Proactive Anomaly Detection
Problems are noticed late, after the losses have already happened.
The system finds anomalies on its own, so you can react fast.
AERO DATA & AI
AERO PULSEThe AI Analytics Platform That Finds What You'd Miss
Ask a business question in plain language. Get an answer grounded in your data — with the sources and logic shown, not just a number.
Automatically finds anomalies- Identifies the causes behind metric changes
- Lets you work with data and ask questions in natural language
Built by AERO's Data Team
- 25+
- dedicated data specialists — team leads, architects, analysts, engineers
- Hadoop
- Greenplum
- ClickHouse
- PostgreSQL
- MS SQL
- Spark
- NiFi
- GE
- Airflow
- dbt
- Kafka
- Zabbix
- Grafana
- and more
With partners including ArenaData, Cloudera, Informatica (DIS Group) and BSSG (Damask).
We find the bottlenecks and growth points hiding in your data, stabilize chaotic storage, unify fragmented data sources, build the DWH / data lake / ETL / BI foundation that AeroPulse — and everything else AERO builds — runs on, help turn data into monetization opportunities, and build product analytics from the ground up.
Before / After
Lower Headcount Costs
An analyst manually builds reports, cuts and dashboards: a full day of work, minimum.
AI assembles reports automatically; the team focuses on decisions.
Faster Access to Data
Ask an analyst, wait 2–3 days, get an answer that's already outdated.
Ask in chat, get an answer with data and a chart in seconds.
A Digital AI Analyst
No analyst available means no answer.
Every answer comes with the calculation logic and sources explained, understandable to any role.
Find the Causes Behind Every Change
The platform finds the causes of changes itself and draws conclusions.
- Analyzes dozens of factors
- Tests hypotheses automatically
- Recommends next steps
Instead of hunting for answers across dozens of reports — one consistent line of investigation.
Talk to Your Data Like an Expert
AeroPulse understands questions in plain language and answers with full business context.
- No SQL or documentation search required
- Explains metrics and calculation logic
- Uses your company's own internal context
- No fixed menu of allowed questions
Fast access to analytics for the whole team, not just the analysts.
Get Analytics, Not Raw Data
On request, the platform builds visualizations, reports and analytical summaries.
- Creates charts, tables and funnels
- Automatically highlights the key changes
- Prepares short written takeaways
Instead of manually building reports — ready-made analysis in seconds.
Stay Ahead of Problems
AeroPulse continuously watches your business metrics and only surfaces what actually matters.
- Detects anomalies
- Prioritizes them
- Launches an investigation in one click
- Automatically notifies the right people, with context already prepared
Fewer losses, because deviations get caught early.
Trust & Accountability
Every report shows its underlying queries, data sources and answer logic
Every action is logged, so any result can be reproduced and checked
Fast verification — everything needed to check an answer is already in one place
Most questions can be resolved independently; bring in an analyst only when you actually need one
Product Configuration
Runs on-premise, inside your own environment
Works on top of your existing data platform
Connects to your analytics infrastructure
Works with different LLMs — deployed in your own environment or in the cloud
What You Need to Launch
DWH
What you needAn existing analytical warehouse, with read-only access.
What we can provideIf needed, we deploy a dedicated warehouse and set up integrations during implementation.
Data catalog
What you needDocumentation of metrics, tables and data lineage.
What we can provideThe catalog can ship as part of AeroPulse and be populated with semantics during implementation.
LLM
What you needAccess to an external LLM API, or a model deployed in your own environment.
What we can provideWe can deploy a local model during implementation as an alternative.
Delivered with the platform: Python/FastAPI, React + Mantine, OpenMetadata, Elasticsearch, MySQL, Apache Airflow, PostgreSQL + pgvector, Ollama, Caddy, Docker Compose.
Optional: Apache Spark, for heavy processing once volume outgrows what the warehouse can compute — scoped and deployed separately.
Built on an AI-Ready Data Foundation
AeroPulse sits on top of three layers most companies have never fully built:
Sources of Truth
Data models, transformations, tests and tables inside the warehouse.
Data Foundations
Semantic layer, business glossary, data lineage.
Skills
Digitized expertise and analytics — ready-made instructions, workflows, exceptions, best practices and algorithms.
The Bottom Line
Launch AI solutions in weeks, not months
Fewer failed pilots
Lower risk of errors, leaks and “hallucinations”
One trusted data layer serving multiple AI use cases
Fewer escalations to a human
Lower cost of errors and repeat requests
A higher share of automated scenarios
More data reuse across use cases