10X faster & 10x more cost-effective due to the Lazy AI platform.
Your business is unique, so your solution should be unique too.
No vendor lock in. You own your software.
A global gaming company needed a way to quickly retrieve data from their vast, complex database system. By utilizing a custom-built agent, they were able to access, query, and extract critical information from multiple data sources, including Google Cloud, Oracle, and MongoDB. This streamlined data access, saved time, and enhanced overall productivity.
A social media marketing agency sought to gain more accurate insights from their campaigns across multiple platforms like TikTok, Instagram, and YouTube. They deployed a custom marketing analytics agent to analyze performance data and provide real-time reports, reducing manual tracking and increasing campaign effectiveness.
An SEO company was spending too much time resizing images and generating alt tags for client websites. By implementing an image resizing and alt tag generation agent, they automated these processes across multiple platforms, including WooCommerce, Google, and Magento, significantly reducing their workload while improving SEO performance.
A SaaS company needed an efficient way to sift through their expanding knowledge base. They used an AI-driven search agent that integrated with platforms like HubSpot, Zendesk, and Intercom, enabling quick access to answers and streamlining customer support queries.
A popular dating app company required a solution to moderate in-app chat messages more effectively. They developed a custom moderation agent using MongoDB, Intercom, and HubSpot to filter inappropriate content automatically. This improved user experience and kept the platform safe for users.
A global e-commerce company was struggling to consolidate data from various platforms like Shopify, WooCommerce, and Oracle. With the help of a custom-built multi-complex consolidation agent, they were able to merge and process data across platforms effortlessly, reducing operational inefficiencies and improving decision-making.
A real estate company wanted to prioritize incoming leads more efficiently. They used a lead scoring agent that integrated with tools such as Gmail, Redfin, and Microsoft Outlook, allowing them to score and organize potential leads based on key criteria, leading to improved follow-up strategies and more closed deals.
A mobile game company needed to monitor user activity and logs to identify performance issues. They implemented an AI-powered search agent that scans logs from Google Cloud, HubSpot, and MongoDB to detect and resolve issues faster, enhancing the user experience and reducing downtime.
✅ You don't just get code and a working agent from us. You get access to the Lazy AI platform, which enables you to modify and make changes to your software solution yourself with prompts. No need to talk to an engineer.