Finance
made effortless.

This is a core strength of the platform. SoundHound AI’s industry-leading voice AI technology is engineered for superior accuracy and natural conversation flow. It is pre-trained on vast datasets and can be fine-tuned to recognize unique financial service and banking industry vernacular (“compound interest,” “amortization,” “APR”) and a wide range of regional accents and dialects, ensuring a frictionless and intelligent conversational experience for every customer.

Agentic+ is our unique, comprehensive approach to conversational AI. For a bank, it means you get a complete resolution engine, not just a conversational front-end. It combines:

• Deterministic agents for compliant, rules-based processes (like identity verification).
• Generative AI for natural, human-like conversation.
• Autonomous agents that can reason and create new workflows to solve novel problems.
• A smart Human in the Loop to seamlessly escalate when needed.

This combination ensures Amelia can handle the full spectrum of banking and financial services tasks, from simple queries to complex, multi-step resolutions.

A multi-agent system enables Amelia to use a group of specialized AI agents, each with a distinct skill, and orchestrate them to resolve a complex request. For a financial institution, this is critical. For example, a “Pay Off Loan Amount” request might involve a Loan Servicing Agent to retrieve the correct payoff balance, a Payments Agent to process the transaction, and a CX Agent to confirm completion with the customer. The platform’s Agentic+ framework acts as the conductor, ensuring all these specialized agents work together to execute the task seamlessly.

Amelia is a conversational AI platform that helps credit unions and banks deliver fast, personalized service across chat, voice, and digital channels. It automates common tasks like account inquiries, loan applications, transfers, and card management while maintaining a natural, human-like experience. Key features include 24/7 member support, seamless integration with core banking systems, emotion detection with intelligent escalation, learning capabilities, and omnichannel engagement across mobile, web, and call centers — all designed to boost member satisfaction and operational efficiency.

A key strategic advantage of the Amelia platform is its LLM-agnostic architecture. This provides you with the flexibility to use the best model for the job, whether it’s a public model, a private model, or a combination. This future-proofs your AI investment, preventing vendor lock in and allowing you to adapt your strategy as language model technology continues to evolve.

No. Your data is not used to train or fine-tune public or shared models. If you decided to pursue fine-tuning, this would happen through the LLM provider’s infrastructure, with your configuration dedicated to your account. Your data is never shared across clients, and outputs generated remain under your control.

Yes, we offer hosting within a customer’s private cloud and have customers doing this today successfully.

Data is handled through isolated client configurations. We support anonymization or masking of sensitive fields before processing, and data is always encrypted in transit and at rest. All activities are logged and auditable.

Amelia acts as an intermediary conversational gateway rather than a system of record or a source of truth, meaning it does not store client data in a structured format for retrieval. Instead, Amelia employs secure access protocols to connect to client backend systems, utilizing APIs and other secure methods to retrieve specific information required to respond to predefined and highly specific use cases. This approach ensures that client data remains within the client’s control and minimizes the risk of data breaches. Once the necessary information is obtained and the response is delivered, Amelia purges the client information to prevent unauthorized access or data retention issues.

Unstructured, anonymized conversation logs are maintained for operational purposes and retained in a highly secure manner. These logs are stored using AES-256 encryption ensuring data confidentiality and integrity. To comply with data protection regulations and client-specific requirements, Amelia provides configurable redaction functions, allowing clients to tailor data handling processes to their specific needs. This includes options for automatically redacting sensitive information from conversation logs before storage, ensuring compliance with privacy standards and minimizing the risk of sensitive data exposure. These logs are retained for a maximum of 60 days, after which they are securely deleted.