Unlock Your Information's Potential with ConversifAI

Conversifai was founded to transform how businesses access and interact with their data. We leverage cutting-edge Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to turn your static data (like product manuals, HR documents, or FAQs) into dynamic, conversational AI experiences.

We address the inefficiencies and frustrations of traditional data retrieval. Instead of sifting through documents, your team and customers can get instant, accurate answers by simply asking questions in natural language.

Our robust RAG pipelines are the key. They significantly reduce AI "hallucinations" (making things up) by grounding responses in your actual data. This means more accurate, trustworthy answers. Plus, unlike many platforms, your data remains confidential and is not used for future model training.

We offer tailored solutions for small to medium businesses, including:
• Product Manual Assistance: Make product manuals interactive and easy to query.
• Internal Documentation Access: Simplify access to HR policies, procedures, and other internal knowledge.
• Customer Support Enhancement: Provide instant, accurate answers to customer queries using your existing data.
• Multi-Channel Integration: Deploy chatbots across your website, apps, Slack, Microsoft Teams, and more.

Conversifai chatbots offer a dynamic, interactive experience. Users get:
• Instant, precise answers: No more sifting through lengthy documents.
• Contextual understanding: The AI understands the nuances of questions.
• Increased engagement: A more natural and satisfying way to find information.
• Reduced frustration: Quick access to what they need, when they need it.

By providing instant, accurate responses 24/7, our chatbots guide customers, assist with decisions, and answer queries without wait times. This creates a seamless user experience, increasing satisfaction and potentially conversion rates.

Absolutely! Our chatbots are highly effective for internal use. They can help employees quickly find HR information, understand internal processes, and access shared knowledge, improving efficiency and internal communication.

Our solutions are designed for seamless integration. We use a REST API, allowing easy connection to your existing platforms like websites, mobile apps, Slack, and Microsoft Teams. Our team can also support deployment in these common channels.

The entire process, from initial consultation to full implementation, generally spans 6-8 weeks. This includes Proof of Concept, testing, refinement, and deployment.

We follow a structured approach:
1. Consultation: We meet to understand your specific needs and data.
2. Statement of Work (SoW): We draft a detailed plan outlining functionalities and data sources.
3. Proof of Concept (PoC): (2-3 weeks) We build a demo environment for your team to test and provide feedback.
4. Testing & Refinement: (2-4 weeks) We collaborate with you to refine the chatbot, using your feedback and our proprietary testing models.
5. Implementation: (Within 2 weeks) We deploy the refined solution on your chosen platforms via REST API.
6. Ongoing Support: You receive a free first month of support, followed by a monthly subscription for continued use, updates, and improvements.

Yes, our chatbots are designed for flexibility. Using our REST API, they can integrate with various CRM systems (e.g., Salesforce, HubSpot) and customer support platforms, ensuring a cohesive experience.

Our RAG-based system makes updating the knowledge base straightforward. You can schedule updates as needed, ensuring your chatbot always has the latest company data, policies, and product information.

Yes, Conversifai chatbots can be configured to support multiple languages. We'll discuss your linguistic needs during the consultation phase to ensure broad accessibility for your users.

Yes, our solutions are built to scale. Whether you're a small business or growing rapidly, our chatbots can handle increasing interaction volumes and data requirements smoothly.

Security is paramount.
• Our solutions are hosted within AWS environments, benefiting from industry-standard security.
• We use API calls that process data in real-time, preventing your data from being stored for future AI model training. Your data remains confidential.
• For document sharing, we provide enterprise-grade encryption in transit and at rest, configurable access controls, and audit logging for robust cloud-based file sharing with the ability to control and revoke access.
• Our RAG processing infrastructure uses secure AWS services to manage vector databases with appropriate access controls.
• We can also implement filters to prevent sensitive information, like PII, from being accessed or processed by the chatbot.

We work closely with you to understand your industry's compliance and regulatory requirements. The chatbot can be configured to ensure data handling, security measures, and user interactions meet these specific standards.

Pricing is tailored to your company's specific usage, size, and update frequency. We start with a $1000 demo fee for the Proof of Concept (PoC) phase. After successful PoC and a free first month of production use, a monthly subscription covers continued use, updates, and ongoing support.

Yes, our $1000 Proof of Concept (PoC) phase acts as a trial. It allows you to experience a preliminary version of the chatbot, test its capabilities with your data, and provide feedback. If you proceed to full deployment, the first month of live use is free.

We offer comprehensive email and phone support throughout the setup process and beyond. Our ongoing support includes regular check-ins, performance monitoring, updates, and around-the-clock assistance for any issues or improvement requests.

RAG is an advanced AI approach that combines retrieval (finding relevant information from your specific documents) with generation (creating a natural language answer using that information).

How it works: When a user asks a question, RAG first searches your data to find the most relevant text chunks. Then, it uses a Large Language Model (LLM) to generate a coherent, informed answer based only on those retrieved chunks.

Key Benefits:
• Reduces Hallucinations: By grounding answers in your actual data, RAG significantly minimizes the risk of the AI inventing information. If it doesn't know, it will say so.
• Contextual Accuracy: Ensures responses are highly relevant to the query and your specific knowledge base.
• Dynamic Adaptability: Easily incorporates new information by updating the document base, keeping the chatbot current without needing to retrain the entire LLM.

We cater to small to medium businesses across all industries. Any business with data that needs to be more accessible and interactive can benefit, including retail, healthcare, finance, education, and technology.

We use a combination of metrics, including proprietary RAG performance measures (evaluating retrieval and generation quality), user satisfaction scores, engagement rates, and the efficiency gains in support or information access. We continuously analyze these to optimize performance.

We are dedicated to continuous improvement. A key upcoming feature is an admin panel that will allow business administrators to easily view, manage, and update the documents included in their chatbot's knowledge base, offering greater transparency and control.