This article covers a pre-seed funding round on 7 October 2025, Nexcade, a London-based startup bringing end-to-end AI automation to global freight forwarding, founded by Dan Bailey. The round raised £1.86m and was led by Connect Ventures, with participation from MMC Ventures.
Nexcade is a software platform based in London that uses AI to automate freight forwarding workflows and document handling. It turns emails and attachments into usable records to automate spot quotes, rate sourcing and shipment workflows.
People face fragmented, manual freight workflows that rely on emails, attachments, and spreadsheets instead of structured systems. This leaves critical decisions and revenue opportunities outside automated workflows.
Nexcade explains that it captures unstructured emails and quotes, converts them into structured workflows, and automates spot quoting and sourcing.
Nexcade raised £1.9m ($2.5m) in a pre-seed round led by Connect Ventures, with participation from MMC Ventures alongside existing backers. This makes it the 17th largest funding round in October 2025 (21 recorded). It stands 354th for 2025 (493 total) in the Startupmag database, as of 7 October 2025.
For details on how Startupmag compiles its rankings, view our Methodology.
Key investors in the round include the following.
In the funding announcement, Rory Stirling from Connect Ventures said:
Dan and Tasho combine domain knowledge with deep technical strength. In a market full of hype, their speed of execution and ability to deliver real value to leading freight forwarders have truly impressed us.
If you're researching potential backers in this space:
Dan Bailey is the founder of Nexcade.
In the funding announcement, Dan Bailey explained:
Our goal is to give operators the tools they need so workflows continue smoothly, even when exceptions arise.
Nexcade is based in London, UK.
Nexcade operates in the automation sector. This sector builds tools that make tasks run automatically, saving time and reducing errors. It turns messy emails and spreadsheets into organised workflows people can trust.
Key trends and challenges in Automation:
AI tools now handle natural language tasks. For example, organisations automate conversations formerly done by email.
Legacy systems, carrier siloes and spreadsheets keep data trapped, hindering seamless automation across supply chains. For example, crucial emails and attachments often remain outside systems.
Automated systems must handle exceptions and allow human intervention, otherwise operations can stall during unexpected cases. For example, customs delays still require human judgement.
For a deeper look at innovation in this space, see the supply chain startups in the UK.
Click here for a full list of 7,233+ startup investors in the UK