Sold by: Aible
Deployed on AWS
Provides Aible Flex Credits
4
Overview
Aible and AWS bring generative AI to the enterprise. It makes analytics and data science faster, cheaper, and more insightful. With end-to-end serverless architecture and a unique approach to augmented analytics and data science, the collaboration brings time to results down from months to minutes, offers a 1000x reduction in server costs, and automatically analyzes millions of valuable combinations compared to hundreds that a human analyst can explore.
ChatAible (Generative AI for the Enterprise): ChatAible leverages a well-proven explainable AI to automatically ask millions of questions of the data, finds the key insights, and uses Generative AI to summarize and double-check the key insights in a way a business executive could easily consume.
Major customers like UnitedHealthcare, Cisco, and NYC Health+Hospitals have talked about how they were able to find hidden insights in a matter of minutes using Aible and how their experiences led to the creation of ChatAible. The customer advisory board for ChatAible includes three Fortune 100 companies.
Step 1: ChatAible finds the top insights by asking millions of questions, on your behalf Step 2: Brings enterprise context to the Generative AI, Securely Step 3: Validates and augments the summary from the Generative AI
Aible Sense (Augmented Data Engineering): Aible Sense starts you on the data journey and helps you go from overwhelming data to valuable data. With no upfront effort, Aible Sense completely automates the data engineering and data science tasks to ensure a dataset is of sufficient quality to generate statistically valid insights, high-impact predictive models, and high-value data warehouses.
Aible Explore (Augmented Analytics): Aible Explore enables your team to brainstorm with data. Aible automatically evaluates millions of possible questions that could be asked of your data and highlights key insights. Auto-generated dashboards focus on key areas of interest. Open world exploration reveals new paths for discovery and helps to identify patterns and relationships among variables. With guided data exploration and augmented analytics, Aible Explore helps business users visually understand business drivers, uncover root causes, and identify contextual insights in minutes.
Aible Optimize (Augmented Data science & Machine Learning): Aible Optimize considers your unique benefit of correct predictions and costs of incorrect predictions, as well as business constraints such marketing budget limits that may prevent you from acting upon every AI recommendation. It then shows you exactly how the AI recommendations would impact your business given such business realities. The optimal predictive model is automatically deployed as a serverless (CloudRun) restful endpoint that can be exposed in enterprise systems such as Looker and Salesforce.
Aible Flex Credits: Can now be used for all Aible offerings, and are required for services, training, or usage based pricing. Credits can be purchased on the AWS Marketplace and are good for 12 months from the date of purchase.
Aible Offerings:
Usage Based: Sense (Single Use): 1 credit Explore (Single Use): 9 credits
Licenses: Sense (Single User, 1 year): 30 credits Explore (Single User, 1 year): 150 credits Optimize (Single User, 1 year): 300 credits
Services: Data Readiness Evaluation (Service): 500 credits Statistical Analysis & Business Insights (Service): 1,000
Highlights
- AI that Drives Real Business Impact
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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
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.
Dimension | Description | Cost/month |
|---|---|---|
Getting Started Bundle | Provides 300 Aible Flex Credits | $2,425.50 |
Flex Credits-Small | Provides 1,000 Aible Flex Credits | $7,837.50 |
Flex Credits-Medium | Provides 3,000 Aible Flex Credits | $21,441.67 |
Flex Credits-Large | Provides 6,000 Aible Flex Credits | $42,075.00 |
Dimensions summary
You buy Aible Flex Credits as a prepaid contract. All four options work the same way: you commit upfront and receive a set pool of credits to spend on Aible usage. The options differ only in how many credits you get. The Getting Started Bundle provides the fewest credits, followed by Flex Credits-Small, Flex Credits-Medium, and Flex Credits-Large, which each provide progressively more. Pricing scales with the size of the credit pool you select. You pick the bundle that matches your expected usage rather than paying per user or per hour.
Top-of-mind questions for buyers
Credits form a prepaid pool you draw down as you use Aible. Aible runs in your own cloud account, so credits cover the AI processing you consume there. The exact per-task credit cost is not published in these dimensions. Contact the vendor to confirm how specific agents or analyses draw down credits.
Each bundle gives you a fixed pool: 300, 1,000, 3,000, or 6,000 credits. Once you spend that pool, you would need to purchase more credits to continue. These dimensions do not describe automatic top-ups or overage billing. Contact the vendor to confirm how additional credits are added.
Aible deploys directly in your own AWS account, and your data stays there. Flex Credits pay for Aible usage. Underlying AWS compute, storage, and model costs run in your account separately. Aible states its metadata-based approach limits data warehouse costs by asking many questions at low marginal cost.
www.aible.com
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No refunds allowed
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Delivery details
Software as a Service (SaaS)
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.
