Listing Thumbnail

    Ceebit: Agentic AI Modernization Accelerator and Development Platform

     Info
    Sold by: Inadev 
    Deployed on AWS
    4X the Speed | 1/3 the Cost Ceebit is an agentic AI platform that integrates cross-functional teams, tools, and workflows into a unified development ecosystem at 4X the speed and 1/3 the cost. By orchestrating product, engineering, platform, and DevSecOps tools with full AI governance, Ceebit automates critical steps in the software lifecycle, from user story generation and code development to testing, deployment, impact analysis and operations and maintenance. The result: faster delivery, lower cost, and greater mission impact. This is why Ceebit is trusted by Federal Agencies and Fortune 500 companies.

    Overview

    Ceebit is an agentic AI platform designed to accelerate enterprise application development on AWS. Rather than simply using AI as an assistant, Ceebit orchestrates intelligent agents that coordinate tasks across development, integration, and operations workflows. The platform dynamically routes work to the most appropriate approach (large language models, machine learning systems, or advanced algorithms) while automatically generating the integration code required to connect services, APIs, and enterprise data sources. This reduces development friction and helps teams move from concept to production faster.

    With a configure-not-code approach, Ceebit provides a visual workflow engine and automated code generation capabilities that enable teams to build and evolve web applications with minimal manual coding. Organizations can standardize development patterns, automate repetitive tasks, and deliver applications more consistently across projects.

    Ceebit also includes an operational intelligence layer that continuously monitors application and infrastructure health. The system detects risks early and can proactively resolve common issues through self-healing behaviors such as dependency updates and performance bottleneck remediation.

    The platform is LLM-agnostic, allowing organizations to switch between large language models based on performance, cost, or governance requirements. This flexibility future-proofs AI adoption while keeping the development and operations experience unified across the enterprise.

    Highlights

    • Agentic AI orchestration that intelligently routes tasks to the optimal compute method (LLMs, machine learning, or algorithms) while automatically generating the integration code required to connect enterprise systems.
    • Configure-not-code development with visual workflows and automated code generation that enables teams to build and evolve web and enterprise applications with significantly less manual coding.
    • Self-healing operations that continuously monitor application and infrastructure health, proactively detecting risks and resolving common issues before they impact users.

    Details

    Sold by

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux AL2023

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    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

    Ceebit: Agentic AI Modernization Accelerator and Development Platform

     Info
    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.

    1-month contract (1)

     Info
    Dimension
    Description
    Cost/month
    Deployment
    One full deployment of Ceebit in the customer's AWS environment, including all infrastructure provisioning and software installation.
    $20,000.00

    Vendor refund policy

    Refunds for software charges may be requested within 7 days of purchase if the product did not perform as described or a technical issue prevented normal usage.

    Refunds are not issued after 7 days, for misconfiguration, or change of mind.

    To request a refund, email support@inadev.com  with your AWS Account ID, product name, purchase date, and issue description. This policy covers software charges only. INADEV reserves the right to update this policy at any time.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    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.

    Version release notes

    v1.1 Highlights: This release adds Amazon Bedrock integration with role-based access control, AWS Marketplace AMI launcher support, and Terraform automation for Layers 0-3.

    New Features: Amazon Bedrock Integration Implemented Bedrock role-based access with Keycloak realm configuration Added Bedrock VPC endpoint for secure, private connectivity Added custom domain support and conditional ingress controller logic Cleaned up sensitive config files; moved to config.example.yaml

    Improvements: Documentation updates Increased deployment sleep time for stability Removed unused artifacts (stack-events.json, config.yaml)

    Release Artifacts Launcher AMI ID ami-06003749bc23ab68b

    Additional details

    Usage instructions

    Follow the steps below to configure and operate the solution after launching the AMI:

    1. Access the Application

    Open your web browser and navigate to: http://<server-public-ip>:5000

    Ensure that the instance security group allows inbound access to port 5000 from your network.

    1. Review Prerequisites

    Before proceeding, go to the Document tab within the application UI and review all prerequisites carefully.

    1. Configuration (Tabs 1 and 2)

    Provide the necessary configuration details:

    AWS Settings: AWS Access Credentials Domain Name DNS Provider Configuration SSL Certificate ARN License: Enter valid CEEBIT license key(s) Advanced Settings (Advanced Tab): SMTP configuration (for notifications) JIRA integration (for issue tracking) GitHub integration (for repository access and workflows)

    After entering all required details, click Save to persist the configuration.

    1. Deployment (Tab 3)

    Initiate and manage infrastructure deployment:

    Select the desired Action: Setup - Deploy infrastructure Teardown - Remove deployed resources Status - Check current deployment status Choose Layers: Deploy All layers (0-4) (default) or select specific layers as needed Optional: Enable "Update existing stacks" if you are redeploying or modifying existing CloudFormation stacks Click Start to begin the operation

    1. Monitoring (Tab 4)

    Track deployment progress and logs:

    View real-time logs streamed via Server-Sent Events (SSE) Download logs for audit or troubleshooting Clear logs from the interface when required

    Notes Ensure IAM permissions are correctly configured before deployment Avoid modifying resources manually outside the tool to prevent configuration drift For troubleshooting, refer to logs and the Document tab guidelines

    Support

    Vendor support

    Email: support@inadev.com  What to expect: Assistance with onboarding, configuration guidance, troubleshooting, and best practices for building and operating applications with Ceebit. Response times and coverage depend on the purchased support tier and agreed support plan.

    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.

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    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.