Customer data foundations
Database hygiene, deduplication, enrichment, segmentation, and shared definitions that make account and customer context usable.
Better customer experiences depend on the systems behind them. We connect your revenue tools, improve the quality of customer data, and build the workflows that carry context from marketing to sales to Customer Success.

Software Engineering builds the applications customers use. GTM Engineering connects the data, revenue tools, and operating workflows that keep those experiences relevant.
Explore the Notion relationshipIllustrative workflow · Configured around your business
Database hygiene, deduplication, enrichment, segmentation, and shared definitions that make account and customer context usable.
CRM configuration, lifecycle stages, lead routing, ownership, and handoffs aligned to the way your revenue team operates.
Integrations, event flows, workflow automation, and reporting that help teams understand what happened and what should happen next.
Document the tools, data, owners, and handoffs behind one growth priority.
Clean and connect the information the workflow needs, with clear access and ownership.
Build routing, automation, and reporting around agreed operating rules.
Monitor data quality, exceptions, and adoption as the business changes.
GTM Engineering & RevOps works with the other GigaRev offerings through shared context, coordinated actions, and clear ownership. Command Center helps connect the work to what the prospect or customer needs next.
See how it connectsYes. Begin with a focused experience or business problem. We define the audience, deliverables, integrations, ownership, and success measures, then connect additional capabilities where they create value.
We start with your existing systems, approved knowledge, and operating model. The connections and AI services are scoped for your needs, while your team stays involved in the decisions and reviews that matter.
Agree a baseline and the relevant experience and business measures before launch. Review user behavior alongside progression toward the growth goal, then use the evidence to improve the next iteration.
Bring us the challenge. We’ll help define the experience, the capabilities, and the first move worth making.
Discuss your growth prioritiesA focused conversation. A practical starting point.GTM engineering connects revenue data, systems, and decisions. Start with an owned handoff: account matching, inquiry routing, research preparation, or a sales-to-CS transition. Define the trigger, fields, evidence, destination, and exception path before building.
RevOps owns the operating definitions and policy; engineering makes the workflow executable and observable. The responsibilities can overlap, but approval rights and maintenance ownership should never be implicit.
Map CRM identifiers, authoritative fields, permissions, eligibility, and the rules that remain deterministic.
Validate APIs, retries, duplicate prevention, review queues, and a manual fallback. Start with a dry run where appropriate.
Inspect correct routing, seller acceptance, exception age, operating cost, and downstream use. Agree who maintains the workflow.
AI interpretation is optional. It does not replace consent rules, verified account identity, or accountable owners.