Clarifeye is an AI-assisted platform that lets enterprises map, test, and operationalize expert reasoning and business processes, turning them into reusable logic that any AI can understand and follow as guardrails for its decisions. Instead of training generic models or wiring brittle RAG stacks, experts simply describe how they work in plain English. Clarifeye’s conversational interface, Clara, captures their reasoning, decisions, and workflows, then automatically converts them into a structured Reasoning Graph Package. This package becomes the single source of truth for how your organization thinks and operates on domain specific topics, providing guardrails that any model or agent can follow through MCP or API. Clarifeye transforms AI from “suggestive” to governed and auditable, ensuring every assistant or copilot operates within your defined processes and compliance boundaries.
Key Capabilities
AI-Assisted Business Process Mapping: Capture how your experts and teams make decisions, step by step, in natural language.
Governed Feedback Loop: Centralize expert review to audit reasoning and refine logic continuously.
Automatic Knowledge Structuring: Clarifeye encodes your mapped processes into a reasoning graph that models and agents can query and follow.
Guardrailed by Design: Use secure APIs or MCP connectors to make any AI adhere to your mapped business logic and decision policies.
Continuous Improvement Loops: Experts can review, test, and refine reasoning directly without having to retrain or re-index.
Enterprise-Grade Compliance: Traceable, version-controlled reasoning with SOC 2-compliant deployment options in SaaS, dedicated VPC.
Most companies begin their AI journey with engineers fine-tuning models and writing prompts. Clarifeye flips that order: experts lead, AI follows. Expert-led reasoning and process definition become the foundation of your AI infrastructure.
With Clarifeye, enterprises can:
Map business processes in plain English
Test them on edge cases
Structure data and search strategies around them
Enforce them across all AI systems
The result is a continuously learning enterprise reasoning layer that scales domain intelligence, ensures compliance, and brings consistency and reliability across every AI-assisted workflow.
Ideal For:
Enterprises building domain-specific or compliance-sensitive AI agents
Legal, financial, and operational teams seeking explainable AI governance
AI platform and data teams structuring domain reasoning for multiple models
Organizations needing enforceable AI workflows and traceable decision logic
Highlights
AI-assisted business process mapping: capture your workflows in plain English and make them executable by AI.
From reasoning capture to enforcement: structure, test, and deploy expert logic that any AI can follow via MCP or API.
Flips the build vs. buy model: expert-led, reasoning-first agent creation for enterprise reliability and control.
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 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.
This listing offers one plan: the Scale Plan. You pay a contract fee for one monthly period. It gives you access to the Clarifeye SaaS platform plus a bundle of 2,500 Clarifeye Computing Units (CCUs). CCUs are the usage credits the platform consumes. Two things draw from this pool: active users and document processing. When usage exceeds your included units within the monthly period, additional consumption is metered. Because a single bundle is included, your monthly cost combines the flat platform access with the units you actually consume.
Top-of-mind questions for buyers
What is a Clarifeye Computing Unit (CCU), and how does the platform consume them?
A CCU is the platform's usage credit. Two streams draw from your pool. Each active user consumes 10 credits per month. Document processing draws credits per page for parsing, plus credits per million input and output tokens for extraction and tagging.
What happens if my usage goes past the 2,500 included units in a monthly period?
Once you exceed the included units, extra consumption is metered at a single overage rate for the period. There is one rate, applied to units beyond the bundle. You can cap, alert, or pause runs from inside the app to control this.
Do external AI clients querying Clarifeye consume units, or does document volume drive my cost?
External AI clients querying through MCP consume no units; they count only as active users. Units are drawn by active users (10 each per month) and by document processing. Processing cost scales with page volume and complexity, so document-heavy months drive most consumption.
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