Gooey.AI for Frontline and the Trades
durch Dara Network Inc
Gooey.AI is the low code AI orchestration platform with all major models plugging into your systems.
Gooey.AI is an AI Workflow platform specifically designed to deliver AI tools to industries that rely on critical, complex, technical knowledge locked in documents, videos and other resources that are not easily leveraged by AI.
Gooey.AI is a model agnostic orchestration platform bringing together the best private and open source components of AI Workflows, all of which can be evaluated and “hot swapped” as needed for clients’ specific use cases.
Why Build AI Tools for Frontline Workers?
Not enough workers to fill jobs (need to increase efficiency)
Loss of institutional knowledge through retirement
Three-quarters (75%) of employers are struggling to fill job vacancies
More than 50 million workers quit their jobs in 2022, following the 47.8 million who did so in 2021.
Value Gooey.AI Delivers
Give frontline workers technical answers immediately, anywhere, on any device.
Provide page-level citations with links to give confidence.
Connect latest AI innovations to internal databases for parts or other info.
Point to the exact location of the answer in your library with page level citations
Portable - same functionality in a web widget, mobile app, SMS, voice call, Slack, WhatsApp, or any other environment
Model Independence
Single vendor unified billing
MultiModal - use photos, translation services, speech recognition, text to speech, and lipsync response
Conversation Analysis via AI, and Usage Analytics
Evaluation framework to test which LLM and other components are best for your use case
Ability to collaborate with colleagues and constituents via workspaces
Our AI Workflows can answer any technical question on any system, referencing your knowledge base of 100,000s of PDFs, Videos, and other materials. Vector embeddings and our synthetic data pipeline unlock all formats of reference material with page level citations to the sources, even interpreting diagrams and tables.