Your data stays.
The analytics moves in.

Alethiom runs funnels, paths, and attribution on the complete customer record your warehouse already holds, not the fraction a tag collected. We operate the whole product for you in your cloud account.

Book a demoExplore the product
your cloud account
Your warehousesystem of record
Alethiomengine · UI · APIs · AI

read-only role · synced as often as every 5 minutes

Your team’s browserresults out · raw data stays

The product

Every journey question, answered on one live board your whole team can read.

Tour the product →

alethiom · board
product video — board walkthrough — funnel + trend blocks on a live board (staged demo data)
drop file at site/media/home-board.mp4

The problem

Right questions, partial data. Right data, wrong engine.

That’s the dilemma you face today. Your digital analytics tool understands funnels, paths, and attribution, but only sees the data you tagged for it. Your warehouse holds all of your data, but every journey question is a slow SQL project, charged by the query. Alethiom puts the journey engine beside the warehouse, so the questions your analytics tool understands run on the data your warehouse holds.

The whole customer journey, minus the SQL project

TodayGetting orders, loyalty, support, or call center data into your analytics means sending a copy out of your cloud, or writing the journey SQL yourself.
With AlethiomAlethiom runs beside your warehouse, next to all of your data. Funnels, paths, and attribution are clicks for users and ready-made tools for AI agents, with no SQL kung fu required.

Interactive journeys, without the warehouse bill

TodayJourney analysis in your warehouse makes every funnel, path, and segment a long SQL query: slow to return, charged every time you ask.
With AlethiomAlethiom syncs the datasets you choose into its own engine in your cloud account. Funnels, paths, and segments come back in seconds, with no warehouse query to worry about.

AI that has both: the data and the journey

TodayYour analytics tool’s AI sees only the tagged fraction. Your warehouse’s AI has the data but no notion of sessions, segments, or attribution, and no semantic layer for agents.
With AlethiomAlethiom’s AI assistant runs in your account on your team’s definitions: sessions, segments, attribution, all built in. Your own agents get the same layer over MCP, respecting each person’s permissions.

How Alethiom is different

Not traditional SaaS. Not “warehouse-native.”

Traditional SaaS

A second copy, in someone else’s cloud

A copy of your customer data lives in the vendor’s cloud, where it drifts from the warehouse, so reports from the vendor never quite match queries from the warehouse.

The vendor’s AI runs on that copy, and your data becomes a training asset for their models.

“Warehouse-native” tools

No copy, but every click is a warehouse query

The UI runs SQL on your warehouse. Warehouses weren’t built for segments, attribution, or sequences, so every click is a slow, metered query: painful for a person, and prohibitively expensive for an AI agent that asks far more often than a person does.

Alethiom

The whole product, in your account, beside your warehouse

We operate the entire stack inside your cloud account: UI, APIs, journey engine, AI assistant, MCP server, syncs. Nothing is copied out, and exploration runs on Alethiom’s own engine, so it never reaches the warehouse bill.

You pay for the software, not rent on a second copy of your data.

AI at the core

An AI operator, not a bolt-on.

Alethiom’s AI runs on the same engine and definitions as the interface, so it already knows what a session, a funnel step, and an attribution window are. Hand it a task and it builds the board itself, funnel and segments included.

Governed

Same question, same answer

Most analytics AI improvises SQL, so the answer drifts each time you ask. Alethiom’s AI uses the same definitions and engine as your team. So do your own agents, over MCP, respecting each user’s permissions.

A team member

Hand it the task

Anything a user can do, it can do under that user’s permissions: build the funnel and the board, create metrics and segments, manage data and syncs. Its exploration runs on Alethiom’s engine in your account, and the warehouse never sees those queries.

Traceable

Artifacts, never assertions

Every answer lands as a real analysis built from the same components your team uses, so you can open it, check the definition, and take it further.

Inside your boundary

The AI your security team can approve

The AI service runs in your cloud account, under the same boundary and permissions as your team. One switch turns it off, model calls run under no-training terms, and you can bring your own API key. The details, written for security review →

How it works

The whole product runs in your cloud account.

