Relevance/ v2.0Book a demo→
/ semi-autonomous outbound agents

Understand your market better than anyone else competing for it.

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.

Book a demo→See the agents work
currently testing
fintech × audit trail_
experiment_log
live
  • EXP-0412ops lead × audit+18.4%double
  • EXP-0411CFO × margin+12.1%ship
  • EXP-0410PM × tool sprawl+4.2%iterate
  • EXP-0409RevOps × ramp-2.0%kill
  • EXP-0408Founder × velocity+9.7%ship
  • EXP-0407IT × compliance+22.0%double
  • EXP-0406Ops × handoffs+0.4%iterate
n=4,812 sendsw/c 26.05
LIVE
100K
emails sent / mo
ACTIVE
24/7
agents handling replies
SCALING
∞
agents calling warm leads
teams running the system
keragonTempoLARRIDINLucent.Upsolve AIMSPilotHatchproofkeragonTempoLARRIDINLucent.Upsolve AIMSPilotHatchproof
01 / fleet

Agents run the experiments. Humans add the taste.

/ context · taste · subject-matter expertise

Five agents do the volume. Two humans do the judgement. The loop between them is the product.

// the agents5 running · 24/7
HERMES
Outreach Agent

Runs angle × persona experiments across your TAM until the wedge reveals itself.

KAIROS
Scheduling Agent

Replies in your voice, qualifies, and books warm leads straight into your calendar.

SOTERIA
No-Show Recovery

Catches drop-offs, reaches out on the right channel, and rebooks them automatically.

HESTIA
Nurturing Agent

Keeps cold leads warm with signal-triggered touches — never generic, never a blast.

PERSEPHONE
Reactivation Agent

Mines closed-lost and dormant lists, finds the right reason to re-open the door.

// the humans in the loopco-founders
HUMANCO-FOUNDER · GTM
Panos Sisamos — co-founder
Panos Sisamos

Sets the angles, shapes the wedge, and pressure-tests every hypothesis the agents run.

HUMANCO-FOUNDER · ENGINEERING
Dimi Lampros — co-founder
Dimi Lampros

Builds the apparatus. Keeps the loop tight between context, agent, and outcome.

// manifestorelevant by design

We don't choose between AI and humans.

We've overseen go-to-market for more than 100 organizations, from early stage to scaleups, and one constraint repeats: companies forget what they learn. Every quarter the team relearns what it already knew. The hardest problem in GTM is memory.

So we built the partnership the work actually needs. People bring the judgment and context they earned in the field. The system holds the rest, so each campaign starts ahead of the last. This is how relevance is engineered.

Relevant by design

the modern architecture of go to market
Panagiotisco-founder
Dimitriosco-founder
02 / system

A horizontal product has N×M×K possible markets. Picking one and praying isn't strategy — it's a coin flip with a 6-month delay.

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.

03 / the apparatus

The apparatus — a loop, a graph, humans and agents.

Scroll. The apparatus opens, module by module.

01
/ map

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.

02
/ experiment

Run experiments at machine speed

Each week, agents ship dozens of variants into tightly scoped audiences. Humans approve the taste calls. No vanity opens — replies, meetings, pipeline by hypothesis.

03
/ reply

Reply + voice agents work the inbox

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.

04
/ loop

Read signal, kill noise

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.

05
/ compound

Campaigns compound, not restart

Every send, reply, and meeting feeds the same memory graph. Next week's campaigns start where last week's ended. TOFU + MOFU run themselves.

04 / loop

Watch the loop close.

/ pipeline — agents + graphscroll ↓ to advance
loop ↺
step 01 / 07 · hypothesis

Agents form a testable bet

Vertical × persona × angle × moment. The graph proposes the next experiment worth running based on everything it's seen.

keep scrolling — 6 steps to close the loop
continue scrolling ↓
05 / wedge

If you sell everywhere, you can't afford to guess where.

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.

Devtools & infra

Same primitive, ten developer archetypes. We isolate which persona converts on which pain.

AI platforms

Use-cases multiply faster than you can write copy. We map the live demand curve weekly.

Workflow software

Every department buys for different reasons. We run dept-by-dept experiments in parallel.

Agencies & services

Vertical specialization is the moat. We find which 2–3 verticals deserve your operator hours.

/ vertical product

One ICP. One pain. One playbook. Outbound is execution — pick a list, write copy, hire SDRs.

/ horizontal product

N ICPs. K pains. ∞ playbooks. Outbound is search. Pick a system, not a campaign.

06 / output

A wedge, a graph that remembers, and agents that keep booking meetings.

Four deliverables compound out of every cycle — pipeline you can trust, an audit trail of what we killed, a live map of the search space, and a context layer that gets sharper every week.

[ 01_PIPE ]

Qualified Pipeline

Validated meetings that actually show up. High-intent surfacing — not vanity replies.

status: active_flow
[ 02_LOGS ]KILL_TAXONOMY_V4

Experiment Results

Full audit log of every angle tested, killed, and why. Failed hypotheses become institutional capital.

