ShipBluSummer 2021Active☆Watch⊞Compare

ShipBlu is one of 431 Mobility / Logistics companies tracked from Cairo, Cairo Governorate, Egypt, on record since 2021. 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”

Amazon Level Logistics for eCommerce Companies in MENA.

ShipBlu provides Amazon level logistics for eCommerce companies in MENA - one of the fastest growing eCommerce markets in the world. As it stands, the majority of delivery providers are still using pen and paper to manage delivery and fulfillment operations, leading to 5x the rate of failed deliveries and 3x the operating costs as compared to global benchmarks. At ShipBlu, we've built an infrastructure that handles every aspect of delivery and fulfillment operations. We've also added some unique features that tie in various business functions, allowing us to realize significant efficiencies compared to other players. Our platform is managed by ShipBlu AutoPilot - our collection of Artificial Intelligence and Machine Learning algorithms that constantly make operational predictions and decisions to reduce costs, meet delivery constraints, and refine our operating assumptions. Designed by ShipBlu's CTO, Abdelrahman is currently completing his PhD at Brown University where he explores the applications of AI and ML in optimization problems. We built a nationwide delivery network in Egypt in about 2.5 months, kicking off operations on Aug 1st, 2021. In under 4 weeks, we have signed on over 40 merchants, and when those merchants fully go live in October, we will be making over $40k in MRR.

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.

Round size and date are reported; the stage label is inferred from round size (latest is Pre-Seed — a round under $1.0M). Valuation is modeled from stage benchmarks scaled by the mobility sector profile. 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.

Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.

1. Pre-Seed—2021-07-13
   • First recorded raise — entered as Pre-Seed.

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.

ShipBlu 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.

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.

See where ShipBlu sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at ShipBlu, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.