CrankWheel allows you to share your screen while on a call. This makes it easy to create engaging presentations. You can send a link via email or SMS to the viewer and they will be able to view it in any browser on any device. CrankWheel was designed for simplicity and can be shared with customers to facilitate business deals.
CrankWheel can be used to complement calls from insurance agents, mortgage advisors and solar advisors as well as educators and customer support specialists.
CrankWheel is easy to integrate with websites and allows users to add a Demo button to receive quick notifications. We can show you if they are paying attention. Our Chrome Extension has enabled over 50,000 users to share their screens with prospects, regardless of their technical skills or device choice. CrankWheel can be used on old browsers and obscure devices, even with poor network connections. It works on Mac, Android, iOS, Blackberries, Internet Explorer, and Android.
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Pylon's intuitive design software allows you to create accurate proposals from anywhere, in less than 2 minutes. Pylon is the only software that allows you to view high-resolution imagery within your app. Pylon's award winning 3D Solar Shading toolkit helps you identify and track shading impacts throughout the year. Pylon's load profile analysis and interval data analysis will help you and your team to better understand customer consumption patterns. Analyze load profiles & interval data. You can close more solar proposals by using interactive Web & PDF proposals and native eSignatures. Fully integrated solar CRM that integrates with your solar design software to convert proposals. Pylon Solar CRM offers 2-way SMS and email communications, team management, lead management and pre-made deal pipelines.
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Laguna S 2.1
Laguna S 2.1 is an advanced open weight coding model that emphasizes long-term project completion and efficient reasoning capabilities. Featuring a 118-billion-parameter Mixture-of-Experts architecture, it activates 8 billion parameters for each token and accommodates a context window of up to one million tokens in both thinking and non-thinking modes. The model’s streamlined active size allows it to perform intricate tasks on local machines while still competing favorably against significantly larger models across various benchmarks, including terminal usage, software engineering, codebase question answering, and tool utilization. Designed for resilience, Laguna S 2.1 excels in tackling challenging assignments with enhanced persistence, meticulous verification, and a readiness to backtrack rather than prematurely claim success. In practical applications, it has successfully created and validated a browser rendering engine from scratch, optimized an agent harness for improved execution speed and reduced memory usage, and conducted extensive mathematical research using the available tools within its environment, demonstrating its versatility and effectiveness. This combination of features positions Laguna S 2.1 as a powerful tool for developers seeking innovative solutions.
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Galactica
The overwhelming amount of information available poses a significant challenge to advancements in science. With the rapid expansion of scientific literature and data, pinpointing valuable insights within this vast sea of information has become increasingly difficult. Nowadays, people rely on search engines to access scientific knowledge, yet these tools alone cannot effectively categorize and organize this complex information.
Galactica is an advanced language model designed to capture, synthesize, and analyze scientific knowledge. It is trained on a diverse array of scientific materials, including research papers, reference texts, knowledge databases, and other relevant resources. In various scientific tasks, Galactica demonstrates superior performance compared to existing models. For instance, on technical knowledge assessments involving LaTeX equations, Galactica achieves a score of 68.2%, significantly higher than the 49.0% of the latest GPT-3 model. Furthermore, Galactica excels in reasoning tasks, outperforming Chinchilla in mathematical MMLU with scores of 41.3% to 35.7%, and surpassing PaLM 540B in MATH with a notable 20.4% compared to 8.8%. This indicates that Galactica not only enhances accessibility to scientific information but also improves our ability to reason through complex scientific queries.
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