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9 tools found

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Viable

AskViable is a platform that uses AI to transform user feedback into actionable insights, offering text analysis, customer touchpoint analysis, and a beginner's guide to GPT-3. It leverages advanced AI to interpret qualitative data, making it a valuable tool for various industries

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Mutiny

Mutiny is a web personalization platform that uses AI to help B2B companies target and convert more buyers on their website by identifying visitors by their industry, company size, funnel stage, advertising campaign, and web activity, and providing a visual editor to change anything on the website or add a modal.

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B12.io

B12 is an AI-powered website builder that helps businesses create professional websites quickly and easily, with the option to refine it themselves or get help from design and copywriting experts.

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Nanonets

Nanonets is an AI-powered platform that extracts valuable information from unstructured data, automates complex business processes, and equips teams with the tools they need to make faster, more informed decisions.

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BLAZE

Blaze is a no-code platform that enables teams to build web applications and internal tools without writing code, offering intuitive drag-and-drop tools, AI-driven features, and security measures trusted by Fortune 500s and healthcare organizations

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Dynaboard AI

Dynaboard AI is a suite of AI functionalities that accelerate the process of building custom, production-grade software by automating the creation of data-rich UIs and forms, generating code and queries, and refactoring code and queries in any code or query editor

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Appypie

Appy Pie is a no-code development platform that uses Large Language Models to interpret app feature requests and convert them into functional features, making app creation accessible to those without coding expertise

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Replicate AI

Replicate is a platform that allows users to create and run customized, fine-tuned versions of AI models with simple lines of code.

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Lobe

Lobe is a machine learning platform that allows users to train custom machine learning models by showing examples of what they want the model to learn, and it can be shipped in their app.

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