All Things Considered's engineering practice designs and ships the platform layer beneath your revenue: ICP scoring, enrichment, intent detection, AI outbound, and measurement, so every campaign plugs into shared systems instead of being rebuilt from scratch.
The root cause: most companies treat GTM as a series of campaigns. It's actually a platform. Build the platform once, and every campaign gets faster, cheaper, and more consistent.
We start by mapping your GTM stack to find where the same work is being done five times. Then we build a thin set of reusable primitives: one enrichment layer, one scoring rubric, one intent feed, one outbound engine, one measurement spine, then wire your existing campaigns to consume them as services.
The result: you stop re-paying for the same data, stop maintaining conflicting definitions of "qualified," and can ship a new revenue play in days because 80% of it already exists.
Logic lives in exactly one place; everything else calls it. On a recent platform, one architecture powered 70+ projects off 12 shared systems.
We work where your data actually lives (Snowflake, your CRM, your product events), not in disconnected point tools.
LLMs do the enrichment, classification, and copy generation; deterministic systems do the routing, scoring, and guardrails. Cost-controlled and measurable.
Which front is leaking money for you?
Lead-recovery pipelines that surface prospects your funnel silently drops
Warm re-engagement & job-change engines on past champions and dormant leads
Churn-risk & deployment-gap signals routed to the right owner
Expansion-intent detection and renewal-readiness scoring
Competitor-user detection and ABM trigger campaigns
A fixed-scope diagnostic sprint. We map your GTM stack, data flows, and spend, then deliver an architecture and reuse map showing exactly where work and cost are duplicated and what to consolidate first.
A single canonical ICP + persona-fit score, built from your historical win patterns, living in your warehouse and CRM as the one source of truth every campaign inherits.
A cache-first enrichment service that dedupes Apollo / Clearbit / provider calls so you never pay twice for the same record. Sub-100ms lookups, dollars-saved dashboard.
Daily pipelines that find enterprise-grade prospects your funnel is dropping (webmail registrations, non-obvious firmographics) and route them for action.
Track past champions and buyers across job changes and re-engage them with attribution preserved: the highest-conversion pipeline most companies ignore.
A multi-source business-event feed (funding, hiring, rebrands, filings, news, permits, review-site intent) with AI relevance scoring that auto-routes qualified triggers into outbound.
Per-lead message generation grounded in CRM context and tech-stack signals, orchestrated on n8n with reusable nodes, pre-send guardrails, and rules-based mailbox routing.
One dashboard and one attribution store where first-touch and last-touch land on the same deal record, with Sales, Marketing, and CS in a single view.
Classify → human-approve → write-back agents that triage tickets, audit conversation quality, and surface churn/expansion signals from support. For teams with a CS motion.
The situation: a product-led email-signature SaaS with high daily signup volume, dozens of GTM initiatives in flight, and the classic problem: every initiative re-implementing enrichment, scoring, and outbound, with data-provider spend duplicated across five overlapping tools.
What we built: a platform of 12 shared primitives: a canonical ICP/persona scoring engine (over ~19K contacts and ~49K accounts in the warehouse), a cache-first enrichment layer (sub-100ms, dedup across 40+ consumers), an enrich→score→route service, a multi-source intent engine, an AI copy-gen + outbound orchestration stack running an agent fleet, a branded-asset API, and a HubSpot-centric measurement spine, consumed by a portfolio of ~76 GTM projects across the five revenue fronts.
Turned dozens of one-off scripts into thin clients of a reusable platform; new revenue plays now ship in days, not weeks.
GTM / revenue systems architecture · AI / LLM orchestration · data warehousing & pipelines · enrichment & intent infrastructure · lead scoring & ICP modeling · outbound orchestration & agentic workflows · CRM architecture & API integration · attribution & measurement · full-stack app & API development · cloud & edge deployment · security-conscious data handling.
For teams unsure where to start. Ends with a roadmap.
One clear priority, e.g. lead recovery or an ICP engine.
For companies committing to GTM as infrastructure, over quarters.
Ongoing build + operate capacity.
15+ years of B2B sales leadership and the engineering to build the systems. We understand the quota and the codebase; most vendors have one, not both.
Build once, never pay twice. The first deliverable often pays for itself by killing duplicated API spend.
Not another disconnected tool; systems that live in your data and your CRM.
LLMs where they add leverage; deterministic logic, cost controls, and security where they matter. You work directly with the architect, not a junior team.
Someone who builds the software systems behind go-to-market (enrichment, scoring, intent, outbound automation, and measurement) instead of running campaigns by hand. Think RevOps with real engineering muscle.
No. We make them dramatically more effective. We build the infrastructure they don't have time to build, then hand it off documented or operate it on retainer.
Yes. We build on top of what you have: HubSpot or Salesforce, Snowflake or your warehouse, Apollo/Clearbit, your ESP. We consolidate and connect; we don't force a rip-and-replace.
The audit sprint delivers a roadmap in 1–2 weeks, often with an immediate cost win from eliminating duplicated enrichment spend. First systems typically ship within weeks.
Secrets hygiene, PII minimization, parameterized queries and read-only warehouse roles, and edge protection for any public endpoints. Security is part of the build, not an afterthought.
You work directly with Haim, the architect. This is a boutique practice, deliberately.
Start with a GTM systems audit. In two weeks you'll have an architecture map, a duplicated-spend analysis, and a prioritized build roadmap, yours to keep whether or not we build it together.
Book your audit →