Pipeline in the markets generic AI can't reach
Quantonica finds the buyers, reads up on every account, and runs the outreach until someone writes back. Then it stops, and the conversation is yours. Every meeting it books lands in your CRM, tagged to the campaign that earned it.
Our campaigns have booked meetings with buyer teams at
The gap
Same AI. Same signals. Same emails. Every industry.
That's how every horizontal AI outbound platform works. The output is predictable: high volume, low relevance.
Generic AI outbound
Signal
“Company raised Series B”
Contact
“VP of Operations”. Title match
Message
“I noticed your company is growing fast…”
Quantonica
Signal
“Published CSRD report with Scope 3 gaps”
Contact
“Head of Carbon Procurement. Offset budget owner, per their own sustainability report”
Message
References their specific disclosure and your solution
The gap is what the AI knows about your market.
How it works
White glove setup. Meetings in your CRM.
From target list to booked meeting in your CRM.
We learn how you sell
Who you sell to, what you sell, and the signals that show a company is ready to buy. We map decision makers by mandate, skills, and authority, not title and seniority.
We build your vertical engine
We connect the industry data sources, build your targeting, write the messaging frameworks with you, and warm the email and LinkedIn accounts so your messages land in inboxes.
We launch and iterate
Real outreach at pilot scale, against goals we agree upfront. Every pilot so far has beaten them. We watch every campaign and change what isn't working: targeting, messaging, send patterns. Sequences stop the moment a buyer replies; you take the conversation. You see every send, reply, and meeting land live, and you decide to grow on your own numbers.
Live in weeks, with a team on your account. A scoped pilot first: goals, volume, and price agreed before launch. No self-serve tier.
Verticals
One methodology, rebuilt for each market.
Each vertical gets its own data sources, signals, decision-maker model, and messaging. The engine stays; what it knows changes.
3-7% of cold emails get a reply · 14-22% on LinkedIn
Signals
Carbon credit retirements (Verra, Gold Standard, ACR). ESG report publications. Net-zero and SBTi commitments. CSRD compliance deadlines. Key sustainability hires.
Data sources
Verra Registry. Gold Standard. CDP disclosures. SBTi target database. Company ESG filings. Sustainability job postings.
Decision makers
Not "Director of Sustainability." We analyze mandate scope: who owns the carbon budget, who runs offset procurement, who has vendor decision authority. Title is the last filter, not the first.
Messaging
Every message ties a signal to what you sell: a carbon credit retirement leads with your offset solution, a Scope 3 gap in their latest report leads with your measurement platform. Nothing is templated.
The methodology
Five layers generic outbound skips.
One record behind them: every pilot so far has beaten the goals it was scoped against. A great BDR can do each of these for a handful of accounts. Nobody sustains all five for every account, every week. The engine does, and at that consistency the numbers work in your favor.
Signal-based targeting
We don't start with a list. We start with buying signals specific to your market: regulatory filings, procurement events, public commitments, hiring patterns. Outreach fires when something changes in your prospect's world.
Decision makers by mandate
Job titles are unreliable. A "VP of Sustainability" at one company owns the offset procurement budget. At another, they write blog posts. We read the reports, the news, and the LinkedIn footprint to tell them apart, and target the person who approves the purchase.
Messaging tied to value
A carbon credit retirement triggers outreach about your offset solution. A hiring surge triggers outreach about your placement services. Every message cites the prospect's own filing, retirement, or hire. No signal, no send.
Coordinated campaigns, year-round
Product launches, event follow-ups, cold lead revivals, seasonal pushes. All running at once. The failure mode is predictable: the same prospect hears from you three times about three different things. We run them as one system: no prospect ever hears from two campaigns at once, and every campaign knows what the others have already said. Before a conference, we book meetings with attendees so you land with a full calendar. Every meeting carries its campaign, so winners scale and losers get cut.
Infrastructure for deliverability
Warmed email domains. Monitored sender reputation. Optimized send volumes and patterns. Bounce and complaint rate management. We build and maintain the infrastructure so your messages keep landing in inboxes.
Results
Every meeting has a receipt.
14-22%
LinkedIn reply rate, across live client campaigns
3-7%
Email reply rate, across live client campaigns
Scoped pilots with goals agreed upfront. Every pilot so far has beaten them. No long-term commitment until we've both seen measurable value.
Quantonica vs. horizontal AI outbound
They automate a generic workflow. We know your market and run it for you.
| Quantonica | Horizontal AI SDRs | |
|---|---|---|
| Industry-specific data sources | ✓ | ✕ |
| Decision makers identified by mandate & authority | ✓ | ✕ |
| Messaging tied to industry buying signals | ✓ | ✕ |
| Setup | We sit down with you: your differentiation, marquee clients, what already resonated, the outreach that already worked. Messaging reworked on your feedback; custom campaigns for conferences and events. | Automated intake: targeting built from your website content, live in days. |
| Email accounts kept out of spam, managed for you | ✓ | ✕ |
| Multi-channel outreach | ✓ | ✓ |
| CRM integration | ✓ | ✓ |
| Works for any industry out of the box | By vertical | ✓ |
We don't serve every market. We go deep in the ones we serve.
Common questions
Your buyers speak a language generic AI doesn't know.
Tell us your market. We'll walk you through the signals we track, the decision makers we'd map, and what a pilot would test.