Assessing AI
Who Is the Company Behind Assessing AI?
- Seller: Assessing AI
- HQ Location: N/A
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LinkedIn® Page: www.linkedin.com
1 employees on LinkedIn®
Total Products under this Category: 651
Last updated: October 07, 2026
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Highlighted products: Drata, IBM watsonx.governance, Willow AI Governance Control Plane, Securiti, Coder, Cortex Cloud, JumpCloud, and Zapier.
Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-governance-tools/grids.json?focus%5B%5D=drata&focus%5B%5D=ibm-watsonx-governance&focus%5B%5D=willow-ai&focus%5B%5D=securiti&focus%5B%5D=coder&focus%5B%5D=cortex-cloud&focus%5B%5D=jumpcloud&focus%5B%5D=zapier)
Assyro is an AI-powered regulatory submission workspace tailored for pharmaceutical, biotechnology, and medical device teams. It streamlines the complex process of drafting, validating, and managing regulatory submissions, enabling organizations to reduce submission cycles by over six weeks and save approximately $250,000 per cycle. By integrating drafting, validation, and audit readiness into a unified platform, Assyro enhances efficiency and compliance across regulatory operations. Key Features and Functionality: - AI-Powered Submission Drafting: Assyro accelerates the creation of regulatory documents by providing intelligent suggestions and clause-level guidance, allowing teams to draft up to three times faster. - Real-Time eCTD Validation: The platform offers real-time validation of Electronic Common Technical Document (eCTD) submissions, identifying errors and compliance issues early to reduce validation time and minimize the risk of rejection. - Centralized Regulatory Intelligence: Users have access to a comprehensive knowledge base of regulatory information, including key documents like CFR Title 21 and regulatory letters, supporting informed decision-making during the submission process. - Audit-Ready Documentation: Assyro automatically generates and maintains detailed, audit-ready trails of all actions and changes, ensuring organized documentation readily available for inspections. - Automated Workflow Management: The system triggers validation, drafting, routing, and readiness checks automatically at critical timeline points, embedding essential checks into the workflow to prevent last-minute issues. Primary Value and User Solutions: Assyro addresses the challenges of time-consuming rework, version control issues, and manual status reporting in regulatory submissions. By automating and integrating key aspects of the submission process, it enables regulatory teams to: - Reduce Submission Timelines: By cutting review cycles from weeks to days and automating workflows, Assyro significantly shortens the time required for regulatory submissions. - Enhance Compliance and Audit Readiness: The platform ensures that all submissions are audit-ready, with comprehensive documentation and traceability, aligning with regulatory standards such as 21 CFR Part 11 and EU Annex 11. - Increase Operational Efficiency: Assyro allows teams to manage multiple programs across jurisdictions without expanding headcount, providing consistent execution and coordination across affiliates and partners. By leveraging Assyro, organizations can streamline their regulatory submission processes, reduce costs, and improve compliance, ultimately accelerating the time-to-market for their products.
Atara Compass is an AI-powered audit platform built for small businesses that want clear, actionable insight without needing a technical team. It offers five tools - Website Audit, Funnel Audit, ADA Accessibility Audit, AI Readiness Assessment, and AI Usage Policy Builder - each delivering plain-language findings, prioritized recommendations, and a 90-day implementation roadmap in minutes. Reports are scored, risk-rated, and structured around what to fix first. Free snapshots are available for most tools; full PDF reports include the HAI Framework review -- Atara's Human-Aligned Intelligence lens that evaluates cognitive load, emotional safety, decision friction, and visual scanability alongside standard technical findings. The ADA Accessibility Audit serves organizations of all sizes as federal compliance requirements continue to expand.
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Athena by DigitalNet.ai is an advanced AI-powered accessibility compliance solution designed to help organizations swiftly and effectively align their digital assets—such as websites, codebases, and document repositories—with global accessibility standards, including Section 508, WCAG 2.1 and 2.2, and the EU's EN 301 549. Leveraging DigitalNet's JanusAI platform, Athena automates the detection and remediation of accessibility issues, ensuring inclusivity for users with diverse needs. Key Features and Functionality: - Comprehensive Compliance: Athena scans and evaluates digital content against multiple international accessibility standards, identifying issues that may hinder users with visual, auditory, cognitive, or motor impairments. - Automated Remediation: Utilizing human-AI paired coding, Athena generates production-ready fixes with technical explanations, allowing developers to review, accept, edit, or reject recommendations, thereby maintaining human oversight and enhancing team efficiency. - Multi-Perspective Analysis: The system employs seven distinct AI agent perspectives to detect challenges specific to various user populations, enabling teams to prioritize remediation efforts effectively. - Continuous Monitoring: Athena's orchestration and memory capabilities ensure that accessibility quality is maintained across releases and updates, providing evidence for identified issues to foster a culture of awareness and proactive prevention. Primary Value and User Solutions: Athena addresses the common organizational challenge of achieving and maintaining digital accessibility compliance by offering a comprehensive, efficient, and user-friendly solution. By automating the detection and remediation process, it reduces the operational burden on teams, accelerates compliance timelines, and ensures that digital content is accessible to all users, thereby enhancing user experience and mitigating legal risks associated with non-compliance.
