Default launches AI-native GTM data layer to replace the 'Frankenstack' plaguing B2B sales teams
Jun 1, 2026 with Nico Ferreyra
Key Points
- Default launches an AI-native data layer that connects CRMs, website signals, and sales tools into a queryable semantic model, targeting the fragmented 'Frankenstack' most revenue teams rely on.
- Founder Nico Ferreyra positions the product as a data foundation before Salesforce can credibly build one, having raised $10 million last year.
- Early traction comes from referral loops embedded in scheduling flows at fast-growing startups like Owner.com, Ramp, and Rippling.
Summary
Read full transcript →Default's AI-native GTM data layer
Default, a B2B go-to-market platform, spent the last few years building inbound scheduling, routing, and enrichment tools for fast-growing software companies. Last week it launched something fundamentally different: an AI-native data layer designed to replace what Ferreyra calls the "Frankenstack" — the tangle of disconnected CRMs, enrichment tools, and sales systems that most revenue teams have accumulated over the past decade.
The new product is a real-time data warehouse that plugs into Salesforce, HubSpot, or similar CRMs and pipes in website signals, form submissions, meeting activity, and other go-to-market context. On top of that sits a semantic modeling layer that translates the combined data into something AI agents can actually query and act on. The pitch is that every growth problem in go-to-market is ultimately a data problem, and most revenue teams have never had clean enough data to do anything sophisticated with it.
Ferreyra is direct about how bad the baseline is. He has never met anyone who doesn't hate their CRM. Most revenue org leaders don't spend time in data warehouses or writing SQL — they're pulling reports and trying to answer questions that should be simple but aren't. The Frankenstack means every incremental dollar of revenue past a certain threshold requires an army of operations people just to keep the systems running.
“We spent the last few years building out a bunch of top of funnel orchestration tools primarily for inbound scheduling, inbound routing, enrichment for very fast growing B2B companies. We took a really big bet and basically built a new product over a good chunk of last year... We give you an out of the box data layer — a real-time data warehouse you plug into your CRM, whether that be Salesforce, HubSpot, or similar. We pipe in all of that really rich context that agents can use to answer these tough questions about your business.”
Competitive positioning
Every road in this category eventually leads toward Salesforce. Ferreyra acknowledges that explicitly, and says Default has been building with that incumbent reality in mind from day one. The current move is to establish the data and semantic layer before the larger platforms can credibly offer it.
The customer base spans software companies, medical devices, fintech, and services businesses — Ferreyra argues the Frankenstack problem is sector-agnostic. Early growth came largely from referrals driven by a "Powered by Default" logo on the inbound scheduling flows of fast-growing startups. He points to Owner.com's go-to-market operations team, led by CRO Kyle Norton, as an example of what's possible when companies treat distribution as a product. Ramp and Rippling get similar mentions.
Funding
Default raised a $10 million round last year. Ferreyra does not name a lead investor or provide additional financial detail in the conversation.
The product launched five days before this conversation. Ferreyra says it has been well-received — he was on his twelfth meeting of the day.
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