Alli is an all-in-one LLM platform designed for knowledge workers. By combining RAG and a no-code app builder, it maximizes work efficiency by integrating internal documents with LLMs. Users can also develop and deploy AI agents based on the MCP framework.
Alli is an all-in-one LLM platform built for knowledge workers, designed to significantly enhance their productivity.
There are three key reasons why Alli drives better performance:
First, Alli comes equipped with an advanced RAG (Retrieval-Augmented Generation) system. Allganize high-performance RAG technology precisely retrieves only the most relevant content from internal documents, effectively minimizing hallucinations from the LLM and ensuring accurate responses.
Second, Alli allows users to leverage any state-of-the-art LLM available on the market. The platform provides tools for building various LLM applications, and each tool can be connected to the user preferred LLM. As new LLMs are released, there is no need for additional integration, Alli enables seamless access to the latest and most powerful models.
Third, Alli features a no-code app builder. Without any coding, users can easily create customized LLM applications tailored to their needs, such as apps that respond strictly based on specific documents or apps dedicated to tasks like marketing.
Additionally, Alli includes an MCP-based AI Agent Builder. Users can now more easily utilize MCP to develop and deploy AI agents customized for their specific workflows and tasks.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers one pricing option: the basic plan. You subscribe monthly and pay through a credit-based model. Credits meter your usage across the platform, so what you consume each month drives your billing. The plan runs on a contract, and you can track request counts and credit consumption per member from a central dashboard. There are no separate tiers or instance sizes to choose between here — you commit to the single plan and scale by how many credits your team uses.
Top-of-mind questions for buyers
What does one credit represent, and how is credit consumption tracked?
Credits meter your usage of the platform. Each agent request draws down credits as your team runs tasks. Administrators monitor request counts and credit consumption per member from a central dashboard, so you can see which users drive usage.
What happens to my bill if my team's usage grows during the month?
The plan bills on a credit-based monthly subscription, so higher usage draws down more credits. Your cost scales with what your team consumes rather than a fixed seat or instance count. The central dashboard tracks per-member credit consumption so you can watch usage trends.
Does the basic plan cover both SaaS and on-premises deployment?
The platform supports SaaS and on-premises deployment, including air-gapped environments. Deployment specifics for on-premises setups require internal infrastructure discussion with the vendor. Contact the vendor to confirm which deployment your plan covers and what fits your security policy.
www.allganize.ai+1
Helpful?
Vendor refund policy
If you request to terminate the contract, you are responsible for the charges incurred up to the termination date. Billing is based on a monthly cycle, and a specific amount of credits is provided each month. Contract termination must be requested at least 30 days prior to the desired termination date. For the month in which the termination date falls, charges will be prorated based on the number of days used, and the unused portion of the monthly fee will be refunded accordingly.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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.
Glean revolutionizes enterprise productivity through its AI-powered workspace platform. At its core, Glean employs Retrieval-Augmented Generation (RAG) to deliver secure, permission-based access to organizational knowledge. The platform combines a sophisticated enterprise knowledge graph with web-sourced information, enabling contextually rich AI interactions.
Asana offers a Model Context Protocol (MCP) server, accessible via app integration, which allows AI assistants and other applications to access the Asana Work Graph from beyond the Asana platform. This server provides a way to interact with your Asana workspace through various AI platforms and tools that support MCP.
Purple AI Model Context Protocol (MCP) Server provides secure, seamless integration between the Singularity Platform and any AI framework or large language model. Acting as a universal translator and intelligence hub, it empowers developers and partners to build custom agentic AI experiences powered by the full context and analytics of the SentinelOne platform. The open-source Purple AI MCP Server is available today on GitHub and will also be deployable as an EKS and through Amazon Bedrock, using Agent Core. Users will need to have an active deployment of SentinelOne console and be able to obtain the SentinelOne Singularity Console token and url to be able to deploy and use the Purple AI MCP server.
Professional implementation and training consulting services for MaiAgent Enterprise AI Agent platform. We help and assist organizations deploy, and optimize AI-powered customer service or AI-powered knowledge management system solutions on AWS infrastructure with comprehensive support and knowledge transfer using MaiAgent.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.