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All-in-one platform for  Data Analysis and Model Deployment

All-in-one platform for  Data Analysis and Model Deployment

Streamline your analytics and data workflows – manage your entire R&D lifecycle in one unified system for faster insights and time-to-market.

Streamline your analytics and data workflows – manage your entire R&D lifecycle in one unified system for faster insights and time-to-market.

Request demo

Request demo

Request demo

Common Problems

Hurdles to Effective Data Workflows

Hurdles to Effective Data Workflows

Complex infrastructure

Scalability

Security and Governance

Cross Functional Collaboration

Time to Market

Total Cost of Ownership

High Cost

Security Gaps

Slow R&D to Production cycle 

The modern data stack is fragmented, with each process – such as transformation, integration, and analytics – relying on a separate platform.

Connecting these platforms requires manual integration, leading to cost inefficiencies and complexity.   

Complex infrastructure

Scalability

Security and Governance

Cross Functional Collaboration

Time to Market

Total Cost of Ownership

High Cost

Security Gaps

Slow R&D to Production cycle 

The modern data stack is fragmented, with each process – such as transformation, integration, and analytics – relying on a separate platform.

Connecting these platforms requires manual integration, leading to cost inefficiencies and complexity.   

Complex infrastructure

Scalability

Security and Governance

Cross Functional Collaboration

Time to Market

Total Cost of Ownership

High Cost

Security Gaps

Slow R&D to Production cycle 

The modern data stack is fragmented, with each process – such as transformation, integration, and analytics – relying on a separate platform.

Connecting these platforms requires manual integration, leading to cost inefficiencies and complexity.   

Complex infrastructure

Scalability

Security and Governance

Cross Functional Collaboration

Time to Market

Total Cost of Ownership

High Cost

Security Gaps

Slow R&D to Production cycle 

The modern data stack is fragmented, with each process – such as transformation, integration, and analytics – relying on a separate platform.

Connecting these platforms requires manual integration, leading to cost inefficiencies and complexity.   

our solution

Streamline Analytics Development

Streamline Analytics Development

Focus on Insights, not Infrastructure

Focus on Insights, not Infrastructure

Research

Built-in Jupyter Notebooks

Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.

Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.

Spin up any size instance

Single click configuration

Research

Built-in Jupyter Notebooks

Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.

Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.

Spin up any size instance

Single click configuration

Research

Built-in Jupyter Notebooks

Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.

Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.

Spin up any size instance

Single click configuration

Develop

Platform-hosted VS Code – dedicated IDE per user

Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.

Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.

Develop

Platform-hosted VS Code – dedicated IDE per user

Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.

Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.

Develop

Platform-hosted VS Code – dedicated IDE per user

Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.

Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.

Deploy

Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.

Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.

Accelerate time-to-production by reducing IT involvement
to a few simple commands.

Deploy

Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.

Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.

Accelerate time-to-production by reducing IT involvement
to a few simple commands.

Deploy

Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.

Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.

Accelerate time-to-production by reducing IT involvement
to a few simple commands.

Schedule

Unified compute scaling and batch management

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, granular permission control, dynamic autoscaling, and full reproducibility, including data results and code lineage.

Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.

Schedule

Unified compute scaling and batch management

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, granular permission control, dynamic autoscaling, and full reproducibility, including data results and code lineage.

Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.

Schedule

Unified compute scaling and batch management

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, granular permission control, dynamic autoscaling, and full reproducibility, including data results and code lineage.

Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.

Visualize

Connect to any open-source tool or use our custom visualization tool – DT Cube  

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, dynamic autoscaling, and full reproducibility, including data results and code lineage.

Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.

Visualize

Connect to any open-source tool or use our custom visualization tool – DT Cube  

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, dynamic autoscaling, and full reproducibility, including data results and code lineage.

Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.

Visualize

Connect to any open-source tool or use our custom visualization tool – DT Cube  

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, dynamic autoscaling, and full reproducibility, including data results and code lineage.

Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.

Monitor

Integrated monitoring and observability

Scheduler provides reports and visualization on all runs
- logs, configs. This includes: • Gantt view • Graph view • Metrics view (CPU / Mem) • Custom labels (for easier filtering) • Optional reports about runs via email / SMS

Reduce troubleshooting time through real-time visibility
into all processes.

Monitor

Integrated monitoring and observability

Scheduler provides reports and visualization on all runs
- logs, configs. This includes: • Gantt view • Graph view • Metrics view (CPU / Mem) • Custom labels (for easier filtering) • Optional reports about runs via email / SMS

Reduce troubleshooting time through real-time visibility
into all processes.

Monitor

Integrated monitoring and observability

Scheduler provides reports and visualization on all runs
- logs, configs. This includes: • Gantt view • Graph view • Metrics view (CPU / Mem) • Custom labels (for easier filtering) • Optional reports about runs via email / SMS

Reduce troubleshooting time through real-time visibility
into all processes.

Secure

End-to-end encryption and user level segregation

Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.

Current industry solutions require manual setup for environment separation which is time consuming and costly.

Secure

End-to-end encryption and user level segregation

Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.

Current industry solutions require manual setup for environment separation which is time consuming and costly.

