Charli AI
Charli AI is a trust and control layer for regulated enterprises - AI governance with regulator-grade auditability.
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What is Charli AI?
Charli AI is a trust and control layer for regulated enterprises that prevents uncontrolled AI-driven data exposure while maintaining traceability, auditability, and policy enforcement. It provides the control infrastructure that determines how AI accesses data, applies policy, produces outputs, and leaves a defensible audit trail, without replacing the enterprise stack. Key use cases include controlled due diligence workflows, continuous exposure monitoring, and audit-ready compliance workflows. Operationalized by more than 4,000 analysts, with 600+ integrations including Snowflake, Databricks, and FactSet.
Charli AI pricing
Pricing model: Free
Pricing details are not publicly disclosed on the website. The platform appears to be enterprise-focused with custom deployment. Organizations must request an AI Exposure Briefing to discuss pricing. The website emphasizes immediate risk reduction and production use cases but does not list specific plan tiers, free tiers, or pricing amounts.
Charli AI pros
- Prevents uncontrolled AI-driven data exposure before it becomes a breach
- Maintains complete traceability across AI workflows
- Provides defensible audit trails for regulated environments
- Enforces policies across AI workflows, models, and systems
- Does not replace existing enterprise systems
- Controls AI access to sensitive data without system replacement
- Enables moving approved AI workflows into production safely
- Reduces breach, compliance, audit, and operational exposure
- Built specifically for regulated enterprises
- Supports continuous monitoring of data and risk signals
- Provides policy-based detection of emerging exposure gaps
- Traceable alerts tied to source evidence and workflow history
- Automated record retention and evidence capture
- Defensible audit lineage from input to output
- Operationalized and vetted by more than 4,000 analysts
- Active customer use today with production-grade implementations
- Integrates with more than 600 available integrations
- Works across regulated data sources and partner ecosystems
Charli AI cons
- Primarily focused on regulated enterprises, may not suit unregulated businesses
- Specialized for financial services as beachhead market
- Does not replace existing AI models, only adds control layer
- May require enterprise-level deployment resources
- Primarily addresses data exposure, not AI model performance
- Complex enterprise integration may require technical expertise
- No mention of self-service or small business options
- Pricing details not publicly disclosed on website
Frequently asked questions about Charli AI
What kind of data sources can Charli AI handle?
Charli can consume vast amounts of structured, semi-structured, and unstructured data and process everything through complex AI ensembles to deliver bottom-line value to financial service organizations. Charli can connect to private and public data sources, integrate with Cloud data platforms such as Snowflake and Databricks, and access complex data sets through providers like FactSet. It works with complex databases and traditional files including PDFs, spreadsheets, Word documents, presentations, audio and video transcripts, and even handwritten notes.
How is Charli implemented within the enterprise?
The Delivery team engages with customers to identify use cases and understand the data access required for successful deployment. The solution is configured for customer needs and prepared for deployment. The Customer Success Team helps onboard key stakeholders and ensures you get Charli up to speed to reduce time-to-value and deliver bottom-line results. Charli has a 97% accuracy rate out-of-the-box, making onboarding efficient and effective.
How does Charli AI manage data privacy and security?
Charli AI takes security and privacy seriously with transparent and observable outputs, SOC2 compliant data centers, and full monitoring with frequent attack and pen-testing. It has been tested in industries with strict regulatory and compliance requirements and passed successfully. From a privacy standpoint, Charli AI operates all AI models used in the Ancaeus Platform and never uses customer data to train public models, ensuring privacy and maintaining each customer's competitive advantage.
Can AI be applied in more than one or two places in my business?
Yes, Charli AI is a Decision Intelligence platform powered by advanced AI that scales both vertically and horizontally. It applies state-of-the-art AI to understand any type of content, extract and fact-check details, and process information with data retrieved from internal or external sources. No-code configuration through an admin console provides flexibility to deploy AI solutions at scale across the enterprise, applicable to hundreds of use cases.
How does Charli AI fit in my organization?
The Charli AI Ancaeus platform integrates into existing infrastructure with more than 600 available integrations. AI power connects structured and ungraded data sources for immediate analysis, processing, and insight generation to address common enterprise use cases such as Research, Compliance, Data Integration, and enterprise automation.
How is Charli AI different than competing AI products?
Charli AI is fundamentally different in three areas: it protects customer data by never using it to train public models, generates factual and accurate results using hundreds of models with fact-checking via Generative Adversarial Networks (GANs) to avoid hallucinations, and provides scalable solutions across the enterprise with a continuous learning framework that deals with changes in enterprise process and data, reducing deployment and maintenance costs without needing bespoke AI models training.
Where is Charli AI hosted and how does it get deployed?
Charli AI fully leverages state-of-the-art Kubernetes technology with auto-scaling resources, self-monitoring, and healing capabilities. It inherits industry's most rigorous security and privacy capabilities. It runs on GCP, Azure, and is also available on AWS. Additionally, it fully supports deployments on customer private cloud environments and on-premises.
What kind of organizations is CharliAI built for?
CharliAI is built for regulated enterprises that need to control AI-driven data exposure, including financial institutions and organizations in industries with strict regulatory and compliance requirements. It is specifically designed for organizations that need to scale AI without losing control of sensitive data, connect AI to real workflows without creating unmanaged exposure, and prove what data was used, what policy applied, and how outputs were produced.
What production use cases are available on CharliAI?
Production use cases include Controlled Due Diligence Workflows with controlled access to sensitive financial and transaction data and traceable analysis from source documents to final outputs; Continuous Exposure Monitoring with policy-based detection of emerging exposure and control gaps; and Audit-Ready Compliance Workflows with policy enforcement, automated record retention, evidence capture, and defensible audit lineage from input to output.
What is the CharliAI difference compared to other solutions?
CharliAI provides the control layer for AI-driven data exposure, managing how sensitive data is accessed, routed, used, traced, and audited across enterprise workflows. Its capital markets applications are production-grade reference implementations demonstrating how regulated, multi-party workflows can be controlled, supervised, traced, and audited at scale. The platform has been operationalized, vetted by more than 4,000 analysts, and is in active customer use today.