Fable Security's Human Risk Platform is an advanced solution designed to identify, assess, and mitigate human-related cybersecurity risks within organizations. By integrating artificial intelligence with behavioral science, the platform delivers targeted interventions that effectively change employee behavior, thereby enhancing overall security posture.
Key Features and Functionality:
- Data Synthesis: Aggregates and analyzes data from identity and access management systems, human resources, workspace tools, and security applications to quantify employee risk based on thousands of signals.
- Behavior Identification: Pinpoints high-risk behaviors such as poor security hygiene, data exposure, susceptibility to social engineering, and policy non-compliance.
- Targeted Interventions: Deploys personalized, AI-generated briefings, nudges, two-way chats, and workflows directly to employees within their work environment to prompt secure habits.
- Risk Assessment: Provides dynamic risk profiling and segmentation, allowing organizations to understand and prioritize employee risk based on role, access, behavior patterns, and threat exposure.
- Compliance Management: Offers modern training and simulations aligned with company policies and regulatory frameworks, accompanied by audit-ready reporting.
Primary Value and Problem Solved:
Fable Security's Human Risk Platform addresses the critical challenge of human-related cybersecurity vulnerabilities by transforming employee behavior through data-driven, personalized interventions. Traditional security awareness programs often fail to produce measurable risk reduction; however, Fable's approach ensures that interventions are context-aware, timely, and tailored to individual roles and behaviors. This results in significant improvements in security hygiene, data handling practices, and compliance, ultimately reducing the likelihood of security incidents stemming from human error.
Pallix is an AI visibility and answer engine optimization (AEO) platform that tracks, explains, and improves how brands appear in AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and Grok. As buyers increasingly ask AI for recommendations instead of scrolling search results, Pallix shows brands whether AI is recommending them or their competitors, why, and exactly what to do about it.
The dashboard goes well beyond a single visibility score. It breaks down performance per engine and per prompt — mention rate, prompts visible, average position, and flagged or negative answers — and pairs it with a technical readiness audit (whether AI can reach and read your site, your AI guidance file, and on-page trust signals). It surfaces competitor share of voice and shows who AI recommends instead of you, analyzes how AI frames your brand (tone, sentiment, and the words it associates with you), and maps the exact third-party sources each engine cites in your category — Reddit threads, review roundups, marketplaces — so you know precisely where to earn mentions. Every finding rolls up into a prioritized action roadmap with effort and impact labels.
Pallix works in any market — it queries AI from within the region you sell in, so results reflect the brands, sources, and language your actual buyers see, rather than US-default answers. That regional accuracy runs deepest for India: Pallix handles Hinglish and local phrasing and analyzes the Indian sources AI actually cites, making it especially strong for Indian D2C brands, SMBs, and agencies — while working globally for teams anywhere. Start with a free audit (no signup), then move into the dashboard for ongoing tracking, source-gap intelligence, Reddit intelligence, and competitor monitoring.
SignalPGx is a business-to-business pharmacogenomics reporting and medication intelligence software platform for genetic testing laboratories, clinics, pharmacy organizations, and health systems. It transforms genotype data from VCF files, Agena MassARRAY plate files, instrument CSVs, and custom laboratory formats into evidence-graded, branded PGx reports with medical-director review and release workflows.
The platform combines pharmacogenomic guidelines and regulatory evidence from sources including CPIC, DPWG, PharmGKB, FDA, ClinVar, ClinPGx, EMA, and Health Canada with a medication intelligence graph, an AI-assisted clinical support interface, medication simulation, living reanalysis and alerts, payer and audit documentation, and API, EHR, HL7, and laboratory integrations. SignalPGx supports white-label deployment, allowing organizations to deliver portals and reports under their own brands.
SignalPGx is designed for organizations that want to launch or modernize pharmacogenomics reporting without building and maintaining a complete interpretation, evidence-management, report-generation, and clinical workflow platform internally.
EntityRise is AI visibility software that measures how ChatGPT, Claude, Gemini, Grok and Perplexity describe, cite and recommend a company.
