Predictive CRM Analytics

Lossless CRM Historisation for Your AI Models

Redlake autonomously reconstructs seamless time series from transient CRM APIs — schema-agnostic and mathematically consistent for your forecasting.

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Redlake at a Glance

  • Format: Schema-agnostic delta tracking
  • Goal: ML-ready time series data for analysis and forecasting
  • Interfaces: Connects to common CRM APIs
  • Integrity: Industry standard, best practices

In collaboration with our partners

Microsoft Softwareallianz IAMCP UNITECH PRONEXT BVMW

Your CRM Only Focuses on Now

Why classic ETL pipelines regularly fail on dynamic CRM data

  • Data Loss: CRM updates overwrite historical values, and important time histories are lost.
  • API Throttling: Regular full snapshots overload source systems and exceed desired transfer quotas.
  • Schema Drift: Structural changes in source systems cause errors and inconsistent data series.

The Redlake Solution

Mathematically consistent data series, straight from your CRM APIs

Event-Based Delta Tracking

API-friendly time-series reconstruction of transient states, without overloading source systems with full snapshots.

Autonomous Schema Adaptation

Automated resolution of schema drift, so structural changes at the source never lead to data loss.

Historical Data Capture

All slow- and fast-changing data is captured daily and made available for analysis and ML forecasting.

4 Steps to an ML-Ready Data Foundation

Redlake's structured implementation and validation process

API Analysis

Mathematical design and detailed analysis of your CRM interfaces.

Delta Tracking

Building the event-based algorithms for resource-efficient capture.

Schema Integration

Implementing autonomous transformation logic for structural changes.

Causal Validation

Quality checks on generated features for ML models, plus scaling tests.

With Redlake, we were able to make the historical development of our CRM data usable for our deep learning forecasting models.
Dr. Robert Lehmann Head of IT, Real Estate Industry
Bescheinigungsstelle Forschungszulage (BSFZ)

The BSFZ seal certifies the R&D activity of companies that have received at least one positive ruling from the Bescheinigungsstelle Forschungszulage (BSFZ).

Frequently Asked Questions

With event-based delta tracking, we capture only genuine data changes instead of constantly pulling full snapshots. This drastically reduces API load and avoids data gaps, even when the source system's change rate is high.

Classic ETL processes break down when schema drift occurs. Redlake has built-in, autonomous schema adaptation: structural changes at the source are detected and mapped into the historical time series without any loss of information.

Yes. Our mathematical validation routines check the causal integrity of the data streams, algorithmically ensuring that logical state sequences are respected — which reliably prevents distortions in your ML features.

Absolutely. The underlying data lakehouse architecture was designed specifically for exponentially growing histories, and was put through intensive experimental scaling tests during our development process.

The CRM must provide access to the data via an API such as REST or webhook.

Unlock Your CRM's Potential

Find out how Redlake fits your CRM.

Turn transient CRM states into a mathematically consistent data foundation for your AI forecasting.

  • An interface and API load analysis of your CRM
  • Evaluation of potential schema drift risks
  • An architecture proposal for delta tracking
  • A review of ML featurisation readiness
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Finally Make Your CRM History AI-Ready

No more gaps in your time series. Book your free Redlake consultation today.

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