Multi-tenant • Your cloud • No data migration
Focus on your strategy, not
the infrastructure behind it
Access your data from scattered sources, build models, run massive backtests, and deploy signals directly inside your own cloud.
No data movement - just faster research, deployment, and enterprise-grade control.
Multi-tenant • Your cloud • No data migration
Focus on your strategy, not
the infrastructure behind it
Access your data from scattered sources, build models, run massive backtests, and deploy signals directly inside your own cloud.
No data movement - just faster research, deployment, and enterprise-grade control.
Multi-tenant • Your cloud • No data migration
Focus on your strategy, not
the infrastructure behind it
Access your data from scattered sources, build models, run massive backtests, and deploy signals directly inside your own cloud.
No data movement - just faster research, deployment, and enterprise-grade control.
Why hedge funds choose Datatailr
Why hedge funds choose Datatailr
Go live fast
Go live fast
Deployment and testing usually take several days. One case study onboarded in under a month
Elastic at market speed
Elastic at market speed
Burst to thousands of VMs. Run about 50K jobs with around 10 seconds start spread and scale to about 100K jobs in roughly 10 minutes
Self service for quants and analysts
Self service for quants and analysts
One click deploy, SDLC, and an Excel add in that exposes Python as native functions
Predictable TCO
Predictable TCO
License based platform. Compute is billed by your cloud with no platform markup
Built for your team
One platform based
on 4 pillars
Datatailr unifies the building blocks of modern analytics in a secure BYOC platform
Datatailr unifies the building blocks of modern analytics in a secure BYOC platform
Portfolio Manager
Portfolio Manager
Launch new strategies quickly while keeping costs governable and auditable
Launch new strategies quickly while keeping costs governable and auditable
Head of Quant Research
Head of Quant Research
Research, test, and deploy in one governed workspace with fewer handoffs
Python and Jupyter for research. Deploy apps and services in minutes.
Python and Jupyter for research. Deploy apps and services in minutes.
CTO / Head of IT
CTO / Head of IT
SSO with optional MFA, RBAC, approvals from Dev to Pre to Prod, audit trails, and outbound egress control
Code or no-code DAGs with built-in versioning and one-click rollback.
No YAML.
Code or no-code DAGs with built-in versioning and one-click rollback. No YAML.
Quants & Analysts
Quants & Analysts
Focus on research and alpha, not infrastructure. Connect data, code in familiar tools like Jupyter/VS Code, backtest and analyse results in Excel – without developer queues.
Unified SQL that queries Snowflake, S3, Postgres and 40+ more databases where the data already lives. No migration.
Focus on research and alpha, not infrastructure. Connect data, code in familiar tools like Jupyter/VS Code, backtest and analyse results in Excel – without developer queues.
What you can ship
What you can ship
Real time signals for energy and commodities desks at massive scale, including about 50K parallel jobs and bursts to roughly 2,000 VMs
Periodic batch jobs run by quants themselves, reducing reliance on infra core engineering
Excel driven analytics backed by governed services and caching
Security
and Compliance
Security
and Compliance
Runs in your cloud in a single tenant deployment. SSO with optional MFA. Granular RBAC. Encryption in transit. IP allowlists and outbound firewall. Full audit logs.
Runs in your cloud in a single tenant deployment. SSO with optional MFA. Granular RBAC. Encryption in transit. IP allowlists and outbound firewall. Full audit logs.
Proof from Real Funds
Use cases
and outcomes
Energy trading
Energy trading
about 50K jobs in parallel
first to last job start around 10 seconds
burst to roughly 2,000 VMs
about 100K jobs in around 10 minutes
Data provider and commodities
Data provider and commodities
100 to 200 batch jobs per day
onboarding in under a month
a proper SDLC
Challenges and what solves them
Use cases
and outcomes
Time to Market
Vendor lock-in
Cost management
Secure environments
Rapid Data Access
Accelerate research
Elastic scale
Reproducibility
Auditability
The Challenge
New hedge funds and trading teams often spend months building core infrastructure before they can work on strategies. This approach is capital-intensive, requires expertise and diverts focus away from alpha generation.
The Solution
Datatailr provides the full research-to-production infrastructure from day 1. Teams can start developing, testing, and deploying strategies immediately, without building or maintaining anything, turning infrastructure from a long-term CAPEX investment into a simple OPEX model.
Business Value
Funds move from launch to live strategies in hours instead of months. Faster time to market, lower upfront risk, and predictable operating costs allow teams to focus alpha rather than infrastructure.
Time to Market
Vendor lock-in
Cost management
Secure environments
Rapid Data Access
Accelerate research
Elastic scale
Reproducibility
Auditability
The Challenge
New hedge funds and trading teams often spend months building core infrastructure before they can work on strategies. This approach is capital-intensive, requires expertise and diverts focus away from alpha generation.
The Solution
Datatailr provides the full research-to-production infrastructure from day 1. Teams can start developing, testing, and deploying strategies immediately, without building or maintaining anything, turning infrastructure from a long-term CAPEX investment into a simple OPEX model.
Business Value
Funds move from launch to live strategies in hours instead of months. Faster time to market, lower upfront risk, and predictable operating costs allow teams to focus alpha rather than infrastructure.
Use cases and outcomes
Use cases
and outcomes
Speed, control, and compliance proven in production
Speed, control, and compliance proven in production
Quant Hedge Funds
Turn Python notebooks into live trades in days. Elastic Dev, Pre, Prod scales from single backtests to thousands of orders with audit trails.
Quant Hedge Funds
Turn Python notebooks into live trades in days. Elastic Dev, Pre, Prod scales from single backtests to thousands of orders with audit trails.
Large asset managers
Large asset managers
Launch new macro, crypto, or commodities desks without legacy bottlenecks. Quants deploy independently while IT keeps unified access control, lineage, and cost governance.
Launch new macro, crypto, or commodities desks without legacy bottlenecks. Quants deploy independently while IT keeps unified access control, lineage, and cost governance.
Energy and commodities
Run real-time demand and price simulations across thousands of machines, then spin down in minutes. ~50K jobs in ~10s, burst to ~2,000 VMs when needed.
Energy and commodities
Run real-time demand and price simulations across thousands of machines, then spin down in minutes. ~50K jobs in ~10s, burst to ~2,000 VMs when needed.
EV fleet management
EV fleet management
Operate 100–200+ daily batch jobs with a proper SDLC and fast onboarding. Reproducible results and dashboards with minimal headcount.
Operate 100–200+ daily batch jobs with a proper SDLC and fast onboarding. Reproducible results and dashboards with minimal headcount.
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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© 2025 Datatailr, Inc. All rights reserved. New York, NY, USA.
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© 2025 Datatailr, Inc. All rights reserved. New York, NY, USA.