Your GTM,
engineered.

We build production systems: AI agents, enrichment pipelines, signal engines. So your team sells more without scaling headcount.

Engineering infrastructure illustration
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

AI agents that monitor intent data, hiring signals, funding events, and buying windows. The right accounts surface at the right time, from a system that watches your market continuously.

Enrichment infrastructure

Production pipelines that waterfall through 6+ data providers, optimized by hit rate and cost. Cheap sources first. Built in TypeScript, not a spreadsheet.

AI-powered outreach

Autonomous research → personalized copy. Every message grounded in real signals about the company and person. The agent writes like your best rep on their best day.

Data layer

CRM hygiene, routing, dedup, lead scoring. The unsexy foundation everything else depends on. If your data is broken, nothing downstream works.

Revenue intelligence

Meeting briefs, post-call summaries, buying committee maps, pipeline health alerts. Your reps sell. The system does the rest.

Custom builds

Browser agents, API integrations, internal tools, data pipelines. If it touches your GTM and needs engineering, 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 data layer. What's manual? What's broken? What data exists but isn't connected? We find the thing that's capping your throughput.

02

Build

Production system, live in your stack, running on real data. Not a prototype. Not a deck. Shipped and working within the first two weeks.

03

Validate

Every system ships with numbers attached. Did it actually move the metric? By how much? We don't guess. The data is the answer.

04

Stack

Solving one problem always reveals the next. Each system we ship makes the previous ones more effective. Three months in, you have an engine, not a collection of tools.

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 compound takes more than a weekend.

A hands-off vendor.

This is collaborative. We need your domain expertise.

For pre-revenue startups.

Automation amplifies what you have. 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
  • 3-month engagement
recommended

Full build

€6,000/month

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

Your infrastructure. Your code. Your data.

Work with us

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.

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 amplifies what you have. 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, constraint identification. Week 3-4: first production 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.

Ready to engineer your GTM?

Work with us