Companies · Mobility / Logistics
Singapore · Singapore · Mobility / Logistics · founded 2022 · https://www.powerhouseai.com
Diligence memoA one-page analyst read on Powerhouse AI — recommendation, valuation, rhythm, risks.→Powerhouse AI: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Powerhouse AI is one of 431 Mobility / Logistics companies tracked from Singapore, Singapore, on record since 2022. 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”
Vision-powered warehouse automation: maximizing performance and value
Powerhouse AI offers automation at a fraction of the cost of regular automation solutions. Enabling warehouses to become more competitive, fast. - How? By making warehousing as easy as taking pictures with a mobile device; digitizing processes and using the power of the camera to automate counting and checking tasks. Four core functionality areas: - Workflow Digitization: simplify and automate warehousing with AI powered workflows. - AI Counting: automate the tedious and error-prone counting of inventory. - AI Label Processing: scan everything [not just barcodes]. Fast. - AI Document Processing: reading logistics documents with the click of a button. Core benefits: de-risking and future-proofing your warehouse operations - Increasing efficiency and accuracy with 20% to 40% - State-of-the-art technology - Making “dumb” boxes smart - Easily deal with supplier data inconsistencies - Enabling a data driven way of working - Real-time access to data
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.
Powerhouse AI 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 |
|---|---|---|---|---|
| InLoop Robotics Robotic arms that pick and pack your orders. | Robotics | — | — | 80% |
| Servo7 Robots that unload containers in warehouses | Robotics | — | — | 79% |
| AutoPallet Robotics We make robots that move boxes in warehouses | Robotics | — | — | 78% |
| Hemut AI-powered operating system for trucking companies. | AI / ML | — | — | 77% |
| Handled Automating post-order operations for e-commerce brands and 3PLs | AI / ML | — | — | 77% |
| Boost Robotics Robots for the inspection and maintenance of data centers | Robotics | — | — | 77% |
| SprintAI AI-led platform for inventory and fulfillment optimization | AI / ML | — | — | 77% |
| Lighthouz AI Freight bill audits, AP, AR automation for freight brokers with… | Mobility / Logistics | — | — | 77% |
See where Powerhouse AI sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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