The AI Visibility Audit is self-serve. From a company website, EntityRise builds an editable business profile, proposes commercial buyer topics and prepares a set of 20 buyer questions: 17 discovery questions without the brand name and 3 brand-aware questions. The customer reviews and approves each step before any measurement runs, and the confirmed question set is sealed with a hash before the first test.
Every question is tested across the five AI providers, producing up to 100 question-provider observations. Each observation records whether the brand was mentioned, recommended and cited, how prominently it appeared and how accurately it was described. Competitors are researched and benchmarked on six dimensions under an identical plan. The report has seven sections, including strategic priorities with confidence levels, a technical readiness check across 4 areas and 30 signals, and audit integrity details: the audit ID, provider model versions and timestamp.
Key features:
- Measurement across ChatGPT, Claude, Gemini, Grok and Perplexity
- Customer-approved buyer question sets, sealed before testing
- AI Visibility Index built from mention, recommendation, prominence, citation support and description accuracy
- Competitor benchmark on six dimensions
- Technical readiness check for AI crawlers
- Prioritized fix plan with confidence levels
- Available in English and Polish
Pricing: the AI Visibility Audit costs $49, one time. The Expert Audit ($499) adds human verification of every finding and an ordered plan. For implementation, EntityRise offers an Implementation Sprint ($5,000, six weeks) and Growth Service (from $3,500 per month), with SEO included.
EntityRise is operated by Smophy Labs Inc., a Delaware corporation.
Cobalstamp is a lightweight SDK designed for audio watermarking that allows organizations to prove ownership and label AI-generated audio.
The platform embeds imperceptible, server-verifiable mark IDs directly into audio signals, running on local hardware without GPU.
It primarily helps founders and developers quickly track audio lifecycles and comply with the AI verification obligations of EU AI Act Article 50.
Cratis AI is an advanced Financial Planning and Analysis (FP&A) platform designed to revolutionize enterprise finance operations by leveraging artificial intelligence. Traditional FP&A processes often involve time-consuming manual tasks, leading to inefficiencies and delayed insights. Cratis AI addresses these challenges by automating variance analysis, forecasting, and executive commentary, enabling finance teams to generate comprehensive reports in minutes rather than days.
Key Features and Functionality:
- Budget Forecasting & Reporting: Transforms raw financial data into polished Budget vs Actual reports and financial statements swiftly.
- Chart of Accounts mapping
- Multi-scenario modeling
- Real-time data synthesis
- Intelligent Variance Analysis: Automatically identifies meaningful signals, including reversals, masked trends, and structural breaks.
- Pattern recognition
- Anomaly detection
- Signal-to-noise filtering
- Executive-Level Insights: Generates context-rich commentary that explains the underlying causes behind financial figures through causal analysis.
- Causal relationship mapping
- Operational feedback loops
- Strategic recommendations
- Enterprise-Grade Accuracy: Ensures precision with deterministic processing, cryptographic audit trails, and multi-tenant isolation.
- Immutable audit logs
- Traceable calculations
- SOC 2 ready architecture
Primary Value and User Solutions:
Cratis AI empowers finance teams by automating labor-intensive tasks, allowing them to focus on strategic analysis and decision-making. By reducing the time spent on manual work, organizations can achieve faster month-end closes, enhance accuracy, and gain deeper insights into financial performance. This transformation leads to more informed decisions, improved operational efficiency, and a significant reduction in the risk of errors associated with manual processes.
A payslip, invoice or tax notice can look untouched on screen yet still carry traces of editing inside the file. Veritas-Doc reads the PDF page by page, including its metadata and internal structure, and surfaces technical signs of modification in seconds.
The analysis covers six families of signals: editing software and production chain (around sixty known tools), incremental saves, inconsistent dates, covered areas, text recovered from under masks, and fonts that change mid-line. When the file still holds text hidden under a white box, Veritas-Doc shows it in its exact position.
