- Cost Reduction
Trusted by the best: over 100 Fortune 500 companies choose Moveworks
Multi-LLM Strategy
Providing access to multiple LLMs
Different large language models perform better at different tasks. You get access to the highest performing models, including: OpenAI’s GPT-4 for search relevance, Google’s BERT for intent classification, and Meta’s RoBERTa for entity recognition.
Enterprise Data
Training models collectively
Most off-the-shelf LLMs are trained on public data, not your company’s data. Moveworks incorporates secure training data from 500M+ support tickets, 10B+ bot conversations, and 100M+ enterprise resources to ensure the language models understand the language of work.
Entity Grounding
Teaching LLMs your business language
To maximize factuality and minimize hallucinations from LLMs, you need to automatically send prompts to the LLM with content of your business. Moveworks automatically mines company specific entities (identity maps, distribution lists, conference room names, software catalog, etc.) and provides that information in every prompt.
Broadcom is resolving 57%+ of IT issues while seeing a 40% reduction in incidents with Moveworks
Model evaluation
Constantly swapping out models
New models come out every day and perform better at specific tasks than old models. Moveworks is deeply ingrained in the latest research and has access to models before they’re publicly released, meaning we are able to automatically swap them out to maximize performance and accuracy.
Model fine-tuning
Providing better model understanding
LLMs can’t be fine-tuned with your company data because most of them are too large to host on infrastructure. To perform better than LLMs at specific tasks in the enterprise, Moveworks fine-tunes smaller models with the language of work. This also results in lower latency for the end-user experience.
Model annotation
Improving model performance automatically
To get the most out of model performance, you need a team to constantly evaluate its performance. At Moveworks, we have a robust annotation operation where trained linguists securely review bot conversations and provide real-time feedback to the models.
Model infrastructure
Hosting models for optimal performance & speed
Calling large language model APIs for every natural language task can be costly and provide a poor latency experience. Moveworks has built proprietary model infrastructure to host smaller models that are fine-tuned, allowing for better performance and minimal latency.
Conversation experience
Handles fluid and dynamic conversation
Users speak naturally, and Moveworks understands. Whether it’s in any language, or the user wants to switch topics, or the user doesn’t know what they’re looking for, Moveworks handles the conversation in a delightful way.
Search and action reasoning
Provides users exactly what they need
Businesses have a sea of resources to answer questions: knowledge articles, forms, structured information in backend systems, workflows, and more. Moveworks leverages LLMs to decide the best answer or combination of answers to provide.
