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Dataslab AI Platform
An extension of Enterprise DataHub that provides tools for developing, deploying, and scaling AI and ML solutions in an enterprise environment.
Dataslab AI Platform brings together services for Data Science, MLOps, and AIOps, enabling the implementation of modern AI use cases in an enterprise environment. The platform supports LLMs, chatbots, intelligent search, document analysis and classification, as well as automated data processing and the creation of digital assistants.
The solution operates on top of Dataslab Enterprise DataHub, providing models with access to centralised data, supporting scalability, and allowing deployment both in the cloud and on-premise, ensuring full control over data and model behaviour.
AI-powered search across corporate documents.
Generation of reports, summaries, and analytical materials.
Support for teams and daily operations.
Tools for automating customer interactions.
Data analysis and decision-making support.
AI-powered search across corporate documents.
Generation of reports, summaries, and analytical materials.
Support for teams and daily operations.
Tools for automating customer interactions.
Data analysis and decision-making support.
Built on top of Dataslab Enterprise DataHub, it provides models with access to high-quality, centralised data for analytics and AI use cases.
Supports growing workloads and allows launching more models and services without impacting performance.
Works both in the cloud and on-premise, depending on security, infrastructure, and policy requirements.
Combines tools for Data Science, MLOps, and AIOps: modelling, training, testing, and production deployment.
Enables work with LLMs, chatbots, intelligent search, document analysis, and AI agents.
Allows the use of modern AI/ML tools within a fully controlled enterprise environment.
Built on top of Dataslab Enterprise DataHub, it provides models with access to high-quality, centralised data for analytics and AI use cases.
Supports growing workloads and allows launching more models and services without impacting performance.
Works both in the cloud and on-premise, depending on security, infrastructure, and policy requirements.
Combines tools for Data Science, MLOps, and AIOps: modelling, training, testing, and production deployment.
Enables work with LLMs, chatbots, intelligent search, document analysis, and AI agents.
Allows the use of modern AI/ML tools within a fully controlled enterprise environment.
Dataslab AI Platform can be delivered in multiple collaboration formats — from short hypothesis validation projects to full-scale deployment of an enterprise AI platform.
- 2–4 weeksтижні
- Focus on 1 use case
- Hypothesis validation on real data
- Basic AI prototype / scenario
- Demo (dashboard or interface)
- 6–10 weeks
- Focus on one or several key use cases
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Business scenario and KPI definition
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Integration with core data sources
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Deployment of basic AI architecture
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Development of production-like models or services
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Testing in real workflows
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Preparation for transition to production.
- 3–6 months
- Full implementation of AI solutions and data platform
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Production infrastructure deployment;
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Integration with key corporate systems;
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Implementation of multiple AI use cases;
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Setup of DataOps / MLOps processes;
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Security, access control, and audit setup;
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Customer team training.
- 6–12+ monthsмісяців
- Strategic company transformation, including the development of a comprehensive data and AI platform
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Target data and AI architecture design;
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Lakehouse or data platform implementation;
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Integration of key business domains;
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Launch of AI use case portfolio;
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Governance, security, and standards implementation;
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In-house architect or support team;
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Knowledge transfer and internal capability development.
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