Connect a read-only role

Alethiom syncs from your warehouse as often as every 5 minutes, appends, edits, and deletes included. The warehouse stays the system of record.

The whole product deploys in your account

The engine, the interface, the APIs, the AI service, and the sync workers all deploy in your account. We operate them there, and results never pass through our infrastructure.

Explore without warehouse bills

Every question runs on Alethiom’s engine in your account, so what you pay is a flat infrastructure cost, however many questions you ask. Warehouse compute never meters them.

data flowfull detail on the security & architecture page
Event sourcesvendor exports · CDP · streams
your cloud account
Your warehousesystem of record
Alethiom deploymentengine · UI + APIs · AI · sync
Your teamresults only

30-minute default sync · revocable read-only role · raw events stay in your account

The stack

Built for enterprise scale

Alethiom
AI operator
Governed semantic layer
Journey layoutsegments · sessions · attribution
ClickHouse engine, tuned for journeysperson partitioning · event pre-sort · retroactive identity restatement
↑
Your warehousesystem of record

all inside your cloud account

  1. ClickHouse, optimized for journey workloads

    ClickHouse is the open-source engine behind some of the industry’s largest workloads, and it is built into Alethiom, so there is no second vendor to buy from. What makes journey questions interactive on it is our layout: sequence-ordered storage, partitioned by person, with sessions, stitching, and attribution computed at query time.

  2. Numbers that agree with your warehouse by construction

    Everything is computed at query time from the record as it stands: when an identity change re-attributes history or late data lands, your next query already reflects it.

  3. Founded by the product owner of Adobe’s category-defining product

    We know how to build journey analytics for the world's largest brands, at trillions of events. We've built at this scale before; this time it runs in your account.

  4. Your cost structure, not a vendor's

    Compute in your account at rates you already negotiated. You control your own capacity, and it’s never shared with other tenants.

The internal sell

Your company will have questions. Here are some answers.

Security, finance, data engineering, and product will have questions. Here’s what you can share with them:

No copy of your customer data on our side.

  • Alethiom deploys inside your cloud account. Customer data is never copied to our infrastructure.
  • Alethiom talks to your warehouse and your cloud’s APIs to do its job, and that traffic stays inside your trust boundary.
  • The only data sent to Alethiom are product usage events, and product feedback your users choose to send.
  • AI can be turned off with one switch, and off means zero model-provider traffic. On, you can bring your own Anthropic API key.
  • Access runs through one scoped role you grant. You can revoke it at any time.
Forward thisSecurity & Architecture, written for a cold read →Self-contained. No marketing tolerance required.

Stop paying rent on a copy of your own data.

  • The warehouse you already run is the source, so there is no duplicate collection pipeline and no duplicate storage at vendor markup.
  • No data-transfer line-item for shipping events to and from an analytics vendor’s cloud.
  • Compute runs in your account, drawing down the cloud commit you’ve already negotiated.
Forward thisThis lane, as a link →Pricing is a conversation — book one.

A serving layer beside the warehouse, not a rival to it.

  • The warehouse stays the system of record. Alethiom’s store is a disposable cache, rebuildable from it at any time.
  • Only bounded, scheduled sync queries touch the warehouse, so it carries no exploratory load and produces no surprise bill.
  • Warehouses are built for record-keeping. Journey exploration needs a sequence-ordered engine, and Alethiom provides that engine.
Forward thisThe serving-layer architecture →Your stack stays your stack.

The warehouse is the only integration.

  • Alethiom reads the warehouse in the schema you already have. There is no pixel or SDK to deploy for Alethiom, and no vendor schema to map your data layer into.
  • If your web and app events aren’t in the warehouse yet, send your data layer there directly. Any route works, and Alethiom doesn’t care which one.
  • Once it lands in the warehouse, it’s in scope. No vendor-specific code to build or maintain.
Forward thisHow data gets into the warehouse, in the FAQ →Your data layer stays your data layer.

See it running, on data that isn’t yours to worry about.

What happens next: a 30-minute walkthrough, then a guided pilot on sample data. You see everything working before anything touches your account.

Book a demo