Nautilus Software Inc. designs, builds, and deploys artificial intelligence and machine learning systems for government agencies. We focus on practical systems that work inside real compliance limits: document search and question answering, agent workflows that handle repetitive multi-step casework, and models deployed on the agency’s own infrastructure.

Company Data

• Legal name: Nautilus Software Inc.
• UEI: GSFGXUJ5DWS8
• CAGE: 9PQN1
• Business type: Small business, S corporation, Hispanic-owned, Florida
• SAM.gov: Active registration, all awards
• Primary NAICS: 541511 Custom Computer Programming Services
• Other NAICS: 541512, 541519, 541330, 541690
• Contact: Peter Drozd, Principal, (786) 507-8052, Info@InnovateNau.com

Core Competencies

• Generative AI and RAG: secure search, summarization, and question answering over agency documents and records
• Agentic AI workflows: multi-step agents (LangGraph, LangChain) with tool use, human approval steps, and audit logging
• Model Context Protocol (MCP): connecting language models to agency systems and data in a controlled way
• Computer vision and NLP: image detection and classification, text classification, information extraction
• Machine learning: classification, forecasting, and ensemble methods, with documented evaluation
• Edge and embedded AI: predictive maintenance and on-device models for sensors, equipment, and regulated devices
• Deployment and MLOps: FastAPI, Docker, Kubernetes, and Azure; open-weight models that run in a private environment
• Responsible AI and LLM security: evaluation, guardrails, and prompt-injection testing

Differentiators

• Built for regulated work. Prior systems were delivered under PCI, FDA 21 CFR Part 11, and healthcare billing rules.
• Audit-ready by design. Logging, access control, and traceable outputs are part of the first build.
• Private deployment. Systems can run on agency infrastructure without sending data to outside services.
• Senior, hands-on delivery. The person who scopes the work also builds it.

Past Performance (Private Sector)

• Global Payments: led the move of a PCI-regulated payment platform to Azure microservices while keeping compliance intact.
• Shift4 Payments: led engineers rebuilding eCommerce payment infrastructure as cloud-native services with PCI controls.
• Anton Paar: built software for clinical measurement instruments under FDA 21 CFR Parts 11 and 820, including audit trails and encryption.
• American Wellness Centers: built a medical facility’s IT infrastructure and Medicare and private-insurance billing integration.

Training and Credentials

• Post-Graduate Program, AI and Machine Learning for Business Applications, UT Austin (completed 2026)
• Post-Graduate Program, Generative AI and Agentic AI, UT Austin (in progress)
• MBA and Master of Project Management; PMP; Certified Scrum Master
• B.S. Electrical Engineering, University of Miami; international patent in predictive monitoring