The predictive intelligence layer for enterprise - wiring your internal systems to real-time market signals, then telling you what to do and when.
The green circle that quietly onboarded a basketball dynasty, a Hollywood agency and a golf tour before it owned a homepage. San Francisco, 2025.
Here is a fact about enterprise software that everyone knows and nobody likes to say out loud: most companies already have more data than they can use. The CRM is full. The marketing platform is full. Somewhere there is a spreadsheet that a very tired person updates by hand. The bottleneck was never collection. It was knowing which of the ten thousand things in front of you actually matters this week.
CRED, a San Francisco company that exited stealth in June 2025, is a bet on that specific gap. It bills itself as a predictive intelligence platform, which is a phrase doing a lot of work in 2025, so it helps to be concrete. CRED takes the systems you already run - CRM, marketing automation, email - and joins them to a large pile of external market signals: who is hiring, who just raised money, who is spending on ads, which executive just changed jobs. Then it scores all of it and hands you a ranked list of what to do.
The pitch, which the company repeats often enough that you should probably take it seriously, is that this kind of forward-looking edge used to be expensive and exclusive. Hedge funds paid for it. Everyone else got a quarterly report describing things that had already happened. CRED wants to move that clock forward - to tell a sales team which customer is about to churn and which competitor is about to stumble while there is still time to act.
Whether "predictive certainty" holds up under scrutiny is a fair question, and one worth keeping in your back pocket. But the mechanism is legible, which is more than you can say for a lot of AI pitches: internal data plus external signals, scored, and pushed back into the tools people already live in. The plumbing, in this case, is the product.
Records get topped up with live market signals - funding events, hiring trends, ad spend, executive moves - drawn from data on 200M+ companies and 900M+ contacts.
Bespoke and off-the-shelf models score prospects and accounts on fit, churn risk, upsell likelihood and intent, so the right deal rises to the top.
A built-in outreach tool plugs into existing systems - email prospects, trigger follow-ups and launch campaigns without switching apps.
Turns thin records into rich ones using real-time signals rather than stale, purchased lists - the company says it generates petabytes of net-new insight each month.
Predictive and custom scoring models assess prospects on likelihood to convert, churn risk and upsell potential so teams prioritize with evidence.
Connects to your stack and lets teams execute - email, follow-ups, campaigns - closing the gap between an insight and an action.
The core engine unifies internal systems with external market data and produces ranked, contextualized recommendations and automated workflows.
CRED reported 25 large enterprise customers on board before it had a public website - go-to-market and revenue teams across sports, entertainment and beyond.
A serial entrepreneur with multiple prior exits and roughly a decade leading AI products, Carr-Harris founded and runs CRED. His stated aim is to strip away the overhead of managing complex data infrastructure so teams can spend their time acting on insight instead of assembling it.
To give every business the predictive advantage once reserved for hedge funds - turning fragmented systems and signals into intelligent actions, at scale.
Round participants