AWS and Multimodal Unite to Advance Agentic AI

Amazon Web Services (AWS) now powers the infrastructure behind Multimodal’s enterprise-grade agentic AI platform, enabling secure, scalable deployments for banking and insurance. By deeply embedding in AWS compute, storage, database, and model services, we are helping regulated institutions automate complex workflows without compromising control, compliance, or performance. This approach supports agentic AI adoption, improves technology capabilities, and reduces the complexity of building in-house.

Meeting AI's Enterprise Moment

AI is no longer experimental. For banking and insurance, it is becoming central to processing loan applications, adjudicating claims, and managing multi-step workflows at scale. Many organizations face the classic buy or build agentic AI decision, weighing the trade-offs between in-house development and pre-built or vendor solutions.

Building agentic AI systems from scratch requires specialized expertise, internal resources, strong data management, and the ability to support ongoing maintenance. These are significant challenges for teams without specialized talent or a dedicated team for AI development.

At the same time, relying entirely on commercial solutions can reduce flexibility and may not align perfectly with business goals, own processes, or strategic priorities.

This AWS-backed deployment model gives enterprises a middle path by combining secure, scalable infrastructure with the ability to maintain their own solution and maintain control of sensitive workflows.

Multimodal’s AgentFlow platform already powers dozens of AI agents for document processing, decision making, enterprise search, and other multi-step tasks. By leveraging AWS for compute, storage, and model access, these agentic systems can run with the reliability, scale, and auditability required by Tier 1 institutions.

This allows enterprise leaders to focus on strategic initiatives, building internal capabilities, and refining their AI strategy, rather than maintaining complex infrastructure.

What the Collaboration Enables

This collaboration strengthens Multimodal’s infrastructure across AWS and supports a scalable agentic AI solution that integrates with multiple systems, meets customer needs, and supports smarter automation. Key components include:

• EC2 for Core Compute: Multimodal uses Amazon EC2 to power everything from high-throughput model inference to background task execution and large-scale workflow processing. EC2’s flexibility allows Multimodal to scale compute resources up and down dynamically based on customer demand.

• Kubernetes for Reliability and Scale: Kubernetes (running entirely on AWS) enables Multimodal to deploy, autoscale, and orchestrate thousands of concurrent agentic tasks. This ensures high availability even during peak workloads.

• S3 for Secure, Durable Storage: Amazon S3 acts as the secure, long-term storage layer behind workflow artifacts, logs, and customer data. It provides durability, redundancy, and compliance for enterprise environments.

• Aurora DB for High-Performance Databases: Aurora serves as Multimodal’s primary relational database engine, providing the performance and resilience needed to manage metadata, transactional state, and workflow orchestration at scale.

• AWS Bedrock for Enterprise Model Access: Through Bedrock, Multimodal offers customers governed access to a growing ecosystem of foundation models, helping them run agents with proven compliance, secure endpoints, and enterprise-grade guardrails.

• Security, Identity, and Observability: From IAM for secure role-based access to VPC isolation, encrypted storage, and full-stack monitoring, AWS underpins Multimodal’s commitment to operational security and system visibility.

Why This Matters for Customers

Our customers, whether global banks or regional insurers, face the same demand: deploy secure AI systems that actually do the work, without creating new risk vectors or technical debt.

This collaboration helps institutions make informed decisions about their AI strategy and reduces the need for building in-house, while still maintaining control over sensitive workflows. This partnership improves:

• Deployment Speed: Full environment provisioning (DEV, STAG, PROD) in under 8 weeks supports rapid deployment and accelerates strategic initiatives.

• Data Sovereignty: Zero data exfiltration with full encryption (TLS 1.3 in transit, AES 256 at rest) strengthens data management, supports data quality, and aligns with organizations’ own processes.

• Auditability: Immutable logs, confidence scoring, and role-based access across every AI agent help organizations avoid common pitfalls, evaluate key decision factors, and honestly assess workflow performance.

• Model Governance: Embedded MRM tools, quarterly retraining, drift detection, and regulatory hooks for IFRS 9, CECL, and similar frameworks support agentic capabilities, prepare enterprises for strategic priorities, and reduce reliance on specialized vendors.

What’s Next

This partnership formalizes what’s already been true: AWS is our infrastructure backbone. Looking ahead:

• AgentFlow will launch on the AWS Marketplace in Q1 2026, enabling faster procurement and deployment.

• Enterprise pilots are running across retail banking, credit unions, and life insurance, reducing the need for building in-house and enabling faster scaling.

• Expanded Bedrock support will make it easier to combine pre-built agents with own solution logic for hybrid ag.

“As Bedrock continues expanding its model offerings, it becomes an increasingly useful resource for agentic AI. It gives us a governed, enterprise-ready way to access multiple models, which is important as agent workflows become more specialized.” — Andrew McKishnie, VP of Engineering, Multimodal

About Multimodal

Multimodal builds secure, vertical-specific AI agents for regulated industries. AgentFlow transforms institutional knowledge into governed, production-ready agentic capabilities designed to support multi-step reasoning and repetitive tasks.

About AWS

AWS offers more than 200 cloud services that support enterprise-grade AI systems, agentic AI, and large-scale AI development.