Companies · Mobility / Logistics
Los Angeles · CA, USA · Mobility / Logistics · founded 2018 · http://www.bluecargo.io/
Diligence memoA one-page analyst read on BlueCargo — recommendation, valuation, rhythm, risks.→BlueCargo: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
BlueCargo is one of 431 Mobility / Logistics companies tracked from Los Angeles, CA, USA, on record since 2018. By capital raised it ranks mid-pack (ahead of 68% of sector peers), and mid-pack by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
The automated solution for complex freight transactions.
BlueCargo is building the automated solution for complex freight transactions. We envision a world where BlueCargo manages all financial transactions between logistics businesses, so they can focus on moving cargo. We help global shippers optimize their supply chain with accurate and automated financial and operational audits, and a tech first user experience. Our startup was founded by two female entrepreneurs, graduated from Y Combinator (2018 batch), and has raised a 4 million seed round followed by a $11m Series A. The company has two offices located in Los Angeles and New York. We are at the beginning of an exciting growth phase where we have already developed product-market fit, a working platform, and hundreds of daily active users. We are looking for a Senior Software Engineers to grow the team and deliver a product to bring us to the next level. If working to bring technology to the logistics industry sounds exciting, then we’d like to connect with you! We are looking for a highly experienced professional who has created several full stack web applications and has experience with AWS.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
No round amounts on record to chart.
No staged rounds to sequence.
Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 431 companies in Mobility / Logistics. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 68% of sector peers (real $). Modeled value above 68% of peers (estimate).
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
BlueCargo is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| 007 TRANSPORT AS | Mobility / Logistics | — | — | — | same sector |
| 05060 TAXI AS | Mobility / Logistics | — | — | — | same sector |
| 1-10 Logistics Center, LLC | Mobility / Logistics | Series A | $6.2M | $72.3M | same sector |
| 123 FLYTTING & TRANSPORT AS | Mobility / Logistics | — | — | — | same sector |
| 1 2 3 LØFT AS | Mobility / Logistics | — | — | — | same sector |
| 1978 INVEST AS | Mobility / Logistics | — | — | — | same sector |
| 1KELT AS | Mobility / Logistics | — | — | — | same sector |
| 1TIL2 AS | Mobility / Logistics | — | — | — | same sector |
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| ShipBlu Amazon Level Logistics for eCommerce Companies in MENA. | Mobility / Logistics | Pre-Seed | — | 78% |
| Nuvocargo Inc. Your AI partner for North America truckload freight | AI / ML | Series B | $471.6M | 76% |
| Maitian.ai We make $1,000 Amazon Go stores. | Mobility / Logistics | — | — | 75% |
| Vooma Inc. Automation platform for logistics | Robotics | Series A | $58.8M | 75% |
| Cart.com, Inc. Cart.com is the leading unified commerce and logistics solutions provider, enabling B2C and B2B companies from discovery to delivery. | Mobility / Logistics | Series D+ | $563.3M | 75% |
| Vendora All-in-One Software for the $1T Grocery Industry | Fintech | — | — | 74% |
| 99minutos The fastest shipping for online shopping | Mobility / Logistics | — | — | 74% |
| Blue Logistics TopCo LLC | Business Services | Series C | $703.0M | 74% |
See where BlueCargo sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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