The pitch for supply chain software is usually about saving the customer money or time. Altana’s pitch is about saving the system itself. The company’s core asset is a shared model of global trade, a knowledge graph built from billions of data points that maps more than 140 million buyer-supplier relationships [PERPLEXITY SONAR PRO BRIEF, Unknown]. It’s a bet that enterprises, logistics giants, and government agencies will all pay for a single, authoritative view of who makes what, who ships it where, and what risks lie along the way. The proof point isn’t just a Fortune 500 logo; it’s a three-year, $10 million contract with U.S. Customs and Border Protection to test its AI platform [Center for Data Innovation, 2025]. When the regulator becomes a core customer, the procurement conversation changes.
The wedge of a shared operating picture
Altana’s product surfaces are familiar to any supply chain leader: visibility, risk management, tariff simulation, and compliance tools like automated customs classification. The differentiation is the underlying data architecture. Instead of each company building its own siloed map from private data, Altana constructs a collective intelligence layer from a mix of public, licensed, and contributed data. The company’s ‘Trusted Network Platform’ allows participants to query this shared model without directly exposing their own sensitive supplier lists [PERPLEXITY SONAR PRO BRIEF, Unknown]. For a multinational importer, this means mapping a supply chain deep into sub-tier suppliers to check for forced labor risk. For a logistics provider like Maersk, it means offering clients better visibility and compliance services. For CBP, it’s a tool to pre-validate shipments and identify illicit trade.
The claimed outcomes are enterprise-scale. Altana says its platform helps customers classify products eight times faster and has identified an average of $300 million in duty savings per customer [altana.ai, Unknown]. While these metrics are company-sourced, they point to the budget owner: a global trade or supply chain operations leader under pressure to reduce costs and mitigate escalating regulatory risk.
Funding a network-effects moat
Building a global trade graph is a capital-intensive data problem, and Altana’s investors have funded it like infrastructure. The company has raised $322 million to date, hitting a $1 billion valuation with a $200 million Series C in July 2024 led by the US Innovative Technology Fund [Crunchbase News, Jul 2024]. The round’s participant list reads like a blend of deep-tech, growth, and impact capital: Activate Capital Partners, Generation Investment Management, Salesforce Ventures, and GV [Crunchbase News, Jul 2024]. This isn’t seed money for product-market fit; it’s growth capital to scale a network they believe becomes more valuable with each new participant.
2022 Series B | 100 | M USD
2024 Series C | 200 | M USD
The government grant from the Department of Homeland Security, worth $2.85 million, is another signal [Preqin, Jul 2023]. It’s non-dilutive capital, yes, but more importantly it’s a signal of mission alignment. In a category rife with point solutions, Altana is positioning its platform as critical national infrastructure for secure trade.
The team and the traction flywheel
The founding trio of Evan Smith (CEO), Peter Swartz (Chief Science Officer), and Raphael Tehranian (COO) have built the company since 2018 with a consistent focus on the data layer [Forbes, 2026] [LinkedIn, 2026]. Public biographies are light on prior exits, emphasizing instead their long-term focus on complex systems and data product strategy. Their traction suggests the approach is resonating with the right early adopters.
- Government anchor. The CBP contract is the standout, but the company also lists the UK Department of Business and Trade as a customer [Harvard Business School, Unknown]. This public-sector adoption de-risks the platform for regulated industries.
- Logistics backbone. More than half of the world’s largest logistics providers use the platform, according to the company [Morningstar, 2026]. Embedding here creates a powerful distribution channel into their enterprise clients.
- Enterprise validation. Named customers include Boston Scientific and L.L.Bean, suggesting the platform can handle the complexity of medical devices and consumer goods [ProcureTech SOURCE, Unknown].
This creates a potential flywheel: more logistics providers bring more shipment data, which improves the model for enterprises, whose participation then makes the platform more useful for government agencies seeking a complete picture.
Where the wheels could come off
For all its ambition, Altana faces a set of very real enterprise sales challenges. The first is data sovereignty and contribution. The value of the shared graph depends on participants enriching it, but companies may be hesitant to contribute proprietary data, even anonymously. Altana’s model must continuously prove that the insights gained far outweigh any perceived risk of data leakage.
The second is the competitive set. This isn’t a greenfield space.
| Competitor | Primary Focus | Notable Differentiation |
|---|---|---|
| Resilinc AI, Everstream Analytics | Supply chain risk monitoring | Deep focus on disruption event intelligence and supplier risk scoring. |
| Sayari, Interos | Financial risk and third-party intelligence | Strong heritage in entity resolution and financial crime compliance. |
| E2open | End-to-end supply chain execution | Massive scale in transaction management and logistics orchestration. |
These incumbents have established relationships and can bundle visibility as a module within larger suites. Altana’s answer is that its platform is not a module but the foundational graph upon which other applications run. That’s a compelling architectural story, but it requires buyers to think in terms of platforms, not point solutions.
Finally, the economic case rests on those large, quantified savings. While Altana cites an average of $300 million in duty savings identified, the renewal motion will depend on proving sustained, realized value year over year [altana.ai, Unknown]. In a down economy, trade compliance budgets can tighten.
The next twelve months
The immediate roadmap is likely about deepening integrations and proving the network effect. With the Series C capital, watch for expansion in Europe and Asia, where complex trade regulations are similarly accelerating. The company will also need to demonstrate that the CBP contract evolves from a pilot into a sustained, expanding partnership.
Altana’s ideal customer profile is clear: a global director of trade compliance or supply chain risk at a Fortune 500 manufacturer or retailer, someone who spends their days navigating tariffs, forced labor laws, and sanctions across hundreds of suppliers. They are measured on cost avoidance and audit outcomes, not just visibility. For them, a shared truth with their logistics providers and regulators isn’t a nice-to-have; it’s the only way to keep goods moving.
The realistic competitive set extends beyond supply chain software into the broader world of governance, risk, and compliance (GRC) platforms. Altana’s bet is that trade is a complex enough domain to warrant its own dedicated intelligence layer, one that becomes so embedded in the operations of global commerce that switching costs become prohibitive. The $10 million check from CBP suggests some very powerful stakeholders agree.
Sources
- [PERPLEXITY SONAR PRO BRIEF, Unknown] Company overview and product description
- [Center for Data Innovation, 2025] Details on CBP contract value | https://www.datainnovation.org
- [altana.ai, Unknown] Company metrics on duty savings and classification speed | https://altana.ai
- [Crunchbase News, Jul 2024] Series C funding and valuation details | https://news.crunchbase.com/venture/supply-chain-startup-unicorn-altana/
- [Preqin, Jul 2023] Department of Homeland Security grant information
- [Forbes, 2026] Evan Smith profile | https://www.forbes.com/councils/evansmith/
- [LinkedIn, 2026] Peter Swartz profile
- [Morningstar, 2026] Logistics provider adoption statistic
- [Harvard Business School, Unknown] UK government customer reference
- [ProcureTech SOURCE, Unknown] Enterprise customer examples
- [Crunchbase News, Oct 2022] Series B funding details | https://techcrunch.com/2022/10/06/ai-powered-supply-chain-visibility-platform-altana-bags-100m/