> HYPOTHESIS_27: REJECTED — NO_RELEVANCE
> HYPOTHESIS_28: ACTIVE — HIGH_SIGNAL
[ 03_MAP ]

ICP Matrix

Mapped search space: verticals × personas × angles. Each node scored by real-market signal density.

[ 04_POV ]

Context Engine

Fine-tuned layer on your company's POV, ICP language, objections, and proof. Compounds with every touchpoint.

mem_storage: 100%Deep intelligence
07 / compare

Most options pick one of speed, depth, or learning. Relevance is the only one that compounds.

Honest scorecard against the alternatives you're probably weighing.

/ relevance
Us
  • Speed to launch2 wks
  • Time from your team~1 hr/wk
  • Research depthDeep
  • Experimentation coverageBuilt-in
  • Learning velocityCompounds
  • Reply + voice agentsIncluded
  • DeliverabilityManaged
  • Data ownershipYours
/ build it
In-house
  • Speed to launch3–6 mo2 wks
  • Time from your team40+ hr/wk~1 hr/wk
  • Research depthMixedDeep
  • Experimentation coverageRareBuilt-in
  • Learning velocitySlowCompounds
  • Reply + voice agentsManualIncluded
  • DeliverabilityDIYManaged
  • Data ownershipYoursYours
/ traditional
Agency
  • Speed to launch4–6 wks2 wks
  • Time from your team3–5 hr/wk~1 hr/wk
  • Research depthMixedDeep
  • Experimentation coverageRareBuilt-in
  • Learning velocityResetsCompounds
  • Reply + voice agentsManualIncluded
  • DeliverabilityManagedManaged
  • Data ownershipPartialYours
/ autopilot
AI SDR
  • Speed to launch1 wk2 wks
  • Time from your team5+ hr/wk~1 hr/wk
  • Research depthShallowDeep
  • Experimentation coverageTemplatesBuilt-in
  • Learning velocityNoneCompounds
  • Reply + voice agentsBasicIncluded
  • DeliverabilityMixedManaged
  • Data ownershipLockedYours
strongpartialgap
08 / included

One engagement. The whole apparatus.

/ your team

Your team

  • Dedicated GTM operator

    One human partner. Full context from kickoff through renewal.

  • Kickoff + biweekly syncs

    Align early, course-correct as the apparatus produces signal.

  • Connected Slack channel

    Direct line to the operators running your agents. No ticket queue.

/ your agents

Your agents

  • 100,000+ emails / month

    Volume to run real experiments — not one bet on one message.

  • 1,500 LinkedIn touches / month

    Multi-channel coordination for prospects who don't live in their inbox.

  • Reply + voice agents

    Objection handling in your voice, outbound calls until meetings book.

  • 6–12 variants / campaign

    A/B/n with kill rules. Every send is a data point, not a guess.

/ your graph

Your graph

  • Persistent context graph

    ICPs, personas, objections, signals — the memory that compounds.

  • Weekly performance review

    What shipped, what worked, what we're killing, what's next.

  • CRM sync — Attio / HubSpot / Salesforce

    Warm replies and enrichment flow into your pipeline automatically.

/ your ownership

Your ownership

  • Full CSV export

    Contacts, enrichments, campaigns, replies — yours to keep, anytime.

  • No vendor lock-in

    We earn the renewal; we don't trap it.

  • ~1 hour / week from your team

    You bring taste and final calls. The apparatus does the reps.

09 / pricing

One plan. Full apparatus.

Everything you need to run outbound as a continuous experiment — not a one-shot bet.

/ included

Campaigns & agents

  • Multiple campaign variants launched per week
  • Fully individualized AI copywriting per contact
  • Reply + voice agents handling objections and bookings
  • Structured A/B/n testing with isolated results
  • Sandbox testing on real contacts before launch
/ included

Strategy & reporting

  • Weekly performance review and operator notes
  • Biweekly strategy sync with your dedicated operator
  • Async Slack access via Slack Connect
  • Memory graph access — query the context, anytime
  • Own your data — full export, any time
/ included

Infrastructure

  • Outbound email infrastructure + warmup
  • Deliverability monitoring and rotation
  • Voice infrastructure for outbound dialing
  • CRM integration (Attio, HubSpot, Salesforce)
  • Custom signal webhooks + human-in-the-loop review
10 / notes
field note 014

The myth of the broad ICP

Why "we sell to mid-market across industries" is the most expensive sentence in your deck.

read→
field note 013

Killing fast is the skill

A taxonomy of bad signals, and how we throw out 70% of variants without a meeting on the calendar.

read→
field note 012

Outbound as instrumentation

Treat cold email like a telescope, not a megaphone. What you point it at matters more than what it says.

read→
11 / faq

Honest answers, not sales theater.

01How is this different from an outbound agency?
+

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.

02We're not horizontal — we sell into one vertical. Still relevant?
+

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.

03How long until we see the wedge?
+

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.

04Do you use AI?
+

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.

05What do we need to bring to the table?
+

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.

/ start the loop

Stop sending campaigns.
Run the agents.

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.

Book a demo→See how the agents work
30 min
first call
2 wks
search space mapped
4–8 wks
wedge in hand