Hila Enterprise Platform

Description

The Hila Enterprise Platform is designed to make generative AI truly useful for businesses by providing the essential components that go beyond basic LLMs. Recognizing that LLMs alone do not solve complex business problems and are prone to hallucinations, Hila offers a comprehensive solution for enterprise-grade AI.

At its core, the platform focuses on content, not code, enabling customization to user and company preferences, as well as integration with company-specific data. A key differentiator is its anti-hallucination technology, which eliminates inaccuracies in GenAI outputs, particularly on structured data. This is achieved through a consortium of models that review and correct answers, alongside a text2sql pipeline that leverages multiple LLMs to ensure data integrity.

Hila supports local models through an extensible architecture that allows for swappable model integrations, enhancing privacy and performance. Its agentic approach orchestrates multiple models, both public and open-source, to automate complex tasks, such as advanced extraction of tables, charts, and metadata from vast document sets with superior accuracy and reduced costs. The platform also incorporates robust LLMOps for high-performance monitoring of cost, quality, variability, and reliability of LLMs within applications.

This LLMOps capability provides measurable returns on investment by monitoring key metrics. Hila Monitoring alerts users to deviations from norms and offers advanced features like root-cause analysis, data heatmaps, outlier analysis, and explainability. It tracks cost efficiency, answer relevance, response latency, and overall reliability. The platform is deployment-agnostic, working across all cloud types and technology vendors as a unified AI layer, ensuring security with data remaining private and behind firewalls, backed by SOC2 and ISO27001 certifications. Hila empowers users to ask unlimited questions with confidence, receiving accurate answers without hallucinations.

Hila Enterprise Platform's Core Features

• Content-based customization for user and company preferences.

• Anti-hallucination technologies for accurate GenAI on structured data.

• Support for local and swappable LLM models.

• Agentic approach for task automation and multi-model orchestration.

• Comprehensive LLMOps for monitoring cost, quality, variability, and reliability.

• Text2SQL pipeline with multiple LLMs to eliminate data hallucinations.

• Advanced data extraction from documents with high accuracy and lower cost.

• SOC2 and ISO27001 certified for data security and privacy.

• Deployment agnostic across all cloud types and technology vendors.

• Real-time monitoring with alerts for deviations and advanced analytics.

• Ability to ask unlimited questions with guaranteed accurate answers.

How to use Hila Enterprise Platform?

1. 1

   Configure: Customize the platform with user preferences and company-specific data.

2. 2

   Integrate: Connect local or public LLMs and other models via the extensible architecture.

3. 3

   Orchestrate: Utilize the agentic approach to automate complex tasks across models.

4. 4

   Monitor: Employ LLMOps for continuous tracking of cost, quality, and reliability.

5. 5

   Analyze: Leverage advanced monitoring features for root-cause analysis and explainability.

6. 6

   Deploy: Implement the unified AI layer across your cloud infrastructure.

7. 7

   Utilize: Ask unlimited questions and receive accurate, hallucination-free answers.

Hila Enterprise Platform's Use Cases

• Data Analysis
• Document Extraction
• Business Intelligence
• AI Application Development
• LLM Performance Monitoring
• Private AI Deployment

FAQ from Hila Enterprise Platform

• How does Hila Enterprise Platform prevent LLM hallucinations?

  Hila uses a consortium of models to review and correct answers, and its text2sql pipeline employs multiple LLMs to eliminate hallucinations on structured data, achieving up to 99% reliability in benchmark testing.

• What kind of customization does Hila offer?

  The platform allows for customization based on user and company preferences, as well as integration with company-specific data, focusing on content rather than code.

• Can Hila Enterprise Platform work with custom or local LLMs?

  Yes, Hila utilizes fine-tuned and local LLMs for enhanced accuracy, speed, privacy, and efficiency, supporting swappable models within its extensible architecture.

• What are the benefits of Hila's agentic approach?

  The agentic approach enables advanced extraction of tables, charts, and metadata from large volumes of documents with superior accuracy and a significantly lower cost, reducing expenses by up to 4x.

• How does Hila Enterprise Platform handle LLMOps?

  Hila provides high-performance monitoring for cost, quality, variability, and reliability of LLMs, analyzing billions of inferences with sub-second responses and enabling efficient processing of large datasets.

• What security measures does Hila Enterprise Platform provide?

  Your questions, answers, and data remain private and behind your firewall. Hila is SOC2 and ISO27001 certified, ensuring robust security for enterprise data.

• Is Hila Enterprise Platform compatible with different cloud environments?

  Yes, Hila Enterprise works across all cloud types and technology vendors, acting as a unified AI layer that is deployment-agnostic.

• What is the value proposition of Hila's monitoring capabilities?

  Hila Monitoring provides measurable, trackable returns on investment by monitoring LLM cost, quality, variability, and reliability, alerting users to deviations and offering advanced analytical tools.

• How does Hila improve the speed and efficiency of LLM operations?

  By analyzing over 200 billion inferences with sub-second responses and optimizing policies, Hila can process up to 1 billion records per day, offering up to a 10,000x improvement in some metrics.

• Can Hila Enterprise Platform handle structured data effectively?

  Yes, Hila provides a system that flexibly works across various structured data types, ensuring accurate and reliable AI outputs.