How Galatiq built a clearer picture of its sales pipeline with Adapter Mind

Introduction

Galatiq is the purpose-built AI implementation agency for SpaceXSI and Grok. They are growing quickly: their headcount has doubled over the past six months and they plan to double again by Q1 2027.

Growing a technology services business efficiently requires striking a fine balance between incoming client projects and the engineers available to support them. Hire too far ahead of demand, and expensive talent sits on the bench, burning cash and hurting morale. Let hiring fall too far behind, and you get missed timelines and strained client relationships.

The difficulty is that hiring great engineers takes time, and new business conversations are exciting but uncertain. A promising opportunity can stall one week and resurface with twice the scope the next. Galatiq has to make hiring decisions while the picture is still changing.

Getting that balance right starts with deeply understanding demand. For Galatiq, the CRM is the source of truth for that demand. Galatiq’s leaders need their CRM to help answer fundamental questions: Will this deal close? When will the work start? How many engineers — and with which skills — will we need on that project?

The work before the work

These are what we call “messy questions”: simple to ask, but hard to answer without a lot of context and understanding. At Galatiq, much of that understanding lives with the engineers working with prospects. They understand the customer’s technical problem, the potential solution, and what it will take to deliver it.

But with nearly 100 open opportunities at any one time, maintaining that understanding across the pipeline is a big job. Leadership has to turn the team’s updates into a reliable forecast. Meanwhile, conversations continue, requirements change, and timelines move…and the picture needs updating again.

The first step is to capture the information. Galatiq’s team pasted context into chats and entered CRM notes by hand, which means the shared record depends on what busy engineers manage to capture between calls.

But a well-populated CRM isn’t enough: you still need to connect the dots to understand what’s actually happening. Answering “will this deal close?” might require connecting the customer’s original goals from the discovery call, technical constraints discussed in Slack, a revised proposal, and a phone call last Friday changing the budget and timing. A good answer to that messy question depends on understanding how evidence relates, what changed, and why.

RAG and tool calling can give an AI model or agent access to those records. In a typical workflow, the AI then reconstructs that understanding only when someone asks. But if the retrieval process misses the call notes explaining the budget change, the AI will give a convincing answer from an incomplete picture, which is to say, a wrong answer.

Building on a shared mind

Adapter Mind moves the work of understanding before the prompt. It continuously builds and maintains a Cognition Graph connecting people, accounts, projects, and decisions with their supporting evidence. New activity becomes part of the history behind each opportunity, preserving what changed and what led to it.

Galatiq had already built its own CRM and retrieval system. In July, they gave Adapter a week to compete against that system using the same company data. Their verdict was that Adapter was “significantly better and faster,” so they decided to retire their retrieval system and make Adapter Mind the understanding layer underneath their tools.

Galatiq connected its company data to Adapter Mind, with new meeting transcripts flowing in every 30 minutes. Their CRM and agents draw on that understanding to give the team sourced answers when they need them.

That understanding remains available beyond the engineer working on the deal. Another teammate can pick up the account’s history, and leadership can use the shared picture to forecast incoming work and plan the people needed to deliver it.

A clearer understanding of demand

The immediate outcome is less manual administration and less time spent reconstructing account updates. But the larger value for Galatiq is a detailed, up-to-date understanding of demand across the business, grounded in evidence the team can inspect.

[CRM SCREENSHOT, REDACTED]

The CRM was Galatiq’s starting point. With Adapter maintaining a shared understanding of the company, other teams and tools can build on the same foundation. That’s already happening in client delivery, where engineers can ask questions grounded in client meeting history and trace answers back to their sources. Grok Bot and coding agents also draw on the Mind as they work, extending the value of that understanding beyond the sales pipeline.

By mid-September, Galatiq’s Mind was handling more than 10,000 queries a day, with agents making 99 of every 100 queries. Since July, Galatiq’s production usage has grown about 20% week over week.

"Adapter has been a huge multiplier for us."

Scott Kamra

Co-founder & CEO, Galatiq

What’s next

Through a newly announced Strategic Alliance, Galatiq and Adapter will bring the same approach into the systems Galatiq builds for its clients, alongside Grok models, Grok Bot, and Grok Build.

Next up is to make Adapter Mind standard in every new Galatiq client deployment, giving the applications Galatiq builds a shared understanding to draw on — whether to help clients run their businesses better or deliver more value to their customers.

For Galatiq, efficient growth means having the right engineers ready when projects arrive, without hiring so far ahead that people sit on the bench. Adapter gives leadership a clearer understanding of demand to help strike that balance.

About Galatiq

Galatiq builds custom AI agent systems for enterprises using xAI’s Grok. Its engineering teams embed with customers to understand their operations and build AI solutions that run in production.