The Nerdy Stuff (It's Worth It)

BUILT ON A
4-Layer
AI AGENT
architecture.

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.

L1The OrganizerIngestion & ParsingL2The OrchestratorStrategy & Task Decomp.L3Sub-OrchestratorsDomain SpecialistsL4Worker Swarm10-K_FY2025.pdflinkedin_signalsjob_board_deltafunding_alert ✦RAW INPUTS

Four layers.
Checks and balances.
No single point of “oops.”

Each agent has a job. No agent trusts another blindly. Nothing ships until two agents independently agree it's good. This is not how most “AI tools” work. This is why what we build actually holds up.

L1
The Organizer
Ingestion & Parsing
Reads everything so you don't have to.

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.

  • PDF & doc parsing
  • Website scraping
  • SEC filing analysis
  • Hiring signal detection
L2
The Orchestrator
Strategy & Task Decomp.
The project manager nobody hates.

Takes your big goal — "reconcile a quarter's invoices by Friday" — and breaks it into tasks small enough to actually execute. Assigns work to sub-orchestrators, tracks dependencies, and re-routes when something goes sideways.

  • Goal decomposition
  • Task scheduling
  • Dependency tracking
  • Dynamic re-routing
L3
Sub-Orchestrators
Domain Specialists
The specialist team you didn't have to hire.

One knows pricing sensitivity. One knows your data schema. 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.

  • Persona modeling
  • Pricing intelligence
  • Message strategy
  • Parallel execution
L4
The Worker Swarm
Parallel Execution
Hundreds of outputs. Nothing ships until it's right.

Worker agents execute at scale — drafting messaging, synthesizing research, scoring accounts, generating outreach when that's part of the build. Nothing goes out the door until two workers independently agree it's ready. Mismatch? Flagged for a human to review.

  • Parallel drafting
  • Research synthesis
  • Output scoring
  • Dual-agent validation
Dual-Worker Validation — baked into L4
Two workers. Same task. Must agree before anything ships — a message, a number, a record. Mismatches escalate to a human reviewer. Because we've seen what happens when AI just wings it, and it's not good for anyone on the receiving end.
What The Organizer Actually Reads

Every signal.
All at once.

SEC FILINGS01
10-K / Annual Reports
We count how many times "cost reduction" appears and compare it to last year. Spoiler: it's a leading indicator.
HIRING DATA02
Job Postings
A company doubling up on one department two months after layoffs means something. We read between those lines automatically.
TECH INTEL03
Tech Stack Changes
Migrating from Salesforce to HubSpot? That's a 6-month window of pain and receptiveness. We catch it in week one.
NEWS FEED04
News & Press Releases
New funding, acquisitions, leadership changes. Each one is a sign something's about to change.
SOCIAL INTEL05
LinkedIn Signals
Complaints about manual processes, posts about missed targets, new leadership hires. All data. All actionable.
WEB MONITOR06
Website & SEO Changes
Updated pricing page, new competitor comparisons, shifted messaging. Your competitors are telegraphing their moves.
Data Pipeline

From disaster to
weapon.

Six steps between "our CRM is a disaster" and "our CRM is a weapon." We run all six so your team is working with data that actually reflects reality.

Step 0101
Collect
Pull data from every source — CRM, enrichment APIs, job boards, SEC filings, LinkedIn, website scrapers. Everything goes into the pipeline.
Step 0202
Normalize
Standardize formats, unify field names, map taxonomies. What one system calls 'industry' another calls 'vertical' — we make them the same thing.
Step 0303
Deduplicate
Merge duplicate records, resolve conflicts, keep the best version of each field. No more calling the same contact three times with three different messages.
Step 0404
Enrich
Append firmographics, technographics, intent signals, and contact data. Every record gets fuller, not just cleaner.
Step 0505
Sync
Write back to your CRM, your workflows, your analytics. The pipeline feeds every downstream system with clean, enriched data.
Step 0606
Monitor
Track data freshness, flag drift, alert on anomalies. If a field goes stale or a record gets corrupted, we know before it hurts your results.
TAM Scoring

Not all accounts
are equal.

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.

ICP Fit
0–100

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.

Pain Signal Score
0–100

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.

Buying Readiness
0–100

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.

Engagement Potential
0–100

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.