Each signal is named, ranked by severity and weighted. The confidence score starts at 100 and deducts each signal's weight, so you can recalculate it line by line. The printable report can be attached to the case file to document your check.
Veritas-Doc never labels a document as fraudulent: it provides objective evidence and the decision stays with the person reviewing the file. The content of uploaded PDFs is not stored.
Built for letting agents and landlords, HR and payroll teams, accountants, auditors and lawyers, banks and insurers, and individuals. The Firm plan includes an API that returns the report as JSON.
Key features
- Editing software and production chain detection
- Incremental save count
- Inconsistent date detection
Covered area detection (boxes, overlaid images, redactions)
- Text recovered from under masks, with a confidence level
- Mixed-font detection within a single line
Detailed, recalculable confidence score
- Printable report, exportable as PDF
- Batch upload
- REST API with JSON response (Firm plan)
WireFlow is cloud-based diagram software for audio-visual and live event preproduction planning. It enables the creation of signal flow diagrams, rack elevations, LED wall layouts, and cable schedules in one workspace. Connection-aware validation prevents setup errors by ensuring compatible cable types and accurate port matching for HDMI, SDI, XLR, RJ45, USB, DMX, DisplayPort, Dante, NDI, and fiber connections. Devices can be positioned and connected port-to-port with automatic validation. WireFlow generates exportable cable schedules, bills of materials, and PDF documentation. Features include an LED wall builder for cabinet grids, pixel mapping, and power planning, plus a rack elevation tool with labeled front and rear views. Zone mapping designates stage and control areas. Cloud autosave syncs work across devices, while share links allow read-only project viewing. Team workspaces enable shared editing, project chat, and inventory tracking.
SignalVerify Voice CLI Verification is a developer-friendly telecom testing tool that lets businesses verify exactly how their outbound voice calls appear to real customers across carriers and regions. Rather than relying on guesswork or synthetic testing environments, it uses a network of live SIMs and real devices to simulate actual call conditions — revealing whether your numbers are being labeled as "Spam Likely," mislabeled, or blocked before they ever reach your audience. Accessible directly from the command line or via API, it fits seamlessly into existing workflows and CI/CD pipelines, enabling engineering and operations teams to automate number identity checks, monitor call reputation across global markets, and fix trust issues proactively — all without needing to log into a dashboard.
Cyber Horizon Intelligence (CHI) is a governance, risk, and compliance platform built for growing organisations that need enterprise-grade security governance without an enterprise-sized team. It brings the work that's usually scattered across spreadsheets, shared drives, and disconnected tools into one auditable system of record.
With CHI, teams manage their compliance frameworks end to end — ISO/IEC 27001, SOC 2, GDPR, Cyber Essentials and more — with control catalogues, a live Statement of Applicability, and a clear view of where they stand against each standard. Around that sit the operational registers a security programme runs on: risk management, third-party and vendor risk, an asset register, incident and case management, policies, DPIAs and records of processing, internal audits, and management reviews.
CHI uses AI to reduce the busywork, not to replace judgement. It drafts board- and auditor-ready executive reports from your live data, analyses your control coverage to surface the most important evidence gaps, and gives an in-product advisor for day-to-day GRC questions. Every generated report is saved as a dated, reproducible record. Integrations with tools like Microsoft Entra ID, Intune, Jamf, Jira and HR systems pull real signals into your posture, with connectors clearly labelled by maturity so you always know what's validated.
Security and tenant isolation are foundational: strict per-organisation data separation enforced in the application layer and tested continuously, role-based access control (admin, manager, member, auditor, and custom roles), SSO/SAML and SCIM provisioning, and EU data-residency options. Customers get a Trust Center to share their security posture with their own buyers.
CHI is ideal for SMBs, scale-ups, MSPs, and consultancies who want to reach and maintain compliance faster, run a credible security programme, and answer customer security questionnaires with confidence — all from a single, honest, well-designed platform.
