From automation and agents to meeting intelligence, we build AI into your go-to-market stack, with measurable quality and no parallel silos.
Practical AI as part of go-to-market engineering, with steps that run in your processes.
Measurable quality, cost control and privacy, so it still works after week one.
Teams that want more than loose ChatGPT prompts: automate repetitive GTM work with control over quality, cost and data.
For scoring, personalization and agents: AI automation. For meetings: AI notetaker.
AI in your GTM stack: automation (scoring, personalization, agents, LLM workflows) and meeting intelligence (AI notetaker). We build on your existing tools, HubSpot, n8n, Clay, with guardrails.
This page is the generic AI hub. AI automation is the subpage for scoring, personalization and agents. AI notetaker covers meetings and scorecards.
Yes, where it fits: research, enrichment, qualification and follow-up, always with logging, cost control and human oversight where needed.
Data minimisation, clear purpose per field, deliberate tool choice (cloud vs self-hosted) and no uncontrolled writeback to your CRM.
Tell me briefly which work you want to remove, scoring, personalization, meetings or agents, and I'll suggest a first step.
matthias@tech-stack.nl