Go-to-Market Infrastructure, Built For You

What we build

Go-to-Market Infrastructure.

Each system works standalone. Together they form integrated revenue infrastructure that compounds.

Production

AI Content Engine

Your LinkedIn becomes a pipeline machine.

Voice-calibrated content that sounds like you, not AI. Every post tracked: who engaged, what they said, how hot they are. From zero to 20 posts per month across multiple voices without lifting a finger.

Production

AI Outbound Engine

Signal-based outbound that actually gets replies.

Detects buying signals: hiring changes, funding, content engagement, tech stack moves. Every message references something real about the prospect. 8-12% reply rates vs. 1-2% on cold spray-and-pray.

Production

Recruitment System

Two revenue streams from one system.

Side A: hiring signals detected, decision-makers contacted, meetings booked. Side B: candidates sourced, scored, and engaged multi-channel. No competitor automates both sides.

Two ways to work with us

Own your systems. Or let us run them.

Same AI infrastructure. Same results. Different operating model. Choose based on how involved you want to be.

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Build + Own

We build a custom AI system and hand it over. You own the infrastructure, the workflows, the data. Self-operate with optional maintenance support.

Full system ownership -- it's yours forever
Custom-built to your voice, ICP, and tools
Self-hosted workflows, your accounts, your data
Optional maintenance retainer for support
Expand by adding more systems over time

Book a call

We Run It For You

We run our production systems on your behalf -- customized, configured, and operated for your business. You get the results. We handle everything else.

We use our own proven systems, tailored to you
Content production, outbound, recruitment ops
No system to learn, maintain, or operate
Scale up or down based on results
You approve content, review leads, take meetings

See managed services

How it works

From brief to production in weeks

01 -- Assess

System Assessment

We map your revenue operations, identify where AI infrastructure creates the highest leverage, and recommend which system to build first.

30-minute call / No commitment / Clear build recommendation

02 -- Build

System Build

We build your AI system in 4-6 weeks. Voice calibration, workflow configuration, integration setup, production testing. Delivered working.

4-6 weeks / 30-day customization period

03 -- Own

You Own It

The system is yours. Self-operate with optional maintenance, or add Managed Services for hands-off execution. Expand when ready.

Your infrastructure / No lock-in / Expand at your pace

Case studies

Systems in the wild.

Every build here is live and operating. Here's what they do for the teams that own them.

From zero pipeline to systematic candidate and client acquisition. AI Content Engine runs 2 voice-calibrated leadership profiles at 5 posts per week. Semi-automated recruitment pipeline covering both candidate sourcing and client acquisition. Market analysis revealed 80% untapped revenue in existing accounts.

From failed cold email campaigns to multi-channel pipeline across 1,800+ accounts. AI Content Engine runs 2 executive profiles plus 4 blog articles per month. AI Outbound Engine enriched and segmented 1,800+ target accounts with LinkedIn and email sequences, each with account-level research. Quarterly vertical rotation for focused market penetration.

From no outbound to 9 simultaneous campaign segments running across 2 languages. 84 partner and 325 client accounts individually profiled. Signal-based segmentation by leadership changes, growth indicators, and revenue pressure. 4,400+ personalized messages generated in Danish and English. Every message references specific company intelligence.

Full recruitment system installed: job signal monitoring across multiple boards, automated decision-maker enrichment, and multi-channel outreach sequences. Both sides operational -- client acquisition and candidate sourcing running from a single system the agency owns and operates daily.

AI Content Engine installed and fully handed over. The team now operates the system independently, producing voice-calibrated content daily on autopilot. No ongoing dependency on us -- the system runs itself with their team in the driver's seat.

Content Engine and engagement capturing system installed for internal use and deployed across a portfolio of 25 clients. The agency runs the system for their own growth and white-labels the output for their client base. One system, 25+ voices, one team operating it.

Who builds it

Two builders. One system.

Co-Founder & GTM Engineer

Ruben Scholtz

GTM engineer with a commercial foundation. Started in sales -- cold calling, appointment setting, LinkedIn, content -- then built the AI systems that automate all of it. I find the automation opportunities, architect the business case, and ship builds myself in Claude Code: agents, workflows, data pipelines, outbound engines. The commercial layer that turns revenue problems into working infrastructure.

6+ B2B GTM systems shipped in productionClaude Code agents, n8n workflows, and MCP integrations delivered end-to-endContent + outbound operations across 3 countries and 4 languages

rubenscholtz.com

Co-Founder & AI Systems Architect

Jimmy Wigerstedt

The deep technical end of the build. While Ruben drives the commercial side and ships working systems, Jimmy goes deeper -- architecting production infrastructure, engineering complex AI agent orchestrations, and solving the hard integration problems. Every system we deliver is production-grade, self-hosted, and built to run without us.

Lead architect of the AI Content Engine -- our most deployed productAdvanced production n8n, Claude Code agent orchestration, and MCP server engineeringSystems running autonomously for clients across 4 countries

Go-to-Market Infrastructure, built for you.