Pipedrive is a powerful CRM and sales pipeline management platform designed to help businesses track and optimize their sales processes. The platform offers automation tools, AI-powered sales insights, and real-time reporting to help businesses close deals faster and more effectively. With customizable workflows, integrations with a wide range of apps, and an intuitive interface, Pipedrive supports sales teams of all sizes in managing leads, automating repetitive tasks, and monitoring performance for smarter, data-driven decisions.
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Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically.
JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines.
A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.
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Ferret
An advanced End-to-End MLLM is designed to accept various forms of references and effectively ground responses. The Ferret Model utilizes a combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which allows for detailed and flexible referring and grounding capabilities within the MLLM framework. The GRIT Dataset, comprising approximately 1.1 million entries, serves as a large-scale and hierarchical dataset specifically crafted for robust instruction tuning in the ground-and-refer category. Additionally, the Ferret-Bench is a comprehensive multimodal evaluation benchmark that simultaneously assesses referring, grounding, semantics, knowledge, and reasoning, ensuring a well-rounded evaluation of the model's capabilities. This intricate setup aims to enhance the interaction between language and visual data, paving the way for more intuitive AI systems.
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KaarbonTech
KaarbonTech serves as an innovative tool for managing infrastructure assets, transforming geographic and inspection data into actionable insights that enhance decision-making and mitigate risks for highway networks and associated assets. By linking assets with their environments, it provides users with a comprehensive, data-oriented perspective on condition, usage, and maintenance requirements, thereby facilitating the validation of asset conditions, auditing of fieldwork, and the creation of precise asset inventories that ultimately boost productivity, maintenance standards, and work efficiency. The platform features tailored modules like Gully SMART for monitoring drainage conditions and flood risks, Tree SMART for assessing tree health, Grass SMART for managing greenspaces, and Grit SMART for tracking grit bin usage and public interference. Additionally, its robust map-based visualizations and seamless data integration empower organizations to engage in proactive maintenance planning while ensuring effective communication between office and field teams with up-to-the-minute information. This dynamic approach not only streamlines operations but also fosters a more sustainable management of public assets.
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