FAQs

We provide a comprehensive suite of AI Agents including:

• Unstructured AI - Extract and transform complex data from unstructured document formats
• Document AI - Extract, label, and normalize data from structured and unstructured documents
• Decision AI - Accurate decision recommendations backed by clear reasons and cahin of thought
• Conversational AI - Retrieve answers from internal documents and realtime audio to support human operators
• Database AI - Access company databases to answer queries and interpret datasets without code
• Report AI - Draft business reports, memos, quotes, and summaries backed by internal company knowledge

These Agents allow end-to-end automation for complex workflows.

Our AI Agents use machine learning and artificial intelligence to automate workflows by gathering, analyzing, and processing data from unstructured and structured sources.

They can be deployed across various industries, with a particular focus on financial services and insurance. These industries benefit from AI-driven insights and automation that optimize decision-making, reduce manual workloads, and enhance customer experience.

Our AI Agents automate complex middle and back-office workflows, enabling faster and more accurate decision-making, data processing, and customer interactions. They help organizations improve efficiency while maintaining high levels of accuracy and compliance.

Yes, our solutions are highly customizable. We work closely with clients to tailor our AI Agents, matching them to the unique requirements, data, and operational workflows of each business.

Our AI Agents can handle a wide range of tasks, including data extraction, decision support, customer support automation, document processing, and workflow management.

Our AI Agent Software Platform is built on proprietary technology that enhances large language models with an advanced application layer, creating specialized AI Agents. This tailored approach outperforms generic solutions, providing clients with a powerful and flexible AI experience that’s custom-configured to meet their specific data, documents, and operational needs.

By outsourcing AI development to us, clients can focus on their core business activities, while still gaining access to cutting-edge AI technology. This setup allows companies to achieve efficiency and innovation without diverting resources to develop, maintain, or manage AI technology in-house.

Multimodal specializes exclusively in developing Generative AI solutions tailored for the financial services and the insurance industry. Our expertise and track record show proven results, such as 4x higher productivity, reduced operational costs, and faster decision-making.

Unlike generalist in-house teams, we bring industry-specific knowledge and a suite of integrated AI solutions that streamline complex workflows in finance and insurance, from Document AI and Decision AI to Conversational AI and Database AI.

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Yes, our solutions are highly customizable. We work closely with clients to tailor our AI Agents, matching them to the unique requirements, data, and operational workflows of each business.

Our AI Agents can handle a wide range of tasks, including data extraction, decision support, customer support automation, document processing, and workflow management.

Our solutions are designed for seamless integration, with an API-first approach that ensures compatibility with existing systems, databases, and third-party platforms.

Yes, our solutions can integrate with major CRM and ERP platforms. Our team provides full support to ensure smooth data exchange and workflow integration.

We typically recommend servers with GPUs and containerized solutions using Kubernetes for scalability.

Yes, we provide a set of AI Agents that integrate into existing systems and tie together various capabilities such as document processing, decision-making, and conversational tasks. This ensures smooth data flow and operational efficiency across complex workflows.

Our team can help prepare and format your data to ensure it meets the required standards. This minimizes the need for extensive data pre-processing and enhances the performance of our AI Agents.

Alternatively, if you want to prepare your data yourself, you can use Unstructured AI as an ETL layer for preparing unstructured document formats for downstream GenAI applications.

Multimodal is compatible with all major cloud providers, including Google Cloud Platform, Amazon Web Services, and Microsoft Azure. We can work with your preferred provider to ensure seamless integration with existing cloud infrastructure.

For on-premises deployment, large language models require servers with GPUs. We also support flexible configurations like VMware and Kubernetes to maximize performance.

Documents can be uploaded through a secure, user-friendly interface or automated system-to-system transfer. Our platform supports various file formats, ensuring that documents are processed efficiently and securely.

Our AI Agents can handle real-time data processing and analysis, making them suitable for dynamic environments where up-to-date insights and decisions are critical.

