1
FocusIQ
AI & Machine Learning Operationalization (MLOps) Software
Simplifying e-Commerce Analytics with AI
- Revenue
- $1.3K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 1
- Location
- Spain
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Founded 2023
Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as FocusIQ, FocusIQ and FocusIQ. These GymBuddy.ai competitors have raised - and together serve more than 6K customers and employ over 166 team members.
AI & Machine Learning Operationalization (MLOps) Software
Simplifying e-Commerce Analytics with AI
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Simplifying e-Commerce Analytics with AI
AI & Machine Learning Operationalization (MLOps) Software
Simplifying e-Commerce Analytics with AI
AI & Machine Learning Operationalization (MLOps) Software
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Nano Banana 2 is a next-generation 4K AI image generation and editing platform powered by Google Gemini technology. It features revolutionary self-correction workflow that automatically plans, generates, analyzes, and fixes mistakes before finalizing images. Key capabilities include native 2K rendering with 4K upscaling, multi-image context understanding for coherent cross-image edits, and cultural context awareness trained on global geographic data. Create professional-grade 4K images with lightning-fast processing (under 10 seconds for complex prompts), improved character consistency, and enhanced text accuracy. Perfect for creators, designers, and professionals seeking error-free, high-quality AI-generated visuals.
AI & Machine Learning Operationalization (MLOps) Software
AI Translation for scanned and pdf documents. Founded in India, a land of rich languages, diverse cultures, and deep knowledge traditions, Lekhak.app is an AI-powered language and document intelligence platform built to make translation, transcription, and multilingual communication effortless for everyone—for businesses, professionals, institutions, and individuals. Built with a strong focus on Indian and global language accessibility, Lekhak provides a simple, accurate, and reliable alternative to fragmented OCR, translation, and document processing tools. By combining advanced AI with a deep understanding of complex real-world documents, Lekhak helps users seamlessly process scanned PDFs, images, legal files, educational material, travel documents, audio, and video content while preserving formatting, tables, layouts, and contextual accuracy. Designed for modern workflows, Lekhak enables users to translate, transcribe, digitize, dictate, summarize, and manage multilingual content in just a few easy steps. The platform supports Indian as well as international languages, helping organizations and individuals break language barriers across legal, education, government, healthcare, travel, and enterprise use cases. Lekhak is built for scale, reliability, and ease of use. Whether it is a scanned contract, a multilingual report, handwritten notes, subtitles, or audio conversations, the platform combines AI-powered OCR, contextual translation, speech recognition, and document intelligence into a unified experience that works across devices and workflows. With a growing global user base, Lekhak is trusted by professionals, SMEs, translators, educators, and enterprises looking for high-quality multilingual automation without the complexity of legacy software. The platform is continuously evolving to deliver faster processing, better formatting retention, stronger privacy standards, and more accurate language understanding across diverse document types. We believe language technology should be accessible, affordable, and intuitive. That is why Lekhak is designed to work for everyone—from individual users translating a single document to organizations processing thousands of multilingual files at scale. Premium and enterprise offerings unlock advanced capabilities such as higher processing limits, collaborative workflows, API integrations, priority support, and customized enterprise deployments. Welcome to Lekhak — where language meets intelligence, and documents become truly borderless.
