A BI engine and studio in one install. Your organization's measures live in a semantic model, so any agent — Claude, ChatGPT, Grok or your own — answers with numbers it cannot make up. No Python. No R. Nothing to pip install.
Above: agents asking the example model for its measures. The stars are its tables, the bright points its measures. The red comet asked for one that doesn't exist — and got a no.
51
visuals, from ledgers and Sankey diagrams to routes on a map
98
tools for agents over MCP: model, queries, reports, notebooks, versions
2,549
DAX queries checked against Power BI's own answers. 0 failures.
1
signed installer. No Python, no R, no packages to keep alive.
OpenBI Studio. Now on Mac.
Built for Apple silicon. Reports, models and notebooks, with the engine running right on your Mac.
Reports that read like a page. Charts, maps and tables from your model, designed in place.
The world, in your data. Maps of countries, counties and routes, drawn from the model.
See your model. Tables, relationships and measures, laid out to drag and explore.
DAX, timed. Every query with its server timings, query plan and model analyzer.
Plans that decide. Operations research notebooks: routes, production plans, what-ifs.
Code first. Results next to it. DAX, SQL and C# notebooks for predictions, risk and networks.
Your data stays on your Mac.
The engine runs on Apple silicon, right on your Mac. Nothing leaves it unless you publish.
Signed. Notarized.
Signed with Norway Analytics' Developer ID and notarized by Apple: it opens without a warning.
Apple silicon (M1 or later), macOS 14 Sonoma or later. Signed by Norway Analytics and notarized by Apple. Live connections to Analysis Services and Power BI, and Analyze in Excel, are Windows-only for now.
Why another BI tool
Python and R were made for humans.
They were built for people at a keyboard, one package at a time — and they are wonderful at that. But an agent doesn't need a REPL and forty dependencies. It needs one engine that answers in milliseconds, and says no when a name doesn't exist.
OpenBI's engine is written in C. DAX, SQL and Power Query run inside it, and so do the libraries that do the heavy lifting — DuckDB, OR-Tools, QuantLib, igraph, LightGBM and Typst. One engine, one model, one answer.
“The fastest dependency is the one you never installed.”
a stack of packagesone engine
Your wingman
Talk to me, Goose.
You're never alone. DAX, M, MDX, SQL — the syntax you used to fight is a thing of the past. Ask in words; your agent writes the query, OpenBI checks it against the model, and the answer comes back in words.
Agent session · Example Brewery
Recorded from a real session over MCP:
ClaudeChatGPTGrokyour own
OpenBI Studio — the DAX view
Connect any agent in one line (the studio shows yours, with its own key):
No cut points: no single shop holds the network together.
The agent's explanations, word for word, from the studio's explain tool on the example project.
The semantic model
An analytical language that can't be hallucinated.
Like SQL, Open Analytics Expression (OAX) is exact: a query names measures and columns that exist, or it fails. Your organization's measures, relationships, roles and calendars live in one semantic model — written once, by people who know what “revenue” means — and every agent uses the same definitions.
Measures with descriptions
Relationships
Roles and row-level security
Calendars and time intelligence
TMDL text, in git
measure'Revenue' = SUMX(Sales, Sales[Liters] * RELATED(Products[Price per liter]))
formatString: #,0
/// NOK of revenue for each liter soldmeasure'Revenue per liter' = DIVIDE([Revenue], [Liters sold])
formatString: #,0.00
A replay of the example project's answers, recorded from OpenBI. The misspelt names are refused exactly as the engine refuses them.
Model · Example Brewery — 17 tables, 8 relationships
Versions
Made a mistake? Recover in a breeze.
Every change — yours or the agent's — is tracked in git and saved as versions you name. The model is text, so a change reads like a sentence, and going back is one click.
e3968e4
The brewery as it came
085341d
Add Revenue per liter: NOK of revenue for each liter sold
[Revenue per liter] = 44.36
a mistake
[Revenue] deleted
[Revenue per liter]: the value for column 'Revenue' cannot be determined
back to 085341d
Restored — the model loads again as saved
[Revenue per liter] = 44.36 · 0.6 ms
The real sequence, from the example project — the agent made the mistake on purpose.
Versions — the agent's change, as a diff
Trust, but log
Don't trust agents? Neither do we.
Every step an agent takes is in the activity log, with its badge and the time: the queries it ran, the measures it changed, the versions it saved.
It never sees a password or a key: when a source needs signing in, the studio asks you, and the agent waits.
Roles and row-level security in the model decide what each reader sees — and “see as” shows you exactly that.
It is told to save a version only when you agree — and any version can be undone.
we detect everything
Activity — what you and the agent did
The visuals
51 visuals. One runtime.
Every picture below is OpenBI drawing the example project — captured, not mocked up. Flip the owl switch and they all turn dark, because the visuals do too.
Chart themes
Do you love ggplot? We've got you covered.
Or something more serious? Nine looks, one attribute on the page — the same chart, the same data, drawn by OpenBI in each.
data-style="ggplot"
Are you an owl? We have a dark theme — for the studio, the reports and this page.
Financial reporting
Statements as finance prints them.
A chart of accounts read as a parent-child tree, added up by its operators. Actual against budget and last year, variance bars, comments on figures — and out the other end, Excel with live formulas, or a typeset PDF.
