Know when your data can't be trusted

AI-native data reliability for the ML & AI era.

Detect data problems. Understand their impact. Investigate with AI. Keep analytics, models and AI applications reliable.

anthophora / overview
Demo data

Healthy datasets

142

Datasets at risk

7

Freshness issues

3

Schema changes

2

Volume anomalies

1

Open incidents

4

transactions · row volume+48.7% vs baseline

Open incidents

INC-1042 daily_sales

Freshness · delayed 2h 14m

INC-1041 customer_orders

Schema · VARCHAR → INTEGER

INC-1040 transactions

Volume · +48% above baseline

All values shown are fictional demonstration data.

The problem

Data problems rarely start in the dashboard.

By the time a number looks wrong in a report, the problem started hours or days upstream. Anthophora is an early-warning reliability layer that sits between your data platform and the decisions built on it.

01

Data arrives late

02

Schemas change unexpectedly

03

Data volumes suddenly change

04

Validation rules fail

05

Pipelines keep running while quality deteriorates

06

Business users notice before the data team does

Product

Everything you need to trust your data today.

Seven capabilities, available now in the Anthophora MVP.

Available

Data Discovery

Automatically discover datasets, schemas and metadata.

142 datasets · 2 sources
Available

Data Validation

Define and execute data validation rules.

customer_id not null · 3.2% failed
Available

Freshness Monitoring

Detect delayed, stale or unexpectedly late data.

daily_sales · delayed 2h 14m
Available

Schema Change Detection

Detect structural changes in datasets.

customer_status VARCHAR → INTEGER
Available

Volume Anomaly Detection

Detect unusual changes in data volume.

transactions +48.7%
Available

Reliability Incidents

Centralize reliability problems into incidents.

4 open · 1 investigating
Available

Alerts

Notify teams when reliability problems are detected.

Slack · Email · Webhook

See them working together

Open the demo workspace

Data reliability → ML impact → AI impact

See how data problems reach your models and AI applications.

Anthophora is not an MLOps or model-training platform. It follows your data reliability signals downstream so you know which features, models and AI applications are affected.

Data SourceDatasetFeatureModelAI Application

Feature Reliability

Freshness, missing values, distribution, cardinality and range checks on the features your models use.

Data Drift

Plain-language explanations when distributions shift from their historical baseline.

Model Input Health

Answers one question: can I trust the data currently being supplied to this model?

AI-Powered Investigation

AI connects related changes, explains likely causes and suggests next steps.

Product philosophy

The Anthophora reliability loop.

The current MVP covers Observe → Learn → Detect. AI-powered Investigate is in preview; Explain → Act is where Anthophora is headed next.

01

Observe

Available now
02

Learn

Available now
03

Detect

Available now
04

Investigate

Preview
05

Explain

Coming soon
06

Act

Coming soon

AI-native, honestly

Use reliable detection to find the problem. Use AI to understand what happened and what to do next.

Detection · today

Reliable detection first.

Deterministic rules, statistical methods and learned baselines — where predictability and explainability matter most. Not every detection needs a language model.

Reasoning · coming soon

AI where reasoning adds value.

  • Investigation
  • Incident understanding
  • Root cause analysis
  • Correlation
  • Impact analysis
  • Recommended actions
  • Future remediation

How it works

From connection to detection in four steps.

1

Connect

Connect your data platform.

2

Discover

Anthophora discovers datasets and metadata.

3

Learn

Anthophora learns expected patterns and reliability baselines.

4

Detect

Anthophora identifies freshness, schema, volume and validation problems.

Next on the roadmap: Investigate → Explain → Act

Not just a dashboard

Anthophora watches how your data behaves.

It continuously observes data behavior and flags the changes that could affect trust — in plain language your team can act on.

Freshness

"Orders data normally arrives every 30 minutes. Current delay: 2h 14m."

Schema

"Column customer_status changed from VARCHAR to INTEGER."

Volume

"Today's transaction volume is 48% above the learned baseline."

Validation

"3.2% of records failed the customer_id validation."

Example signals use fictional demo data.

Available now vs coming soon

Clear about what's shipped — and what's next.

Available now
  • Data Discovery
  • Data Validation
  • Freshness Monitoring
  • Schema Change Detection
  • Volume Anomaly Detection
  • Reliability Incidents
  • Alerts
Coming soon
  • Root Cause Analysis
  • Incident Correlation
  • Impact Analysis
  • AI Reliability Agent
  • Automated Remediation

Integrations

Works with the platforms you already run.

PostgreSQL
Available
Databricks
Available
Snowflake
Coming soon

Built for

For the people accountable for trusted data.

Especially teams running Databricks, PostgreSQL and modern cloud data platforms.

Heads of DataData Engineering leadersData Platform teamsAnalytics EngineeringData ScientistsCTOsModern data teams

Pricing

Explore → Pilot → Enterprise.

Start with your own tables, prove value in your environment, then scale.

Explore

Try Anthophora with your data

Free

  • Up to 10 tables
  • Limited-time access
  • Hosted in Anthophora public cloud
  • All current MVP capabilities
  • Self-service
Start Exploring

Pilot

Most common path

Run Anthophora in your environment

Custom Pilot

  • Customer environment / premises
  • Agreed pilot scope
  • Real datasets
  • Guided onboarding
  • Current MVP capabilities
  • PostgreSQL / Databricks
  • Defined pilot period
  • Pilot support
Request a Pilot

Enterprise

Scale Anthophora across your data platform

Let's Talk

  • Enterprise-scale deployment
  • Customer environment / private cloud
  • Custom scope
  • Enterprise security requirements
  • Advanced integrations
  • Future AI capabilities
  • Dedicated support
Join Enterprise Waitlist

Detect data problems before they become business problems.