
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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Squaretalk is a powerful contact center solution that transforms how modern sales teams connect with prospects and customers, convert sales opportunities, and grow their operations. It offers AI Voice Agents, omnichannel communication (including voice, WhatsApp messaging, SMS, and email), powerful call-handling features, and affordable scalability without additional complexity or costs.
Squaretalk combines powerful communication tools with intelligent automation to help teams work more efficiently and deliver better customer experiences. Advanced call handling, automated transcripts, and sentiment analysis provide greater visibility into every conversation. The built-in contact management system keeps interactions organized and ensures no lead falls through the cracks. Flexible workflows can be customized to match specific operational needs, while advanced reporting tools offer actionable insights into team performance and business outcomes. Internal chat streamlines collaboration through instant communication, simplified mentoring, efficient escalations, and the consolidation of internal and external conversations within a single platform. Backed by enterprise-grade security, Squaretalk ensures that customer data remains protected and compliant.
With local numbers in over 150 popular and niche destinations, we enable businesses of all sizes to establish and maintain a local presence, build trust, support their global expansion, and shorten sales cycles.
Discover how Squaretalk’s cloud contact center platform can enhance your team’s connection rates and performance.
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Muse Spark 1.2
Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.
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Adyntel
With our API-powered ad intelligence, GTM teams can easily import ad data into Google Sheets or Clay workflows for a streamlined approach to managing marketing efforts. Marketing and sales teams use the data to score leads and identify prospects, using it as an indicator of marketing budget allocation. Paid-media teams benefit from the solution for competitive research, benchmarking, and gathering creative inspiration, enabling them to refine strategies and maintain an edge in the marketplace.
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