Atlasia is an AI-powered platform designed to streamline Environmental, Social, and Governance (ESG) compliance for businesses. By transforming complex sustainability documentation into verifiable ESG scores and shareable reports, Atlasia simplifies the compliance process, enabling companies to meet regulatory standards efficiently. Key Features and Functionality: - AI-Driven Document Analysis: Automatically extracts, validates, and scores information from uploaded certificates and policies, ensuring accuracy and consistency. - ESG Passport: Generates a comprehensive ESG score across governance, quality, environmental, and social domains, providing a clear overview of compliance status. - Gap Analysis and Action Plans: Identifies areas needing improvement and offers prioritized roadmaps to address compliance gaps effectively. - Secure Sharing and Verification: Allows for the distribution of live partner links or QR-verified PDF reports, enabling partners to verify ESG claims without additional logins. - AI Compliance Copilot: Provides real-time ESG guidance and answers compliance-related queries, assisting teams throughout the compliance journey. Primary Value and User Solutions: Atlasia addresses the challenges of ESG compliance by reducing the time and resources required for data collection, analysis, and reporting. It offers a centralized, verifiable source of truth for sustainability metrics, ensuring transparency and trust among stakeholders. By automating complex processes and providing actionable insights, Atlasia empowers businesses to achieve and maintain compliance with evolving ESG regulations efficiently.
Attestiv is a cutting-edge platform that ensures the authenticity and integrity of digital media, including photos, videos, and documents. Leveraging patented AI technology, Attestiv detects and prevents tampering and fraud in real-time, providing businesses with a reliable solution to maintain trust and security in their digital assets. Key Features and Functionality: - Tamper Detection and Scoring: Utilizes AI-driven forensic analysis to assign a tamper score to digital media, indicating the likelihood of alteration or manipulation. - Deep Scan Pixel Analysis: Employs advanced machine learning to perform pixel-level analysis, visually highlighting potential manipulations through heatmap overlays. - Document Validation: Integrates intelligent document processing (IDP) to automate the verification of document authenticity, reducing manual inspection efforts. - Tamper-Proofing via Fingerprinting: Creates unique digital fingerprints for media assets, optionally anchoring them to a distributed ledger to prevent unauthorized alterations. - Web Dashboard and APIs: Offers a user-friendly interface and APIs for seamless integration, enabling real-time validation and reporting of digital media authenticity. Primary Value and Problem Solved: Attestiv addresses the growing challenge of digital media fraud and tampering by providing a robust solution that authenticates and protects digital content. By ensuring the integrity of digital assets, Attestiv helps businesses build trust with their customers, prevent fraudulent activities, and streamline processes that rely on accurate and untampered media. This is particularly crucial in industries such as insurance, financial services, and healthcare, where the authenticity of digital information is paramount.
Attestly is an automated AI governance and compliance platform designed to turn operational execution traces into audit-ready EU AI Act documentation. Built for enterprises, AI engineers, and compliance teams, Attestly continuously captures live AI agent execution logs and generates verifiable evidence for Article 12 compliance. Key Capabilities: - Automated Article 12 Compliance: Continuous, real-time capture of AI agent trace data. - Zero-Trust Cryptographic Ledger: Employs append-only ledgers, cryptographic hash-chaining, and Merkle tree proofs to guarantee evidence immutability. - Regulator-Ready Auditing: Provides independent WASM verifiers for transparent, third-party proof validation without exposing sensitive payload data. - Continuous Runtime Visibility: Replaces periodic manual audits with automated, continuous decision logging and risk tracking.
Attevera is an AI Act readiness operating system for companies that deploy or provide AI in the EU. It turns Regulation (EU) 2024/1689 into a living operating record: inventory every AI system you operate, map its obligations to the exact articles, assign controls to named owners, capture the evidence each control needs, and close a signed monthly review you can hand to counsel or an auditor. Built for Compliance, Legal, Privacy, GRC, and AI governance leads, and the product and engineering teams they work alongside. Evidence auto-flags stale at 90 days. The Article 73 serious-incident clock starts a 15-day countdown the moment an incident is logged. Article 4 AI literacy tracking is native. Every classification, assignment, sign-off, and revocation lands in an append-only audit trail. Attevera is purpose-built for the EU AI Act — not a horizontal GRC tool with an AI bolt-on. It is for deployers and product teams shipping AI into production; it does not cover GPAI foundation-model provider obligations under Articles 51–56. Attevera is a readiness operating platform, not a law firm. It prepares the operating record that your counsel or an auditor reviews — it does not determine compliance.