Secure

End-to-end encryption and user level segregation

Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.

Current industry solutions require manual setup for environment separation which is time consuming and costly.

Research

Built-in Jupyter Notebooks

Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.

Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.

Spin up any size instance

Single click configuration

Research

Built-in Jupyter Notebooks

Easy to set up, scalable, isolated research environment for each user. Allows your team to experiment, test, and refine models in a secure environment, reducing the risk of unauthorized access or performance slowdowns.

Researchers can experiment, collaborate and iterate faster, cutting down time spent in the research phase.

Spin up any size instance

Single click configuration

Develop

Platform-hosted VS Code – dedicated IDE per user

Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.

Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.

Develop

Platform-hosted VS Code – dedicated IDE per user

Just like our built-in Jupyter Notebooks, each user gets their own isolated development environment (IDE) with a dedicated VS Code instance. Ensures that users can code independently without worrying about resource conflicts, permissions and reusability.

Datatailr provides preconfigured Python environments tailored to your needs, pre-baked with all necessary tools and dependencies. This eliminates manual setup and makes onboarding new staff effortless, with no need to configure their workspace.

Deploy

Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.

Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.

Accelerate time-to-production by reducing IT involvement
to a few simple commands.

Deploy

Seamlessly deploy your services, apps, dashboards or notebooks by adding a single line to your code – for example a Python decorator.

Make existing (or new) Streamlit, Flask, Dash, Panel, Bokeh, and Voila apps deployable using our Scheduler. Move your ideas to production securely with a streamlined process that simplifies deployment and ensures end-to-end encryption.

Accelerate time-to-production by reducing IT involvement
to a few simple commands.

Schedule

Unified compute scaling and batch management

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation.

Each job runs in its own dedicated container with resource control, autoscaling capabilities (for time-sensitive workflows) and offers flexibility for running jobs (Schedule based, event based or manual). 

Schedule

Unified compute scaling and batch management

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation.

Each job runs in its own dedicated container with resource control, autoscaling capabilities (for time-sensitive workflows) and offers flexibility for running jobs (Schedule based, event based or manual). 

Visualize

Connect to any open-source tool or use our custom visualization tool – DT Cube  

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, dynamic autoscaling, and full reproducibility, including data results and code lineage.

Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.

Visualize

Connect to any open-source tool or use our custom visualization tool – DT Cube  

Batch job scheduling and DAG (Directed Acyclic Graph) definition for workflow automation. Each job runs in a dedicated container with resource control, dynamic autoscaling, and full reproducibility, including data results and code lineage.

Trigger jobs on a schedule, event, or manually, with the ability to scale from zero to tens of thousands of containers within minutes.

Monitor

Integrated monitoring and observability

Scheduler provides reports and visualization on all runs
- logs, configs. This includes: Gantt view Graph view Metrics view (CPU / Mem) Custom labels (for easier filtering) Optional reports about runs via email / SMS

Reduce troubleshooting time through real-time visibility
into all processes.

Monitor

Integrated monitoring and observability

Scheduler provides reports and visualization on all runs
- logs, configs. This includes: Gantt view Graph view Metrics view (CPU / Mem) Custom labels (for easier filtering) Optional reports about runs via email / SMS

Reduce troubleshooting time through real-time visibility
into all processes.

Secure

End-to-end encryption and user level segregation

Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.

Current industry solutions require manual setup for environment separation which is time consuming and costly.

Secure

End-to-end encryption and user level segregation

Datatailr offers built-in separation between dev, pre and prod environments, with an approval system to smoothly transition through each stage. It ensures that different groups cannot see each other's work, with granular access control at both the group and user level, allowing you to control what each user can view.

Current industry solutions require manual setup for environment separation which is time consuming and costly.

Ready to transform your analytics process

Ready to transform your analytics process

Ready to transform your analytics process

Request Demo

Request Demo

Request Demo

Request Demo

THE choice

See why users choose datatailr

See why users choose datatailr

Scales automatically

Scales automatically

Unlimited tooling

Unlimited tooling

Predictable costs

Predictable costs

Automatic Environment Separation

Automatic Environment Separation

Granular User level Control

Granular User level Control

Excel Add-in

Excel Add-in

No Vendor Lock-in

No Vendor Lock-in

No data migration needed

No data migration needed

success stories

All-in-one Analytics System

All-in-one Analytics System

20+ years of industry expertise

Meet the Team

Meet the Team

Our team brings decades of experience as Senior Technologists and Managing Directors at top financial institutions, including Goldman Sachs, JPMorgan, Bank of America, HSBC, and Barclays.

Our team brings decades of experience as Senior Technologists and Managing Directors at top financial institutions, including Goldman Sachs, JPMorgan, Bank of America, HSBC, and Barclays.

With over 20 years of innovation in commercial scientific computing, we've taken the best lessons learned and built a data analytics and model development platform designed for compute-heavy enterprises.

With over 20 years of innovation in commercial scientific computing, we've taken the best lessons learned and built a data analytics and model development platform designed for compute-heavy enterprises.

contact us

Ready To Boost Your Analytics?

Ready To Boost Your Analytics?

Request demo

Request demo

Request demo