Altana

Market position

Altana is a growth-stage, venture-backed company that reached unicorn status ($1 billion valuation) with its 2024 Series C. It serves over a thousand customers, including government agencies and large logistics and Fortune 500 firms, and operates in a market shaped by post-pandemic supply chain disruption, US-China geopolitical tension, tariff complexity, forced-labor due diligence rules and emissions-related logistics regulation. GV, described as Altana's largest shareholder, characterizes trade compliance as becoming increasingly complex.

Altana positions its differentiation on a federated, privacy-preserving architecture: proprietary customer data remains segregated and private while AI-derived insights contribute to a shared, network-wide view of global trade, an approach CEO Evan Smith compares to federated learning used by Google and Apple for on-device privacy. Smith frames the offering as a missing "Google Maps for the supply chain" — a common operating picture spanning public and private participants — distinguishing it from siloed compliance or visibility tools. Its combination of multi-tier network mapping, generative AI querying, and joint public-private (government and enterprise) adoption is presented as the core differentiator.

Technology

Altana ingests public data (maps, web, data brokers) and non-public customer data into a global supply chain knowledge graph, using machine learning and generative AI over billions of data points. Per the Databricks customer story, its most advanced workflows use a compound AI systems approach: custom deep learning models for early processing stages, followed by fine-tuned agent workflows with retrieval-augmented generation, with reinforcement learning from human feedback collected from customers for continuous refinement. It combines open-source LLMs such as DBRX, Llama 3 and Phi-3 with proprietary internal datasets, and runs on the Databricks Data + AI Platform using Managed MLflow for lifecycle and evaluation, Model Serving for deployment, Delta Lake (migrated about a year before the case study, using time travel and shallow copies) and Unity Catalog for governance. The architecture is federated and privacy-preserving, keeping each customer's data separate and supporting multiple cloud and regional deployments.

Go-to-market

Altana sells directly to large enterprises, logistics and shipping companies, financial institutions and government agencies, landing major enterprise and public-sector contracts. Named customers cited across sources include Maersk, UPS, L.L. Bean, Boston Scientific, the U.S. Department of Defense and U.S. Customs and Border Protection. Public-private collaboration and network effects — connecting importers, suppliers, logistics providers and customs agencies on shared data — are central to how the platform is positioned and expanded.

Enterprises with complex international supply chains, logistics providers and customs brokers, financial institutions, and government agencies including customs and defense bodies.

Geography

Headquartered in New York City (an aggregator profile also cites Brooklyn, New York), with operations in multiple countries across three continents as of the Databricks case study.

History

Sources give somewhat conflicting founding dates: a March Capital portfolio listing and a startup profile aggregator state Altana was founded in 2018, while a Forbes article states Evan Smith cofounded the New York City-based company in 2019. Per an aggregator's round history, the company raised a $7M seed in November 2020, a $15M Series A led by GV in September 2021, a $100M Series B led by Activate Capital in October 2022, and a $200M Series C announced in July 2024, for $322M total. GV partner Karim Faris said he decided to lead the Series A in 2021 after the Suez Canal blockage highlighted supply chain fragility. March Capital made its initial investment in 2024. By 2024 the company operated in multiple countries on three continents with roughly 200 employees and over a thousand customers. In July 2026 Altana acquired customs-automation startup Cervo AI for an undisclosed amount.

Risks & controversies

Sources note that Altana's platform is used by defense and border agencies including the U.S. Department of Defense and U.S. Customs and Border Protection; Forbes asked whether the platform is used to track or enforce illegal immigration, and CEO Evan Smith said it is not, stating the system tracks only the movement of items, not people, and that tracking people is a line the company would not cross. Performance figures such as 20x faster model deployment and 20-50% better model performance are self-reported in a vendor-published (Databricks) customer story, as the ZenML summary explicitly cautions. Sources also disagree on basic facts such as founding year (2018 vs 2019), employee count and total funding ($322.0M vs $383.6M cited in different parts of one aggregator page).