
Synap is an intelligent online exam platform for secure, question-based learning, trusted by organisations worldwide. Designed to help businesses, training providers, and educational institutions create, deliver, and manage both practice and high-stakes exams with ease. Synap offers a fully customisable, brandable portal, allowing companies to maintain their identity while providing seamless exam experiences.
Our platform supports diverse question types including images, MCQs, and EMQs, which can be created directly or imported in bulk via CSV to streamline large-scale assessment needs. Integrated proctoring ensures exam integrity by monitoring candidates during live exams, preventing cheating and fraud.
Synap delivers robust analytics and reporting tools, giving organisations detailed insights into learner performance, progress, and question effectiveness. This data empowers businesses to make informed decisions, improve training outcomes, and identify skill gaps quickly.
With flexible exam timers, question randomisation, and secure environments, Synap scales effortlessly from small teams to enterprise-level clients. Plus, easy LMS integrations and API support enable smooth workflow automation.
Synap’s intuitive interface requires minimal training, enabling organisations to deploy exams quickly and efficiently. Our dedicated customer success team provides ongoing support to ensure smooth implementation and continuous optimisation. Synap also supports compliance with data protection regulations, giving organisations peace of mind when handling sensitive learner data.
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AuthorityTech is the world’s first AI-native Machine Relations agency and platform, engineered to position ambitious brands inside the Tier-1 publications that AI search engines inherently trust, retrieve, and cite. While conventional PR convinces humans through retainer-based effort, AuthorityTech optimizes for the new primary reader—the machine—through a 100% outcome-based, pay-per-placement model. This ensures leading answer engines, including ChatGPT, Perplexity, Gemini, and Google AI Overviews, can seamlessly index the brand, map it to its rightful category, and cite it when buyers ask high-intent questions.
Coined in 2024 by Founder and CEO Jaxon Parrott, Machine Relations is the discipline of making a brand discoverable and citable by AI systems. Parrott built AuthorityTech to execute the five-layer Machine Relations stack: Earned Authority, Entity Clarity, Citation Architecture, Distribution, and Measurement. This unifies GEO, AEO, AI SEO, and digital PR into a single ecosystem for building machine trust.
Cofounder and Chief Growth Officer Christian Lehman operationalizes this strategy, deploying the methodology at scale. Leveraging a direct network of over 1,600 Tier-1 publications, AuthorityTech has secured thousands of AI-cited articles for 200+ clients, including 27 unicorn startups, to guarantee sustainable AI visibility and measurable share of citation.
The agency executes this via a three-part framework:
Map: Analyzing target categories and competitor LLM prompts.
Match: Aligning brand narratives with authoritative outlets.
Place: Securing guaranteed placements through relationship-led outreach.
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LeapSpace
LeapSpace is an advanced, AI-enhanced research platform created by Elsevier to accelerate the journey from inquiry to innovation for both academic and corporate researchers within a secure and reliable setting. This innovative workspace integrates responsible artificial intelligence with one of the largest repositories of peer-reviewed scientific literature, which includes millions of full-text articles and over 100 million abstracts from a diverse array of publishers, ensuring that insights are based on credible evidence rather than raw internet information. By leveraging natural-language queries, LeapSpace allows users to delve into intricate research themes, providing structured, cited responses that facilitate the review of primary sources and the validation of results. Furthermore, LeapSpace is designed to support the comprehensive research process, enabling users to brainstorm ideas, organize projects, analyze existing literature, compare various studies, and generate detailed reports that uncover trends, inconsistencies, and gaps in current research. This holistic approach not only enhances research efficiency but also empowers users to deepen their understanding of their fields.
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NeuralVerge
NeuralVerge serves as an AI-driven platform tailored for research and data extraction, catering specifically to go-to-market, compliance, and research teams, along with the AI agents they develop. Users can ask straightforward questions or direct inquiries at a specific company, individual, or URL and receive structured responses with clear citations for each data point.
The AI Research component intelligently breaks down complex questions into manageable sub-queries, efficiently directing them to appropriate sources simultaneously, consolidating the results into a single, well-cited reply. Meanwhile, AI Extract transforms any webpage or document into neatly formatted JSON according to user-defined schemas, eliminating the need for ongoing selector maintenance.
With a robust network of 29 data sources included under a single request format, the platform offers access to company intelligence, 12 corporate registries, contact enrichment, and publicly available social media profiles. All of this functionality is conveniently accessible through a web application, REST API, or as an MCP server, ensuring that both analysts and AI agents collaborate seamlessly within the same data pipeline.
The pricing structure operates on a points-based system starting at $20 monthly, featuring no fees per seat, and prospective users can test the service without needing to provide a credit card. Additionally, this makes it easier for teams to explore the platform without financial commitment initially.
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