AI Model Management

One enterprise platform for all AI models and AI applications – from machine learning to AI agents.

One view across every AI model. Monitor status, versions, and quality while keeping every change fully traceable. AltaSigma AI Model Management streamlines development, evaluation, governance, and operations across all model types.

Model Management2 Habitats · 7 Augurs
Habitat 01

Agents & LLMs

3 Augurs

Knowledge Assistant

PrivateGPT-based RAGRAG

Customer Engagement

Smart DialogText Generation

Analytics Copilot

Prompt AnalyticsText-to-SQL
Habitat 02

Deep Learning & ML

4 Augurs

Machine Condition

Predictive MaintenanceF1 Score0.94

Quality Inspection

Wood Quality AnalyzermAP@0.500.91

Demand Planning

Advanced Forecasting & PlanningMAE0.0346

Customer Segmentation

Customer SegmentationSilhouette0.62
Two Habitats. Every model type. One unified view.

How AI Model Management works

A unified AI lifecycle moves models into production faster. Clear standards, centralized governance, and end-to-end transparency reduce effort, risk, and coordination overhead.

  • Standardize AI Model Setup

    Preconfigured Solution Templates accelerate the setup of new AI models. Logging, audit trails, versioning, and transparency are built in from the start. Configure data sources, model parameters, and use-case-specific settings.

  • Integrate the Best-Fit Algorithm

    Match every use case with the algorithm that best fits its business and technical requirements. Whether open source, commercial, or custom-built, AltaSigma integrates algorithms and AI models into a unified AI lifecycle for versioning, access control, and operations.

  • Monitor, Compare, and Control AI Models

    Continuous evaluation shows how reliably each AI model performs and how quality evolves over time. Every model state is preserved as a distinct version. Augur Time Travel lets you compare versions, configurations, and quality metrics side by side - and quickly roll back to a proven version when needed.

  • Run AI in Batch and Real-time

    Deploy AI models for automated batch processing or real-time inference, depending on the use case. LLMs integrate through standardized APIs and can be embedded into existing applications, workflows, and AI Agents.

  • Govern AI Models and AI Applications

    Organize AI models and applications in functional or organizational workspaces called AltaSigma Habitats. Govern the Augurs within each Habitat through clear access rights, responsibilities, and data permissions. Deploy flexibly in public or private cloud, on-premises, or fully air-gapped.

  • EU AI Act, AI Governance & ISO/IEC 42001

    Model versions, configurations, and data processing remain documented and traceable. Changes to parameters and settings are versioned, creating a transparent record of model development. AltaSigma provides a robust technical foundation for AI governance, auditability, and compliance with the EU AI Act and ISO/IEC 42001.

Turn AI into Business Value

See how organizations use AI Model Management to scale applications, streamline operations, and continuously improve models across the AI lifecycle.

Unlock the Value of Enterprise Knowledge

An industrial machinery manufacturer turns fragmented expertise into an accessible AI knowledge service. AI agents connect manuals, wiki content, drawings, tables, and service records with their original sources, giving R&D, Service, and Quality teams instant access to the knowledge they need. The same foundation can power customer-facing Data & Knowledge Services and open up new digital revenue opportunities.

Knowledge Assistant quality reportSample data: Retrieval Recall 91 percent, Retrieval Precision 68 percent. Answer Quality: excellent 58 percent, good 30 percent, fair 8 percent and poor 4 percent.Knowledge AssistantReportsRetrieval Recall91%+4.2 pts vs. previous runRetrieval Precision68%−1.8 pts vs. previous runAnswer QualityExcellent 58 %Good 30 %Fair 8 %Poor 4 %Knowledge Assistant quality reportSample data: Retrieval Recall 91 percent, Retrieval Precision 68 percent. Answer Quality: excellent 58 percent, good 30 percent, fair 8 percent and poor 4 percent.Knowledge AssistantReportsRetrieval Recall91%+4.2 pts vs. previous runRetrieval Precision68%−1.8 pts vs. previous runAnswer QualityExcellent 58 %Good 30 %Fair 8 %Poor 4 %

Scale AI Across the Smart Factory

An automotive supplier uses PLC and sensor data to create a digital twin of more than 100 production assets. Because every machine has its own operating characteristics, each asset is powered by an individually trained AI model. All models are centrally managed, monitored, and continuously improved — creating a scalable digital representation of the entire machine fleet that can be efficiently extended to additional assets.