Finance — pick 2026, click a plant, every statement follows
The same statement as a typeset PDF · move to zoom
Excel with formulas
Totals and variances as formulas, the rows as an outline, the figures exact with the scale in their number format.
Typeset PDF
Typst on the server: rules, a double rule under the total, headings on every page, comments as footnotes. PDF/A on request.
Comments on figures
Right-click a figure to comment. Kept with the report, who and when, under the selection they were written for.
Formulas
Are you a mathematician? LaTeX is there for you.
Write formulas in TeX on any report page, and put the model's live values in them with \val{[Measure]} — they follow the page's filters. Below is the same renderer OpenBI ships. Type away.
A report page: S and C are the model's values, live
One tool
Everything inside. Nothing to install.
Operations research, quantitative finance, network analysis and prediction — next to OAX, SQL and Open Query, in the same engine, on the same model. No second runtime, no extra packages.
Planning — move the sliders and OR-Tools plans the vans' routes again, live; the rates move the NOK curve (QuantLib)
OR-Tools
Operations research
Production plans, vehicle routes, schedules — with what limits them and what one more of each is worth.
igraph
Networks
Communities, centrality, bridges — who matters, and why.
QuantLib
Quantitative finance
Curves, bonds, options, FX, VaR — and QUANT.* functions right in DAX.
notebooks
Code first
DAX, SQL and C# steps, versioned and approved by a person before they reach the model.
LightGBM
Prediction
Churn, propensity, forecasts — trained on the model's history, scored with PREDICT() in DAX.
DAX engine
Power Query M engine
SQL · DuckDB
OR-Tools
QuantLib
igraph
LightGBM
Typst PDFs
XMLA for Excel
Notebooks
Every question, a notebook. No compute bill.
Forecasts with LightGBM, valuations with QuantLib, plans and routes with OR-Tools, networks with igraph — each a notebook of OAX, SQL and C# steps that runs on your own computer, beside the model. No cluster to rent, no cores billed by the hour, and your data stays where it is.
Liters ahead — what it found
Liters ahead — the notebook
LightGBMHow much will we sell in the next 6 months? Strong: off by 2 % over the six months held back — a simple rule was off by 3 %. A person approves it before it forecasts in the model.
Bond portfolio — what it found
Bond portfolio — the notebook
QuantLibWhat are the treasury's bonds worth, and what drives their risk? Market value 884.94 M, DV01 −318,623: a basis point costs 318,623. VaR 99 %, one day: 3.79 M.
Delivery routes — what it found
Delivery routes — the notebook
OR-ToolsWhich shops does each of three vans visit, and in what order? Three vans, sixteen shops, 65.7 km in all; the longest round is 26.9 km.
Who buys what — what it found
Who buys what — the notebook
igraphWhich shops buy alike, and which products tie them together? Nineteen nodes, sixty edges, two communities; Pils, IPA and Cider matter most.
It runs on the cores you already have — your laptop, or a server of your own. Nothing to rent, nothing metered.
Approved by a person
The agent saves drafts and never approves. Someone other than a version's author approves it before it is used.
All in one place
The model, its notebooks, their versions and the reports: one project folder, one git history.
Security
Your fast track through the security review.
Fewer moving parts, fewer surprises. No interpreter to patch, no package manager pulling code at run time — one installer, signed, with its bill of materials inside.
0known vulnerabilities
in the 45 components that ship, checked against OSV and NVD when the installer is built — a build with one stops.
1signed installer
OpenBI's executables and engine signed by Norway Analytics; a CycloneDX bill of materials installed with the studio.
0secrets for agents
Credentials stay with the studio. PDF typesetting runs in an empty folder that can read no file and fetch no package.
Excel
Old-fashioned and love Excel? Darling, we've got you too.
Click Analyze in Excel and a PivotTable opens, live on the model: Excel speaks to OpenBI the way it speaks to Analysis Services. Your CUBE formula dashboards can come right back.
PivotTables and slicers over the live model — the measures and roles you defined.
CUBE formulas: the MDX they send, answered by OpenBI.
Statements to .xlsx with their formulas, when you'd rather have a file.
Book1.xlsx — connected to OpenBI · Example Brewery
OpenBI peaks at 18.4 report pages a second on one 16-core server. Microsoft’s Analysis Services, on the same server, at 16.8. Neither returns an error.3
18.4
report pages a second at OpenBI’s peak, with 64 simulated users. Analysis Services peaked at 16.8, with 32.3
Pages a second at each engine’s peak. Longer is more.
Analysis Services 16.8
OpenBI 18.4
0
errors at every step, from both engines. OpenBI up to 512 simulated users, Analysis Services up to 128.4
One mark per step, simulated users doubling. Hollow: not measured.
Bringing OpenBI to a whole organization? Meet Querex.
Querex AS is OpenBI's Enterprise Partner. They connect an organization's databases, semantic models, files and APIs into one workflow — with the access you authorize — and put agents to work on it: from data to decisions in seconds.
OpenBI is updated often; every release is on the Releases page. Tell us who you are, show us you're not a robot, and the installer is yours.
OpenBI Studio
Your download has started.
If it hasn't, download the installer. The link works for 24 hours. When you run it, Windows names the publisher: Norway Analytics.Open it, and it installs OpenBI Studio in Applications: signed by Norway Analytics, notarized by Apple.Ro!
OpenBI Studio — the DAX view
The same statement as a typeset PDF · move to zoom
Enterprise Partner