Zero In speeds up the GenAI development process, enabling organizations to swiftly move from idea to use case to pilot, accelerating time to value. Backed by a high-performance, secure framework, Zero In delivers a 23% boost in accuracy and a 27% increase in relevance, ensuring precise and insightful outcomes.
Move from GenAI concept to use case to pilot within four to six weeks—developing custom solutions in less time and at a lower cost than traditional consulting engagements. Start with one use case and gradually expand to others or broaden the use case to additional internal and external user groups. The framework includes all the components and infrastructure needed for GenAI development, making it ideal for rapid experimentation.
MINIMIZE DATA RISKS
Zero In’s framework ensures a secure GenAI environment, providing data privacy options customized to specific use cases and security needs. Options include access to public LLMs, private LLMs, or on-premise deployments. You maintain complete control over the location of your data at all times, and whether you are accessing a public or private LLM, a comprehensive audit trail ensures transparency.
ENHANCE DECISION-MAKING
Maintaining high accuracy and relevance remains a challenge for GenAI models. Zero In addresses this with proprietary boosting techniques, enhancing output accuracy and relevance. Compared to public foundational models, Zero In delivers a 23% boost in accuracy and a 27% increase in relevancy in its outputs. These improvements have a transformative impact on content quality, providing better answers and enabling informed decisions that move businesses forward.
In GenAI, relevance and accuracy are closely intertwined but gauge different aspects:
- Relevance assesses how closely the AI-generated output matches your query.
- Accuracy refers to how truthful and factually correct the AI-generated output is.
Ideally, the goal is to achieve high relevance and high accuracy.
EXPLORE THE POWER OF SEMANTIC SEARCH TAILORED TO YOUR BUSINESS
Like public GenAI models, Zero In understands the context behind a search query rather than simply matching keywords. But it’s solely focused on your knowledge base and is optimized to return more accurate results.
Think of Zero In as a new team member: It starts by familiarizing itself with your business, learning from it, and evolving into a valuable assistant capable of understanding and answering your questions based on the data you provide.
GAIN INSIGHT INTO THE RELATIONSHIP BETWEEN DATA POINTS USING GRAPH KNOWLEDGE SEARCH
For deeper context, employ graph knowledge to explore the connections between entities. Graph offers a powerful way to understand the relationships between data points, leading to more efficient training and generating richer, more nuanced outputs.
Imagine you’re part of a team implementing a new ERP system and have a question about functionality—like how purchase orders integrate with inventory management—Zero In would display relevant manual sections and visually represent connections. For instance, a graph might show the purchase order linked to inventory management through “inventory update.” Additional resources, such as video tutorials or FAQs, would also be provided.
A FLEXIBLE FRAMEWORK THAT EVOLVES AS YOU DO
Zero In’s framework offers a foundational platform for further development. With its pre-built services, we assist you in the heavy lifting, assembling the components best suited to your initiative, and then customizing those components to meet your needs.
