Captain & Fundraiser, Obama for America campaign
2009-2011
Co-Managing Director / Senior Product Manager, Wildcard Montreal
2012
Advisor, Khan Academy - attempted to establish Canada's first chapter
2013
Founded Swish Labs & Ventures - global distributed tech consulting ecosystem
2013-2014
Advisor, Kik Interactive (300M+ registered users messaging platform)
2014-2015
Senior Product Manager, Lovely Inc. (ML real estate app, acquired by Rentpath)
2013-2019
Scaled Swish Labs to 30+ countries; advised Fortune 500 clients including Prudential, Nasdaq, Gatorade, HSBC
2018-2021
Founding team, investor & advisor, THORChain (decentralized finance protocol)
2020-2022
Managing Director, CFPF - Fund for Investing in Talent (acquired by Arcadia)
Jan 2023
Founded CRED - AI-powered predictive intelligence platform; began stealth operations
Apr 2025
Announced CRED coming out of stealth on LinkedIn with initial enterprise customer base
Jun 2025
CRED public launch + $15M seed round led by defy.vc; 25 clients, $100M+ revenue impact documented

Three Continents,
One Founder

He studied economics in Montreal, entrepreneurship at Stanford, Spanish literature in Salamanca, and software engineering at a coding bootcamp in Toronto. The curriculum was designed by curiosity, not a career counselor.

McGill University
B.A. Economics & Political Science
~2005-2009  ·  Montreal, Canada
Universidad de Salamanca
Spanish Language & Literature (Exchange Program)
2009  ·  Salamanca, Spain
Stanford University
Entrepreneurship & User Experience
2011  ·  Palo Alto, California
Bitmaker / General Assembly Canada
Software Engineering
2013  ·  Toronto, Canada

Who Backed the Vision

CRED's June 2025 seed round drew a consortium of enterprise-focused and global investors who collectively bet $15M on the predictive intelligence thesis.

⭐ defy.vc (Lead) HOF Capital Alumni Ventures LDV Partners Streamlined Ventures SilverCircle Ventures Octopus Ventures BAM Ventures Gaingels
Total Raised to Date
$20.2M
Last raise: June 2025  ·  Stage: Seed

Jon Carr-Harris
in Conversation

YouTube Interview  ·  2025
CRED's $15M Bet on AI: Inside the Founder's Vision for Smarter GTM and Market Intelligence

Jon Carr-Harris discusses CRED's approach to predictive intelligence, the stealth journey, and why every business deserves the forecasting power of a hedge fund.

Seven Facts
About Jon

01
He finished high school a year early, then spent twelve months traveling internationally and volunteering before enrolling at McGill. The gap year was self-directed before gap years had branding.
02
He worked on the Obama 2008 presidential campaign as a precinct captain - organizing voters on the ground before pivoting to building tech products that organize data at scale.
03
CRED's database covers 900M+ contacts and 200M+ companies. For context: that's more people than live in any country on earth except China and India.
04
CRED's first commercial vertical was sports and entertainment - counting the Golden State Warriors and PGA among its earliest clients. Predictive intelligence for organizations that already live and die by statistics.
05
He was on the founding team of THORChain, one of the most significant decentralized cross-chain liquidity protocols in DeFi - a bet he made in 2018, before DeFi summer was a concept.
06
Swish Labs, the consulting network he built and exited before founding CRED, spanned 30+ countries - a globally distributed operation assembled before "remote-first" was a hiring strategy, not just a pandemic response.
07
CRED operated in stealth for roughly two years, signing 25 enterprise clients and generating $100M+ in documented customer revenue before making a single public announcement.

Story Ideas
Worth Pursuing

Profile
Jon Carr-Harris Built a Company That Sees 90 Days Into Your Business Future
A deep dive into how CRED's AI engine combines internal and external data to make enterprise predictions, and why Jon built the platform in stealth for two years before revealing it.
Origin Story
From Obama Campaign Precincts to AI-Powered Prediction Engines
Tracing how political organizing, global consulting, and a decade of product work shaped the philosophy behind CRED.
Interview
Why Jon Carr-Harris Thinks Every Business Should Think Like a Hedge Fund
The CRED founder on his thesis that predictive intelligence - once exclusive to finance - should be democratized for all enterprises.
Funding
CRED's $15M Bet: How Jon Carr-Harris Plans to Become the Intelligence Layer of Enterprise Software
Breaking down the seed round, the investor lineup, and what CRED plans to build with its capital in 2025 and beyond.
Vertical
The Golden State Warriors Predict Their Next Move. Their AI Platform Was Built By Jon Carr-Harris.
How CRED landed sports and entertainment as its first vertical, and what Jon Carr-Harris learned from building AI tools for the Warriors and PGA.
Strategy
Stealth Mode for Two Years: Inside Jon Carr-Harris's Patient Approach to Building CRED
Why CRED signed 25 enterprise clients before revealing itself to the world, and what that strategy says about Jon's approach to product-market fit.