Growing fast.Messy data.No data team.Slow answers.Lumantic fixes all three in 2 monthsto help you grow even faster.

We build and run your data warehouse — human-ready, AI-ready, and cost-effective. Our trained Data Agent watches it 24/7, continuously learns, and answers your team's questions with high accuracy and a broad knowledge base.

See how it works

Your data lives in four places.
Your answers live in none of them.

Events, webhooks, databases, and APIs each hold part of the picture — but without a proper warehouse and someone who knows it inside out, every question becomes a manual investigation.

Analytics events

signups · activation

Webhooks

payment attempts · outcomes

Database

users · orders

Market APIs

competitor data · market activity

Questions keep arriving

Teams need answers now.
Hiring a senior data scientist takes months.

Growth, product, and strategy all ask the same questions — but without a trusted warehouse and someone who can interpret it, every request turns into a Slack thread instead of a clear answer.

Growth

"How are signups, activations and churn?"

Product

"Why did deposits fall, which funnel step should we optimize?"

Experimentation

"How is our new feature performing, should we roll out to all users?"

Strategy

"Where should we expand, which markets should we enter?"

Lumantic is your first and forever data team.

We build and maintain a warehouse your team and AI tools can trust — cost-effectively. Our trained Data Agent watches it 24/7 and answers questions with the accuracy and breadth of a senior data scientist.

Sources

Events
Payments
Database
APIs

Warehouse build

Discover
Ingest
Model
Validate

Human & AI ready

Warehouse
Semantics
Lineage
Cost controls

Data Agent

Monitor 24/7
Query
Investigate
Answer

Slack

Growth
Product
Finance
Strategy

Impact

Faster decisions
Trusted metrics
Root causes
More growth

Your team asks. The Data Agent answers.

Ask in Slack · Get accurate answers · Make decisions faster

Like having a senior data scientist on call 24/7

Coming soon

Automated experimentation · Dashboarding · Alerting · Monitoring · Proactive product analysis

From raw sources to a trusted answer.

We ingest messy payloads from every system, model them into a semantic layer your team can trust, then our Data Agent queries it to answer questions in plain language.

Example question

"Why did deposit conversion fall last week?"

Raw sources land as-is

Different formats, nested fields, duplicate events, string timestamps — we ingest and normalise each one before anything is joined.

Users APIREST · cursor-paginated

id:"usr_7f31"

created_at:"2026-07-15T09:21:44Z"

country:"GB"

acquisition{

channel:"paid_social"

campaign:"summer_dep"

}

device{

platform:"mobile_web"

os:"iOS"

}

Payment webhookat-least-once · nested JSON

id:"evt_pay_01988"

type:"deposit.attempt.updated"

attempt.id:"dep_a91"

attempt.user_id:"usr_7f31"

attempt.provider:"PayFlow"

attempt.amount:"75.00 GBP"

attempt.status:"failed"

failure.code:"3DS_TIMEOUT"

client.platform:"mobile_web"

client.app_version:"web-2.14"

Release logdeploy events · CI

version:"web-2.14"

deployed_at:"2026-07-15T00:17:02Z"

environment:"production"

change:"hosted 3DS handoff"

timeout_ms:30000

rollout:"100%"

previous:"web-2.13"

owner:"payments-web"

Semantic layer in your warehouse

Payloads are joined on shared keys, deduplicated, and defined as tables and metrics — human-readable for your team, structured for the Data Agent.

Join map · how sources connect

users

key: id

deposit_attempts

key: user_id · app_version

releases

key: version

deposit_conversion

key: week · platform

users.id = attempts.user_idattempts.app_version = releases.versionconversion = succeeded ÷ total

deposit_attempts

attempt_id	user_id	status	failure	platform	app_ver	amount
dep_a91	usr_7f31	failed	3DS_TIMEOUT	mobile_web	web-2.14	75.00
dep_a92	usr_7f44	failed	3DS_TIMEOUT	mobile_web	web-2.14	50.00
dep_a70	usr_7e02	succeeded	—	desktop	web-2.13	100.00

deposit_conversionmetric

week	platform	conversion	attempts
8–14 Jul	mobile_web	68%	1,204
15–21 Jul	mobile_web	51%	1,187
15–21 Jul	desktop	71%	842

usr_7f31 · dep_a91 · web-2.14 · 3DS_TIMEOUT → joined, typed, and queryable

Data Agent queries & answers

Your team asks in Slack. The agent plans the query against warehouse with coherent semantic layer, investigates, and returns a clear answer.

#growth · Lumantic Data Agent

Sarah · 9:14 AM

Why did deposit conversion fall last week?

Lumantic Data Agent

Conversion dropped from 68% (8–14 Jul) to 51% (15–21 Jul) on mobile_web.

Root cause: 3DS_TIMEOUT failures spiked 3.2× after web-2.14 deployed at 00:17Z on 15 Jul — the new hosted 3DS handoff is timing out on slower mobile networks.

847 affected attempts · ~£63k attempted volume. Impact is concentrated in GB mobile_web; desktop and iOS native are unchanged.

Deposit conversion by platform

Weekly · 24 Jun – 21 Jul

web-2.14 deploy

SQLOpen query for audit↗warehouse · deposit_conversion_by_platform · 24 Jun–21 Jul

Proposed fix

1. Roll back web-2.14 hosted 3DS handoff, or extend the timeout from 30s → 90s.
2. Add a fallback to the previous 3DS flow if the hosted handoff fails once.
3. Gate the change behind a 10% canary before full rollout next time.

Want me to keep monitoring deposit_conversion on mobile_web and report back every 4 hours until it recovers above 65%?