Our conversational AI assistant Fiddy automates feedback collection, ensuring regular interactions with employees.
Fiddy accepts feedback in various formats, allowing employees to express their thoughts comfortably.
Each employee has a secure portal to capture performance data, ensuring maximum privacy and control.
Seamlessly integrate FidForward with your existing HR systems for a streamlined performance management process.
Generate customized reports based on feedback, helping organizations understand employee sentiments better.
Experience a proactive approach to performance management that boosts both quantity and quality of feedback within 30 days.
BlinqIO is an innovative start up company leveraging generative AI into the software testing world. The BlinqIO Virtual Tester (BVT) is a human-like tester that receives test scenarios and executes them using decision-making governed by AI, while generating on-the-fly test automation scripts for future executions.
Search API and web interface for semantic search over a vast collection of scholarly publications and books. It is also enhanced by RAG, allowing the generation of short snippets based on found results in one step.
The first ChatGPT alternative created for collaboration. Facilitate access to ChatGPT to everyone in your organization, collaborate with shareable GPTs, and save in subscription costs by just paying by usage. Free, private-friendly and proudly open source.
An innovative platform where AI vocalists can perform original songs or cover hits with unique voices synthesized through neural networks.
Watch otto-Bot effortlessly handle the workload of three full-time employees. Get otto-Bot, the world's first AI security analyst, on your team and witness its mind-blowing AI capabilities firsthand!
My Own Assistant utilizes cutting-edge AI technology to streamline the restaurant reservation process, offering users an efficient way to secure tables. With chat bot and timely reminders, we aim to enhance the dining experience.
Finetune LLaMa2-7b for chat towards any language (that isn't English). The rationale behind this is that LLaMa2 is trained on primarily English data and while it works to some extent for other languages, its performance is poor compared to English.