Turn GTM into your competitive advantage

GTM teams are underserved by software tooling: the default path is that they end up with either personalization (hand-rolled automations and Google Sheets) or scalability (bulky, slow CRMs and other enterprise software). LLMs have made a third path possible: deeply personalized custom software, defined in code and owned by your team.

GranolaResendAgentVoiceMeshed

Intelligence is cheap, context is scarce

Personalization and customization to the specific context of your business is crucial to derive value from enterprise software. That's why Salesforce requires a consultant, and why Palantir uses forward-deployed engineers.It's likely that your GTM team already has all of the software that you need to derive value from AI. You don't need to buy a new tool, you need to start investing in leveraging your existing tools effectively.We help you do the boring, foundational work that drives real long-term value from AI - data modelling and data integration - and help you leverage this foundation to deploy and iterate on agentic workflows that leverage your team's context and domain expertise to drive real revenue. For example:

GTM Data Model
GTM DATA MODEL

A digital twin of your business

Your CRM is the heart of your go-to-market. For it to be useful, it needs to accurately model your business, be integrated with the various data sources in your organization, and to have clean, accurate data. Investing in this foundation is the first step.

Owning and maintaining these projects in-house makes a lot of sense, but there's often a level of organizational inertia to getting started - we help you ship these projects in-house in weeks instead of months, and leveraging our experience in building them previously.
In the past it made sense to default to solving problems through buying software, because software was expensive. But now AI has made custom software cheap, and it's getting cheaper very rapidly. This changes the build vs buy equation and means that buying custom software is much more practical, useful, and affordable. If you're interested in taking advantage of this trend then we can help you do that.
Our experience is in working with B2B SaaS companies from seed-stage to Series A.
Most clients see initial improvements within the first 2-3 weeks of deployment, with significant impact typically visible within 30-60 days.
We're tool-agnostic but prefer to use a modern data foundation using Attio and Polytomic for the data layer. We do have a strong preference for Slack-based workflows, as we've found that this works best to give your team insight and observability into your workflows.
We offer both. Our engagements typically start with implementation and include ongoing support to ensure continuous optimization and adaptation to your evolving needs.
Onboarding starts with a kickoff call where we align on goals, followed by a quick deployment phase. We set up a dedicated Slack channel for real-time collaboration and iteration.