growth without headcount

systems: 3 autonomous // replaces: content team + media buyer + outbound sdr // status: production

Built for b2b companies that sell on expertise, not price.
Running in production. On our own pipeline.
>95%
cost reduction vs. headcount
72h
signal lead on competitors
40-60%
lower cost per click
24/7
autonomous execution
01 // the economics

your growth team costs $400k/year and still can't scale.

A content writer runs $80-150K/year and produces 1-2 articles a week. A media buyer costs the same and still burns budget on stale keywords. An outbound SDR sends 200 emails a day and hopes for 3 replies. Full stack: $400K/year in salary alone.

Monad runs all three functions autonomously. It publishes validated content on schedule, deploys ad campaigns against emerging demand, and triggers outbound sequences when real buying signals appear—not when a calendar reminder goes off.

We built it for ourselves first. We run Monad in production today. One deal from one right piece of content paid for 3+ years of the entire system's operation.

# monad production run — sniper sdr pipeline
pipeline: "sniper_v2"
verticals_active: 20

# stage 1: scout
[hiring, funding, complaints, vendor_shifts] → detect_signal()
source: gemini + google search grounding
lead_time: 48-72h before competitors

# stage 2: osint + writer + critic
enrich_email() → write_draft() → adversarial_agent()
critic_rules: 9 | pass_rate: 85%
avg_eval_score: 8.6/10

# stage 3: human review
push_to_gmail_drafts() → one_click_send
time_to_draft: 3-8 min per company

status: 19/20 verticals live
02 // three autonomous systems

each module solves a specific revenue problem.

Three engineered systems. Specific functions. Measurable outputs.

outbound // intercept

monad signals

72h lead

Monitors hiring posts, funding rounds, vendor complaints, and regulatory filings across 20 active verticals. Detects buying intent 48-72 hours before your competitors notice it.

Writes signal-referenced cold emails, validates against a 9-rule adversarial agent (85% pass rate), and pushes to Gmail Drafts for one-click send. No templates, no list blasting.

learn more →
inbound // index

monad pages

12 quality gates

Maps the gaps in your market’s search landscape that competitors haven't covered. Generates in-depth, structured content with 12 automated validators—enforced quality, not AI slop.

Every output is optimized for Google and AI citation engines (Perplexity, ChatGPT, Gemini). Published on schedule, directly into your CMS.

learn more →
paid // arbitrage

monad bids

40-60% lower cpc

Cross-references signal intelligence with search intent gaps. Deploys split-tested creative to Google Ads with 3-step consensus auditing—draft, audit, refine.

First-mover bidding on emerging keywords before competition arrives. Captures high-intent clicks at a fraction of mature-keyword costs.

learn more →
03 // built in production

measured in production.

Every number below comes from a live deployment.

20
active verticals
running in production
8.6/10
avg email eval score
across all verticals
>95%
cost reduction vs.
equivalent headcount
85%
critic pass rate
9-rule validation
3-8 min
signal to gmail draft
per company
12
automated quality gates
per content output
40-60%
lower cost per click
vs market average
24/7
autonomous execution
signal to published
04 // deployment

see exactly what monad looks like for your pipeline.

15-minute architecture review. We'll map your current growth stack against what Monad would replace—with specific cost and throughput projections for your market.

book architecture review
built for b2b companies — saas, professional services, fintech, healthtech, consulting.
not for e-commerce, local business, or consumer brands.