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Bonding people and AI to simplify business at scale

Enterprise AI Operating System Powered by xLLM, the LLM 2.0 Standard for Enterprises

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xllm

Simplicity, Efficiency, Security

AIOS Platform built for enterprises to scale

Speed to Value

Simplified AI infrastructure, multimodal agents, tools and powerful UI to accelerate implementation and ROI

Create your own LLM

Business automation with specialized LLMs, no hallucinations, real-time fine-tuning, explainable AI

Cost Efficiency & Security

GPU-free, fast, enterprise-grade security, safeguarding sensitive data with the highest industry standards

Focus on Business Value with Generative AI

Our platform let users and developers easily access, create, analyze and scale their information with AI models (xLLMs). With full control over data and superior performance.


Your Enterprise agent

AI Agent Multi-modal and multi-domain


Create AI at scale

xLLM Studio for business specialists to easily create and manage enterprise AI models


New-Gen of LLMs (2.0)

Proprietary AI/ LLM for Enterprise Data, real-time fine-tuning, explainable AI, no prompt engineering


Platform

Focus on business — our platform simplifies Generative AI with a secure, efficient and intuitive interface across multi-cloud environments

Your Enterprise agent

Your corporate AI, an expert in your business, trained with your data, acts precisely, capable of automating tasks, providing critical information and insights in real time, accelerating your productivity, in addition to generating images, videos and codes.

Create AI at scale

Accelerate adoption and results by empowering business experts to create and deploy their own AI solutions with security and management.

New-Gen of LLMs (2.0)

Develop and manage your own xLLM in a scalable way, with real-time fine-tuning in a secure way, Explainable AI, without hallucinations and without the need for GPUs.

Platform

Focus on the business, our platform simplifies the technological complexity of Generative AI infrastructure with a simple and intuitive interface, secure and across multiple cloud platforms.

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A Generative AI Platform built for Companies and their users

Regular User

BondingAI platform consumer who accesses, creates and executes day-to-day strategic and operational actions, based on AI-enhanced corporate data to generate value, efficiency, accurately, with better results.

  • Access all company information quickly
  • Perform transactional actions
  • Generate text, images, videos and code
  • Extract valuable insights from a prompt
  • Create predictive and prescriptive scenarios
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Power User

Business expert. Creates, manages and publishes AI-powered content, democratizes information, manages permissions, controls budgets and defines AI strategy in the business domain.

  • Create AI products
  • Train with your company data
  • Improve and optimize AI
  • Publish and scale easily
  • Securely manage business domains
  • Control costs and access
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AI Developer

Data scientist or machine learning engineer. Creates, evaluates, and tunes xLLM models in real time with BondingAI platform to develop optimized and scalable AI solutions.

  • Create an AI foundation for the business
  • Develop multi-xLLM models across workspaces
  • Evaluate and adjust in real time
  • Explainable AI
  • Integrate with chats, systems and other LLMs
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IT Administrator

The IT Administrator is responsible for managing the BondingAI platform at an enterprise level.

  • Infrastructure resource management portal
  • Module management
  • Access and security management
  • Multi-cloud
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The New Generation of Large Language Models for Enterprise

With xLLM, companies create and own specialized enterprise LLMs, fully personalized and secure. To scale your ROI, boost innovation, and efficiency deliver strategic value.

Key benefits of xLLM include

Accuracy

xLLM trains on your data at lightening speed to deliver precise, relevant, and actionable responses — free from hallucinations, with real-time fine-tuning and Explainable AI

Speed ​​and Security

Designed for fast in-memory processing, xLLM ensures that companies have access to information and insights, securely and with high performance

Cost-Effective

xLLM simplifies infrastructure operations and minimizes reliance on extensive computing and resources, providing enterprises with a cost-effective, efficient, and specialized Generative AI solutions

What sets us apart?

xLLM 
(LLM 2.0)

  • Explainable AI Foundation: Built from the ground up with a robust design. Smaller number of multi-tokens (standard and enhanced).
  • Prompt Engineering: Eliminates prompt engineering, using enhanced UI, structured output, customizable relevancy scores, and suggested alternate queries based on corpus.
  • Fine-tuning in Real Time: Supports real-time instant custom adjustments. Leads to reinforcement learning and self-tuning.
  • Data Retrieval: Intelligent contextual crawling and retrieval using multi-indexing, hierarchical chunking, un-stemming, and synonyms. Comprehensive retrieval, with option to retrieve content "as is" (not reworded).
  • Knowledge Manipulation: Uses intelligent contextual tracking to build or retrieve knowledge graphs and categories embedded in your enterprise data.
  • LLMs Integration: Integrates with other LLMs and custom applications. Built-in services for fraud detection, cataloging, clustering, synthetic data, predictive analytics, and efficient PDF extraction including multimodal.
  • Infrastructure: xLLM eliminates the need for GPUs, utilizing in-memory processing, ensuring scalability and cost efficiency.

Traditional LLMs (LLM 1.0)

  • Explainable AI Foundation: Relies on black-box deep neural networks (DNN) with billions of standard single-tokens, introducing noise. Requires intensive distillation.
  • Prompt Engineering: Requires extensive prompt engineering. Suggested prompts rely mostly on prompt logs rather than on corpus content.
  • Fine-tuning in Real Time: Typically requires re-training for adjustments. No relevancy scores shown to the user.
  • Data Retrieval: Single index recovery with limited context. Fixed-size embeddings and chunking is common. Partial retrieval is common. Can be difficult to find the exact source attached to results.
  • Knowledge Manipulation: Knowledge graphs are built on top of the model, do not exploit well the internal corpus structure. Difficult to retrieve the precise, exact wording in the corpus due to extensive rewording. Unstructured output is common.
  • LLMs Integration: Limited integration capabilities or calling external APIs (security issue).
  • Infrastructure: Typically relies heavily on GPUs or TPUs for training and inference, resulting in higher operational costs. Costly training focuses on predicting next tokens.

<span data-metadata="">Strategic partners

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