1. How does the platform accelerate time-to-insight compared to other AI solutions in the market?
View AI stands out by enabling organizations to move from raw enterprise data to actionable AI experiences in a matter of minutes, not months. Unlike traditional platforms that require extensive coding, specialized teams, and lengthy development cycles, View AI leverages its patented Universal Data Representation (UDR) technology to automatically process and structure data. This approach eliminates the need for data migration and manual preparation, so businesses can deploy AI-powered agents and assistants rapidly and start extracting value almost immediately. Users can connect to their data sources, have their information instantly indexed and organized, and begin querying or chatting with their data within minutes. The result is a significant acceleration in time-to-insight, empowering teams to make informed decisions quickly, without sacrificing data security or sovereignty.
2. How do you support both on-premises and cloud deployment, and what are the typical use cases for each?
The platform is designed with flexibility in mind, supporting on-premises and cloud deployments. On-premises deployment is typically chosen by organizations in highly regulated sectors, such as healthcare and government, where data sovereignty, air-gapped security, and compliance are critical. In these environments, enterprises can maintain full control over their infrastructure and sensitive data. Cloud deployment, on the other hand, is ideal for companies seeking scalability and managed infrastructures, such as those running large-scale customer-facing chatbots or analytics solutions. View AI also supports hybrid configurations, allowing organizations to align their AI strategy with their unique operational and security needs.
3. Which LLMs are supported in View AI, and how is the “most appropriate” one selected for a task?
View AI is model-agnostic, supporting a wide range of large language models including those from HuggingFace, Ollama, ChatGPT, Claude, and others. The selection of the most appropriate model for a specific task is driven by the requirements of the business case. View customers enjoy the flexibility to select the most suitable model for each task based on factors such as data or query complexity, latency requirements, and domain specificity. For example, smaller models like Mistral 7B are often used for real-time, high-frequency queries, while larger models like Llama 3 70B are chosen for more complex, nuanced reasoning tasks. Through the no-code AI Assistant Studio, users can attach a model to their ingested data to rapidly create and deploy an AI assistant. These assistants can be deployed – and updated – in real-time, giving the enterprise the ability to not only empower users, partners, customers, and employees with AI-powered experiences, but also fine-tune them non-disruptively over time.
4. What’s unique about View AI’s chat capabilities, especially in terms of contextual understanding and data accuracy?
View AI’s chat capabilities stand out for their ability to deliver highly contextual, accurate, and auditable responses. The platform combines unique, proprietary, and patent-pending retrieval-augmented generation (RAG) capabilities to pull data from connected enterprise systems, a reasoning layer that understands business-specific language and context, and advanced hallucination detection, which ensures responses are validated with confidence against source materials before providing an answer. The intelligent processing engine extracts metadata and semantic sections from enterprise data and constructs knowledge graphs, allowing for nuanced, context-aware responses. This ensures that every interaction is grounded in the organization’s actual data, minimizing misinformation and supporting compliance and traceability—crucial for enterprise environments.
5. How does View AI integrate with other enterprise platforms (e.g., CRM, ERP, BI tools)?
Integration with enterprise platforms is seamless thanks to View AI’s comprehensive suite of connector services, REST API, and software development kits (SDKs). Whether connecting with CRM systems to personalize customer interactions, ERP platforms to automate workflows, or BI tools to embed analytics, the platform is designed for interoperability. This makes it easy for organizations to embed AI-powered insights directly into the tools their teams use every day, streamlining operations and enhancing decision-making.
6. How do your patents and standards contributions influence View AI’s technology direction and credibility in the market?
View AI’s patented technologies, particularly in data representation, processing, and retrieval, are foundational to its rapid deployment capabilities and high data accuracy. These innovations not only underpin the platform’s technical strengths but also signal a commitment to advancing enterprise AI. The company’s active participation in the AI Platform Alliance ensures that its solutions meet the highest benchmarks for security, interoperability, and scalability. These patents and standards reinforce View AI’s credibility, especially in regulated sectors, and demonstrate a commitment to innovation, trust, and long-term enterprise value. Collaborations with partners such as Ampere Computing, HPE and Oracle further validate the platform’s robustness and market relevance. View AI redefines enterprise AI by merging speed, security, and adaptability—proving that rapid insights do not need to compromise data control or depth.
- About Joel Christner
- About View
Joel Christner, View Founder and CEO Joel Christner brings 25 years of experience in building technology products and companies, with dozens of patents and multiple books to his name. Before founding View, he was a distinguished engineer and director at Dell Technologies, where he led research in data management, distributed systems, as-a-service architectures, as well as DNA data storage where he chaired the workgroup that produced the first two SNIA standards for storing data on DNA. Christner has also helped lead several startups to successful exits and market leadership, including StorSimple (Microsoft), Reconnex (McAfee), and Cloudgenix (Palo Alto Networks).
View helps enterprises accelerate AI outcomes by transforming how organizations discover, process, and interact with their data on-premises and in the cloud while accelerating the development and deployment of assistants and agents. Its flagship product, View AI, delivers secure, instant insights by enabling users to connect to diverse data sources to deploy conversational AI agents in minutes—without complex coding or specialized teams. With its patented Universal Data Representation for intelligent processing, comprehensive APIs and SDKs for developers, and a no-code AI Assistant Studio for rapid deployment, View provides enterprise-grade security, compliance, and flexible, transparent pricing. The company is a member of the AI Platform Alliance.
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