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
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux AL2023
Deployed on AWS
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Introducing multi-product solutions
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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 |
|---|---|---|
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.
Legal
Vendor terms and conditions
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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.
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
Version 1.2.0
New Features: Terraform DevOps - Full Implementation
- Terraform all layers code implementation Centralized Helm Chart Repository
- Consolidated all Helm charts from CloudFormation-specific and Terraform-specific locations into a single shared /helm/ directory
- Eliminated chart drift between IaC paths
Upgrades:
- OTel Operator upgraded to 0.136.0 with new CRDs
- OTel Collector upgraded
- Tempo upgraded to chart version 1.24.4 / app version 2.9.0 with metricsGenerator support, ingress, network policies, and ServiceMonitor
- Added Promtail chart (v6.16.6, app version 3.0.0) for log aggregation to Loki
- Added x509-certificate-exporter (v3.8.0) for TLS certificate expiration monitoring with bundled Grafana dashboard
- External DNS upgraded to 0.21.0
Improvements: Security Hardening
- ArgoCD OIDC client secret passed via secretKeyRef instead of literal interpolation (NIST SC-28)
- Keycloak OIDC secrets passed via provisioner environment block to prevent plan/log exposure
- Grafana auto-generates random_password with Secrets Manager storage
- ArgoCD ConfigMap + Secret merged into single Secret for secure credential serving (NIST SC-12)
Install/Upgrade Notes:
- Helm charts have moved from cloudformation/helm/ and terraform/*/helm/ to the shared /helm/ directory. Update any custom references.
- OTel Operator CRDs have been significantly expanded (new crd-2.yaml, crd-3.yaml). Apply CRDs before upgrading the operator.
- Tempo upgrade to 2.9.0 includes new template resources (ingress, network policies). Review helm/tempo/values.yaml for new configuration options.
- Teardown now enforces top-down ordering. Manual --layer teardown of a dependency layer will show warnings.
- Config file format accepts both CF and TF key styles; existing config.yaml files are backward-compatible.
Additional details
Usage instructions
Follow the steps below to configure and operate the solution after launching the AMI:
- 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.
- Review Prerequisites
Before proceeding, go to the Document tab within the application UI and review all prerequisites carefully.
- 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.
- 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
- 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.
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