FAQs

Autonomous GTM, Pedalix, gtm.science, teklens.ai and working with me.

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

Autonomous GTM is an operating model for B2B software companies where AI agents run the execution (ICP detection, outbound, enrichment, reporting) and you keep the strategy. Audience: B2B software companies with 20 to 200 people in DACH and the EU, scaling pipeline with a small GTM team.

What does Pedalix do?

Pedalix is the studio that installs this system end to end: ICP and data model, agent orchestration, sequences, reporting. Done with you, not just done for you. In the end the system runs at your company, not mine.

What is gtm.science and how is it different from Pedalix?

gtm.science is the learning path: an open-source framework with live cohorts, benchmark reports and a podcast so teams can build Autonomous GTM themselves. I am also writing a book about it. Pedalix is the have-it-built path: I build it with you.

What does teklens.ai do?

teklens.ai is the AI product companion for the product team. The Context Engine knows your code, your Jira and your business, from PRD to story. Because product decisions are not solid when AI only sees tickets. 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.

Where is the best place to start?

Not with a tool, with a system. First GTM strategy: qualitative customer interviews and quantitative surveys. Then revenue systems, then AI-native product strategy, finally Autonomous GTM. The blog and the newsletter walk through each step.

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?

Serial entrepreneur and author. Started his first software company at 16, built Astina, Aioma and Localina from zero, sold the Localina CRM to Swisscom. Today publisher of the AI Monitor with ETH Zurich and HSG, lecturer at HWZ, ZHAW and FHNW, Springer Gabler author. Founder of pedalix.com, teklens.ai and gtm.science.

How does a collaboration start?

With a 30-minute conversation about your biggest growth bottleneck. Afterwards I tell you honestly whether I am the right fit or who fits better. If it fits, a written proposal with scope, KPIs and timeline follows.

How do I get in touch?

Email marc@gasser.ai or use /connect. Or subscribe to the newsletter first and read along before you reach out.