From prototype to production, built on Amazon Bedrock and AWS-native services.
AI workloads run under the same FedRAMP-aligned controls, continuous monitoring, and access management as your core application.
Model integration, monitoring, and iteration — not a one-time deployment.
Enterprises want to adopt AI without compromising the security, reliability, and compliance of their cloud environment. Day2Soft closes that gap. We build and integrate custom AI applications, from LLM-powered assistants and document processing to intelligent automation, directly on AWS and Azure using foundation models available through Amazon Bedrock, and we operate them with the same SOC2-aligned, FedRAMP-aligned discipline we bring to every deployment.
Every capability below is designed, deployed, and operated inside your AWS and Azure cloud environment — not bolted on from outside it.
Conversational and copilot experiences built on enterprise-ready foundation models, integrated into your existing application.
Extraction, classification, and summarization pipelines for high-volume federal document workflows.
Task-oriented automation and agentic workflows that plug into existing ops, ticketing, and mission systems.
Natural-language interfaces over agency data — built with the same access controls and audit trail as the underlying system.gnment.
Integration with Amazon Bedrock foundation models on AWS, including models that support stringent security and compliance requirements where required.
Structured evaluation, guardrails, and monitoring so AI behavior stays predictable, auditable, and mission-appropriate.
1
Amazon Bedrock provides access to leading foundation models for building and deploying secure, scalable AI applications.
2
Select models and AWS services support stringent security and compliance requirements, providing a strong foundation for regulated enterprise environments.
3
Every AI workload we operate follows the same SOC2-aligned processes and FedRAMP-aligned controls, ConMon, and access management as your core application — day one, not bolted on later.
4
Every engineer touching your environment is a U.S. citizen working from within the United States.
We describe our own environment as FedRAMP-aligned — never FedRAMP-authorized or FedRAMP-certified — until Day2Soft's own environment achieves an ATO. The same discipline applies to AI: model-level federal approvals (like FedRAMP High / IL-4/5 on specific Bedrock models) are AWS - and model-specific, and we confirm the exact approval status per model before it's cited in any proposal.
Prepare your cloud environment for SOC 2 with proven security controls, operational processes, and ongoing compliance support.
Design, build, and manage secure Kubernetes infrastructure optimized for performance and scalability.
Accelerate software delivery with GitOps workflows, ArgoCD, and automated deployment pipelines.
Continuous eyes-on-glass monitoring, incident response, and proactive operational support.
From prototype to production, built on Amazon Bedrock and AWS-native services.
Implement SOC2-aligned operational processes and security best practices for cloud environments.
Manage user access, PIV authentication, permissions, and secure operational workflows across your environment.
Gain an experienced U.S. and European engineering team without the cost and complexity of hiring in-house DevOps specialists.
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