SimpL, a Milan-based startup, has closed a €1.2 million pre-seed round to build an AI-driven B2B sales platform — one that bills clients per qualified meeting rather than per seat or message.

Techshop Capital led the round, with Vento Ventures and several business angels participating. The capital will fund product development, technology investment, and team expansion across the three founders: CEO Nicolò Fugallo, CTO Raffaele Scarano, and Luca Marco Agnoli.

What does SimpL actually sell?

The platform scrapes public data, including job postings, company pages, and news, then maps it into a proprietary knowledge graph. Deep learning models rank decision-makers by likelihood of response, suggest timing, and draft outreach.

SimpL integrates with email, CRM, and calendar tools. It can initiate and manage conversations until a meeting books, with each reply shaping the next move rather than following preset sequences. The company's documentation does not specify how much human oversight governs these exchanges.

How does the pricing apply across deal stages?

SimpL charges per qualified meeting delivered, not per seat, contact, or message. The model aims to consolidate spending on data, outreach software, and automation into a single outcome-based fee.

For early-stage sales teams of five to fifteen reps without reliable pipeline visibility, the model shifts vendor risk onto SimpL. For larger RevOps organisations with fixed automation budgets, the same structure turns meeting volume into a variable cost — complicating quarterly forecasting and SDR capacity planning.

What do the founders actually claim?

Fugallo positioned the product against the volume-driven outreach tools saturating the category. "Many B2B sales tools focus on increasing the volume of activities, lists, messages and automations, whereas SimpL focuses on identifying which companies are worth targeting, when to contact them and what message to use," he said.

He added that SimpL is "not another piece of software to add to the sales tools companies already use, but an integrated process that learns from every interaction and is paid only on success."

CTO Scarano framed prediction quality as a signal-selection problem. "The challenge is not collecting signals, but understanding which ones actually improve the prediction and which ones are just noise," he said. He cited a shift in the language of a job posting as an example of a low-visibility signal that can outperform a high-profile news event.

What is missing from the announcement?

The press materials name no customers, no meeting volumes, no conversion rates, and no accuracy benchmarks. For a pre-seed company billing only on outcomes, those figures will decide whether the pricing model is a durable advantage or a margin trap.

A useful first benchmark for sales leaders evaluating SimpL would be meeting-to-opportunity ratios across named accounts, plus response rates by seniority tier, both of which remain undisclosed.

Where does the team operate, and what comes next?

SimpL runs from Milan, where it has launched SimpL House, a co-located space modelled on the hacker-house format. The founders intend the physical hub to align research, product, and business development inside one group.

Watch for the first batch of named customers and the qualified-meeting counts that accompany them — the data points that will convert vendor claims into measurable performance.