Relevance.
An AI-native GTM studio. We build and deploy semi-autonomous agents trained on a client's context — running the funnel 24/7.
We sell the outcomes.
We own our infra.
Relevance is, in the traditional sense, a service business. Clients pay us for a deliverable — qualified pipeline, validated meetings, market understanding. They don't buy software, seats, or stacks to manage.
Outcomes. Pipeline. Meetings. Market signal.
The infra, the agents, the context graph — and the operators who run it.
The way the outcome gets delivered is changing.
Same deliverable. New shape of the loop — AI does the heavy lifting, humans stay in the loop where taste, judgement and relationships matter.
"Humans deliver every step."
"AI runs the experiments. Humans add the taste."
GTM sits inside the largest profit-pool shift in a decade.
"Services-as-software is 10× the cloud opportunity."
"$200B in net-new AI services over the next 5 years."
"60% of today's GTM stack will be displaced by 2028."
Outbound, ABM, intent, sales enablement — the layer being displaced first.
Relevance solves a problem as old as time itself.
GTM suffers from amnesia.
- 01Every campaign starts from a blank page. The ICP doc was last touched 8 months ago.
- 02Sales hears the same objection on every call. Nothing updates the messaging — there's no system to.
- 03Sender, CRM, dialer, scheduler, ads — six dashboards, six versions of the truth.
- 04The market constantly shifts. The messaging that worked 6 months ago won't work now.
Our solution
Cure the amnesia. Give GTM a memory it can compound on.
Context lives on a graph.
Every account, signal, conversation and outcome — typed, linked, and queryable. One memory the whole funnel writes to and reads from.
Agents run the funnel 24/7.
Semi-autonomous agents prospect, qualify, and follow up — and write every finding back to the graph. The context compounds while you sleep.
Agents hold the context and run the experiments. Humans add the judgement and taste.
Five agents do the volume. Two humans do the judgement. Each one writes to the same context graph.
Runs angle × persona experiments across the TAM until the wedge reveals itself.
Replies in the client voice, qualifies, and books warm leads straight into the calendar.
Catches drop-offs, reaches out on the right channel, and rebooks 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 loop is the product.
We sell outcomes on a managed infra.
We own the infra. We manage it ourselves and sell the outcome.
6-month contract. $6,000 setup fee.
QUALIFIED PIPELINE
Validated meetings that actually show up. High-intent surfacing — not vanity replies.
STATUS: ACTIVE_FLOWMARKET UNDERSTANDING
Full audit log of every angle tested, killed, and why. Failed hypotheses become institutional capital.
> HYPOTHESIS_28: ACTIVE — HIGH_SIGNALICP MAPPING
Mapped search space: verticals × personas × angles. Each node scored by real-market signal density.
COVERAGE: 62%CONTEXT ENGINE
Fine-tuned layer on their company's POV, ICP language, objections, and proof. Compounds with every touchpoint.
MEM_STORAGE: 100%
Outsourced like an agency.
Powered like software.
No hiring, no tool sprawl. Agents + infra live on week 3.
You share context, approve taste calls. We run the apparatus.
Every prospect: LinkedIn activity, company signal, role context.
Dozens of variants in parallel, structured A/B/n with kill rules.
The graph remembers. Next week starts where last week ended.
Objection handling + outbound calls until the meeting is booked.
Domains, warmup, rotation, inbox placement — owned end-to-end.
Full CSV export of contacts, enrichments, sends, replies — anytime.
Internal benchmark across 40+ B2B GTM engagements, Q1–Q2 2026.
Our market.
Our ICP, sized — and what 0.1% of it is worth.
≈ 16,000 accounts — fit our ICP & can afford us.
- Seed → Series B (funded) — or bootstrapped & profitable
- 8–50 FTE
- B2B
- Sells to HORIZONTAL markets(big TAM = many segments to test)
- SaaS or Services
- Can afford ~$8K/mo
$8K/mo = $96K ACV ≈ 5–10% of a $1–2M-rev company's budget.
1% → ~160 accounts → ~$15M ARR · at $8K/mo · $96K ACV
Current traction.
The Team
Scaled 2 startups from 6 to 8 figures ARR. Fractional GTM to over 20+ startups from Y Combinator, Entrepreneur First, Techstars, Antler.
Launched a career in deep tech then shifted into technical sales. Forbes 30U30. CNN/BBC. NTUA top 5%.
We've overseen go-to-market for more than 100 organizations, from early stage to scaleups, and one pattern keeps showing up: companies forget what they learn. Every quarter the team relearns what it already knew.
The hardest problem in GTM is memory.
But GTM resists pure productization. A product needs operators. A motion needs a strategy, a feedback loop, taste and subject matter expertise.
So we set out to build the ideal partnership. AI shouldn't replace humans. People bring the judgment and context they earned in the field. The system holds the rest. AI does the heavy lifting.
Every campaign starts ahead of the last. Every contextual layer is documented and graphed.
This is how relevance is engineered.