/ 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

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

HUMANCO-FOUNDER · ENGINEERING

Dimi Lampros

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

// manifesto

Relevant by design — the modern architecture of go to market.

scroll to unfold ↓

// 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. The context that wins — what the market said, which message landed, why a deal closed — lives in people's heads and leaves when they do. 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, the taste, and the context they earned in the field. The system holds the rest: every send, reply, and call, captured and kept, so each campaign starts ahead of the last. Results feed one shared memory, the loop closes, and campaigns compound instead of resetting. This is how relevance is engineered.

Relevant by design

the modern architecture of go to market

Panagiotisco-founder

Dimitriosco-founder

// 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.

Hover any module. The apparatus opens, the agent goes to work.Scroll. The apparatus opens, module by module.

/ 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.

/ 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.

/ 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.

/ 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.

/ 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.

/ 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.

scanning_TAM

hover →

/ 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.

A/B/n

hover →

/ 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.

prospect: not the right time

reply_agent: totally — when q3 budgets reset, want a 10-min teardown?

prospect: sure

voice_agent: calling +1 415… _

meeting booked · thu 14:00

hover →

/ 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.

p < 0.05

hover →

/ 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.

week / pipeline

hover →

04 / loop

Watch the loop close.

/ pipeline — agents + graphscroll ↓ to advance

hypothesisthe bet

variantthe copy

sendn ≈ 600

reply agentin your voice

voice agentwarm dial-out

meetingon calendar

graphmemory

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 — 7 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.

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.

AI platform / seed-stage

“From 'AI for everyone' to 'audit-grade summarization for in-house legal.'”

11.2%

reply rate on the winning angle, after killing 28 hypotheses

Data infra / Series A

“Wedge surfaced in vertical #7 (logistics ops), not the obvious one (fintech).”

$1.8M

pipeline in 9 weeks from a market the team had ruled out

Workflow SaaS / Series B

“Five departments tested in parallel. Two carried the company.”

3.4×

meeting rate vs. their previous 'broad' motion

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

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

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

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

view all→

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

Understand your market better than anyone else competing for it.

Agents run the experiments. Humans add the taste.

We don't choose between AI and humans.

We don't choose between AI and humans.

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

Agents map your TAM

Run experiments at machine speed

Reply + voice agents work the inbox

Read signal, kill noise

Campaigns compound, not restart

Agents map your TAM

Run experiments at machine speed

Reply + voice agents work the inbox

Read signal, kill noise

Campaigns compound, not restart

Watch the loop close.

Agents form a testable bet

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

Devtools & infra

AI platforms

Workflow software

Agencies & services

Devtools & infra

AI platforms

Workflow software

Agencies & services

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

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

One engagement. The whole apparatus.

Your team

Your agents

Your graph

Your ownership

One plan. Full apparatus.

Campaigns & agents

Strategy & reporting

Infrastructure

The myth of the broad ICP

Killing fast is the skill

Outbound as instrumentation

Honest answers, not sales theater.

Stop sending campaigns.Run the agents.

Stop sending campaigns.
Run the agents.