ThirdEye has hands-on expertise in Azure OpenAI services and popular LLMs like GPT, Llama, PaLM, Dall-E, Gemini, Claude, and NeMo. We develop custom AI models using our years of experience in various NLP & Machine Learning technologies, and leverage the capabilities of pre-built LLMs to build intelligent enterprise applications.
We use the following pre-built large language models or LLMs for building enterprise-ready generative AI applications:
We infuse the capabilities of LLMs to the enterprise applications by using the following tools:
We manage enterprise data and their security with the following tools:
At ThirdEye Data, we have built some generative AI-powered applications which are relevant and impactful in solving real-world AdTech or Marketing industry problems. These applications have achieved proven success results in scaling up and enhancing operational efficiency while delivering enterprise-grade security and management capabilities.
Manufacturing | Retail | Healthcare | IT | Legal | BFSI | EOG | Travel | AdTech | HR & Recruitment | Telecom
Data-Driven Marketing
Our OpenAI-based application can create targeted marketing campaigns based on customer data and preferences, which leads to increased engagement and conversion rates.
Domains: Retail, Insurance, Travel, AdTech
Know Your Customers
Generative AI models are leveraged to perform sentiment analysis on various types of text, such as customer reviews, social media posts, or support tickets.
Domain: Retail, HR, AdTech
Get Going With Your Work
Digitize documents, find relevant information through Semantic or Cognitive Search, and summarize them (e.g. legal document summarization).
Domains: Retail, EOG, Healthcare, Legal, Finance, AdTech
Place Ads Smartly
This generative AI solution can optimize ad campaigns by analyzing user data, bid cost in real time and buying advertising space on platforms where potential customers are most likely to see the ads.
Domain: AdTech and Marketing
Boost Sales
This generative AI model analyzes data on user preferences, buying pattern, browsing and search history to recommend products to boost sales.
Domains: Retail, E-commerce, Food, AdTech
Get More Conversions
With LLMs and ML models, this solution can engage with potential customers on websites or social media, via emails, chats, and calls, qualify leads, and nurture them through the sales funnel.
Domains: AdTech and Marketing
No worries; we deliver custom generative AI solutions to meet unique business needs. Feel free to share your requirements with our generative AI experts.
OpenAI and Azure OpenAI services provide powerful natural language processing (NLP) capabilities, including language generation, language translation, sentiment analysis, question answering, and more. These services leverage advanced machine learning models to understand and generate human-like text.
OpenAI provides APIs and SDKs that can be easily integrated into existing applications and systems. Azure OpenAI services offer various deployment options, including REST APIs, SDKs for popular programming languages, and integration with Azure services like Azure Functions, Azure Logic Apps, and Azure Cognitive Services.
The pricing for OpenAI and Azure OpenAI services varies based on factors such as the type and volume of usage. OpenAI provides detailed pricing information on their website. Azure OpenAI services follow the Azure pricing model, which offers different pricing tiers and options for scalability and usage.
OpenAI and Azure OpenAI services may have certain usage limitations and restrictions. These can include rate limits on API calls, usage quotas, and guidelines for acceptable use. It is essential to review the specific terms and conditions provided by OpenAI and Azure for detailed information.
OpenAI provides various options for customization and fine-tuning of their models. For example, OpenAI's GPT-3 model can be fine-tuned on specific tasks and domains. However, the level of customization may vary depending on the specific model and service.
OpenAI and Azure prioritize data security and offer robust security measures. They implement industry-standard security practices to protect data and models, including encryption, access controls, and compliance with data protection regulations. It is recommended to review the security documentation provided by OpenAI and Azure for specific details.
Compliance requirements may vary depending on the industry and specific use case. OpenAI and Azure have implemented measures to comply with various regulations and standards. Azure, in particular, offers a wide range of compliance certifications and adheres to strict data protection and privacy regulations.
OpenAI and Azure provide highly scalable and reliable services. They leverage the power of cloud infrastructure to handle varying workloads and offer built-in features for scalability, load balancing, and fault tolerance. Azure specifically provides robust SLAs and guarantees high availability for their services.
OpenAI and Azure provide comprehensive documentation, guides, tutorials, and sample code to assist developers and administrators in using their services. They also offer support channels such as forums, community groups, and technical support options to address any queries or issues.
OpenAI and Azure provide comprehensive documentation, guides, tutorials, and sample code to assist developers and administrators in using their services. They also offer support channels such as forums, community groups, and technical support options to address any queries or issues.
If any of the above-mentioned models are aligning with your need, please request for a FREE demo to understand it closely.
We have built and trained our models based on some common industry use cases. Enterprises can deploy our pre-built models based on their business goals, or they can hire us to build a custom generative AI application from the scratch.
Kindly share some details with us for communication purpose.
