Shipamax
Winter 2017AcquiredSimple, end-to-end automation for logistics orgs
Pressure-test this opportunity
Explore the risks and possibilities with a prompt for ChatGPT, Claude, or your agent.
Simple, end-to-end automation for logistics orgs
Explore the risks and possibilities with a prompt for ChatGPT, Claude, or your agent.
Shipamax began in 2016 as an online broker for bulk ships, became workflow software for bulk shippers, and found its durable product only after a second pivot. Its machine-learning system read logistics emails and attachments, extracted fields without per-customer OCR templates, and pushed structured data into transport-management systems. [2] [6]
The document product reached tens of millions of files per year and more than 40 logistics customers. [8] Its strongest integration also pointed to the endpoint: Shipamax said 80% of its customers used CargoWise. WiseTech Global bought the company in November 2022 and folded its document engine into CargoWise. [9] [14]
Image 1 / 1
Jenna Brown and Fabian Blaicher had both worked in physical commodities at RWE. Moving coal, fertilizer, grain, or ore meant hiring an entire vessel rather than reserving container capacity on a fixed route. They watched traders, shipowners, and brokers negotiate through phone calls, spreadsheets, and huge email streams. [2]
The founders brought different operating experience. Brown had been Adzuna's first sales employee, helped take the job-search company into 11 countries, and later led international expansion at GoCardless. Blaicher founded a technology company at 18, worked at Goldman Sachs, then traded physical fertilizer at RWE. [4]
Brown told TechCrunch why the category looked empty: "When most people think about shipping, they think about containers – most people don't know or think about the multi-billion dollar non-containerised shipping industry." She added that outsiders struggled to understand it, leaving few modern software companies in the market. [2]
Their first idea was a technology-assisted shipbroker. Shipamax combined vessel-location data with algorithms that matched cargo to capacity, then used human brokers to close the deal. Brown later gave a blunter account: "We had seen the process for booking bulk ships for moving bulk commodities was just woeful. And we wanted to almost create an online brokerage to solve that." She called the idea "really horrible" in the same interview. [5]
The failed brokerage produced a useful asset. Bulk markets generated thousands of unstructured emails describing available ships and cargo. Shipamax had built a parser to turn that stream into structured supply and demand. The team first sold workflow software to existing bulk-shipping firms, then realized that customers valued the extraction layer more than the vertical application. That insight drove the second pivot into document automation across freight forwarding and 3PL operations. [6]
The mature Shipamax product sat between an inbox and the system where logistics work happened. A customer forwarded email through standard protocols or sent a document through an API. Shipamax classified the PDF or image, extracted fields, normalized them to the customer's conventions, and returned the original document plus machine-readable data. An optional integration inserted the result into CargoWise or another TMS or ERP. [9]
That sequence covered import and export bills of lading, commercial invoices, accounts-payable invoices, cargo lists, position lists, and customs-entry documents. Shipamax also built interfaces for reviewing exceptions and analyzing where a process broke. Customer material cited GKN, Seaway, Cargo Brokers, and Western Bulk. One import-workflow customer reported a 30% reduction in processing time. [11]
Traditional OCR required a company to define templates and rules for each carrier and document layout. Shipamax called its alternative a Contextual Understanding Layer or "Anti-Template Technology." Its models classified logistics documents, interpreted the meaning of extracted text, and mapped fields into logistics-specific schemas. [13] The system still included OCR; the differentiator was domain training, normalization, and workflow integration around it.
