Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2012 · http://cueup.com
Diligence memoA one-page analyst read on Cue — recommendation, valuation, rhythm, risks.→Cue looks fair against its niche peers and is at-risk on financing cadence.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the ai/ml sector profile.
Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.
Cue is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2012. By capital raised it ranks mid-pack (ahead of 69% 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”
SA startup Cue raises $500k funding to advance AI-powered customer service 0 By Tom Jackson on October 12, 2023 News , Southern Africa South African startup Cue , a frontrunner in AI-driven customer service solutions, has raised US$500,000 in funding to enhance its mission of improving customer service by harnessing the potential of cutting-edge large language models (LLM). Founded in 2018, Cue enables businesses to help customers quickly and efficiently with chatbots and live chat on WhatsApp and social channels.
SA startup Cue raises $500k funding to advance AI-powered customer service 0 By Tom Jackson on October 12, 2023 News , Southern Africa South African startup Cue , a frontrunner in AI-driven customer service solutions, has raised US$500,000 in funding to enhance its mission of improving customer service by harnessing the potential of cutting-edge large language models (LLM). Founded in 2018, Cue enables businesses to help customers quickly and efficiently with chatbots and live chat on WhatsApp and social channels.
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.
The line shows cumulative reported funding over the period; + labels show new capital added between points when there is room. Toggle on-bar figures, plus the niche-peer and market averages, to read this company against its cohort. Benchmarks are modeled medians.
Stages are modeled from round size (public records carry no series label). Ladder is contiguous — every modeled rung has a record.
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 ai/ml sector profile. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 2067 companies in AI / ML. 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 69% of sector peers (real $). Modeled value above 69% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Pre-Seed) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful. This company ranks #26 of 85.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Semiotic AI, Inc. | Pre-Seed | $1.0M | $21.4M | 7.92× |
| Strongest AI Inc. | Pre-Seed | $1.0M | $19.1M | 7.07× |
| Quipus AI, Inc. | Pre-Seed | $1.0M | $14.2M | 5.26× |
| Fabrica AI Corp. | Pre-Seed | $850K | $9.9M | 3.67× |
| Ai Nutrition Corp. | Pre-Seed | $825K | $9.7M | 3.59× |
| Apt AI, Inc. | Pre-Seed | $750K | $7.4M | 2.74× |
| Chorus AI Inc. | Pre-Seed | $805K | $6.7M | 2.49× |
| Talents Arena | Pre-Seed | $750K | $6.7M | 2.47× |
| Artemis AI Investments LLC | Pre-Seed | $450K | $6.2M | 2.31× |
| ML Tech Holdings, Inc. | Pre-Seed | $1.0M | $6.1M | 2.28× |
| Evolve Media AI Corp | Pre-Seed | $818K | $5.9M | 2.19× |
| Industrial Intelligence,Inc | Pre-Seed | $919K | $5.8M | 2.13× |
| Cue this company | Pre-Seed | $500K | $4.0M | 1.49× |
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. |
|---|---|---|---|---|---|
| Pre-Seed | $500K | 2023-10-12 | $2.8M | $4.0M | 45% |
Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.
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.
Cue 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 |
|---|---|---|---|---|---|
| Bacon AI Inc. | AI / ML | Pre-Seed | $500K | $4.3M | same sector · same stage |
| eDiscovery AI LLC | AI / ML | Pre-Seed | $500K | $2.8M | same sector · same stage |
| Leadoff.ai, Inc. | AI / ML | Pre-Seed | $500K | $3.0M | same sector · same stage |
| Modern AI LLC | AI / ML | Pre-Seed | $500K | $2.5M | same sector · same stage |
| Multikor.ai, Inc. | AI / ML | Pre-Seed | $500K | $1.2M | same sector · same stage |
| Savantz Ai Llc | AI / ML | Pre-Seed | $500K | $3.0M | same sector · same stage |
| Novella AI, Inc | AI / ML | Pre-Seed | $499K | $2.9M | same sector · same stage |
| Libra AI, Inc. | AI / ML | Pre-Seed | $520K | $1.1M | same sector · same stage |
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 |
|---|---|---|---|---|
| Cuebox Inc. | Other Technology | Seed | $19.5M | 69% |
| CueZen Inc. | Other Technology | Series A | $20.8M | 67% |
| Slot Check, Inc. | Other Technology | Seed | $601K | 67% |
| Capture Llc All your notes, tasks, and files in one super-fast workspace. | Other Technology | Series A | $4.2M | 67% |
| Cuebiq, Inc. | Other Technology | Series B | $999.7M | 67% |
| Flow Left to right: Flow founders Jonathan Liebmann, Gil Sperling, Daniel Levy (1) SA property tech startup Flow raises $1.47m funding round 0 By Tom Jackson on January 29, 2019 News , Southern Africa South African property startup Flow, which has developed an app that rewards tenants for good behaviour, has raised a ZAR20 million (US$1.47 million) funding round to fuels its growth and add to its service. Founded by Daniel Levy, Gil Sperling and Jonathan Liebmann, Flow rewards tenants for registering, adding their property details, paying their rent on time, and looking after their homes. | — | Growth/Late | $26.1M | 67% |
| Cue Health Inc. | Healthtech | Series D+ | $2.6B | 66% |
| Pointwise App that tells you which credit cards to get and when | — | — | — | 66% |
See where Cue sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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