MouseCat is an AI-powered fraud investigation platform designed to emulate the analytical capabilities of top human analysts. It automates the research process into users and businesses, reasons across disparate data sources, and provides complete audit logs with explainable decisions. By transforming investigative findings into actionable features, rules, and improved decision-making processes, MouseCat enhances the efficiency and effectiveness of risk teams.
Key Features and Functionality:
- Automated Research: Conducts in-depth investigations into users and businesses, automating the research process to scale manual fraud investigations.
- Data Integration: Connects to platforms like Databricks and Snowflake, working seamlessly with in-house rule engines and feature stores to understand existing risk signals.
- Feature Engineering: Extracts intelligent features from unstructured data, enabling the automatic exploration and backtesting of new features and rules.
- Synthetic Label Generation: Creates synthetic labels to identify fraudulent activities before ground-truth labels are available, aiding in proactive fraud detection.
- Explainable Decisions: Provides complete audit logs and deterministic back-tests, ensuring transparency and accountability in decision-making processes.
Primary Value and Problem Solved:
MouseCat addresses the limitations of traditional AI tools that often stop at summarizing alerts and providing recommendations. By closing the loop from investigation to production rules, models, and decisions, MouseCat enables risk teams to take end-to-end actions. It automates manual fraud investigations, reduces the need for manual reviews, and accelerates fraud mitigation efforts. This comprehensive approach allows organizations to proactively discover and address anomalies, generate high-precision rules, and build better models, ultimately enhancing their fraud detection and prevention capabilities.
Hortusys is harvest, workforce and traceability software for orchards and berry farms. It replaces paper harvest sheets and Excel files with one record that the field, the office and the auditor all use.
In the field, the crew leader uses an Android app that works without a signal. Every bin gets a QR label and is recorded by picker, block, row and weight.
In the office, the web app turns these records into pay. Hortusys calculates hourly and piece-rate pay, quality bonuses, payments and debts for every seasonal worker. Crew tasks have start and end times, rates and attendance. Reports export to Excel or CSV.
The same records are the audit evidence. Spray and fertigation records, bin labels and quality checks are kept together for GLOBALG.A.P. and GRASP. Holders of a GLOBALG.A.P. Option 2 group certificate (packhouses, exporters and cooperatives) keep each member farm as a separate orchard and see all of them for internal audits.
The orchard map shows blocks, rows and plants with cultivar and rootstock. Scouting reports add photos and a point on the map.
Cortica is a pioneering company in the field of Autonomous Artificial Intelligence (AI), dedicated to developing technologies that enable machines to process information and learn in a manner akin to the human brain. Over the past 15 years, Cortica has invested over $250 million to build a comprehensive portfolio of Autonomous AI technologies, safeguarded by more than 300 patents. The company collaborates with global market leaders to establish Autonomous AI enterprises that possess a significant technological and business edge, addressing substantial market opportunities.
Key Features and Functionality:
- Signatures: Cortica's technology simulates human brain function by transitioning from traditional AI labels to generic representations. This approach indexes and compresses information into neural responses, facilitating efficient data processing.
- Adaptive Architecture: The AI exhibits brain-like, scenario-focused contextual adaptability. It applies a sparse set of resources during processing, resulting in superior performance and enhanced efficiency.
- Self-Learning: Cortica's neural network algorithms are capable of self-learning in dynamic environments, operating independently of manually labeled data and remaining unaffected by data biases.
- Speed and Scalability: The technology is designed to process and index large volumes of data on low-compute platforms, ensuring rapid and scalable performance.
- Versatility: Mirroring the human cortex, Cortica's systems can handle various types of signals, including visual, audio, radar, time series, and more.
Primary Value and Solutions:
Cortica's Autonomous AI technology offers transformative solutions across multiple industries by enabling machines to think and learn autonomously. This capability leads to significant advancements in sectors such as autonomous vehicles, security, and healthcare. By replicating human-like perception and learning, Cortica's AI enhances efficiency, reduces costs, and improves performance in complex tasks, thereby providing substantial value to its users.
