Company profile

Torch.AI Tech Stack

AI reasoning and data fusion infrastructure for US government missions

Software Development Leawood, Kansas 51–200 employees Founded 2017 Privately Held

Torch.AI builds a machine reasoning layer that fuses multi-source data for US national security customers, with internal platforms named Nexus and Orcus anchoring the work. The stack pairs Apache NiFi, Kafka and Airflow ingestion with PyTorch, Transformers, RAG and MLflow, plus SCAP for compliance, pointing to ML systems hardened for classified deployment. Hiring is accelerating and almost entirely engineering, focused on the reasoning layer's pipelines and infrastructure.

Tech Stack 43 technologies

Core StackPython Java Apache NiFi Adobe Illustrator Adobe Photoshop Adobe InDesign Canva Figma Jenkins GitLab CI/CD Docker Kubernetes Terraform Kafka scikit-learn PyTorch MLflow Kubeflow SageMaker RAG Apache Airflow TensorFlow Nexus AWS ECS SCAP Transformers spaCy DVC Spring Boot Micronaut+13 more

What Torch.AI Is BuildingChallenges and projects from their job posts

◆Challenges

Missing machine understanding layer for growing data
Secure, compliant deployment in classified environments
Lack of real-time decision context
Integrating large data volumes

▲Active Projects

Reasoning layer development
Orcus ingestion pipeline and orchestration governance
Nexus semantic representation and vectorization
Semantic search, embedding pipelines and RAG components
CI/CD and IaC provisioning for reasoning layer
Observability pipelines for logs and metrics

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering

Marketing

Seniority

Mid

Junior

Intern

Senior

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About Torch.AI

Torch.AI is a privately held software company founded in 2017 and headquartered in Leawood, Kansas. It develops AI infrastructure that turns fragmented data from many sources into structured understanding for machine reasoning and decision support. Its customers are US institutions responsible for national security and continuity, and its capabilities span data fusion, orchestration, OSINT and human capital intelligence. The company employs 51–200 people and hires within the United States.

HeadquartersLeawood, Kansas

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Torch.AI use?

Torch.AI uses Python, Java, Spring Boot and Micronaut, with Kafka, Apache NiFi and Airflow for data flow, PyTorch, TensorFlow, Transformers and MLflow for ML, and Docker, Kubernetes, Terraform and GitLab CI/CD for delivery.

What is Torch.AI working on?

Current work centers on a reasoning layer, the Orcus ingestion pipeline and its governance, Nexus semantic vectorization, embedding and RAG pipelines, and CI/CD and infrastructure-as-code for the reasoning layer.

Is Torch.AI hiring engineers?

Yes. Hiring is accelerating and concentrated in engineering, mostly at mid-level, with a small marketing presence. All roles are based in the United States.

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How this profile is built

Torch.AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.