Aseon LabsSpring 2026Active☆Watch⊞Compare

Aseon Labs is one of 431 Mobility / Logistics companies tracked from San Francisco, CA, USA, on record since 2026. 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”

Robotic pitstops for self-driving cars

Aseon Labs builds robotic pitstops for self-driving cars. Autonomous vehicles can drive themselves, but they still rely on humans and centralized depots for charging, cleaning and servicing multiple times per day. As fleets scale, the operational layer makes up 70% of the cost of the service and is of the largest barrier to uptime, profitability and market expansion. Aseon Pods are robotic micro-depots that can be deployed directly within operating zones, bringing fleet servicing to where demand exists. By eliminating unnecessary depot trips and automating routine operations, Aseon helps autonomous fleet operators increase uptime, reduce reset cost by 50% and unlock scale. Founded by the team behind Pushme, which deployed 5,000 mobility infrastructure locations across 40 cities before its acquisition by TIER-Dott, Aseon is funded and building product in Redwood City for pilot deployment with major autonomous vehicle operators.

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.

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.

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

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