Tagup Tech Stack

AI logistics optimization platform for defense and government supply chains

Software Development New York, NY 11–50 employees Privately Held

Tagup builds Manifest, an AI logistics platform designed for high-stakes military and government operations. The stack—PyTorch, TensorFlow, Claude, FastAPI on Kubernetes across AWS/Azure/GCP—reflects a production-grade ML system built for scale and compliance. The hiring profile is heavily engineering-focused (14 of 16 open roles, mostly senior-level), centered on infrastructure-as-code, data ingestion at billions-of-records scale, and sub-second AI inference latency. Active projects signal a platform architected for FedRAMP compliance and mission-critical availability (99.99% uptime), not early-stage exploration.

Tech Stack 31 technologies

Core StackHubSpot PyTorch Langchain Python FastAPI Pandas TensorFlow Kubernetes MLflow AWS Terraform Ansible MySQL PostgreSQL MongoDB JavaScript Istio React MCP Claude SQLAlchemy Azure GCP SQL REST API Gateway API AWS EKS JavaScript/TypeScript D3.js Vega+1 more

AdoptingTerraform

What Tagup Is Building

◆Challenges

Compliance management in fedramp environments
Vulnerability management and remediation
Expanding into dow logistics ecosystem
Winning ai-driven logistics contracts
Managing opportunity pipeline
Architecting core platform for billions of data points
Ingesting billions of data points
Sub-second latency for ai models
99.99% availability
Legacy service tech debt

▲Active Projects

Infrastructure as code implementation with terraform
Infrastructure build and security across aws and kubernetes
Ato compliance support
Tagup ai agent
Core architecture
Data ingestion at scale
Ai-driven logistics program
Predictive maintenance program
Supply chain optimization program
Ai-driven defense and aviation systems

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering

Sales

Seniority

Senior

Mid

Director

Notable leadership hires: Business Development Director

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About Tagup

Tagup is a defense technology company headquartered in New York with MIT roots (CSAIL Alliances member) focused on logistics optimization for U.S. military and government operations. The Manifest platform combines machine learning with proprietary reinforcement learning to automate complex supply-chain and asset-positioning decisions in contested or data-sparse environments. The company operates across multiple verticals: predictive maintenance, inventory optimization, readiness optimization, and AI-driven aviation systems. At 11–50 employees, Tagup is scaling engineering capacity to handle platform demands—data ingestion at scale, compliance frameworks (ATO, FedRAMP), and core architecture evolution—while building early sales motion around government and defense contracts.

HeadquartersNew York, NY

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What AI and ML frameworks does Tagup use?

PyTorch, TensorFlow, Claude (via Langchain), and MLflow. The stack also includes FastAPI for serving, Pandas for data processing, and Kubernetes for orchestration across AWS, Azure, and GCP.

What is Tagup working on?

Core infrastructure (Terraform, Kubernetes, AWS security), AI agent development, data ingestion at scale, predictive maintenance, supply chain optimization, and FedRAMP/ATO compliance automation. Projects emphasize sub-second latency and 99.99% availability for mission-critical operations.