Identity is now the fastest-growing attack surface in the enterprise, and the hardest one to govern. Josys is the AI-native platform that closes that gap: it discovers, governs, and secures every identity, human, machine, and AI agent, across every application you run. Policy-led governance is at the core: define access policies once, and Josys enforces them autonomously, surfacing risk, controlling access, and remediating identity threats in real time without manual intervention. More than 1,000 organizations and MSPs rely on Josys to turn identity risk into an autonomously governed advantage. Visit josys.com to learn more.
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Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search across ChatGPT, AI Overview, AI Mode, Gemini, Claude, Perplexity, Meta, DeepSeek and Copilot.
We're building the first marketing platform for AI search as a channel. We show enterprise brands exactly where they stand when customers discover them through AI — then give them the precise playbook to show up stronger. This is Generative Engine Optimization, also known as AI SEO.
Why Leading Enterprise Marketers Choose Evertune:
Data Science at Scale: : We prompt across every major LLM at volumes that capture response variations and ensure statistical significance for comprehensive brand monitoring and competitive intelligence.
Actionable Strategy, Not Just Dashboards: We decode exactly what gets brands mentioned more and ranked higher, then deliver the specific content, messaging and distribution moves that improve your position.
Dedicated Customer Success: Our team provides hands-on training and strategic guidance to help you execute on insights and improve your AI search visibility.
Purpose-Built for AI as a Channel: Evertune was founded in 2024 specifically for how LLMs select and rank brands. While others retrofit SEO tools, we're architecting the infrastructure for where marketing is going: AI search with organic visibility today, paid placements and agentic commerce tomorrow.
Proven Leadership: Our founders helped build The Trade Desk and pioneered data-driven digital advertising. We've shepherded an entire industry through transformation before and have seen early adopters grab the competitive advantage. Our investors, including data scientists from OpenAI and Meta, back our vision because they see where this channel is heading.
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Leapfrog Geo
Collaborative teams can leverage straightforward workflows alongside fast data processing and visualization tools, facilitating important discussions that lead to informed decisions. By utilizing accessible tools, they can construct and enhance geological models efficiently. Large data sets can be transformed into models swiftly without the complexities of wireframing, and geological data can be visualized in three dimensions for enhanced interpretation. This visual representation provides crucial insights, making it easier to understand the data. When new information is incorporated into a model, previously set rules and parameters are seamlessly applied. Altering one model results in immediate updates to all associated models, guaranteeing that they remain current. The capabilities of Leapfrog Geo simplify data analysis through features such as exploratory data analysis and distance functions. Teams can quickly experiment with innovative concepts and refine their models accordingly. Moreover, they can duplicate models and utilize efficient workflows to promptly iterate on interpretations as fresh insights emerge, thereby enhancing the overall modeling process. This integration of technology and collaboration fosters a dynamic environment for continuous improvement.
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GeoThrust
GeoThrust showcases an advanced workflow architecture designed for the accurate generation of earth models and images across varying time and depth scales, utilizing data acquired from irregular geometries in difficult terrains marked by intricate near-surface and subsurface conditions, all while maintaining exceptionally high standards for data analysis and quality assurance, yet ensuring a user-friendly experience for newcomers. The method for estimating the near-surface model is performed through nonlinear tomography that utilizes first-arrival times, effectively accounting for topographical changes and precisely defining both lateral and vertical velocity variations. In addition to implementing statics corrections, near-surface modifications are performed through wavefield dating, which is vital for effective imaging in regions with uneven landscapes. Moreover, GeoThrust skillfully executes subsurface velocity estimation, modeling, and imaging by relying on topographical information instead of a flat datum, applying both rms and interval velocities identified at reflector positions rather than simply at reflection points. This innovative methodology not only enhances the effectiveness of GeoThrust but also provides it with remarkable adaptability, empowering geoscientists to confront a diverse array of geological challenges with assurance. The platform's capacity to integrate complex data sets further strengthens its utility in various geological contexts.
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