California-based startup Weav has recently emerged from stealth mode with the introduction of its Enterprise AI Copilots. This suite of low-code, plug-and-play tools aims to revolutionize how companies build and utilize generative AI in their workflows. Weav’s offering comes at a time when enterprise teams are seeking simplified ways to integrate AI into their existing systems without the hassle of extensive building, training, deploying, and monitoring. With the Enterprise AI Copilots, Weav has set out to enable business users to easily activate AI within their workflows and witness tangible results.
A Game-Changer for Small and Medium-Sized Businesses
For small and medium-sized businesses (SMBs) that often face resource and staff constraints, a plug-and-play solution that streamlines AI integration could be a game-changer. Weav recognizes this need and provides enterprises with three key components through its copilots: ready-to-use generative AI capabilities, connectors to pull data from commonly used enterprise tools, and an API for developers to incorporate the capabilities into various workflows and applications. By pre-integrating all the necessary infrastructure components, including integrations, prompt management, foundation models, vector databases, security, and monitoring, Weav ensures that the capabilities remain seamlessly integrated and ready to use.
Weav’s copilots currently offer support for three main AI-driven functions: Document, Conversation, and Search. The Document copilot allows users to ingest unstructured data such as documents, images, spreadsheets, and JSONs. It then prepares and extracts key entities and values, enabling users to search, summarize, or assess compliance using natural language. The Conversation copilot takes it a step further by allowing users to interact with their data through natural language. By understanding users’ intent, it performs the necessary actions to complete tasks. Finally, the Search copilot enables contextual search across both unstructured and structured data sources using natural language and translates the search into appropriate native queries based on the data sources.
When data is processed or a user initiates an action, the Copilots orchestrate multiple processes in the backend. These processes include applying guardrails to protect users and data, querying embeddings in vector databases, searching knowledge bases, running queries on the database, and then composing the results to generate natural language responses using large language models (LLMs). Weav remains model-agnostic, offering support for OpenAI’s GPT-4, GPT-3.5, and Llama 2 out of the box, with on-demand integrations for other models. The seamless integration of copilots ensures that users can extract value from their unstructured and structured data efficiently.
Piloting Success and Future Plans
Weav’s plug-and-play technology is currently being piloted by several prominent companies, including a multinational management consulting firm, an F100 pharmaceutical conglomerate, and a fast-growing e-commerce platform. In these early stages of implementation, the copilots have delivered remarkable results, achieving precision ranging from 87% to 95% and delivering productivity gains and cost reductions of up to 75%. After securing seed funding in November 2022, Weav focused on scaling its platform for enterprise use. With the official launch of the copilots, the company is now shifting its focus to building its go-to-market and sales engines, aiming to onboard more customers.
Looking ahead, Weav plans to expand its offering by supporting additional models and developing core algorithms and a multi-modal foundation model. However, Weav acknowledges that the AI integration space is becoming increasingly competitive, with players like Dataiku and Databricks already assisting enterprises with generative AI deployment. CEO Peeyush Rai anticipates more companies joining the market, including big tech companies and internal IT organizations attempting to build their own solutions. To stand out in this landscape, Weav places emphasis on providing real business value and delivering the fastest time-to-value and lowest cost of ownership (TCO). Their promise to customers includes showcasing initial value within 2-4 weeks and facilitating production deployments within 4-6 weeks.
Unlocking the Potential of Generative AI
Generative AI has the potential to unlock significant operating profits for businesses. According to estimates from McKinsey, implementing generative AI could generate an additional $400 billion to $660 billion in annual operating profits for retail and consumer packaged goods companies alone. Weav’s Enterprise AI Copilots aim to enable businesses to tap into this potential by providing a simplified, efficient, and seamless integration of AI into their workflows. With its holistic approach and commitment to delivering value, Weav is well-positioned to drive the adoption of generative AI across enterprises.