Results for "Generative AI”
Generative AI
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StartupCraft builds high-quality SaaS and AI-powered mobile and web applications. With 9+ years of experience and 50+ engineers, we deliver scalable products using React, React Native, Node.js, and AWS. Clients include WorkAxle, Morpheus.Network, and Emajin.Golf.
Generative AI
Integrations
Social Networks
AI & ML Solutions
Mobile Apps
API
React.js
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RELEVANT TALENT
CASE STUDIES
FuturWise | React Native, React, Node.js, Apollo, AI, React Native, iOS/AndroidMany people today face "content fatigue" - the struggle of sorting through endless information sources to find relevant, reliable, and comprehensible knowledge. This challenge often leads to inefficient learning, wasted time, and missed opportunities for deeper engagement.
DATAFOREST – Product and Data Engineering company. We apply Data Science techniques along with Web Development to build for our clients’ custom data driven products, improve data management, optimize infrastructure. We have over 15 years expertise in business automation, large-scale data analysis and advanced software engineering.
Generative AI
Integrations
ERP
Databases
Data Analytics and Visualization
Conversational AI
Python
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CASE STUDIES
Real-Time AI Voice Agent for Cold CallingDeveloping a real-time voice-to-voice AI agent for cold calling, delivering human-like conversations, handling noisy environments, and integrating with the client’s CRM and ATS.
At Lengin, we specialize in connecting exceptional software developers with forward-thinking companies worldwide. Since 2019, we’ve grown into a thriving team delivering scalable and future-proof solutions to more than 100 satisfied clients. Our process ensures only top-tier talents join your team, supported by the tech lead and project manager.
Generative AI
CRM
AI & ML Solutions
Enterprise Software
ChatGPT
Banking & Trading Platforms
Node.js
More +
RELEVANT TALENT
CASE STUDIES
Full-Stack Development of Autobiography AI WriterAs OttoStory grew, it required rapid scaling to handle increasing user traffic, data input, and content creation. This included scaling the backend infrastructure, ensuring system performance and stability during peak loads, and making sure that the application could seamlessly accommodate more users and content over time without performance degradation.
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