SolidCore is the system of record for enterprise generative AI applications on AWS. It captures every prompt, response, model parameter, guardrail, data being accessed and other metadata from production LLM interactions to deliver complete visibility, governance, and auditability. <br><br>With real-time detection of misconfigurations, policy violations, and risky usage patterns, SolidCore helps teams identify blind spots across models, apps, and environments. Built for regulated industries, it automates evidence collection, supports compliance frameworks like NiST AI RMF, and provides a trustworthy foundation for safely scaling AI across the enterprise.
SolidCore is the system of record for enterprise generative AI applications on AWS, purpose-built to give organizations full visibility, control, and governance over how large language models are used across their business.
As companies accelerate AI adoption, they face growing regulatory pressure, unclear internal usage patterns, and a lack of centralized oversight. SolidCore solves this by capturing and storing every production LLM interaction-prompts, responses, model parameters, guardrails, data being accessed and other metadata-creating a complete, queryable audit trail of AI activity.
With this foundation in place, SolidCore enables enterprises to govern AI with confidence. The platform continuously monitors usage across teams, applications, and environments to detect misconfigurations, policy violations, unauthorized model usage, and anomalous behavior. Real-time alerts and automated workflows help teams rapidly investigate issues, enforce internal policies, and maintain guardrails without slowing down development velocity.
Compliance and audit readiness are built into the core of the product. SolidCore automatically generates the evidence required for regulatory frameworks such as NIST AI RMF, and emerging AI risk standards. By providing immutable logs, reproducible inference records, and fine-grained access controls, SolidCore reduces the burden on engineering, legal, and security teams while strengthening an organization's overall AI governance posture.
Designed for real-world production environments, SolidCore integrates cleanly with modern cloud infrastructure, including AWS. It works with any model in AWS Bedrock or Sagemaker. Developers get a lightweight integration that doesn't impact performance, while security and compliance teams gain a centralized source of truth that was previously impossible to achieve.
SolidCore leverages APIs to gather the data (no agents or proxies that can cause downtime or latency). The product is deployed via container application in the customer cloud VPC, so customer data stays in the customer's control. As a result, companies can innovate with generative AI as confidently as they build in the cloud, with systems that are observable, governable, and secure by design.
For organizations operating in regulated industries or those scaling AI across mission-critical workflows, SolidCore provides the trust layer they need to adopt generative AI responsibly. It brings clarity to complex systems, reduces operational and regulatory risk, and equips teams with the visibility required to innovate with confidence.
Highlights
SolidCore captures and stores prompts, responses, configuration data, and metadata from every GenAI interaction, creating a detailed, queryable audit trail. This gives organizations full transparency into how AI is being used across teams, tools, and environments.
SolidCore automatically detects misconfigurations, improper access, and risky patterns in real time, surfacing actionable issues and triggering resolution workflows. This enables teams to respond faster and reduce exposure.
SolidCore helps teams demonstrate alignment with evolving frameworks, such as NIST AI RMF, by continuously monitoring for compliance and generating audit-ready evidence. No spreadsheets, no fire drills.
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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 contract-based listing has two pricing dimensions. The Starter Pack gives you a fixed entry bundle to begin monitoring your generative AI activity. The tokencharge dimension bills by consumption, scaling with the number of tokens processed across your AI interactions. As your usage grows, your token-based charges rise in proportion. You can combine both dimensions: the Starter Pack sets your baseline, while tokencharge covers ongoing usage-based volume. This structure lets your costs track actual AI activity rather than a single flat rate.
Top-of-mind questions for buyers
What counts as a token for the tokencharge dimension?
A token is a unit of text processed during a generative AI interaction. SolidCore captures prompts and responses at the API layer, then meters the tokens flowing through each interaction. Your charge scales with the volume of tokens processed across monitored AI activity.
How do the Starter Pack and tokencharge dimensions combine on my bill?
The Starter Pack sets a fixed baseline bundle to begin monitoring. The tokencharge dimension bills separately based on token consumption. Both charges apply together on the same invoice. The Starter Pack does not vary with usage, while tokencharge rises as your monitored token volume grows.
What happens to my token charges if AI usage grows across teams?
Token charges rise in proportion to the tokens processed. SolidCore monitors every production inference interaction across your AWS accounts. As more teams generate prompts and responses, more tokens flow through, so your tokencharge increases with actual activity rather than staying flat.
www.solidcore.ai
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