Quartz PCI-CFR is a specialized version of Quartz PCI built for laboratories that must manage digital microscope images in compliance with FDA 21 CFR Part 11 regulations governing electronic records and electronic signatures. It is designed for pharmaceutical, biotechnology, and medical device labs where digital images function as regulated records, not just working files.
Unlike text documents, where comparing two versions reveals exactly what changed, it is generally not possible to tell what processing steps were applied between two versions of an image. PCI-CFR addresses this by capturing data directly from the microscope with no intervening save step, then recording every subsequent processing and annotation operation in a secure, tamper-evident audit trail. Every version of an image is retained, encrypted, and protected by a cryptographic digest, so raw data and all downstream edits remain permanently recoverable and verifiable.
Access is controlled through four standard user roles, acquisition, read-only, read-write, and signing, so labs can separate who can capture data from who can approve it. Authorized users apply digital signatures directly to image records, with signature metadata (signer, timestamp, and meaning, such as review or approval) embedded permanently in the file. Signed data can be exported as digitally signed PDFs suitable for regulatory submission.
Two add-ons extend compliance beyond images: the Secure Repository creates a controlled virtual drive for non-image files (spectra, spreadsheets, third-party analysis output) under the same version control and audit trail; the Virtual Printer Driver lets any Windows application "print" its output directly into a compliant, signable PCI-CFR record.
Quartz Imaging also offers IQ/OQ (Installation Qualification/Operational Qualification) support, conducted remotely or on-site, to help labs formally validate the software as part of their compliance documentation. The current release is PCI-CFR Version 6, sold by subscription with ongoing technical support and updates included.
Dynamoi optimizes for music royalties, algorithm lift, and organic growth. Built at the API level — connecting directly to ad networks, streaming platforms, and royalty systems — so artists, labels, and YouTube creators can grow audiences that compound over time.
YouTube Campaigns connect Google Ads to YouTube AdSense data, optimizing bids toward revenue per country across 150+ markets. Ad spend partially pays for itself through earnings. Works for monetized creators in any niche, not just music. Watch-time mode helps channels growing toward the YouTube Partner Program.
Smart Campaigns automate Meta Ads for Spotify and Apple Music saves — the signals that trigger Release Radar, Discover Weekly, and algorithmic playlisting. One form deploys across Meta, Google, TikTok, and Snapchat. Unlimited Smart Links, real-time analytics, and daily budget optimization included.
Music Distribution releases to 150+ stores worldwide. Artists with 10,000+ monthly listeners can reinvest royalties into campaigns for a 25% bonus on ad credit.
Publishing Administration registers songs for mechanical and performance royalties. 100% writer's share, zero commission.
No ad account setup required — campaigns run from managed Meta, Google, and TikTok accounts. $300/month converts to 100% ad credit with a $600 first-month match. Unlimited artists and team seats. No bots, no payola, no contracts.
Renumics specializes in delivering tailored AI solutions for the engineering and manufacturing sectors, focusing on the analysis and evaluation of test, machine, and simulation data. Their expertise spans from initial proof of concept to fully operational production systems, ensuring seamless integration into clients' existing workflows. By emphasizing end-to-end development, co-creation, and a steadfast commitment to user value, Renumics addresses the unique challenges of industrial AI applications.
Key Features and Functionality:
- AI for Testing and Validation: Renumics offers AI-driven tools that assist test engineers in reviewing, cleaning, and understanding complex data sets, such as audio signals and time series. These tools automate tasks like anomaly detection and root cause analysis, significantly reducing the time required to generate testing reports.
- Automation of CAX Processes: By developing machine learning algorithms capable of handling intricate product development data, Renumics automates labor-intensive engineering tasks. This approach enhances efficiency in Computer-Aided Engineering (CAE) and simulation processes.
- Knowledge Management for Complex Machines: Utilizing Retrieval-Augmented Generation (RAG) systems, Renumics creates AI assistants that can answer questions based on internal documentation. This technology streamlines access to information, reducing the time engineers spend searching for data and improving overall productivity.
