✦The semantic intelligence BI platform

The semantic layer, built right.
So your team and AI can't go wrong.

Most BI tools go half-semantic. Holistics goes end-to-end, from data models to composable metrics to dashboards. So your team and your Al can ask questions they never could before. And trust every answer.

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Semantic modeling layer Maintain a central store of analytics. Define metrics and analytics logic once, reuse in multiple reports.

Analytics as-code Define models & build reports using code. Check in Git for version control. Go through code review process.

AI-assisted self-service Analysts prepare and curate datasets. Business users can self-serve data using AI.

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End-to-end semantics. That's the difference.

Every modern BI tool claims a semantic layer. But ask for a running total by segment, a rolling window by region, or a custom retention cohort, and most can’t express it. The moment you do, you’ve left the semantic layer behind — back to table calculations, raw SQL, or “ask an analyst.”

And once you’re outside the semantic layer, governance breaks down and self-serve stops scaling.

Capability

Conventional BI

Holistics

Outcome

Composable metrics

Running totals, rolling windows, nested aggregations, period-over-period comparisons

Falls back to table calculations or raw SQL for complex logic

First-class composable metric definitions inside the semantic layer

✅ Self-service ✅ Governance

Business-centric self-service

Cohorts, funnels, retention curves, segmented breakdowns — analysis business users actually need

Advanced analysis requires analyst to build custom reports — or users bypass governance with raw SQL

1-click advanced analysis without leaving the semantic layer — users stay within governed definitions

✅ Self-service ✅ Governance

AI that reasons over semantics

Ask a follow-up question and get an answer that builds on the last one — not a fresh SQL query from scratch

Generates raw SQL — context lost between questions, AI ignores governed definitions

Reasons over semantic layer in AQL — multi-turn context preserved, AI respects metric governance

✅ Self-service ✅ Governance

Git version control

Who changed what, when, why — for every metric, model, and dashboard definition

UI-configured, no audit trail, definitions drift

Code-defined, Git-backed, code-reviewed — full change history

✅ Governance

Programmable semantic layer

Models, metrics, and dashboards defined as code — readable by humans, AI, and automation

Duplicated logic across dashboards, reports, exports

Define once, reuse everywhere — AI, dashboards, embedded analytics

✅ Governance

Sterling Paramore Sr Staff Data Engineer, Mainspring Energy

The semantic layer is Holistics' biggest draw because I was able to build reusable models, dimensions, metrics, and then describe them as code.

Artificial intelligence that is powerful and reliable

Holistics AI reasons in AQL — a composable analytics language grounded in your metric definitions.
Every answer is transparent, verifiable, and governed.

Learn more about Holistics AI

Ask hard questions. Get real answers.

Multi-turn data exploration where context carries from question to question. The AI handles running totals, rolling windows, and root cause analysis because it reasons at the semantic level, not by generating raw SQL.

Find the right metric before you build the wrong one.

Search across metrics, datasets, and dashboards. See definitions, lineage, and usage context — so your team uses the right data, not just the nearest data.

Teach the AI your business, precisely.

Define organization-level instructions and per-team context. The AI draws from your semantic models and metric definitions — and gets smarter as your semantic layer grows.

Guido Stark Head of Data, World Vision New Zealand

I'm seriously impressed with Holistics AI capabilities. It actually understands the content and generates working solutions, even for edge cases not directly covered.

Powerful self-serve exploration

Data teams curate governed datasets. Business users explore freely
— filtering, slicing, drilling down, combining metrics with any dimension.
No SQL, no tickets, no dead ends.

See self-service in action

Dashboards your team actually uses.

Drill down into any metric. Cross-filter across charts. Canvas dashboards let you build narrative reports with text, visualizations, and context — not just chart grids.

Explore freely. Break nothing.

Business users drag-and-drop to answer their own questions, combining any metric with any dimension on the fly. The semantic layer composes it automatically — no pre-built reports needed.

