Overview
Max.ai is a low-code/no-code platform for generative AI to enable the creation of agents at scale. These agents have a generative AI core and are equipped with either traditional AI or automation capabilities to execute digital tasks in the enterprise.
A few gen AI use cases that Max.ai can enable out of the box are: build your own GPT agent capability and Agent store, Q&A engines, sophisticated data analytics agent, voice of customer, AI content generation agent, L1/L2 rep productivity agent, call center productivity and compliance agent, and an interactive gen AI visualization builder.
Max.ai will enable you to create and deploy generative AI agents on your enterprise technology approved cloud environment quickly and is designed for data science and application developers to build and deploy both generative AI agents and classical AI and machine learning apps at scale. These agents are designed for low-cost rapid deployments that can unlock business value fast.
State-of-the-art agent architecture includes production-grade implementation of LangChain, Advanced RAG, Fine Tuning, QnA Engine, Analytics, Summarization Engine, and Vectorization that can enable sophisticated gen ai agents.
The platform enables you to manage the entire life cycle of generative AI agents from a single place. It provides a modular framework that can manage your entire generative and classical AI development chain, thereby providing your organization the capability to fast-track operationalization.
This single, continuous, and frictionless integration is made possible by out-of-the-box capabilities that allow data integration with 300-plus data sources via streaming, batch or REST capabilities, the ability to build complex AI pipelines, create quality checkers and identify issues and resolve them using a robust observability platform.
Highlights
- Army of Gen.AI Agents via Max.AI
- LLM Agents
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Resources Needed for Max.AI Installer
Max.AI spins EC2 with the installer binary. EC2 is attached to a role that is assumed when deplying Max.AI via the installer binary
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
- Initial Max.AI release
Additional details
Usage instructions
Max.AI Installer usage instructions:
- Launch the product via cloudformation
- Select you preferences in cloudformation window and hit 'Create-Stack'.
- An EC2 instance with the name '<AppPrefix>-Max.AI Installer EC2-<InstanceNo>' is created 3.1 Locate the EC2 instance from the EC2 machine list or click on the EC2 id from the Cloudformation resources tab. Click "connect"
- SSH into the EC2 instance using the "ubuntu" user
- Inside EC2, run command : docker run -it maxai-installer bash
- Inside docker, updated the env.sh file with right parameters, config and run command : source env.sh. env.sh is the Max.AI Platform configuration file.
- Supply deployment key (MAX_ADO_PAT) and notification key (SENDGRID_API_KEY) recieved from the pai.support@zs.com team as environment variables. Run command: export MAX_ADO_PAT="" export SENDGRID_API_KEY=""
- Finally, deploy or delete Max.AI Platform using command ./maxai-deploy create|destroy
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours for the team to respond max_ai@zs.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.