Brokyl provides a developer‑first platform that lets machine learning engineers deploy models with a single command, automatically handling environment provisioning, dependency installation, and endpoint creation on any cloud, private cloud, or edge device. It includes zero‑configuration auto‑scaling, built‑in version control with instant rollbacks and A/B testing, and real‑time monitoring of latency, errors, and model drift, all backed by 99.99% uptime and secure, transparent pricing.
Funding
Funding not disclosed
Founders
Product
Problem
Deploying machine learning models to production often requires extensive environment setup, manual dependency management, and complex scaling configurations, leading to long release cycles and operational overhead. Teams also face challenges in versioning, monitoring model performance, and ensuring reliable uptime without deep infrastructure expertise.
Solution
Brokyl offers a developer‑first platform that automates the entire model deployment workflow with a single command. The service detects the model’s environment, provisions the necessary infrastructure, installs dependencies, and launches a secure endpoint on any cloud, private cloud, or edge device. Built‑in auto‑scaling adjusts resources to match demand without additional configuration, while version control features enable instant rollbacks, traffic shifting, and A/B testing. Real‑time monitoring provides visibility into latency, error rates, and model drift, and the platform guarantees 99.99% uptime with automatic failover. Pricing is transparent and tier‑based, allowing users to start for free and scale as their needs grow.
Target Audience
Primary customers are machine learning engineers, data scientists, and DevOps teams in startups to large enterprises that need to serve predictive models quickly and reliably, as well as developers building AI‑powered applications.
Features
- One‑command deployment that handles environment provisioning, dependency installation, and endpoint creation
- Automatic scaling with zero‑configuration to meet traffic spikes
- Multi‑cloud and edge support, including BYOC for AWS, GCP, and Azure in Enterprise plans
- Full version management with audit logs, instant rollback, zero‑downtime traffic shifting, and A/B testing
- Real‑time monitoring of model latency, error rates, and drift with log replay capabilities
- Secure by default: AES‑256 at rest, TLS 1.3 in transit, SOC 2 Type II compliance
- Transparent tiered pricing with free starter tier and unlimited models in Enterprise