Built for b2b companies selling complex services. Not for spam.
Traditional outbound is volume-based. Spray lists, fill templates, hope for replies. The economics are brutal: $80-150K/year in salary for a 1-2% reply rate.
Monad Signals inverts the model. Instead of starting with a list, it starts with a buying signal — a job posting, a funding round, a vendor complaint, a regulatory filing. Then it writes a single email that references that specific signal.
Gemini + Google Search grounding scans 6 targeted queries per vertical — ATS job boards, LinkedIn, trade media, regulatory filings. Extracts company, decision-maker, signal, relevance score.
3 parallel approaches find the decision-maker's verified email. LinkedIn, company site, pattern matching. Each lead scored High / Medium / Low confidence.
Vertical-specific persona writes from the signal — not a template fill. Body stays under 90 words. Mandatory disqualification clause filters out bad-fit prospects.
Adversarial agent reviews against 9 rules: word count, signal reference, no buzzwords, no hallucinated claims. Up to 3 rewrite attempts. Only drafts that pass ALL rules reach Gmail Drafts.
Every lead needs a real signal before we write to them.
Every email is written from the signal up, not filled into a template.
Every draft goes to Gmail Drafts for human review before send.
The Critic rejects any draft with unverifiable assertions.
15-minute architecture review. We'll map your current outbound approach against what Signals would replace.
[ audit pipeline ]