Head of Data Optimal Workshop

The ability for everyone to explore was a massive win. The whole culture has shifted. Everyone can now answer their own questions. It was the best thing we could do to create a data-driven company.

Engineering-grade BI

The reason Holistics' AI and self-service go deeper isn't magic.
It's the semantic layer underneath — composable, code-defined, and governed with engineering rigor.

Explore analytics as code

Define your data once. Use it everywhere.

Model your business in AML, a SQL-native modeling language. Every dashboard, AI answer, and self-service exploration pulls from the same governed definitions.

Your BI, version-controlled.

Models, metrics, and dashboards — all defined as code, stored in Git, deployed through code review. Manage analytics the way you manage software.

Stack metrics on metrics.

Running totals, rolling windows, period comparisons, nested aggregations — as first-class metric definitions, not table calculations. Define once, compose infinitely.

Your dbt models, surfaced in BI.

Import dbt metadata — descriptions, tags, lineage — directly into the Holistics modeling layer. One workflow, no duplication.

Head of Enterprise Analytics Strongmind

Your DRY philosophy resonated very well with me. Write BI definitions once at the semantic modeling and dashboard level and reuse them anywhere. Our data team is very lean, so this is game-changing.

Data teams that made the switch

NASDAQ-listed. Autonomous vehicle tech. 1,000 end users.

"We evaluated 41 BI tools, including mature companies, startups, open source solutions. During that process, I stumbled upon Holistics, tried it, and liked it a lot."

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Replaced Tableau and Looker. Data team of 3.

"Working with Holistics is completely different from companies like Tableau or Looker. Your team moves fast, and I can see ideas turn into features in real time."

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Migrated from Looker Studio. Marketing AI platform.

"Holistics has democratized the ability to get the right data at any given point and then visualize it in a very simple way."

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Holistics, built to help your business grow

Hands-on support

White-glove support from people who actually build the product.

From your first dashboard to scaling, the Holistics team is here to make you successful.

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The support has been great. We get updates, fixes, or even just helpful advice when it's not a technical issue. That level of responsiveness was a huge factor in our decision.

Even before we were paying customers, we felt important. That engagement—that sense that we matter—is one of the biggest reasons we chose Holistics.

Rob Winters

Head of Data, Lepaya

Trusted by data teams worldwide

From semantic modeling to self-service to AI — hear how teams use Holistics end-to-end.

We evaluated BI tools across the market. I went through an evaluation process, reviewing around 41 options, including mature companies, startups, open source solutions. During that process, I stumbled upon Holistics, tried it, and liked it.

Staff Data Scientist

Aurora (NASDAQ-listed)

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We're really excited about AQL. The general sentiment here is that your analytics query language (AQL) is powerful and that it will enable us to do a lot more. You all have done an awesome job.

Dylan Möller

Analytics Engineer, Estrid

As an analytics engineer, I was looking for a tool that allowed me a lot of data modeling flexibility and reusability. With Analytics as code, Holistics does a great job of being able to define data models and relationships using code.

Sterling P

Chief of Product, Mainspring Energy

I just build a few models and write descriptions, and people from different departments have been using them to build reports throughout the years without having to ask me or the IT team.

Martin Dell

Founder, Kyero

Holistics reduced the workload on our analysts a lot because everyone can just drag and drop their own dimensions and metrics and get the answers themselves instead of repeatedly asking a question.

Olaf Vogel

Senior Intelligence Analyst, Feeld

Excellent BI tool for customers looking for a Looker alternative. Coming from a Looker background, I was very familiar with its concepts of analytics-as-code, and we have achieved everything we needed for reporting.

Alex H

Head of Data, Pinter

Our data request queue was reduced from one month to almost instantaneous!

Oscar Bradford

Software Developer, Orange Sky Australia

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In the press

Holistics has received positive reviews for its innovative data analytics approach, enabling businesses to make informed, data-driven decisions easily.