Prototypes are easy.We build the one that runs on Monday.
Nebuchadnezzar Network is an AI and data engineering studio. We join teams who have proven an idea and now need it to survive real data, real users, and a finance review — pipelines, retrieval, evaluation, and the unglamorous operational work underneath.
Three things we were brought in to fix
Each of these started as a prototype somebody was proud of and a problem nobody could schedule around.
Things we have shipped
Products and platforms running in the open. Some we built end to end, some we joined partway and helped finish.
Flight search, reinvented with AI for experienced and more luxury travelers
Jobbigt.nu is a Swedish / Norwegian job board search engine consisting of a shared backend that serves multiple boards
Fan site for the Eurovision Song Contest packed with statistics and data from every single Eurovision event taken place, since 1956.
Hydra is a modern CMDB with automation and CI/CD workflows in its heart. Launching in 2027
CheckX is a Checkmk monitoring TUI (Text User Interface) for us nerds that really like to interact with our systems using a console.
How an engagement runs
Four stages, each one consuming the last. You can stop after the first and still have something worth the money.
Map
2 weeks
We map your requirements, make a prioritizations and decide on steps needed
You receive: A written assessment and work on budget
Proof Of Concept
6–12 weeks
We strongly believe that prototyping should go fast. Lets fail fast and recover fast.
We will build an interface you can interact with, using fake data or limited production data, live in the cloud for easy access.
You receive: Lets play
Prove
Build-it
We build and deploy based on the feedback from the prototype, in the cloud or in your own datacenters its you’r call. You own the code and all assets.
You receive: We build and deploy the first version
Next step
2 weeks
It’s your decision. You own the code and can continue on your own, at your own pace or we can continue to build on what we created planning the next version. We are flexible and are here to help you all the way to product release and beyond but you always decide.
You receive: We decide how to push forward
What we actually do all day
Most engagements touch four or five of these. We would rather do a narrow thing properly than list capabilities we would have to learn on your budget.
- Data platforms
Pipelines, storage, and the contracts between them. Batch or streaming, with lineage you can audit when a number looks wrong.
dbtAirflowPostgresIceberg
- Retrieval and search
Ingestion, chunking, embeddings, hybrid search, and rerankers tuned against your corpus rather than a public benchmark.
pgvectorOpenSearchrerankers
- LLM applications
Tool use, orchestration, and guardrails. Built on the Claude API or whichever model actually fits the latency and cost you have.
Claude APIMCPagent loops
- Evaluation
Golden sets, offline scoring, and online checks, so changing a prompt or a model is a decision you can measure instead of argue about.
eval harnessesLLM judgesregression gates
- Production and cost
Caching, batching, routing, and tracing. What a request costs today, where that money goes, and how to make the number smaller.
OpenTelemetryprompt cachingbatch APIs
- Handover
Runbooks, decision records, and pairing with your engineers until they own it without us. Leaving cleanly is part of the work.
ADRsrunbookspairing
Tell us what is stuck
One email, no form. The more specific you are, the more useful the first reply will be — we would rather read three awkward paragraphs than a calendar invitation.
- What exists today, and what it gets wrong
- Who it is for, and how many of them
- What has to be true for this to count as finished
We answer every enquiry within two working days.