Capitol is a comprehensive Platform-as-a-Service (PaaS) API and Software-as-a-Service (SaaS) solution that enables organizations to build and deploy customized generative AI pipelines. It allows customers to configure these pipelines to meet specific quality, safety, performance, and cost requirements. The platform is designed to help businesses achieve their objectives by providing flexible, enterprise-grade generative AI capabilities that can be tailored to their unique needs.
Capitol is a comprehensive Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) solution designed for organizations seeking to harness the power of generative AI. The platform provides a robust infrastructure that enables customers to configure and deploy sophisticated generative pipelines tailored to their specific business requirements. By offering both API access and intuitive interfaces, Capitol empowers technical and non-technical users alike to leverage cutting-edge AI technology within their existing workflows.
At its core, Capitol focuses on meeting the critical enterprise standards that matter most: quality, safety, performance, and cost-effectiveness. The platform incorporates advanced retrieval-augmented generation (RAG) capabilities, ensuring outputs are factually accurate and verifiable through comprehensive citation mechanisms. This attention to quality control makes Capitol particularly valuable for industries where precision and reliability are non-negotiable, such as finance, healthcare, legal services, and media production.
Capitol's flexible architecture allows customers to align generative AI capabilities directly with their business objectives. Organizations can customize output parameters, implement specific safety guardrails, optimize for performance metrics, and control computational costs through intelligent resource allocation. This customization extends to integration capabilities, with Capitol seamlessly connecting to existing enterprise systems through its comprehensive API/SDK solutions. The result is a generative AI platform that adapts to business needs rather than forcing businesses to adapt to technology limitations.
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a contract pricing model with one dimension: Base Orchestration, billed by units through the orchestration API. You buy a set quantity of orchestration units under a negotiated contract term. Pricing scales with how many units you commit to, so your cost tracks the volume of orchestration work you run. There are no separate tiers or instance sizes here — this is a single usage-based unit that you configure to your expected workflow needs. Fees are typically invoiced annually in advance under an order form.
Top-of-mind questions for buyers
What does one Base Orchestration unit represent, and what work consumes it?
A unit meters orchestration work run through the API. Each workflow step that retrieves data, calls a model, runs a tool, or produces an output draws on your orchestration capacity. So a workflow with many steps, model calls, and tool runs consumes more units than a simple one.
Does routing steps to different models change how many orchestration units I use?
Orchestration units meter the workflow steps the platform runs, not the model provider you pick. You route each step to a chosen model to balance cost, speed, and quality. Adding more steps, retrievals, or tool calls raises unit consumption. Switching model providers on existing steps does not by itself add units.
What is not covered by the orchestration units, such as setup or extra support help?
Units cover orchestration API usage only. Implementation help beyond an agreed estimate, and support beyond the standard policy, are billed separately at standard hourly rates. Exporting your data after termination is also billable. Underlying third-party model provider costs sit outside these units and depend on the models you route to.
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Vendor refund policy
All payments to Capitol Inc. for our PaaS/SaaS solutions are NON-REFUNDABLE upon activation.
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Capitol AI's AI Consulting Services helps enterprises and government agencies move from AI experimentation to operational impact. We assess your data, workflows, and mission requirements to design and deploy model-agnostic AI systems that actually work inside your existing infrastructure, security posture, and procurement constraints. On AWS, that means architecting on Amazon Bedrock for foundation model access and agent orchestration, Bedrock Knowledge Bases for retrieval-augmented workflows grounded in your own data, Bedrock Guardrails for content filtering and PII protection, SageMaker for custom model training and fine-tuning, and governed data pipelines built on Glue, Step Functions, and Lambda, all integrated with the identity, encryption, and compliance controls you already run through IAM, KMS, and CloudTrail. The result: durable AI capabilities your teams use daily, to deliver impact.
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