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Orca AI Tech Stack

AI-powered operations platform for maritime safety and efficiency

Maritime Transportation London, UK 51–200 employees Founded 2018 Privately Held

Orca AI deploys computer-vision and AI systems aboard commercial vessels to monitor operational safety, efficiency, and sustainability. The stack spans edge compute (Docker, Kubernetes, Jetson, DeepStream, Triton), real-time telemetry (WebSockets, RabbitMQ, InfluxDB), and PyTorch-based inference—a pattern signaling heavy investment in embedded AI at the hardware boundary. Adopting NVIDIA's edge-AI stack (DeepStream, Triton, Jetson) while maintaining multi-regional deployment infrastructure (AWS, Kubernetes) indicates scaling from prototype to fleet-wide production. The balanced hiring across engineering, sales, and support reflects a company transitioning from technical proof-of-concept to customer-centric operations at scale.

Tech Stack 40 technologies

Core StackSalesforce HubSpot SalesLoft Linux Jira Python C++ React TypeScript Docker Kubernetes Looker Tableau Metabase Angular InfluxDB RabbitMQ MongoDB PyTorch AWS AWS Lambda Outreach Excel Bash WebSockets UDP WebRTC CI/CD SQL AWS SQS+9 more

AdoptingDocker DeepStream Triton Jetson x86

What Orca AI Is Building

◆Challenges

Operating safely in congested ports
Digitization and automation lag
High-traffic sea lanes challenge
Real-world edge integration
Operational safety challenges in congested ports
Transition prototype to deployable c2 system
Balancing ux simplicity with deep system complexity
Usage gaps across vessels
Digitization lag in maritime industry
Performance tuning in constrained environments

▲Active Projects

Containerized edge pipelines
Go-to-market strategy for new features
Installation and commissioning support
Build the c4i ui mvp and operational dashboards
Design and implement backend services, apis, and real-time telemetry pipelines
Real-time sensor data analytics platform
Edge comms stack
Outbound strategy development
Semantic tables for platform features
Sales enablement materials development

Hiring Activity

Accelerating45 roles · 20 in 30d

Department

Engineering

12

Sales

12

Support

12

Data

2

Marketing

2

Ops

2

Product

1

Seniority

Senior

21

Mid

11

Junior

4

Director

3

Manager

3

Lead

1

Notable leadership hires: Regional Sales Director

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About Orca AI

Orca AI builds an AI and computer-vision operations platform for shipping companies. Founded in 2018 by Navy veterans, the company operates across four regional offices (London, Athens, Singapore, Tel Aviv) and serves major shipping operators including MSC, Seaspan, Maran Tankers, NYK, and Marubeni. By June 2025, over 1,200 vessels had been equipped with the platform. The product surface areas include real-time sensor monitoring, operational dashboards, and safety analytics for congested port operations and high-traffic sea lanes. The company raised $111 million total, with a Series B of $72.5 million closing in May 2025.

HeadquartersLondon, UK

Company Size51–200 employees

Founded2018

Hiring MarketsGreece, Israel, Italy, Singapore, Cyprus, United States, Japan

Frequently Asked Questions

What tech stack does Orca AI use?

Core platform: Python, C++, React, TypeScript on AWS (Lambda, SQS). Real-time layer: RabbitMQ, InfluxDB, WebSockets, UDP. Inference: PyTorch. Edge compute: Docker, Kubernetes, NVIDIA DeepStream, Triton, Jetson. Analytics: Looker, Tableau, Metabase.

How many vessels use Orca AI's platform?

Over 1,200 vessels have been booked and installed with the platform as of June 2025. Customers include MSC, Seaspan, Maran Tankers, NYK, and Marubeni.