AI, data and automation builds
The work your best people
still do by hand.
We build the systems a growing company would otherwise hire three vendors for. Fixed price, tested on your real data before it goes live, and yours to keep.
Two weeks
Fixed price
Access
Read access, and two hours from whoever knows the job.
Measure
your dataWhat the work costs you today: hands, hours, delays.
Shortlist
Every candidate ranked by what it gives back.
Quote
One fixed price, and the acceptance criteria in writing.
Your decision
Build it, or take the fee back.
How every engagement starts: two weeks, fixed price, your decision at the end.
What we build
Five jobs we take off growing companies.
Pick the one that sounds like your week. If none of them does, bring yours: these are the jobs we have written pages for, not the boundary of the work.
Lead research and follow-up
Every lead researched, qualified and followed up.
The research nobody has time for, the inbound that waits three days, the follow-up that depends on someone remembering. Inside the CRM you already run. This is the job we do in our own business.
See this jobAgent run
Continuous
Research
Target accounts found and researched overnight.
Enrichment
Every field your CRM needs, written in.
Qualification
92Ranked against your criteria. Top of the list.
Follow-up
Drafted in your voice. Your team hits send.
Your team
Just sells.
How you buy it
The same three steps for every job we take on. You can stop after either of the first two.
Step 1
Diagnosis
EUR 4,900, two weeks
What this work costs you today, what a system would take off your team, and a fixed quote with the acceptance criteria written down. Credited in full against a build that starts within 90 days. If it finds no job worth building, you get the fee back.
Step 2
Build
from EUR 14,900, fixed after the diagnosis
Built into the tools you already run, so there is no new platform to adopt. Tested against the criteria we wrote down, on your data. It ships when it passes, with training and full ownership.
Step 3
Run
optional
The answer to who owns it after we leave: monitoring, exception handling, and changes as the business changes. You own the system either way and your team is trained to run it, so this is a choice rather than a dependency.
True of every build we do
- Fixed price
- Quoted once after the diagnosis, invoiced once. No day rates and no running meter.
- Criteria in writing
- We agree what the system has to do, and how it will be measured, before anything is built.
- It ships when it passes
- Tested on your data against those criteria. Until it passes, we keep working at no extra cost.
- You own everything
- Code, prompts, data, accounts, documentation. Yours from day one, so there is nothing to be locked into.
- Your team runs it
- Training and a handover built for people who did not write it. If you never speak to us again, it keeps working.
Who this is for
Growing companies where capable people are still doing repetitive work.
Roughly 10 to 250 people, owner-led or close to it, in Europe or the United States. The business works. What grates is that the people you would least like to lose spend their week on lookup, retyping and assembly, and everyone has quietly accepted it because that is how it has always run.
You want a specific thing fixed this quarter, with a price you can approve and a result you can check. Not a transformation programme, and not a pilot that never ends.
Why believe us
Three things you can check yourself.
Mapular AI is young and we are not going to borrow anyone else’s logo to hide that. What we can offer instead is evidence you can inspect rather than take on trust.
We run one of these jobs
Lead research and follow-up is not a case study for us, it is how our own business runs. Ask on the call and we will show you the inside of it rather than describe it.
This site is the other one
Everything the AI-ready website job delivers is live on the page you are reading: structured data, static rendering, an llms.txt you can fetch. It is the rare offer you can audit before buying.
The team has shipped
The people behind Mapular AI have put statistical models and monitoring platforms into production, not only reports. That is why the reporting and analysis job is on this list rather than being something we would learn on your budget.
The rest of the safety is structural: a fixed price, criteria you approved in writing, a system that only ships when it passes on your data, and an evaluation scorecard handed to you at handover with the numbers from that data.
A funded way in, for German SMEs
BAFA-geförderte KI-Strategieberatung.
Für deutsche KMU: Der Staat übernimmt bis zu 80 % der Kosten einer KI-Strategieberatung. Den Antrag übernehmen wir komplett. It is a funded route to the same first step rather than a different product, and it is a waitlist while our consultant registration completes. Also available in English.
Förderung ansehenWho owns it afterwards.
Your team, by design. For companies with a queue rather than a job, a senior AI lead can sit inside the team instead.
See the seatBring the job that annoys you most.
Twenty-five minutes tells you whether it is worth building, what it would be measured on, and roughly what it would cost. If it is not worth building, we will say that on the call.