FAQs

Autonomous GTM, pedalix, gtm.science, teklens — and working with me.

What is «Autonomous GTM» and who is it for?

Autonomous GTM is an operating model for B2B software companies where ICP detection, outbound sequencing, enrichment and reporting run agent-driven inside your stack. Audience: founder-led B2B software teams at 1–50 M ARR scaling pipeline with a small GTM team.

How does the 90-day white-glove program (pedalix.com) work?

In 90 days I install — founder-led, with you — an autonomous GTM system in your stack: ICP & data model, agent orchestration, sequence library, GTM OS, reporting. Handover included — by day 91 it runs at your company, not mine.

What is gtm.science and how is it different from pedalix.com?

gtm.science is the DIY path: an open knowledge hub with playbooks, templates and Coach Aven so teams can build autonomous GTM themselves. pedalix.com is the white-glove path: I build it with you in 90 days.

What does teklens.ai do?

teklens.ai is spec-driven AI for the product team: AI agents that run inside your stack. The Context Engine knows your code, your Jira and your business, from PRD to story. Co-founded by me, currently in the build (hiring now).

Which tools do you use in the autonomous GTM stack?

Typically: Clay/Apollo/Smartlead for outbound, HubSpot/Pipedrive as CRM, Supabase/n8n for orchestration, Claude and GPT for agent logic. The exact stack follows the ICP — see the tools directory at marcgasser.com/en/tools.

How much does a white-glove engagement cost?

The 90-day program is offered as a fixed price based on scope, stack complexity and target KPIs. Initial call and a concrete proposal are free — see /connect.

Do you also offer pure advisory?

Yes — for founder teams who want a sparring partner on GTM strategy, AI-native product teams or pipeline diagnostics. Format: paid working sessions, no retainer slide decks.

Who is Marc Gasser?

Software Entrepreneur and author, GTM & product strategy, at the intersection of Product, GTM and AI. Springer Gabler author, publisher of industry reports with ETH & HSG, lecturer. Currently founder of pedalix.com, teklens.ai and gtm.science.

What does the onboarding process look like?

1) 30-min diagnostic call, 2) written proposal with scope/KPIs/timeline, 3) kick-off workshop, 4) weekly build sprints, 5) handover week with documentation and Coach Aven setup.

How do I get in touch?

Email marc@marcgasser.com or use the form at /connect. Initial call and proposal are free.