Find and compare the best Artificial Intelligence software for Bloomberg in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Bloomberg on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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HERE Enterprise Browser
Here Enterprise Inc.
2 RatingsEverything works right here™. The product of years of collaboration with the world’s largest financial institutions, HERE Enterprise Browser is the first and only browser that solves both enterprise security and workforce productivity. Built on Google Chromium, HERE streamlines workflow and improves employee experience. -
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Crawlbase
Crawlbase
$29 per monthCrawlbase allows you to remain anonymous while crawling the internet, web crawling protection as it should be. You can get data for your data mining or SEO projects without worrying about global proxies. Scrape Amazon, scrape Yandex, Facebook scraping, Yahoo scraping, etc. All websites are supported. All requests within the first 1000 days are free. Leads API can provide company emails to your business if you request them. Call Leads API to get access to trusted emails for your targeted campaigns. Are you not a developer looking for leads? Leads Finder allows you to send emails using a web link. You don't have to code anything. This is the best no-code solution. Simply type the domain to search for leads. Leads can also be exported to json or csv codes. Don't worry about non-working email. Trusted sources provide the most recent and valid company emails. Leads data includes email addresses, names, and other important attributes that will help you in your marketing outreach. -
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KServe
KServe
FreeKServe is a robust model inference platform on Kubernetes that emphasizes high scalability and adherence to standards, making it ideal for trusted AI applications. This platform is tailored for scenarios requiring significant scalability and delivers a consistent and efficient inference protocol compatible with various machine learning frameworks. It supports contemporary serverless inference workloads, equipped with autoscaling features that can even scale to zero when utilizing GPU resources. Through the innovative ModelMesh architecture, KServe ensures exceptional scalability, optimized density packing, and smart routing capabilities. Moreover, it offers straightforward and modular deployment options for machine learning in production, encompassing prediction, pre/post-processing, monitoring, and explainability. Advanced deployment strategies, including canary rollouts, experimentation, ensembles, and transformers, can also be implemented. ModelMesh plays a crucial role by dynamically managing the loading and unloading of AI models in memory, achieving a balance between user responsiveness and the computational demands placed on resources. This flexibility allows organizations to adapt their ML serving strategies to meet changing needs efficiently. -
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OpenAdapt
OpenAdapt
FreeOpenAdapt is a free desktop automation software that learns to streamline your desktop and online tasks by observing your actions. It captures your screen, keyboard, mouse movements, and, if desired, audio from your microphone, all stored locally on your device. The tool then processes this recorded information using various algorithms to create instructions and prompts suitable for AI language models. Before any data is uploaded, it is thoroughly cleansed of Personally Identifiable Information (PII) and Protected Health Information (PHI), and you will have the opportunity to review the sanitized data to ensure it is free of sensitive details. We prioritize your privacy by not storing or collecting any personal data, files, or recordings of your processes. OpenAdapt also integrates robust security protocols in its architecture to effectively protect API keys and payment details, providing users with peace of mind while using the software. This commitment to security and privacy ensures that you can automate your workflows without compromising your personal information. -
5
SiMa
SiMa
SiMa presents a cutting-edge, software-focused embedded edge machine learning system-on-chip (MLSoC) platform that provides efficient, high-performance AI solutions suitable for diverse applications. This MLSoC seamlessly integrates various modalities such as text, images, audio, video, and haptic feedback, enabling it to conduct intricate ML inferences and generate outputs across any of these formats. It is compatible with numerous frameworks, including TensorFlow, PyTorch, and ONNX, and has the capability to compile over 250 different models, ensuring that users enjoy a smooth experience alongside exceptional performance-per-watt outcomes. In addition to its advanced hardware, SiMa.ai is built for comprehensive machine learning stack application development, supporting any ML workflow that customers wish to implement at the edge while maintaining both performance and user-friendliness. Furthermore, Palette's integrated ML compiler allows for the acceptance of models from any neural network framework, enhancing the platform's adaptability and versatility in meeting user needs. This combination of features positions SiMa as a leader in the rapidly evolving edge AI landscape. -
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Emberos
Emberos
Emberos is characterized as an operating system designed for AI brand visibility that empowers brands to manage their representation within large-language models. This innovative platform oversees more than 50 AI models and employs a multi-agent structure comprising Scout for detection and risk monitoring, Pilot for strategy and optimization, and Flow for task automation and execution, transforming brand visibility signals into quantifiable increases. Users benefit from real-time surveillance of all prominent LLMs such as ChatGPT, Google AI Overviews, and Claude, and they receive a consolidated metric known as Share-of-Prompt that measures their brand's visibility. Additionally, they gain insights through a Tiered AI Visibility Index (TAVI), which provides predictive analytics regarding potential business effects and pipeline enhancements. The system seamlessly integrates with platforms like HubSpot, Slack, and Jira to facilitate automatic task creation and tracking, while also supporting a proprietary brand knowledge graph comprising over 600 brand insights for improved forecasting accuracy. Moreover, it features executive dashboards specifically designed to help track potential risks and enhance strategic decision-making. With its comprehensive tools and analytics, Emberos ensures brands remain proactive in managing their visibility in the rapidly evolving AI landscape.
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