Agents map your TAM
Strip the product to atomic value units. Enumerate angles × personas × verticals × moments worth testing. Agents load it all into context — and remember it forever.
We build semi-autonomous agents trained on your company's context to run thousands of experiments across your TAM until the wedge reveals itself — then keep going.
Five agents do the volume. Two humans do the judgement. The loop between them is the product.
Runs angle × persona experiments across your TAM until the wedge reveals itself.
Replies in your voice, qualifies, and books warm leads straight into your calendar.
Catches drop-offs, reaches out on the right channel, and rebooks them automatically.
Keeps cold leads warm with signal-triggered touches — never generic, never a blast.
Mines closed-lost and dormant lists, finds the right reason to re-open the door.
The teams who win horizontal categories don't outwrite the competition. They out-search them. More angles tested, more verticals probed, more personas eliminated, week over week.
Relevance is a fleet of semi-autonomous agents with access to the full context of your product, your past sends, and every reply you've ever gotten. They generate hypotheses, ship variants, read signal, and feed it all back into a shared graph — so no campaign starts from zero and every week the system gets sharper. Humans bring taste and final calls. Agents do the reps.
Hover any module. The apparatus opens, the agent goes to work.
Strip the product to atomic value units. Enumerate angles × personas × verticals × moments worth testing. Agents load it all into context — and remember it forever.
Each week, agents ship dozens of variants into tightly scoped audiences. Humans approve the taste calls. No vanity opens — replies, meetings, pipeline by hypothesis.
Positive signals don't sit in a queue. Reply agents handle objections in your voice; voice agents pick up the phone and book the meeting. Every conversation streams back into the graph.
Statistical hygiene applied to outbound: confidence intervals, segment cuts, control groups. Kill 70% of what we ship. Double the 30% — and the graph remembers why.
Every send, reply, and meeting feeds the same memory graph. Next week's campaigns start where last week's ended. TOFU + MOFU run themselves.
Vertical × persona × angle × moment. The graph proposes the next experiment worth running based on everything it's seen.
Horizontal products — devtools, data infra, AI platforms, workflow software, agencies — have the biggest experiment surface in B2B. That's where the asymmetric upside lives. It's also where most teams default to "broad messaging" and watch reply rates collapse.
Relevance is built for exactly this shape of company.
Same primitive, ten developer archetypes. We isolate which persona converts on which pain.
Use-cases multiply faster than you can write copy. We map the live demand curve weekly.
Every department buys for different reasons. We run dept-by-dept experiments in parallel.
Vertical specialization is the moat. We find which 2–3 verticals deserve your operator hours.
One ICP. One pain. One playbook. Outbound is execution — pick a list, write copy, hire SDRs.
N ICPs. K pains. ∞ playbooks. Outbound is search. Pick a system, not a campaign.
“From 'AI for everyone' to 'audit-grade summarization for in-house legal.'”
“Wedge surfaced in vertical #7 (logistics ops), not the obvious one (fintech).”
“Five departments tested in parallel. Two carried the company.”
Honest scorecard against the alternatives you're probably weighing.
| feature | / relevance Us | / build it In-house | / traditional Agency | / autopilot AI SDR |
|---|---|---|---|---|
Speed to launch No hiring, no tool sprawl. Agents + infra live on day one. | 2 wks | 3–6 mo | 4–6 wks | 1 wk |
Time from your team You share context, approve taste calls. We run the apparatus. | ~1 hr/wk | 40+ hr/wk | 3–5 hr/wk | 5+ hr/wk |
Research depth Every prospect: LinkedIn activity, company signal, role context. | Deep | Mixed | Mixed | Shallow |
Experimentation coverage Dozens of variants in parallel, structured A/B/n with kill rules. | Built-in | Rare | Rare | Templates |
Learning velocity The graph remembers. Next week starts where last week ended. | Compounds | Slow | Resets | None |
Reply + voice agents Objection handling + outbound calls until the meeting is booked. | Included | Manual | Manual | Basic |
Deliverability Domains, warmup, rotation, inbox placement — owned end-to-end. | Managed | DIY | Managed | Mixed |
Data ownership Full CSV export of contacts, enrichments, sends, replies — anytime. | Yours | Yours | Partial | Locked |
One human partner. Full context from kickoff through renewal.
Align early, course-correct as the apparatus produces signal.
Direct line to the operators running your agents. No ticket queue.
Volume to run real experiments — not one bet on one message.
Multi-channel coordination for prospects who don't live in their inbox.
Objection handling in your voice, outbound calls until meetings book.
A/B/n with kill rules. Every send is a data point, not a guess.
ICPs, personas, objections, signals — the memory that compounds.
What shipped, what worked, what we're killing, what's next.
Warm replies and enrichment flow into your pipeline automatically.
Contacts, enrichments, campaigns, replies — yours to keep, anytime.
We earn the renewal; we don't trap it.
You bring taste and final calls. The apparatus does the reps.
Everything you need to run outbound as a continuous experiment — not a one-shot bet.
Why "we sell to mid-market across industries" is the most expensive sentence in your deck.
A taxonomy of bad signals, and how we throw out 70% of variants without a meeting on the calendar.
Treat cold email like a telescope, not a megaphone. What you point it at matters more than what it says.
Agencies execute. We run an experimentation system. The deliverable isn't sent emails — it's a documented wedge plus the operating system to keep searching. Most agencies couldn't tell you which of their last 1,000 sends was the one that worked.
Probably not. Relevance is built for products with N×M×K market combinations to search. If your ICP is already crisp, you need execution, not search. We'll happily refer you.
Search space mapped in week 1. First high-signal variants by week 2. A defensible wedge — vertical, persona, angle, proof — typically lands between week 4 and week 8 depending on send volume and TAM density.
Yes — as instrumentation, not as a personality. AI runs variant generation, segmentation, and signal classification. Humans own hypothesis design, taste, and kill/double decisions. The system is the asset; the model is a tool inside it.
Domain knowledge, a positioning hypothesis (even a weak one), and a willingness to kill ideas you're attached to. Plus access to your inboxes, a CRM, and one operator-level human on your side.
30-minute demo. We'll show you the agents running on a real TAM, the graph compounding in real time, and tell you straight if Relevance is wrong for you.