Auditome Sovereign Engine (ASE) is a verifiable execution infrastructure designed for regulated and high-trust systems, ensuring that every AI action is traceable, authorized, policy-compliant, and evidential. ASE addresses critical challenges in sectors like healthcare, finance, and legal by providing a governed execution layer that produces repeatable outcomes, redacts sensitive data before model interaction, and generates cryptographically signed records for tamper-evident audit evidence. Key features include governed execution APIs, event and trace capture, and community support. ASE's primary value lies in its ability to provide verifiable proof of AI actions, closing the gap in AI stacks that can generate output but cannot prove what happened, thereby enhancing trust and compliance in AI-driven workflows.
AutoPIL is an AI agent governance platform designed for regulated industries, ensuring that autonomous AI agents access data in compliance with organizational policies. By enforcing access controls at the point of data retrieval, AutoPIL prevents unauthorized sensitive information from entering an agent's context window. Each access decision generates a tamper-evident audit record, providing transparency and accountability. Key Features and Functionality: - Policy Engine: Utilizes YAML-based policies with allowlists, denylists, and sensitivity ceilings. Policies can be hot-reloaded without service restarts and managed via a REST API with version history. - Immutable Audit Log: Logs every retrieval attempt, including decisions, matched policies, reasons, context hashes, and timestamps. The append-only log is cryptographically chained to ensure integrity. - Tamper-Evident Hash Chain: Each audit event is SHA-256 linked to the previous one, allowing verification of the entire log's integrity with a single API call. - Real-Time Alerting: Implements threshold rules for denial spikes, new data source access, cross-agent isolation violations, and high deny rates, with notifications delivered via webhooks or email. - OpenTelemetry Integration: Emits spans and metrics from every policy evaluation, compatible with tools like Datadog, Grafana, and Splunk. - Multi-Tenancy: Ensures row-level tenant isolation across all tables, with separate audit events, policies, and alert rules for each tenant. - Cross-Agent Isolation: Automatically denies and logs attempts by agents to access sessions initiated by other agents, ensuring strict session boundaries. - Async-Native Support: Provides concurrent-safe tracking across asynchronous agents, compatible with asyncio, FastAPI, and aioboto3. - ASGI Middleware: Offers HTTP-layer enforcement for FastAPI and Starlette applications, with route-based policy mapping and shadow mode for non-disruptive rollout. - Live Dashboard: Features real-time charts, full-text search, isolation violation banners, trend indicators on denial rates, and distribution analysis across integration channels. - PIL Score: Computes a governance health index from recent enforcement activity, highlighting strengths and areas for improvement. Primary Value and Problem Solved: AutoPIL addresses the critical need for governance in autonomous AI systems, particularly in regulated sectors where data access violations can lead to significant compliance incidents. By enforcing access policies at the data retrieval layer, it ensures that only authorized data enters an agent's context, mitigating risks of unauthorized access and data breaches. The platform's comprehensive audit trails and real-time alerting mechanisms provide organizations with the tools to monitor, verify, and maintain compliance, thereby fostering trust in AI-driven processes.
Avon AI is a governance and monitoring platform for the business teams responsible for live, customer-facing conversational AI agents in production. It lets non-technical owners in support, ops, and product see what every agent is saying, catch when an agent drifts off-policy after launch, and enforce company rules across multiple agents from multiple providers, with no engineering and no code changes. Teams use Avon AI to review agent conversations, build their own compliance checks, and turn everyday issues into permanent tests that run as agents change over time. The result is agent quality owned by the people who understand the business, not the engineers. Avon AI is named in Gartner's Market Guide for Guardian Agents, under the Business Alignment category.
What is Barndoor? Barndoor is an AI gateway and AI control plane for Mid-Market and Enterprise organizations that need to govern LLM and MCP usage across employees, AI agents, and applications. AI clients, agents, and automations connect to LLMs and MCP servers through the Barndoor AI Gateway instead of directly. Each request is authenticated against the organization's identity provider, checked against policy, scanned for sensitive data, metered, and logged. Barndoor combines LLM gateway, MCP gateway, and AI security functions under one policy model and integrates with any LLM provider, any MCP server wherever it's hosted, and existing security tools. AI Gateway capabilities: - LLM and MCP gateway: one entry point for model and MCP tool calls, with credential management, virtual keys, rate limiting, and failover across 100+ LLM providers - MCP registry: a central catalog of approved MCP servers and tools that employees and agents can connect to - MCP access control: identity-aware, tool-level permissions, with AI agents assigned their own identity so people and agents follow the same rules - Runtime policy enforcement: policies evaluated on every call decide which users and agents reach which LLMs, MCP tools, and automations, and which actions require human approval - Data protection: detects PII, secrets, financial data, and prompt injection in prompts and responses, then blocks, redacts, masks, or tokenizes before data leaves the environment - AI cost controls: budgets, rate limits, and spend tracking by user, team, application, or automation - AI adoption visibility: one dashboard for LLM usage, MCP tool calls, automation runs, latency, cost, and policy decisions, with adoption measured by employee, agent, department, and organization - Audit and compliance: a complete log of AI activity for security reviews and regulatory requirements - Integrations: connects to SIEM, identity providers, and enterprise tools
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