Deploy. Scale.
Manage. MLOps.
Syndicai Enterprise is on the mission to accelerate AI backend and devops teams through data security, infrastructure management and models monitoring.
Stack
Under the hood
Syndicai is API with a beautiful frontend that gives your team low entrance barrier. Simply authorize your team via SSO and get access to extensive facilities of our service. However, the heart of the platform consists of three components - Builder, Executor and Monitor.
Builder
Engine responsible for model wrapping. You can take any model written in python code and package it using syndicai, seldon or cortex wrapper.
Executor
Model deployment service responsible for deploying your model on top of Kubernetes in any cloud or on-premise.
Monitor
The strength of Syndicai is the usage of the Cloud Native technologies. Only Prove and tested solutions such as Prometheus and ElasticSearch support your model in the reliability field.
15min
~ Support resp. time
103
Deployed models
99.99%
Server uptime
Service
Extract business values
Syndicai Enterprise is the fastest platform for AI model deployments, able to handle enormous amounts of computer vision, NLP and reinforcement learning models. Start by deploying with zero configuration to our global infrastructure. Scale dynamically to millions of models without breaking a sweat.
Automated Deployments
Reduce the time needed to deploy AI into production with automated model builds and deployments using the Gitops paradigm.
Model Monitoring
Monitor models in production environment with our dashboards to improve performance and rapidly communicate errors for easy debugging.
Data Security
Fully integrated enterprise environment. Platform deployed on any cloud or on-prem.
Premium Support
Contact our support team 24/7 via email or Slack. During intense and demanding projects get dedicated customer success manager.
Stack Stability
Backwards compatibility, rolling updates and full SLA alongside maintained integrations with all frameworks and clouds means a seamless install and reliable infrastructure.
Global infrastructure
Control cluster regions and traffic in order to decrease latency and increase input data throughput.