Predictive Maintenance with individual AugursSixteen compact Augur cards for machines 47 to 62, a section of a model fleet with 112 Augurs. Each instance shows its F1 score, a small trend and a status dot. Fourteen machines are marked stable; machines 49 and 54 as monitor. Illustrative sample data.Predictive Maintenance112 AugursMachine 47: Stable; F1 score 0.94Machine 47F10.94Machine 48: Stable; F1 score 0.91Machine 48F10.91Machine 49: Monitor; F1 score 0.88Machine 49F10.88Machine 50: Stable; F1 score 0.96Machine 50F10.96Machine 51: Stable; F1 score 0.93Machine 51F10.93Machine 52: Stable; F1 score 0.95Machine 52F10.95Machine 53: Stable; F1 score 0.92Machine 53F10.92Machine 54: Monitor; F1 score 0.90Machine 54F10.90Machine 55: Stable; F1 score 0.97Machine 55F10.97Machine 56: Stable; F1 score 0.94Machine 56F10.94Machine 57: Stable; F1 score 0.91Machine 57F10.91Machine 58: Stable; F1 score 0.95Machine 58F10.95Machine 59: Stable; F1 score 0.93Machine 59F10.93Machine 60: Stable; F1 score 0.96Machine 60F10.96Machine 61: Stable; F1 score 0.92Machine 61F10.92Machine 62: Stable; F1 score 0.94Machine 62F10.9416 of 112 AugursStableMonitorPredictive Maintenance with individual AugursSixteen compact Augur cards for machines 47 to 62, a section of a model fleet with 112 Augurs. Each instance shows its F1 score, a small trend and a status dot. Fourteen machines are marked stable; machines 49 and 54 as monitor. Illustrative sample data.Predictive Maintenance112 AugursMachine 47: Stable; F1 score 0.94Machine 47F10.94Machine 48: Stable; F1 score 0.91Machine 48F10.91Machine 49: Monitor; F1 score 0.88Machine 49F10.88Machine 50: Stable; F1 score 0.96Machine 50F10.96Machine 51: Stable; F1 score 0.93Machine 51F10.93Machine 52: Stable; F1 score 0.95Machine 52F10.95Machine 53: Stable; F1 score 0.92Machine 53F10.92Machine 54: Monitor; F1 score 0.90Machine 54F10.90Machine 55: Stable; F1 score 0.97Machine 55F10.97Machine 56: Stable; F1 score 0.94Machine 56F10.94Machine 57: Stable; F1 score 0.91Machine 57F10.91Machine 58: Stable; F1 score 0.95Machine 58F10.95Machine 59: Stable; F1 score 0.93Machine 59F10.93Machine 60: Stable; F1 score 0.96Machine 60F10.96Machine 61: Stable; F1 score 0.92Machine 61F10.92Machine 62: Stable; F1 score 0.94Machine 62F10.9416 of 112 AugursStableMonitor

Turn Marketing into a Performance Engine

A leading telecommunications company uses AI to identify high-value audiences, personalize engagement, and put every marketing dollar to work. Models are continuously evaluated to surface the approaches delivering the strongest results. With Augur Time Travel, teams can compare model versions, understand what changed, and instantly restore a proven model when performance starts to decline.

Compare model versions in Augur Time TravelCampaign-control example: v14 is current with MAE 0.0346, v13 has MAE 0.0412 and v12 has MAE 0.0489. Earlier model versions can be compared or restored. Illustrative sample data.Augur Time TravelModel Versionsv14Aug 28, 2026MAE0.0346Currentv13Aug 14, 2026MAE0.0412Comparev12Jul 31, 2026MAE0.0489RestoreCompare model versions in Augur Time TravelCampaign-control example: v14 is current with MAE 0.0346, v13 has MAE 0.0412 and v12 has MAE 0.0489. Earlier model versions can be compared or restored. Illustrative sample data.Augur Time TravelModel Versionsv14Aug 28, 2026MAE0.0346Currentv13Aug 14, 2026MAE0.0412Comparev12Jul 31, 2026MAE0.0489Restore

Turn Data and Processes into AI Value.

Reliable data and proven processes are the foundation for AI that delivers real business value. In a demo tailored to your use case, we show how standardized workflows, governance, and preconfigured AI building blocks come together to move from use case to measurable, lasting impact - faster.

FAQs

Yes. The AltaSigma Solutions Catalog includes preconfigured Solution Templates for use cases ranging from customer segmentation and forecasting to document analysis, anomaly detection, and predictive maintenance. Use them to quickly set up AI models and applications, tailor them to your needs, and move them into production.

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