Build custom LLMs in days not months
Train, deploy, scale, and maintain generative AI models, in a safe and intuitive environment
Build Custom LLMs
in days not months
Train, deploy, scale, and maintain generative AI models, in a safe and intuitive environment.
Scale LLMs Effortlessly
Seamless training, deployment, and optimisation for generative AI transformation.
Generative Ai
Infrastructure Suite
Elit pellentesque pretium vitae euismod magna non quis nibh faucibus egestas quis malesuada. Egestas nisl pulvinar maecenas rutrum. Odio id interdum sit tristique.
Model-Agnostic
Pre-trained OS model collection supports fine-tuned models with enterprise-specific data, enabling you to choose any model tailored to your individual use cases
Automated annotation
Smart labels
State-of-the-art RAG
Comprehensive, secure, and responsive file interactions, including on-premise embeddings and vector databases, alleviate data privacy concerns
Sentiment analysis
Language processing
Auto-Scaling
Automated resource adjustments to cope with peak loads, assuring uninterrupted application performance
Automated annotation
Smart labels
Robust API Endpoints
Word-by-word output streaming and dynamic request batching to ensure a smooth API integration with strict standard compliance
Sentiment analysis
Language processing
Learn how GPT works
1. Upload your data
Massa proin morbi malesuada et facilisis felis leo. Nulla pretium magna dictum sed lorem.
2. Train the model
Tristique aliquam pellentesque mi non etiam morbi. Mi risus ipsum sed et sed est et. Lacus.
3. Get results
Non sed massa praesent enim amet lacus nisl. Libero vitae consectetur id tellus quis cursus.
The Quartet of Blox
Fast Deployment
Efficient infrastructure accelerates the path from model development to production, ensuring faster and more streamlined deployment.
Cost Efficiency
Cost-effective LLM scaling through intelligent resource management and auto-scaling, suitable for organizations of any size.
Security & Privacy
Data privacy and security are our top priorities. We offer enterprise-grade security features to safeguard your data and models.
On-Premise & Multi-Cloud
Avoid any vendor lock-in using our multi-cloud orchestration for smooth cross-cloud operation. We can deploy directly to your cloud for full compliance and risk mitigation.
FAQs
Can your team do an On-Premise deployment?
We enable direct deployment in your private cloud infrastructure, including AWS, GCP, or Azure. For strict security requirements, we can create a secure gov-cloud environment to meet elevated security standards
Does your system consistently surpass GPT-4's capabilities?
While our model may not outperform GPT-4 in all computational tasks, it excels in specific niches. Unlike GPT-4, known for its versatility in applications like Claude or Bard in conversational AI, our model specializes in fine-tuning for tasks such as Insurance, Finance, Enterprise Data Management, Legal frameworks, and tailored corporate needs like Customer Support Services and Code Assistance, delivering enhanced efficiency and results in these domains
What does "OpenAI API compatible" mean?
This aligns our API's architecture with OpenAI's, ensuring a smooth transition for users migrating from OpenAI. Our compatibility minimizes the need for modifications to existing integrations, making it easy to work with OpenAI's established protocols, function calls, and data handling methods
What is the typical duration for the onboarding process?
We aim to provide a fast and tailored onboarding experience for open-source LLMs, typically taking just a few days, depending on your data size and specific needs, as well as the readiness and complexity of your infrastructure
What range of data sources is your system compatible with?
Our system's versatility arises from its integration with LlamaIndex, expanding our support range. If a data source lacks an open-source connector, we promise custom development to seamlessly integrate your unique data streams
What mechanisms are in place to maintain the contemporaneity of my data?
Our innovative technology ensures data currency through monitoring CRUD operations or a one-time data encoding process, reducing unnecessary processing costs for efficient data management
Which LLMs are accessible through your platform?
We accommodate a diverse array of LLMs, including but not limited to Azure OpenAI, OpenAI, Anthropic, Bard, and LLama. Our platform is compatible with any specified inference endpoints
What is Blox QT-32K Model?
Leveraging the foundational structure of the llama2 70B model, we extended its pre-training phase, incorporating and experimenting with methodologies established by Chen et al & YaRN. This strategic enhancement is aimed at expanding the model's context comprehension capabilities, significantly extending its original 4K token limit to 32K tokens.
Who should this be helpful for?
Our product is designed for developers and enterprises using LLMs in specialized applications. It improves AI precision and relevance for sector-specific solutions.
How do you manage data privacy concerns, and is client data utilized for model refinement?
We strictly protect user data, never retaining or reusing it for model improvement to maintain confidentiality and compliance with data protection regulations in AI
Use cases
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur sint occaecat cupidatat non proident, sunt in culpa qui.
Text classification
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur sint occaecat.
Sentiment analysis
Language translation
Language processing
Content moderation
Image classification
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur sint occaecat.
Color histogram
Shape features
Texture features
Object detection
Hear what they say about us
John Carter, VP of Growth at Google
“GPT X improved efficiency and accuracy in our manufacturing process”
Sophie Moore, VP of Sales at Twitter
“GPT X recognition improved speed and accuracy of inventory management”