AI-powered GTM systems for B2B SaaS startups.
Architecture that compounds, not campaigns that decay.
I've spent fourteen years building marketing systems inside companies like Techademy and Google. Different industries, different stages, but the pattern kept repeating. The best teams were not magically better at campaigns. They had a system underneath the work.
Positioning stayed consistent. Content kept earning its keep. Demand did not fall apart the second someone looked away. Sales handoffs felt like a continuation, not a restart. Those teams built quietly. The others kept buying activity and calling it growth.
Installed is that system made clear, practical, and repeatable. It is what I would put in place if I joined your team on Monday. The rest of this site shows what that looks like in practice, starting with the system that built this page.
What changed is leverage. Five years ago, putting this system in place needed a team. Today, AI handles most of the execution, but only when the architecture underneath is right. The architecture is the moat. AI is the multiplier.
Primary reader of this page: a founder or first marketing hire at a funded B2B SaaS company — likely building from India, selling globally — who has tried two agencies and one freelancer in the last 18 months, and is currently using ChatGPT to write briefs but has nobody operating the system end to end.
Every section you have read so far was written for that person.
Every conversation runs against the same notes structure, the same objection bank, and the same after-call summary template. The output of one call updates the artifacts the next visitor will see. The site learns.
After every cycle of real conversations, the artifacts on this site get updated with what we learned. The positioning sharpens. The ICP gets more specific. New objections enter the playbook. Each artifact carries the date it last changed — check them.
Installed is new. The architecture behind it is not. These three systems were built and run in-house over fourteen years at companies like Techademy — the same architecture, before it had this name. The first client installs are in progress; their artifacts will be published here as they ship.
Rebuilt a broad lead-gen motion into a targeted ABM engine using intent data, reducing wasted pipeline and increasing sales-accepted opportunities by 72%.
Architected the go-to-market strategy for a new enterprise platform launch: from positioning and ICP through to pipeline. Generated $13M+ in influenced revenue across APAC and US.
Designed an AI-augmented content workflow that tripled publishing output without adding headcount, while improving SEO performance and content quality scores.
Same system, different depths of engagement. Start small, move deeper when the system earns the next step.
A recorded teardown of your positioning and homepage, plus a rewritten hero. Yours to keep, no call required.
Get a teardown›One AI workflow — ads, blog, LinkedIn, or sales enablement — live in your stack, your team trained, success metric agreed up front.
Start a pilot›30 days to a working go-to-market system.
Instrument your marketing team with AI. Ship more, spend less.
Senior marketing leadership, without the senior marketing hire.
Not sure where to start? Book a free 20-minute intro call ›
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