Roman aqueduct at golden hour, a kestrel overhead — infrastructure engineered to last.

Scale GTM without
scaling headcount.

We build custom GTM systems for B2B SaaS: the automation, AI agents, and data pipelines that do the manual work your reps shouldn't.

Signal Engines Enrichment Pipelines AI Agents Outbound Infrastructure CRM Data Ops Revenue Intelligence Pipeline Monitoring Browser Automation Lead Scoring Meeting Prep Signal Engines Enrichment Pipelines AI Agents Outbound Infrastructure CRM Data Ops Revenue Intelligence Pipeline Monitoring Browser Automation Lead Scoring Meeting Prep

The systems behind your pipeline.

Every company's GTM is different. The engineering patterns aren't. Here's what we've shipped.

Signal engines

Agents that watch your market and surface accounts the moment they're ready to buy.

Data enrichment

Pipelines that find accurate contact and company data at scale, cheapest source first.

AI-powered outreach

Agents that research each prospect and write personalized messages grounded in real signals.

CRM & data ops

Cleanup, dedup, routing, and lead scoring. The foundation everything else runs on.

Revenue intelligence

Meeting briefs, call summaries, and pipeline alerts, so your reps just sell.

Custom builds

Browser agents, integrations, internal tools. If it touches GTM and needs code, we build it.

How every engagement works.

We don't do discovery decks or 90-day roadmaps. We start building in week one.

01

Audit

We pull apart your funnel and find the one thing slowing it down.

02

Build

A working system, live in your stack on real data, within the first two weeks.

03

Validate

Every system ships with numbers attached. Did it move the metric? By how much?

04

Stack

Each system makes the last one better. Three months in, you have an engine, not tools.

Stop scaling headcount to fix process.

We build the systems that do it instead. Tell us where your GTM is breaking down.

Who this is for.

You've closed real deals. Not 3 friends and an investor. You know who buys and why.
Growth is the priority. Not experimenting. The mandate is scale.
Your team is lean. 5-50 people, no ops hire yet. Reps are doing everything manually.
You're ready to build infrastructure. Not buy another SaaS tool.

If you're still searching for product-market fit, this isn't the right time. We build on top of what already works.

Engineering illustration

What we're not.

A fractional team member.

We build systems that your team runs. We don't sit in your standups.

A tool configuration service.

If a pre-built solution solves your problem, use it. We build custom infrastructure.

A quick-turnaround agency.

We ship fast, but building systems that last takes more than a weekend.

A hands-off vendor.

This is collaborative. We need your domain expertise.

For pre-revenue startups.

Automation scales what already works. If the process isn't proven, systems just make mistakes faster.

Pricing.

Focused

€4,500/month

  • One system built
  • Bi-weekly sprints
  • 24h response time
  • Bi-weekly sync call
  • Minimum 3-month engagement
recommended

Full build

€6,000/month

  • Multiple systems built
  • Weekly sprints
  • Same-day response time
  • Weekly sync call
  • Minimum 3-month engagement

Your infrastructure. Your code. Your data.

Get in touch

Engineer first. Agency second.

Kestrel GTM is run by Lirim Konjusevci, a GTM engineer based in Belgium who builds the systems most agencies only configure.

I've shipped AI agents, signal-driven outbound pipelines, multi-source enrichment infrastructure, and autonomous research systems for B2B SaaS companies across Europe and the US.

The team is small by design. AI handles the heavy lifting. I architect, review, and deliver. Every client works directly with me.

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What we're building, in public.

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Questions

What kind of companies do you work with?
B2B SaaS, Seed to Series A. 15-30+ deals closed, 5-50 people, no dedicated rev-ops. You've been selling, now you need systems to scale it.
Do we need mature GTM processes already?
Defined, not necessarily mature. You should know your ICP and have messaging that converts. Automation scales what already works. If the process isn't proven, systems just make mistakes faster.
What's the difference between this and hiring rev-ops?
Rev-ops configures existing tools. We engineer new systems from scratch: AI agents, custom pipelines, production infrastructure. Different skill set, different output.
What tools do you work with?
Whatever fits your stack. TypeScript, Claude/GPT, n8n, Clay, HubSpot, Neon, Instantly. The tools matter less than the architecture.
How long does a typical engagement last?
Three months minimum. Working systems ship within 2-3 weeks. After 3 months, clients continue on a lighter retainer.
What does the first month look like?
Week 1-2: audit, data mapping, finding what's slow. Week 3-4: first working system ships live.
How much of our team's time?
2-4 hours/week from a point of contact. Decisions, not implementation. Heaviest in weeks 1-2.
Do we own what you build?
Yes. Everything: code, systems, data, docs. Runs on your infra. If we stop working together, nothing breaks.
We just need a quick campaign, is that for you?
Probably not. We build foundations that run autonomously, not one-offs.

Tell us what you're building.

Drop a few details and we'll get back to you within 48 hours.

  • B2B SaaS, post product-market fit
  • Existing GTM team, lean ops
  • Ready to invest in infrastructure over headcount
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Got it.

We'll be in touch within 48 hours.