Dissolve the data bottleneck tanking your
AI Investment
Market Dominance
Revenue Clarity
About You
Big Targets.
AI Imperatives.
Yuck Data.
Most B2Bs stall on their data health journey. The chaos looks bottomless and the turf wars make it worse.
Pull the handbrake off your AI investment by focusing first on your market intelligence layer anchor: your promised outcomes.
You’re already telling the market what you’ll deliver. Your customers bought your product to get those outcomes. Prospects lean in because they value what they’re hearing. That makes promised outcomes the one thing every functional area can agree on. No legacy data vocabulary, no turf wars.
Your Serendipitus Intelligence Layer mines promised outcomes data across Product, Marketing, Sales, and Success. A common language. For the first time, you’re not divining. You’re certain. Certainty is exactly what your AI has been waiting for.
Your current tech landscape gives you activity and consumption data. Muddled, siloed, unstructured.
Not great for healthy AI or business clarity.
Mulesoft:
Organizations now have an average of 976 discrete applications, an increase of 133 in the last 12 months. Yet only 28% are integrated, a slight decrease from a year ago.
FiveTran:
The average amount of data engineers’ time that data leaders report they spend manually building and managing data pipelines.
Diginomica & Serendipitus:
On average, the percent of time your teams are spending manually cobbling data, outside of systems, in spreadsheets.
optimize -> compound -> Virtuous Loop
The market intelligence layer your tech stacks are missing. Clean, structured GTM data anchored on your promised outcomes, so for the first time your AI and your teams are working from the same trusted picture.
Maureen Blandford, Founder
Maureen has been solving for the GTM siloes for over decade. As a B2B Tech CMO with roles in the US and Europe, she’s lived the pain alongside terrific exec team colleagues.
“I spent 10+ years inside Product, Marketing, Sales, & Success watching the same pattern: four. well-run teams, four different realities. No one with the full picture. No one aligned globally. Prepping for ops, exec team, and board meetings – misery.
And now every team racing to deploy AI on data that was never built to be trusted in the first place. It’s a bad bet and why I’m building Serendipitus.”
Would it be helpful to visualise your
- market intelligence layer powered by your 1st party data
- context graph that connects signals across teams
- bi-directional PMSS workflows, learning and compounding