The product offered a browser interface, open API, signed webhooks, and a CargoWise connector. Shipamax marketed a four-to-six-week rollout, 95% automation, and 85% time savings. Those numbers came from its sales material rather than an independent evaluation. [9]
Product scope expanded after the second pivot. Company history lists three freight-forwarding and 3PL use cases by 2020, then commercial invoices for customs in 2021. [8] The acquisition extended the same engine into CargoWise's document layer, including the creation of forwarding and customs jobs and the processing of payable invoices. [14]
Shipamax's customer changed twice. It started with charterers, shipowners, and brokers in non-containerized bulk shipping. The first SaaS pivot kept that narrow market but equipped its incumbents instead of competing with them. The second pivot sold to freight-forwarding operations, finance, and technology teams, from regional firms to global enterprises. [6]
Remote work supplied an unexpected demand shock. FreightWaves reported that commercial momentum recovered in the second quarter of 2020 as logistics staff lost office access to paper and local processes. [12]
Mosaic Ventures estimated more than 40,000 freight forwarders, $600–700 billion of goods handled, and 12 billion associated documents per year. The investor supplied those figures; they were not audited company metrics. They still explain why broadening beyond bulk shipping mattered. [7]
Shipamax's observed scale is more useful. It reported more than 18 million annual emails and documents at the Series A, then more than 25 million documents, 40 customers, and 30 employees before acquisition. [6] [8]
The original brokerage competed with relationship-heavy human intermediaries. The workflow product competed with email and Excel. The final product faced template OCR such as ABBYY, business-process outsourcing, general document AI, and tools inside transport-management systems. Shipamax chose depth over breadth by focusing on logistics documents, common business rules, and direct TMS connections.
That position created a distribution dependency. Shipamax said 80% of customers already ran CargoWise. [9] An independent extraction vendor could improve accuracy across systems, but CargoWise owned the place where a forwarding job, customs entry, or invoice became operational. WiseTech could make Shipamax native and spread it across a large installed base.
Shipamax sold consumption-based software and said in 2020 that it charged no implementation fee. [10] Customer success remained part of the offer because each deployment required source connections, field mappings, process rules, and exception design. Public pages did not disclose per-document prices, contract values, gross margins, revenue, retention beyond the Series A's zero-churn claim, or profitability.
Funding totaled $9.5 million: a $2.5 million seed round and $7 million Series A. [3] [6] WiseTech's annual report grouped Shipamax and electronic-bill-of-lading company Bolero into an "Others" acquisition column with $94.7 million of total consideration. It did not separate the two prices, so that number cannot be treated as Shipamax's exit value. [15]
At the January 2020 Series A, Shipamax said it processed more than 18 million emails and documents per year, had no churn in its current product, and reached 99% accuracy on its most advanced document types. Freight forwarding produced more than 20% of revenue within months of launch. [6]
Mosaic reported more than 30 customers at investment. Shipamax later claimed more than 40 customers, more than 25 million annual documents and emails, and a staff of more than 30. [7] [8] The acquisition and subsequent team integration supply stronger evidence than marketing percentages. WiseTech bought the capability for a named CargoWise product priority and continued investing in it. [15]
Shipamax's 2016 brokerage attacked a real problem. A broker could receive thousands of emails while trying to match an entire vessel to one cargo at the right time and place. The founders initially tried to replace the broker, then gave brokers workflow software. Both products stayed inside bulk shipping.
The team did not ignore the warning. Brown said the SaaS product had traction, but the market was too small for a venture-scale company. [6] Shipamax examined why customers bought and isolated the email-extraction system beneath the application. The remedy widened the customer set while narrowing the proposition. Freight forwarding reached more than 20% of revenue within months, validating the second pivot.
The document product worked across inboxes and systems, but most of its customers used one downstream platform. Shipamax reported that 80% of its customer base ran CargoWise. [9] That concentration lowered deployment friction and improved distribution. It also meant the system of execution could absorb the extraction layer as a native feature.
Shipamax tried to preserve breadth with an open API and support for non-CargoWise systems. It also deepened the CargoWise connector because customers wanted data to create operational jobs rather than stop at a structured JSON response. The same integration that helped the startup sell made WiseTech the logical owner.
WiseTech founder Richard White described the mechanism: "Through our CargoWise platform, we have created integrated processes to ensure data is entered only once." He said Shipamax would automate the inbound documents feeding those processes. [14] The acquisition converted a partner dependency into native distribution.
WiseTech bought Shipamax on November 1, 2022 and publicly announced it the next day. Brown said the deal supplied a native CargoWise integration and a large customer base. WiseTech later classified Shipamax and Bolero as tuck-ins that expanded digital documentation and straight-through processing, and said both teams and technologies were being integrated. [14] [15]
Shipamax's current homepage now directs visitors to WiseTech, confirming that it no longer operates as a standalone destination. [16] The price and investor returns remain unknown. The evidence supports a successful product acquisition after two disciplined pivots, while the financial outcome cannot be judged.