BIFI operates in the SaaS space in Germany, focused on translation technology. The company needed a platform capable of applying cognitive and AI-driven techniques to translation memory management.
Client location
Industry
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Focus area
The challenge
Traditional translation memory tools rely on straightforward matching of previously translated content, but BIFI wanted to bring a more intelligent, cognitive approach to how translation memory was stored, searched, and applied. This required going well beyond a standard database-driven translation tool.
Building a cognitive translation memory system meant integrating artificial intelligence and advanced search capabilities into the core of the platform, rather than treating them as add-on features. This raised the technical complexity of both the architecture and the search infrastructure significantly.
BIFI needed a technology partner comfortable working across AI, search infrastructure, and modern web application development simultaneously, to deliver a platform that could stand out in a specialized SaaS category.
What did
Assystant do
Assystant developed and deployed a web application for BIFI using React, Django, and AWS, with Redis for performance and Solr powering advanced search, combined with artificial intelligence capabilities and UX design in Figma.
- Built a cognitive translation memory platform with AI-driven capabilities
- Implemented Solr to power advanced search across translation memory
- Used Redis to support platform performance at scale
- Designed the user experience in Figma before development
The combination of AI, Solr-based search, and a React and Django architecture gave BIFI a translation memory platform built for intelligence and speed rather than simple keyword matching.
The results
- Delivered a cognitive, AI-powered translation memory platform
- Enabled advanced search through Solr integration
- Improved platform performance using Redis
- Designed a purpose-built UX in Figma
- Positioned BIFI with a differentiated SaaS offering
