GTM Engineering
A go-to-market machine, not a pile of tools.
Most GTM stacks grew one tool at a time. Leads leak between systems, routing rules rot, and enrichment data arrives after the deal is already lost. SYN.AUTON designs the architecture first, then builds the automation that makes the whole motion run.
What we build
Lead routing and enrichment automation
Every inbound lead enriched, scored, and routed in seconds, with fallbacks and full logging.
Clay implementations
Clay tables and workflows built as production infrastructure: sourcing, enrichment, scoring, and sync into your CRM.
n8n workflow development
The connective tissue between your GTM tools, built as versioned, monitored workflows instead of brittle zaps.
AI-native GTM architecture
A blueprint for your full go-to-market system: data flow, tooling, agents, and the order to build it in.
Further reading
- Clay vs Apollo for enrichment
Apollo sells you a database. Clay orchestrates many databases, including Apollo. That structural difference decides which one fits, and it is not the one most comparisons lead with.
- Using AI to write account research into your CRM
An account research agent gathers what a rep would find manually and writes a cited brief into the CRM before the first call. Here is how to build one reps actually read.
- n8n vs Zapier for revenue operations
Zapier bills per successful action, which makes multi-step revenue workflows expensive at volume. n8n bills per execution and can be self-hosted, which matters when CRM data cannot leave your infrastructure. Here is how to choose.
- Build vs buy for CRM automation
Buy when the problem is common and the vendor already solved it. Build when the logic is specific to how your company sells. Here is the test that separates the two, and the costs each side hides.
Have a gtm engineering problem?
Describe it in a few sentences and we will map the system that solves it.
Tell us what you want to automate