Implementation times vary depending on the complexity and scale of the deployment. However, typical implementation times can range from a month to 3 months, based on your organization’s needs and the level of customization required.

Yes, our solutions are designed to be scalable. You can start with a smaller implementation to test the solution’s impact and gradually expand as needed. This modular approach allows for efficient scaling without compromising service quality.

Our solutions are highly scalable and capable of managing increased workloads during peak periods. Our AI Agents leverage robust infrastructure that can dynamically adjust to higher data and processing demands, ensuring consistent performance even under high loads.

Our Document AI Agent seamlessly integrates with LOS platforms, allowing data to flow efficiently between systems. This integration reduces manual input and ensures that all required documentation is available for loan processing in real time.

We prioritize long-term partnerships with clients by providing continuous support, regular updates, and a commitment to evolving our solutions alongside your business needs.

Multimodal has strong financial stability, with robust annual recurring revenue (ARR) and long-term industry commitment. We prioritize reliability and sustainability, ensuring clients that we will remain a stable partner in the years to come.

Our team monitors regulatory and technological shifts closely, ensuring our solutions stay compliant and compatible. We promptly incorporate changes into our solutions as they arise.

Our focus on AI solutions for finance and insurance, existing partnerships, and API integrations make us unique. Multimodal offers tailored solutions that provide clients with competitive advantages in automation and decision-making.

We are dedicated to continuous support and product updates, providing clients with consistent advancements and a technology that evolves without sacrificing stability.

Yes, we continuously improve and update our solutions to ensure clients benefit from the latest AI advancements. By partnering with us, clients have access to ongoing innovation without needing to invest further in upgrades or technology changes.

Updates can be scheduled periodically or implemented as needed, especially when new regulatory changes or business rules arise. Our team works closely with clients to incorporate these updates swiftly to align with industry requirements. Our team works closely with clients to incorporate these updates swiftly to align with industry requirements.

Yes, Multimodal can provide case studies and ROI metrics that showcase the impact of our AI solutions in the finance, banking, and insurance sectors. These documents highlight key performance indicators like efficiency gains, time savings, and cost reductions.

We offer ongoing support and maintenance, including troubleshooting, system monitoring, and regular updates. Dedicated support teams assist with any challenges post-implementation, ensuring the solution continues to meet the performance standards.

Systems upgrades are managed by our team to minimize disruption. We coordinate updates with clients to implement them at convenient times, ensuring access to the latest features without impacting daily operations.

Yes, we provide tools and support to help you measure productivity gains, cost savings, and other metrics to quantify the value of your AI investment.

To initiate a POC, we’ll collaborate to outline your specific goals and requirements, define success metrics, and create a timeline. This approach ensures the POC demonstrates clear value and aligns with your strategic objectives.

Our solution includes robust data privacy measures, ensuring compliance with regulations such as GDPR and CCPA. Multimodal’s AI Agents prioritize data encryption, secure access controls, and regular compliance audits to protect sensitive information.

Pricing is typically structured around usage and the scale of the deployment, though Multimodal can offer flexible pricing options based on your specific needs, such as user count, data volume, or service features.

Multimodal solutions are built to scale, but certain configurations may affect performance. Our team will help design a setup that can handle your anticipated data and user volume.

No, we prioritize data privacy and security. Your data will remain confidential and is used strictly within agreed-upon terms, not for training other language models.

Our solutions are designed with flexibility in mind. We support ongoing customization and upgrades to adapt to changing business needs or new objectives.

We incorporate ethical AI practices and continuous monitoring to detect and mitigate biases, ensuring our models provide fair and accurate results.

Working with Multimodal removes the need for extensive R&D, hiring specialized talent, and maintaining complex AI systems. We offer ready-to-deploy solutions that provide immediate value, significantly reducing both initial and ongoing costs associated with building in-house AI capabilities.