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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.
Customer reviews
Kingston Joseph .
Real-World AI That Aligns Models to Financial Goals and Constraints
Reviewed on Jul 15, 2026
Review provided by G2
What do you like best about the product?
What impresses me most about Aible is its relentless focus on real-world constraints. It doesn’t simply deliver the statistically most accurate model; instead, it trains predictive models around my specific financial objectives, resource limitations, and capacity constraints. As a result, the AI recommendations are far more likely to translate into measurable business impact, rather than staying theoretical.
What do you dislike about the product?
The software’s advanced capabilities can create a steep learning curve, and as a new user I found myself wishing for clearer documentation and stronger onboarding resources to help me get up to speed.
What problems is the product solving and how is that benefiting you?
Aible addresses our common issue of enterprise AI projects getting stuck in the lab by automating the path from raw data to deployed, ROI-optimized AI agents. Its serverless automation speeds up data engineering pipelines by removing much of the tedious manual work around infrastructure setup, anomaly detection, and model tuning, helping teams move from experimentation to deployment more smoothly.
Bibhuti Bhusan S.
Powerful, Business-Driven Model Optimization with Rapid Deployment
Reviewed on Jun 18, 2026
Review provided by G2
What do you like best about the product?
What I like most about Aible is its distinctive, business-first approach to automated machine learning (AutoML) and generative AI agent orchestration. Rather than focusing only on abstract statistical metrics like accuracy or F1 scores, Aible trains its predictive models around concrete, real-world operational constraints and clear financial objectives, which makes the results feel more aligned with how the business actually runs.
What do you dislike about the product?
Aible is generally marketed as an "ROI-optimized" auto-ML and agentic AI platform aimed at bridging the gap between data science teams and business stakeholders. Its focus on "business-first" outcomes—such as operational constraints and financial objectives—is often its primary selling point, though this trade-off can sometimes lead to the limitations mentioned above regarding customization and advanced control.
What problems is the product solving and how is that benefiting you?
In many standard enterprise data environments, companies struggle heavily with delayed time-to-value for machine learning initiatives and a massive disconnect between data science models and actual business outcomes. Traditional data science projects often focus on abstract mathematical accuracy, failing to account for real-world operational trade-offs, shifting market conditions, or strict budget constraints.
Aible directly solves this by bridging the gap between raw data and operational execution. It automates the entire machine learning lifecycle—from data cleansing and automated feature engineering to predictive modeling—and fundamentally optimizes those models against specific business variables, such as resource availability, profit margins, and capacity limitations.
Aible directly solves this by bridging the gap between raw data and operational execution. It automates the entire machine learning lifecycle—from data cleansing and automated feature engineering to predictive modeling—and fundamentally optimizes those models against specific business variables, such as resource availability, profit margins, and capacity limitations.
Prem M.
Changes Fast and User Friendly Platform
Reviewed on Jun 18, 2026
Review provided by G2
What do you like best about the product?
The platform helps turn data into examples without require any deep technical expertise. It saves time, supports better decision making, and focus. Easier user friendly, for teams to collaborate and gain value from data.
What do you dislike about the product?
Aible is a useful platform, but new users taking time to learn with this tools. Some advanced features to understand more time to create project and get a output to be delay.
What problems is the product solving and how is that benefiting you?
Aible helps reduce the manual efforts and improve our skills to learn easily. Easier to finish our business job and accurate to the results given. It helps quicker output and zero efforts.
Swaroop W.
Easy-to-Use Platform for Data-Driven Decision Making
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
What I like best about Aible is how quickly it turns raw data into practical, business-focused insights without requiring a heavy data science lift. It makes advanced analytics and AI feel much more accessible for business teams, while still giving enough flexibility to explore use cases that matter. I also appreciate that it is designed around decision support and measurable outcomes, rather than just producing models for the sake of it.
What do you dislike about the product?
The platform is powerful, but some advanced features have a learning curve for new users. Better documentation and onboarding resources could make adoption easier.
What problems is the product solving and how is that benefiting you?
Aible helps bridge the gap between business teams and AI by enabling faster data-driven decision-making. It has helped us identify business opportunities, reduce time spent on analysis, and accelerate the delivery of AI-driven insights without requiring extensive data science expertise.
Rohit V.
Aible ML solution
Reviewed on Aug 19, 2023
Review provided by G2
What do you like best about the product?
Aible platform is designed to be user-friendly, enabling individuals with limited machine learning expertise to create and deploy models.automate many time-consuming and complex processes involved in model development.
What do you dislike about the product?
it has limited customization and has less expertise.it is also costly.
What problems is the product solving and how is that benefiting you?
it solves the problem of analysing bulk data by using ML solutions