Boost Your Contact Center Outcomes with Convin LLM
Elevate your contact center operations with Convin's custom-built, in-house Large Language Model (LLM), designed to transform how you manage customer interactions and call center processes.
Why Convin LLM?
Convin LLM outperforms leading models like GPT-3.5 by 40% and GPT-4 Turbo by 20%.
Excels in Indic and South Asian languages, including codemixed variations. Suited for multilingual environments where language mixing is common.
Convin LLM delivers superior performance at approximately 1/3rd the cost of traditional GPT models.
The language model is suitable for large-scale operations. It specializes in contact center tasks–focusing on improving agent-customer interactions.
How does the Convin language model transform your business?
Transcription accuracy and contextual understanding
- Our Contact Center LLM is a 7-billion parameters model.
- Designed and trained on over 200 billion tokens across 35+ Indic and South Asian languages, including codemixed data.
- The LLM handles complex, multilingual scenarios typical of our contact center market.
- Ensures representation of diverse linguistic patterns and dialects.
- Tailored approach allows the model to more accurately understand and respond to the nuanced language patterns.
- Customer-specific instructions and feedback loops significantly reduce hallucinations.
Language Model Developed In-house
- Instead of using pre-existing models like GPT, we built a custom solution tailored to your needs.
- In-house built language model allows customization and control.
- Allows Convin to implement client-specific ethical guidelines, regulatory compliance, and organizational values.
- Maintaining an in-house model ensures sensitive client information remains within a secure infrastructure.
- Convin LLM’s scalable architecture and efficient training strategies result in cost-effective deployment and operation, maximizing efficiency and scalability.
Enhance Agent Capabilities and Operational Efficiency
- Quick, accurate responses to customer queries, improving response times and consistency.
- Identifies and extracts critical information from conversations.
- Generates concise summaries of lengthy conversations for efficient knowledge transfer.
- Enables data-driven decision-making using predictive analytics for lead scoring, CSAT, and collection scores.
- Generates real-time insights into customer sentiments throughout the conversation.
- Suggests appropriate responses or generates draft replies, improving consistency and reducing response time.
Enterprise-Grade Privacy and Security
- Data processing on a robust in-house infrastructure ensures complete control over sensitive information.
- Advanced data protection measures like industry-standard encryption, strict access controls, and regular security audits safeguard data.
- Proactive measures like input filtering, output sanitization, and data anonymization prevent data exposure or misuse.
A team-wide solution
For Agents
Reduce handling time, allowing agents to assist more customers effectively.
Real-time insights into customer emotions and suggested responses help agents tailor interactions.
Automated summaries free up agents' time for more strategic tasks.
For Managers
Real-time monitoring allows intervention opportunities and overall team performance.
Deep insights into agent performance and interactions facilitate informed decision-making.
Ensure consistent and effective agent training, reducing the need for manual oversight.
QA
High-accuracy transcription and data extraction enable precise evaluation of agent performance and customer interactions.
Standardize the evaluation process, ensuring fair and consistent quality assessments across all interactions.
For Senior Leaders
Cost-effective and scalable solutions allow leaders to expand operations without compromising quality or performance.
Robust data privacy practices ensure that all customer data is secure, building trust and compliance with regulatory standards.
Stop managing customer
data in silos
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See how our clients transformed their customer conversations