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    Cortex Certifai

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    Free Trial
    Gain visibility and control over automated decisions by automatically detecting and scoring model vulnerabilities including performance, data drift, bias, explainability, and robustness.

    Overview

    Trust is the foundation of digital systems. Without trust, AI cannot deliver on its potential value. However, machine learning models often function inside black-boxes. This has resulted in significant business risks that hampers Enterprise AI adoption. Cortex Certifai detects and scores 6 dimensions of AI business risk: bias/fairness, explainability, robustness, compliance, and data drift.

    Certifai takes the guesswork out of understanding risk and vulnerability in ML models by automatically probing the model and testing edge cases. Certifai does not need access to the model's internal code to evaluate it. Cortex Certifai will ensure your AI systems are:

    • Robust and cannot be fooled
    • Fair and unbiased toward protected groups
    • Explainable through clear rationale of AI predictions

    Certifai helps key stakeholders engage in building trusted AI with unique reporting for:

    • Data science teams
    • IT experts
    • Product and marketing executives
    • Customers and employees
    • Compliance and risk executives

    Highlights

    • Certifai generates a numeric score based on key elements of trust. It helps businesses assess the tradeoffs and typical contention between risk and performance. Stakeholders can drill into each evaluation to identify potential improvements. Certifai considers AI risks such as: fairness/bias, robustness, explainability, and key performance metrics like accuracy, precision, or recall.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 18.4

    Typical total price

    This estimate is based on use of the seller's recommended configuration (m4.xlarge) in the US East (N. Virginia) Region. View pricing details

    $1.73/hour

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product at no cost for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    Cortex Certifai

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (60)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    m4.xlarge
    Recommended
    $1.53
    $0.20
    $1.73
    m4.2xlarge
    $2.38
    $0.40
    $2.78
    m4.4xlarge
    $3.38
    $0.80
    $4.18
    m4.10xlarge
    $3.38
    $2.00
    $5.38
    m4.16xlarge
    $3.38
    $3.20
    $6.58
    m5.xlarge
    $1.53
    $0.192
    $1.722
    m5.2xlarge
    $2.38
    $0.384
    $2.764
    m5.4xlarge
    $3.38
    $0.768
    $4.148
    m5.8xlarge
    $3.38
    $1.536
    $4.916
    m5.12xlarge
    $3.38
    $2.304
    $5.684

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    no refund

    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.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Additional details

    Usage instructions

    Install Instruction from Marketplace https://cognitivescale.github.io/cortex-certifai/docs/platforms/aws/aws-setup/ 

    Verify that the security group attached to the instance has inbound rules for these ports: 80, 443 and 16443

    After the VM is created please wait for 5 min for Cortex Certifai to initialize.

    Enter https://{Public IP address} into a browser window to open the Certifai Console login page.

    Support

    Vendor support

    email support, premium support for long term plans aws-marketplace-support@cognitivescale.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.

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    Customer reviews

    Ratings and reviews

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    5 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Jonathan S.

    Cortex Certifai is an excellent product and I recommend it

    Reviewed on Oct 15, 2021
    Review provided by G2
    What do you like best about the product?
    The user interface is extremely streamlined.
    What do you dislike about the product?
    It is sometimes difficult to install updates.
    What problems is the product solving and how is that benefiting you?
    I work on a variety of medical analytics using machine learning and this software helps me with my solutions.
    Recommendations to others considering the product:
    This is a great product and I recommend it to all. But I hope the issues with updates is fixed soon.
    Wesley R.

    Great experience

    Reviewed on Jul 21, 2020
    Review provided by G2
    What do you like best about the product?
    I liked the simplified instructions and the knowledge of the product and use cases during the demo was great
    What do you dislike about the product?
    I think there are other features I would like to see like how does it handle time series data projects and api integrations with google cloud and things like iot fleets
    What problems is the product solving and how is that benefiting you?
    I was demoing it and really enjoyed it
    Recommendations to others considering the product:
    Get a demo and ask lots of questions of presenter/rep
    Bolaji B.

    It was really good!

    Reviewed on Jul 15, 2020
    Review provided by G2
    What do you like best about the product?
    I loved that I could use it easily on projects. It saved me a lot of energy, time and effort.
    What do you dislike about the product?
    i had so issues with the setup. Not so beginner friendly
    What problems is the product solving and how is that benefiting you?
    Python projects basically. Working on detecting rumors on social media. Its been going well so far.
    Recommendations to others considering the product:
    Take your time to understand it. It helps a lot
    Telecommunications

    AI Data Science

    Reviewed on Mar 31, 2020
    Review provided by G2
    What do you like best about the product?
    I liked it as AI can be used in daily life and can solve business problems for financial, healthcare and digital commerce markets.
    What do you dislike about the product?
    I haven't found anything that i won't like.
    What problems is the product solving and how is that benefiting you?
    Recently I heard regarding this software. I would like to use in future.
    Telecommunications

    I'm playing data scientist role and Deep learning engineer.

    Reviewed on Mar 12, 2020
    Review provided by G2
    What do you like best about the product?
    As per data analysis looking normal way compare to all comparative tools.
    What do you dislike about the product?
    Need to develop ML part and writing custome script side
    What problems is the product solving and how is that benefiting you?
    No issue I have seen. Need to provide some deep learning integration API's like H2o.AI
    View all reviews