Make your LLM the Copilot for your Enterprise Customer Service

• Consistency and Customization: We control the behavior of your enterprise chat/LLM so it answers users with your specific content
• Proactivity and Context-Awareness: We guide your users through your support procedures like onboarding, booking or purchasing
• Avoid the Disadvantages of Gen AI: We help prevent generic and inconsistent answers, outright hallucinations, and unnecessarily creative behavior
• Production-Ready: We produce enterprise models because we use finetuning, the most robust customization system for production-ready LLMs. Finetuning is more robust than prompting and safer than RAG-based search

• Proactivity: The Copilot requests the different pieces of information in an orderly, step by step manner that is simple for the user. The user provides one piece of information at a time:

• Process Awareness: The Copilot will structure the conversation into different stages: requesting flight information, gathering personal data, offering ticket options, payment, etc…

The Copilot can differentiate between items that can be ignored, like the Frequent Flyer program or seat preferences, and items that are essential, like flight dates

• Unstructured Input: Users can provide information as they like, with no need to adjust to the requests of the Copilot. The user can even provide her/his flight information with minimal structure:

• Backtracking: Users can change their minds at any point in the conversation and modify information they have already provided:

• Supporting FAQs: The Copilot can answer user queries, whenever they arise, to help complete the process. The Copilot is able to interrupt the flow of the process to answer user questions and then seamlessly recover control of the flow:

• Non-Relevant Queries: The Copilot can identify queries that are not related to the transaction, gently “deflect” them, and keep focus on the transaction flow:

• Hybrid Text: Curated Synthetic text that combines NLG technology & linguistic/expert curation
• Content Consistency: Guaranteed semantic equivalence. All variants generated are semantically equivalent, 100% guaranteed. No unnecessary content generated
• Hallucination free: 100% free from hallucinations or inconsistent generations, a “must” for enterprise use
• No Bias: Variants are tagged for bias, based on linguist-curated dictionaries, so LLMs can be trained to detect bias
• PII safe: Variants are tagged to avoid PII issues, using slots instead of actual data for full anonymity
• Colloquial / Formal: Adaptable to different types of speakers, both formal and colloquial 
• Cost-effective: the NLG methodology guarantees optimum balance between time and cost-effectiveness

• Increased Efficiency: By automating repetitive tasks, LLM allows staff to focus on more complex tasks, thereby optimizing time and resources
• Enhanced User Experience: Customizing LLM with Bitext ensures smooth and natural interactions, enhancing user experience across all business processes
• Quality and Consistency: Standardizing processes through LLM reduces human errors, ensuring quality and consistent service
• Engagement and Reach: LLM opens new channels of interaction, facilitating communication on users’ preferred platforms
• Conversational Automation: Customized LLM not only captures new business opportunities but also enhances customer retention through intuitive, self-service experiences
• Cost Reduction: Implementing AI significantly reduces operational costs while improving overall performance

• Industry-Specific Customization: Bitext datasets allow for the fine-tuning of LLM to suit any industry vertical, from finance and healthcare to retail and beyond. This ensures that the AI’s responses and interactions are relevant and tailored to the specific nuances and requirements of each sector
• Controlled AI Behavior: By using Bitext datasets, businesses can guide the behavior of LLM to align with their unique policies, terminology, and customer interaction styles. This control ensures that LLM’s responses are not just accurate, but also compliant with industry standards and company ethos
• Enhanced Data Integration: Bitext enables seamless integration of a company’s proprietary data with LLM. This combination enriches LLM’s responses, making them more relevant and valuable by leveraging the company’s own data insights and history
• Consistent Quality and Reliability: Fine-tuning LLM with Bitext datasets ensures consistency in the quality of AI-generated content, maintaining a high standard of reliability in customer interactions and internal processes
• Competitive Edge: Customizing LLM with Bitext datasets empowers businesses to stay ahead of the competition. The ability to provide industry-specific, data-driven interactions helps position companies as innovative leaders in their field
• Scalability and Flexibility: Bitext’s approach allows for scalable solutions that grow with the business. As a company evolves, its LLM model can be continually adapted and enhanced to meet changing needs and market demands