Case studies

Case studies

Commodities trading with Datatailr

Large-scale, real-time signals for energy desks

~50K tasks in ~10s

Elastic to ~2,000 VMs

~100K jobs in ~10 minutes

Commodities trading with Datatailr

Large-scale, real-time signals for energy desks

~50K tasks in ~10s

Elastic to ~2,000 VMs

~100K jobs in ~10 minutes

Commodities trading with Datatailr

Large-scale, real-time signals for energy desks

~50K tasks in ~10s

Elastic to ~2,000 VMs

~100K jobs in ~10 minutes

Commodities trading with Datatailr

Large-scale, real-time signals for energy desks

~50K tasks in ~10s

Elastic to ~2,000 VMs

~100K jobs in ~10 minutes

Multi-strategy fund

Time-to-market reduced from months to days

Fully separated environments with a single admin

Elastic to ~2,000 VMs

Multi-strategy fund

Time-to-market reduced from months to days

Fully separated environments with a single admin

Elastic to ~2,000 VMs

Multi-strategy fund

Time-to-market reduced from months to days

Fully separated environments with a single admin

Elastic to ~2,000 VMs

Multi-strategy fund

Time-to-market reduced from months to days

Fully separated environments with a single admin

Elastic to ~2,000 VMs

Cloud native analytics and models scaled effortlessly

Runs complex models across many parallel instances in minutes

No DevOps or IT setup required

Works natively with existing Excel and Python workflows while protecting IP

Cloud native analytics and models scaled effortlessly

Runs complex models across many parallel instances in minutes

No DevOps or IT setup required

Works natively with existing Excel and Python workflows while protecting IP

Cloud native analytics and models scaled effortlessly

Runs complex models across many parallel instances in minutes

No DevOps or IT setup required

Works natively with existing Excel and Python workflows while protecting IP

Cloud native analytics and models scaled effortlessly

Runs complex models across many parallel instances in minutes

No DevOps or IT setup required

Works natively with existing Excel and Python workflows while protecting IP

Cloud native risk and pricing models scaled effortlessly

Scaled from 10 to 100+ parallel pricers in one day

Zero DevOps or IT setup required

Excel integration with full IP protection

Cloud native risk and pricing models scaled effortlessly

Scaled from 10 to 100+ parallel pricers in one day

Zero DevOps or IT setup required

Excel integration with full IP protection

Cloud native risk and pricing models scaled effortlessly

Scaled from 10 to 100+ parallel pricers in one day

Zero DevOps or IT setup required

Excel integration with full IP protection

Cloud native risk and pricing models scaled effortlessly

Scaled from 10 to 100+ parallel pricers in one day

Zero DevOps or IT setup required

Excel integration with full IP protection