Scale Your Generative AI Enterprise Wide
Beyond Search is a Hybrid Gen AI solution that generate insights, automate tasks, and enhance decision-making while maintaining strict data privacy and control.

With Beyond Search, enterprises can seamlessly implement Hybrid and Private GenAI strategies.

Our AI chat assistant, combined with robust data management and integration tools, simplifies the deployment of multi-model LLM solutions. By streamlining the AI process, Beyond Search enables organizations to innovate and transform with confidence.

AI Chat Platform
Integrated AI Tools
Prebuilt RAG & Automated Workflow
Scalable Integration
Accelerates your Private GenAI with Beyond Search
We help propel your enterprise toward greater efficiency, innovation, and increased competitive advantage in a rapidly evolving AI landscape
Privacy and Security
Protect your sensitive data with our robust security features. Beyond Search offers private cloud deployment options to ensure your data remains secure and compliant with regulatory standards. Data Sovereignty: Maintain control of your data within your infrastructure.
Customizable and Flexible
Tailor Beyond Search to meet the specific needs of your industry. Our Beyond GPT, LLM solution can be fine-tuned with domain-specific data, ensuring high relevance and accuracy for your unique operational requirements. Industry-Specific Customization: Adapt the AI model to handle industry-specific terminology and data.
User-Friendly Interface
Empower your team with a low to no code platform that simplifies the management and deployment of Generative AI. Intuitive Interface: Easy for non-technical users to navigate and utilize. Rapid Deployment: Quick setup and implementation to get you started swiftly.
Advanced LLM Capabilities
Leverage cutting-edge LLM technology with features like Retrieval Augmented Generation (RAG) to provide accurate and contextually relevant responses, enhancing the reliability of your data and information insights. High Accuracy: Reduce errors with real-time data retrieval, contextual generation and answer grounding. Continuous Learning: Improve performance over time with integrated user interactions and feedback.
Embracing Private GenAI

Private GenAI models are emerging as the solution for enterprises facing data security, compliance and cost concerns. By shifting to locally hosted, Open-Source LLMs, businesses can fine-tune their AI solutions to their specific needs, improving compliance, data control, and cost efficiency. This approach offers the flexibility and security required for complex enterprise operations.

Discover more about Beyond Search
Scale your GenAI with Beyond Search 
Full Control
full control over model fine-tuning, data training sets, and reinforcement learning, allowing for highly accurate custom AI solutions.
Protected
Protects user privacy by ensuring that sensitive data is securely stored and processed, reducing risks associated with external data access.
Cost Efficient
Post-training inferences can be executed on CPUs, significantly lowering costs compared to GPU usage and reducing reliance on expensive token-based APIs.
Exclusive
Enables the ingestion and processing of internal documents and expertise, allowing enterprises to create proprietary AI applications tailored to their unique needs.
Use Cases
Our LLMs support mission critical processes across industries, providing significant value by automating tasks and  processes, enhancing decision-making, and improving customer interactions. Below are examples of how Beyond Search is utilized in different sectors.
Energy
Predictive Maintenance: Monitors and analyzes data from equipment to predict failures and schedule maintenance proactively.

Data Analysis: Assists in analyzing large datasets from energy production and consumption to optimize operations and reduce costs.

Example: Energy companies use LLMs to predict equipment malfunctions and optimize energy distribution, enhancing operational efficiency and reducing downtime
AI for Oil and Gas
Government
Public Services: Automates responses to citizen inquiries, processes documents, and provides information on government services.

Policy Analysis: Analyzes legislative texts, public feedback, and socio-economic data to support policy-making decisions.

Example: Government agencies use LLMs to streamline document processing and improve citizen engagement by providing quick and accurate responses to public inquiries
AI for Oil and Gas
Infrastructure
Urban Planning: Analyzes data from various sources (e.g., traffic, environmental sensors) to assist in city planning and infrastructure development.

Maintenance Management: Predicts infrastructure maintenance needs and optimizes resource allocation.

Example: Cities use LLMs to analyze traffic patterns, environmental impact, and public feedback to enhance urban planning and infrastructure management
GenAI for infrastructure
Manufacturing
Urban Planning: Analyzes data from various sources (e.g., traffic, environmental sensors) to assist in city planning and infrastructure development.

Maintenance Management: Predicts infrastructure maintenance needs and optimizes resource allocation.

Example: Cities use LLMs to analyze traffic patterns, environmental impact, and public feedback to enhance urban planning and infrastructure management
AI for Oil and Gas
Healthcare
Medical Research: Analyzes vast amounts of medical literature to assist researchers in identifying trends, correlations, and new insights.

Patient Interaction: Facilitates virtual health assistants that can answer patient queries, provide reminders for medication, and offer preliminary medical advice.

Example: A study showed that LLMs could analyze medical records and literature to provide insights that assist in diagnosing conditions and suggesting treatments, improving patient outcomes
AI for smart gates at border control
Finance
Risk Analysis: Analyzes market data, financial reports, and news to identify potential risks and opportunities.

Customer Service: Enhances customer interactions through chatbots and virtual assistants that can handle inquiries and transactions.

Example: Financial institutions use LLMs to streamline compliance checks, generate risk reports, and automate customer service, significantly reducing operational costs and improving service quality
Ai for smart cities and infrastructure
Get Started with Beyond Search

Ready to accelerate and scale your Gen AI enterprise wide? Contact us today for a demo and see how Beyond Search can revolutionize your business.

Arrange a demo with our GenAI team
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Frequently Asked Questions and Solutions

What is Hybrid AI?
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Beyond Limits' hybrid AI combines machine learning with symbolic reasoning to provide explainable, human-like decision-making tailored for industrial and complex environments.

What is Cognitive AI, and how does it differ from traditional AI?
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Cognitive AI mimics human reasoning by incorporating both data-driven learning and human expertise, offering explainable AI that helps users understand the "why" behind AI decisions.

Which industries benefit from Beyond Limits' AI solutions?
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Beyond Limits optimizes production, reduces operational costs, improves asset management, and provides predictive maintenance, making it ideal for complex industrial environments.

What is the benefit of Beyond Limits' hybrid AI approach?
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The hybrid AI model integrates data-driven machine learning with human-like reasoning, offering more accurate, explainable, and reliable outcomes for complex environments