Cargofy

๐Ÿ“‚ Mobility & Logistics๐Ÿ“‚ Artificial Intelligence๐Ÿ“‚ Software Enterprise๐Ÿ“ Varsavia๐Ÿ—“๏ธ Founded: 2017

Cargofy builds autonomous AI agents that quote, dispatch and track freight for shippers, carriers and logistics operators, plugging into existing TMS systems.

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Podcast Episode

๐ŸŽ™๏ธ Deep Dive

E2D, Cargofy, Warren โ€” defence capital, AI logistics and pension fintech โ€” Daily News June 18, 2026

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About Cargofy

Cargofy builds AI agents that act as "digital employees" for shippers, carriers and third-party logistics providers (3PLs), automating quoting, dispatch, carrier follow-up and coordination, around the clock and across languages. Founded in 2017 by Stakh Vozniak, Alex Kovalchuk and Dimitri Alexiou, the company spent years embedded inside real freight businesses accumulating proprietary operational data before pivoting in 2023 toward generative-AI agents trained on that data. The platform connects to more than 70 existing logistics tools (TMS, ERP, load boards, carrier compliance platforms) without requiring clients to overhaul their infrastructure. Cargofy has surpassed $10M in annual recurring revenue across 2,000 paying customers in Europe, the US and Central Asia, and just closed an $11M Series A (about โ‚ฌ9.6M), led by u.ventures, Toloka.vc and Movens Capital, with participation from angel investor Des Traynor (co-founder of Intercom). The round includes $6M in primary capital and $5M in secondary transactions, which allowed one of its earliest backers to fully exit at more than 50x their initial investment. The funding will support expansion into new regional hubs (Germany, the Netherlands, France, Spain and additional US regions) and deepen the agents' capabilities into back-office workflows such as billing and compliance.

The Story

Founded in 2017 in Warsaw by Stakh Vozniak, Alex Kovalchuk and Dimitri Alexiou, who spent years embedded inside real freight businesses collecting operational data before pivoting in 2023 toward generative AI agent products.

How Cargofy works

Business Model

B2B subscription software for shippers, carriers and 3PL operators in road freight.

Revenue Model

Subscription SaaS tied to load volume handled by the AI agents; over $10M ARR with 2,000 paying customers.

Products & Services

Key Products

  • Cargofy AI digital workers
  • Quoting & dispatch agents
  • Carrier follow-up automation

Core Use Cases

  • Quoting
  • Dispatch
  • Load tracking
  • Carrier coordination
  • Compliance & billing

Market & Clients

Key Customers

Targets shippers, carriers and third-party logistics providers (3PLs) in road freight, including SuuS, Nova Group, Zammler, Metinvest and Vista.

Geographic Presence

PLUSUA

How Cargofy competes

Competitors

SennderFortoFlexportSoftware TMS tradizionali

Competitive Advantages

  • Years of proprietary operational data
  • Integration with 70+ existing logistics tools
  • Positioning as a utility layer, not a broker
  • $10M+ ARR with 2,000 customers

How Cargofy grows

Growth Strategy

Expand regional hubs into Germany, the Netherlands, France, Spain and additional US regions; grow international headcount; extend agents from front-office to back-office workflows (billing, compliance).

Distribution Model

Direct B2B sales to shippers, carriers and 3PL operators, integrating into clients' existing TMS systems.

Moat (Defensibility)

Proprietary operational data accumulated over years working inside real logistics businesses, deep integrations with existing TMS/ERP tools.

Regulatory Context

Relevant to freight transport regulation, carrier compliance and operational data handling across EU and US markets.

Key Risks

  • Dependence on partnerships with carriers and third-party TMS platforms
  • Competition from tech-enabled brokers
  • International expansion across diverse regulatory markets

Strategic Insights

  • AI agents can replace repetitive operational roles (dispatch, quoting) without requiring clients to swap out existing systems.
  • The 'utility layer' model differs from tech-enabled brokers like Sennder or Flexport: Cargofy doesn't run its own freight, it supplies agents to other operators.
  • Secondary transactions inside a Series A can give early backers partial exits while keeping primary capital intact for growth.

Funding & Investors

Total Funding

{'amount': 13500000, 'currency': 'USD', 'amount_display': '$13.5M'}

Funding Rounds

  • 2017 - Seed: $2.5M
    Lead: JKR Investment Group, Flyer One Ventures
  • 2026 - Series A: $11M (โ‚ฌ9.6M)
    Lead: u.ventures, Toloka.vc, Movens Capital

Key Investors

u.venturesToloka.vcMovens CapitalDes TraynorJKR Investment GroupFlyer One Ventures

Founding Team

Founders

Stakh VozniakCo-founder & CEO
Alex KovalchukCo-founder
Dimitri AlexiouCo-founder

Key Metrics

Series A funding$11M (โ‚ฌ9.6M) (2026)
ARR$10M+ (2026)
Total funding to date$13.5M (2026)

Lessons from Cargofy

  • Accumulating years of proprietary operational data before building the AI product can create a hard-to-replicate competitive edge.
  • Integrating into customers' existing workflows lowers adoption friction compared to solutions that require infrastructure changes.
  • Positioning as an automation layer rather than a direct competitor to industry operators widens the addressable market.

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Sources

๐ŸŽ™๏ธ Scalable Podcast โ€” European startup stories ยท ๐Ÿ‡ฎ๐Ÿ‡น in Italian
Spotify ๐ŸŽง Apple