Portcast

Market position

Positions itself among supply chain visibility software vendors, differentiating on moving from passive tracking to recommended and automated actions; a FreightWaves quote used by the company refers to a "crowded field of logistics visibility tools." Its investor cited the combination of public and proprietary data producing explainable transportation visibility as a differentiator.

Combines shipment visibility with freight spend management and freight audit in one platform, connecting milestones to orders, contracts and invoices; emphasises explainable predictions (reasons for delays) and AI-generated recommended actions executed with human approval, rather than tracking alone. Claims a proprietary multi-source data network and demonstrated demand forecasting used by shipping lines and air cargo operators.

Technology

Machine learning models and large language models applied to an aggregated data network of over 70 sources, including carrier and terminal feeds, satellite and terrestrial geolocation, voyage and external risk data (weather, geopolitical and operational events), and unstructured documents, invoices and ERP data. Outputs include predictive ETAs/ETDs with explanations of delay causes, exception detection and alerting, container-level risk association, CO2e emissions calculation, invoice data extraction stated at 99% accuracy, and demand forecasting. Delivery is via APIs and a web portal. Security practices cited include ISO 27001 certification, third-party VAPT scanning, AES-256 encryption, a secure SDLC and cyber security insurance.

Go-to-market

Direct enterprise sales with a book-a-demo motion on the website, supported by content marketing (blog, white papers, market insights, transit-time and port congestion reports), press coverage in trade media such as The Loadstar, FreightWaves, Manufacturing & Logistics IT Magazine, Food Logistics and All Things Supply Chain, and a partner ecosystem including a listing of the Portcast product in the Siemens Xcelerator ecosystem. Following its Series A, the company said it planned to deepen its presence in Asia Pacific and Europe and strengthen integrations with technology partners.

Global shippers and beneficial cargo owners, manufacturers, freight forwarders and other logistics service providers, and logistics technology companies including TMS providers. Within these accounts the platform targets operations, finance/freight audit, and planning and procurement teams. Named reference customers include AIT Corp, Sumitomo Warehouse, Otentic Customs, MPG Group, FreshCo and Wilo Group; BSM Global is quoted as a user.

Geography

Founded and headquartered in Singapore, with a team the company describes as having expanded globally from APAC to Europe. Post-Series A plans target deeper expansion across Asia Pacific and Europe.

History

Portcast was founded in Singapore and describes support from partners and investors from its early days, with team members coming from companies such as DHL, Cisco, Antler, Entrepreneur First, Bloomberg and Strategy&, alongside deep tech researchers and PhDs. In November 2024 it announced a USD 6.5 million Series A led by Susquehanna Asia VC, which included existing investors Wavemaker Partners, TMV and Innoport. Product scope has broadened over time from container tracking and predictive ETAs to air cargo visibility, analytics dashboards, and newer freight audit and Command Center modules, with a Risk Intelligence expansion (added risk coverage, Container Risks API, proactive alerts) published in July 2026.

Risks & controversies

No controversies are documented in the available sources. Performance figures such as 15% cost savings, 80% productivity gain, 5% NPS lift and 99% invoice extraction accuracy are self-reported by the company and unverified; customer testimonials on the site are largely anonymised by role. Coverage statistics differ between the 2024 funding announcement (370+ carriers, 800+ ports) and current website figures (220+ carriers and NVOCCs, 12,000+ ports), which the sources do not reconcile.