Other agencies say they "use AI" the way your dad says he "uses the cloud." We actually built the architecture. Four layers. Checks and balances. The whole thing.
Each agent has a job. No agent trusts another blindly. Nothing reaches your prospect until two agents independently agree it's good. This is not how most “AI outreach tools” work. This is why our open rates are different.
10-K filings. Job boards. LinkedIn posts. Competitor pricing pages. Press releases. The Organizer ingests raw, unstructured data from dozens of sources simultaneously and converts it into clean, structured intelligence your other agents can actually use.
Takes your big goal — "personalize 500 accounts by Thursday" — and breaks it into tasks small enough to actually execute. Assigns work to sub-orchestrators, tracks dependencies, and re-routes when something goes sideways.
One knows pricing sensitivity. One knows ICP personas. One knows messaging. They work in parallel, each owning their domain, and never have to wait on a shared Slack thread to get something done.
Worker agents execute at scale — writing personalized intros, generating sequence variants, scoring replies. But nothing touches your prospect until two workers independently agree it's ready. Mismatch? Flagged for human review.
Six steps between "our CRM is a disaster" and "our CRM is a weapon." We run all six so your reps are working with data that actually reflects reality.
We score every account in your TAM across four dimensions. The result isn't a list — it's a ranked map of who to reach, when, and how.
How closely an account matches your ideal customer profile based on firmographics, industry, revenue band, and tech stack. We weight each factor based on your actual win data, not guesses.
How many of your 4–7 root pain points are present at this account right now. A company with 4 active pains scores higher than one with 1 — even if the ICP fit is identical.
Temporal signals — recent funding, leadership changes, hiring sprees, tech migrations — that indicate a budget window is open or opening soon. This score decays over time if no new signals appear.
How likely this account is to respond based on historical patterns — channel preference, message density in their space, competitor activity. A composite of dozens of micro-signals.