We integrate AI into existing applications and build custom AI-powered tools for specific business problems. Our approach: combine AI with traditional development to get the best of both - intelligent features without the unpredictability and cost of pure AI solutions. We don't chase trends. We solve problems. Sometimes that means using embedded AI. Sometimes it means using AI to execute well-designed traditional tech stacks. We'll tell you which is right for your situation.
Sales teams were drowning in spreadsheets with 200,000+ location records. Finding relevant campaign targets meant hours of manual filtering and data analysis. We built an AI chat system using RAG and Meilisearch that turns conversational questions into intelligent database queries. Now sales reps ask questions in plain language and the AI searches the data and assembles campaign plans automatically. Complex analysis that used to take hours happens in seconds.
Building multi-page forms in a CMS required technical knowledge and repetitive configuration work, even for our own Freeform plugin users. We built an AI assistant that lives inside the CMS and composes forms through conversation. Users describe what they need, and the AI creates fields, layouts, validation rules, and conditional logic automatically. Forms that used to take 30-60 minutes to configure now build in 2-3 minutes of conversation.
A client wanted to build an iOS game but traditional development timelines and costs made the project impractical. We used AI to accelerate development, handling tasks that would have required significantly more traditional coding time. The game shipped within budget and timeline constraints that wouldn't have been feasible with traditional development alone.
Time tracking required manual categorization of every task, making accurate billing time-consuming and prone to errors from forgotten entries. We built a native Mac application that uses AI to automatically categorize and track time spent on different projects. The AI learns work patterns and suggests categorizations in real-time, eliminating manual time entry and improving billing accuracy.
Content editors working in Strapi CMS needed to edit and iterate on images but doing so meant leaving the CMS, using separate tools, and manually uploading multiple versions. We built Imagiterate, a Strapi plugin that brings AI image editing directly into the content management workflow. Editors can upload an image, prompt the AI to modify it, see the result, and keep iterating until they get what they need - all without leaving Strapi. The plugin saves every iteration as a media asset and automatically generates alt text using AI. We also exposed API endpoints so developers can build front-end applications that let end users edit images with AI prompts. Everything stays organized in Strapi's media library, and the entire editing history is preserved.
A recipe site was manually entering recipe data from photos and websites - hours of tedious copy-paste work for each recipe. We implemented AI-powered image parsing and web scraping that extracts structured recipe data from photos or URLs and loads it directly into the CMS with proper formatting. Recipe data entry went from manual hours to automated seconds, freeing the team to focus on content quality instead of data entry.
CAPTCHAs catch bots but miss human-entered spam - sales pitches, nonsense submissions, and junk that wastes time to review. We built an AI spam analysis feature for our Freeform plugin that lets customers write their own rules for what counts as spam and what doesn't. The AI evaluates each submission against those customized instructions and flags anything suspicious, explaining exactly why it was classified as spam. Form owners can configure the analysis per form using their own AI integration, getting intelligent spam detection that understands context instead of just blocking based on rigid rules.
An artist creating custom mosaics needed a way for potential clients to visualize possibilities before committing to a commission. Most people couldn't articulate what they wanted or understand what was possible with mosaic art. We built an AI tool that lets clients upload photos and receive design ideas for custom mosaics based on their images. The AI helps translate their vision into mosaic concepts, making it easier for clients to understand what they're buying.
We learned early that pure AI solutions can be expensive, slow, and unpredictable. We use AI strategically alongside other proven tools to build up comprehensive and scalable solutions.
LLM API calls add latency and ongoing costs. We design solutions that use AI where it adds real value and traditional logic where it's more efficient. You shouldn't pay per-query costs for something that could run locally.
Sometimes the best solution is a well-designed interface or traditional code. We'll recommend the right tool for your problem, even if it's not AI. We'd rather build something that works than something trendy.
Natural language processing, semantic search, and content generation open possibilities that weren't feasible before. AI excels at understanding unstructured data and adapting to user needs.
Document processing, data extraction, and classification tasks that used to require human hours can run automatically. Free your team to focus on work that actually requires judgment.
Turn technical interfaces into conversational ones. Help users navigate complicated product catalogs, configure complex systems, or find information in massive datasets without training.
Build AI capabilities that can evolve as models improve. Strategic integration means you can upgrade to better models without rebuilding your entire system.
Whether you know exactly what you need or you're exploring possibilities, we can help you figure out if AI is the right solution and what it would take to build it.