atomhub
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Four products.Use one, or all four.

atomhub for your data, atompulse for your systems, atomiq for your business, and AI agents that act on what they see. Each runs in your cloud, and all four work best together on atomhub.

Better together on atomhubone governance kernel · lineage · agents
Your data
atomhub

The data operating system.

Every source in, governed, in your cloud. It watches its own pipelines for freshness, quality, schema drift and lineage, and its agents fix what breaks.

  • IngestionBatch, CDC and streaming from every source.
  • LakehouseApache Iceberg, Delta Lake and Parquet, in your own storage.
  • Governance kernelAccess, masking, classification and audit on every operation.
  • Lineage & data qualityFreshness, volume and schema drift on every dataset.
Agents
atombuzzatomretryatomtuneatomautomateFix
On its own
In your VPC, on-premises or air-gapped.
Together
The platform atompulse, atomiq and the agents share.
data health · last 24h1,284 tables watched
TableFreshnessVolumeSchema
orders_daily2 min+1.2%stable
clickstreamlate 14m−38%stable
watch_history5 min+0.4%fixed
payments1 min+0.8%stable
sessions3 min+2.1%stable
Schema drift on watch_history
atombuzz flagged it, lineage found 4 tables downstream, and atomretry replayed 3 partitions in 42s.
fixed by agents · 2m

Example data.

Your systems
atompulse

AI-powered observability for every log.

Live dashboards for every kind of log, and an analyst that tells you why something happened.

Agents
Log AnalystExplain
On its own
In your VPC, on AWS, Google Cloud, Azure or on-premises.
Together
Your logs land in the governed lakehouse, next to your business data, on open formats.
5xx errors · last 60 min20:05 · 4.8%
Why did 5xx errors spike at 20:05?
  1. 5xx rate by minute, last 2 hours
  2. Errors split by origin and path
  3. Bots and people in the errors

5xx errors rose from 0.4%✓ to 4.8%✓ at 20:05. 92%✓ came from checkout-api, on /cart/v1/items. Bots made up only 3%✓.

Every number is checked against the query result it came from. Example data.

Your business
atomiq

Ask your data what happened, and why.

Ask a question in plain language. Get the number, the chart and the cause, each linked to its query.

Agents
Data AnalystRCAExplain
On its own
Read-only, straight on your existing databases.
Together
Answers trace through lineage and quality checks, and agents fix the data under them.
How did revenue do last quarter?

Revenue was in Q3, below Q2. North was the only region that grew, up .

Click a highlighted number to see where it came from.

1Revenue by quarter
SELECT quarter, SUM(amount) AS revenue
FROM orders
WHERE year = 2026
GROUP BY quarter
quarterrevenue
Q2$5.26M
Q3$4.82M

Example data

Every product
AI agents

Agents that act on what they see.

On your data they fix: replay, backfill, tune and rebuild. On your systems and your business they investigate and explain, with every number checked against its query.

Works in
atomhub, atompulse and atomiq.
Together
On atomhub, they act across your data, your systems and your business.
agent activity · last 24h7 agents
  1. 14:02atombuzzFixFlagged schema drift on watch_history.
  2. 14:03atomretryFixReplayed 3 partitions in 42s.
  3. 03:10atomtuneFixCompacted small files on orders_daily.
  4. 20:06Log AnalystExplain5xx errors rose to 4.8% at 20:05; 92% came from checkout-api.
  5. 09:15RCAExplainQ3 revenue fell 8.4%; North was the only region that grew.

Example data.

Which one do you need?

Start with the question you ask most. Add the others when you need them.

atomhubatompulseatomiqAI agents
WatchesYour dataYour systemsYour businessWhat the others see
Ask itIs my data fresh, complete and correct?Why did 5xx errors spike at 20:05?Why did revenue drop last quarter?Fix last night's failed load.
Built forData and platform engineeringSRE, NOC and security teamsAnalysts, operations and leadersLean teams running data at scale
On its ownIn your VPC, on-premises or air-gappedIn your VPC, on any major cloud or on-premisesRead-only, on your existing databasesBuilt into every product

Better together on atomhub.

atompulse and atomiq work on their own. Run them on atomhub and they share one platform in your cloud, with the agents working across all of it.

  • One governance kernel

    Access, masking, classification and audit apply to logs and business data alike.

  • Answers you can trace

    From an atomiq answer to its query, its lineage and the quality checks on every table under it.

  • Agents that fix, not just flag

    When an answer looks wrong because the data is, atomhub's agents replay and backfill it.

  • One deployment, open formats

    Everything in your VPC, on Apache Iceberg, Delta Lake and Parquet.

atompulse

AI-powered observability for every log

Log Analyst
atomiq

Ask your data what happened, and why

Data AnalystRCA
atomhubThe data operating system
  • Data plane
  • Execution runtime
  • Governance kernel
  • Observability & lineage
  • Agentic operations

Agents that run it

atomautomateatombuzzatomtuneatomretry
In your cloud
  • AWS
  • Google Cloud
  • Azure
  • On-premises

Enterprise-ready, whichever you start with.

Every product brings the same basics on its own.

Runs inside your cloud

Every product deploys in your own cloud account or data centre. Your logs and business data never leave it.

  • AWS
  • Google Cloud
  • Azure
  • On-premises

ISO/IEC 27001:2022 certified

Independently audited information security. VAPT completed; SOC 1 Type II underway.

Security & compliance →

On your cloud marketplace

Buy through the marketplace you already use.

  • AWS
  • Google Cloud
  • Linode

Every number has a source

atompulse checks each number against the query it came from. atomiq links each one to it. Anyone can verify an answer.

Errors rose to 4.8%✓ at 20:05.

atompulse: checked against its query

Revenue was $4.82M1 in Q3.

atomiq: linked to its query

Not sure where to start?

Tell us what you're trying to see. We'll show you the right product, live, on your use case.