Primary Value and Problem Solved:
Renumics addresses the critical need for efficient data analysis and management in engineering and manufacturing. By automating routine and complex tasks, their AI solutions reduce manual effort, minimize errors, and accelerate project timelines. This leads to enhanced operational efficiency, cost savings, and the ability for engineers to focus on innovation and problem-solving rather than time-consuming data processing tasks.
SiteAssay is a prospecting and website audit platform for agencies and freelancers who sell web design, SEO, security or IT maintenance to local businesses. It finds businesses worth pitching, measures their web presence against published standards, and turns the findings into a white-label report a business owner can read.
Finding prospects. A search is a trade and a city. SiteAssay returns the local businesses from the Google Places API, separates those with no website from those whose website has problems, and scores each one from its public listing so the agency can choose which to audit. Searches can be scheduled, and the Local Grid shows where a business ranks on the map around its own address.
The audit. 48 adapters check 252 signals across 11 scored categories: performance and Core Web Vitals, security headers, TLS and exposed files, email authentication (SPF, DKIM, DMARC), SEO, AI visibility and AI trust, conversion readiness, WCAG 2.1 AA accessibility, technology and JavaScript library vulnerabilities, reputation, and the Google Business Profile. Scoring weights follow the agency's service line, so a web design studio and a security consultancy get different rankings from the same audit.
The report. 18 sections and a letter grade, and for each finding the measurement, the standard, why it matters, what it plausibly costs the business and how to fix it, with copy-ready DNS, nginx and schema snippets. Each finding is labelled High or Medium confidence, and a check that could not run is shown as Not measured rather than counted as a pass. Reports are shared as a link and a PDF, carry the agency's name and logo from the Pro plan, and can be re-run on a schedule to show what changed.
Outreach. SiteAssay drafts a first email from the audit's findings. A person approves every message, and it sends from the agency's own mailbox with a one-click unsubscribe and a daily limit.
Plans start at $29 a month, or $23 a month billed annually, with a 7-day free trial and no card. A single report costs $19 without a subscription. The Agency plan adds a REST API, signed webhooks and an MCP server.
Cited (citedintel.com) is the evidence-first generative engine optimization (GEO) and answer engine optimization (AEO) platform. Many teams search for this category as AI SEO software. Cited tracks how often ChatGPT, Perplexity, Claude and Gemini recommend your brand on real buyer-intent prompts, across every funnel stage. It measures your AI share of voice, mentions, citations and endorsement in your category.
When a competitor wins the recommendation, Cited shows you the exact answer and the evidence behind it. Then it closes the visibility and optimization loop. You get ready-to-publish content briefs and editable drafts grounded in what AI engines actually cite, the third-party citation signals, reviews and digital PR targets that AI engines trust. Built-in AI search readiness scans run 30+ technical checks, covering AI crawler access, rendering, structured data and answerability, so AI agents can actually read and cite your site. The next audit re-measures the result, so your team sees whether the fix moved the number.
Cited is built for B2B SaaS, B2B tech businesses, B2B services and D2C brands of every size, from startup to enterprise, and for agencies running GEO as a billable service. It starts with a free AI search visibility audit, no credit card needed.
For brands, plans start at $95 per month. Pro for brands, at $375 per month, adds continuous competitive intelligence, threat alerts, two projects and business impact reports. Enterprise plans cover custom scope: 10+ AI engines including Google AI Overviews, Google AI Mode and Grok, plus multi-market, custom prompt depth, and multi-language tracking.
On Agency Pro, at $599 per month, agencies get pooled audits across the client roster and executive reports per client. A White Label tier adds white-label client reports and share links, priced per client roster.
BuzzSearch scrapes thousands of comments on Reddit, TikTok, YouTube to analyze customer pain points, objections, habits, and lingo--so we can write an ad that resonates and converts. Use BuzzSearch to do audience analysis, extract UGC signals, and scale winning ads.