Build Locally.
Deploy Everywhere.

Deploy your ML model in seconds.
If this feels too easy, that’s the point.

Status All Systems Operational
MLOPS.
EASY.
V.1.12 New auth configuration to handle permission groups
V.1.12 Improved logging for production workloads
V.1.11 Faster cold-starts for edge deployments
V.1.12 New auth configuration to handle permission groups
V.1.12 Improved logging for production workloads
V.1.11 Faster cold-starts for edge deployments
V.1.12 New auth configuration to handle permission groups
V.1.12 Improved logging for production workloads
V.1.11 Faster cold-starts for edge deployments

Works with your stack

Deploy ML models, with seamless configuration. From research to production, Brokyl works with favorite stack.

PyTorch PyTorch
scikit-learn scikit-learn
XGBoost XGBoost
TensorFlow TensorFlow

Faster Iteration

From local development to production, deploy in minutes not days.

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Auto-Scaling

Scale your deployment to meet demand with no configuration required.

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Seamless Config

Connect your development environment and deploy with a simple command.

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Transparent Pricing

Predictable, clear pricing model. Start for free.

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99.99% Uptime

Reliable infrastructure when it matters. Includes automatic failover.

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Developer-First

Designed for developers, simplified with native tooling and seamless integrations.

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Edge Deployment

Deploy to local environments and better performance.

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Secure by Default

Built-in encryption and access controls to keep your models safe.

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ONE COMMAND

Deploy in one simple command.

Brokyl automatically handles environment provisioning, dependency installation, and more. All you need to do is run the brokyl deploy command and your model is live.

  • Zero configuration required
  • Automatic environment detection
  • Runs on any cloud, private cloud, or device
brokyl-cli — bash
pip install brokyl-cli
Installing dependencies... Done (1.2s)
brokyl-deploy
→ Detecting environment... Python 3.9, PyTorch 2.0
→ Packaging model artifacts... Done
→ Provisioning inference endpoint...
Deployment Successful!
https://api.brokyl.com/v1/inference/m-9281
Version History

v3.4.4.1-hot-fix

LIVE

4 hours ago • by @sarah_dev

Fixed tensor shape mismatch in input layer

v3.4.3-fix-bug

2 days ago • by @mike_ml

v3.3.4.1-off-again

STABLE

2 days ago • by @sarah_dev

VERSION CONTROL

Roll back in seconds.

Manage your model lifecycle with confidence. Deploy new versions, test changes, and rollback instantly when needed without interrupting live traffic.

Version Management

Track and manage all deployment history with full audit logs.

Instant Fallback

One-click revert to any previous version in milliseconds.

Zero Downtime

Seamless version transitions with traffic shifting.

A/B testing

Rollout multiple versions at once and test new configurations.

Observability Built-In

Don't fly blind. Monitor your model drift, latency distributions, and error rates in real-time.

Log Replay
A/B Testing
Shadow Deploys
Live Instances
FraudDetection_XGB
m-1042
active
ChurnPred_LogReg
m-2091
deploying
Pricing_Elasticity_RF
m-3321
stopped

Start Deploying Today

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Deploy models to production in seconds, not weeks.
Built for developers who want to focus on models, not infra.

Made with ☕ and ❤️ in Edinburgh & BCN

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