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Starboard Tech Stack

AI-powered quoting and operations platform for freight forwarders

Technology, Information and Internet Toronto, Ontario 2–10 employees Founded 2024 Privately Held
starboard.biz LinkedIn

Starboard builds agent-driven infrastructure for freight forwarding operations, with a tech stack centered on event-streaming (Kafka, SQS, Pub/Sub) and LLM integration (Claude, Codex). The project list reveals a company solving three connected problems: quote latency and accuracy (via AI agents), rate data ingestion at scale, and customer onboarding—all critical friction points in freight forwarding. Early-stage hiring (2–10 people, 50% sales) indicates a sales-led go-to-market targeting SMB and mid-market forwarders across North America.

Tech Stack 14 technologies

Core StackAWS Kafka HubSpot PostgreSQL Next.js Python Go GitHub Copilot AWS SQS Google Cloud Pub/Sub LinkedIn PostGIS Claude Codex

What Starboard Is Building

◆Challenges

  • Rebuilding core infra for scale
  • Reducing quote latency
  • Improving compute performance
  • Quoting inefficiencies
  • Procurement delays
  • Rate ingestion challenges
  • Scaling core systems
  • Scaling rapidly across north american market
  • Onboarding customers at scale
  • Reducing freight quote time

▲Active Projects

  • Infra for quoting agents
  • Crud systems for rates
  • Event-driven agent workflows
  • Core platform and cloud infrastructure for real-time agent-driven trade workflows
  • High-scale crud apis for rates, quotes, shipments, customers, marketplace data
  • Event-driven deterministic interfaces for autonomous agents
  • Top-of-funnel generation across us and canada
  • Predictable pipeline engine targeting smb and mid-market freight forwarders
  • Customer onboarding experience
  • Implementation foundation

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Sales
3
Engineering
2
Operations
1

Seniority

Mid
3
Senior
3
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About Starboard

Starboard provides a cloud-based operations platform for freight forwarders, centered on two products: Starboard OS (an agent-driven workflow engine) and Quote Tools (AI-powered quoting). The platform integrates live market data via APIs and uses large language models to automate quoting, rate management, and shipment execution. Founded in 2024, the company is based in Toronto and actively hiring across Canada and the United States, with current focus on sales expansion and core infrastructure scaling to support rapid North American growth.

HeadquartersToronto, Ontario
Company Size2–10 employees
Founded2024
Hiring MarketsCanada, United States

Frequently Asked Questions

What tech stack does Starboard use?

AWS (compute/storage), Kafka and Google Cloud Pub/Sub (event streaming), PostgreSQL with PostGIS (spatial data), Next.js and Python (application layer), Claude and Codex (LLM integration), GitHub Copilot (development tooling).

What is Starboard working on?

Core infrastructure for real-time, event-driven agent workflows; high-scale CRUD APIs for rates, quotes, shipments, and marketplace data; quote latency reduction; and customer onboarding at scale targeting SMB and mid-market freight forwarders.

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