Oppy

Oppy: fixing the moment, not the fit

A sales intelligence platform that turns buying signals into actionable Strategy Cards

Oppy is a sales intelligence platform for B2B tech companies running outbound. It turns real-time market signals into Strategy Cards that tell sales reps which company to reach out to, why they're likely in a buying window right now, and delivers intelligence straight to Slack, CRM, and other tools with no RevOps setup required.

The core insight Oppy validated with their own customers: 80% of replied-but-not-closed conversations fail because of timing, not fit. The ICP is right. The pitch is right. The moment is wrong. Oppy fixes the moment.

As a six-person team burning compute time on the MareNostrum 5 supercomputer to train their proprietary signal synthesis model, Oppy needed to be building intelligence, not infrastructure. They needed a signal data partner who'd already solved the hardest problem in the stack.

The signal layer is genuinely hard to build from scratch

18-24 months and half a million euros just to reach table-stakes quality

Knowing a company raised a round is public information. Knowing that the same company also hired two SDRs and switched their CRM in the same 30-day window, and that this specific combination statistically predicts an open buying window, requires years of signal collection, cleaning, enrichment, and pattern recognition at scale.

Oppy's estimate for building in-house: minimum 18 months, 2 additional senior data engineers at €120-150K each, plus significant infrastructure costs. Total: €400-600K in additional runway just to reach the signal quality and coverage Autobound already had. And that's before building any intelligence on top of it.

Build the intelligence. Buy the signals.

Oppy's moat is synthesis, not data collection

The established players built their moat in raw signal pipes: data at scale. That's not Oppy's moat. Oppy's moat is synthesis. They ingest Autobound's tier-1 signal data and run it through a proprietary signal-weighting architecture trained on the MareNostrum 5 supercomputer.

They don't compete on who has more signals. They compete on who turns signals into finished intelligence: the insight that funding + SDR hiring + a tech stack change, together, mean this account is ready now.

Partnering with Autobound gave Oppy the data foundation in weeks, not years, so they could put all engineering resources into the synthesis layer that none of the established players have built.

20% of contacted accounts from Strategy Cards in month one

Signal convergence is where the intelligence lives

In their first month of alpha, one of Oppy's customers, a 20-person B2B SaaS company, sourced 20% of all accounts she contacted through Oppy-generated Strategy Cards. Each card was built from converging Autobound signals: a company opened a new SDR position, raised a seed round six weeks prior, and added HubSpot to their tech stack in the same window.

Without signal depth at that level, Oppy would be working with single triggers: one alert at a time. The convergence is where the intelligence lives. That's what Autobound's signal data foundation made possible from day one.

The feedback loop: compounding intelligence

Every customer interaction trains the model to predict better

Every time a customer approves or rejects a Strategy Card, and every time they report whether a deal closed, that signal trains Oppy's model. They're building compounding intelligence: the more customers use Oppy, the better it predicts which signal combinations mean "buy now" for each specific ICP.

Autobound's signal data foundation lets Oppy focus their MareNostrum 5 compute on learning those patterns rather than collecting raw events. The result: an intelligence layer that gets smarter with every interaction, built on top of signals that are already best-in-class.