New York · NY, USA · founded 2016 · https://voiceops.com
Diligence memoA one-page analyst read on Voiceops — recommendation, valuation, rhythm, risks.→Voiceops: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
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”
We help B2C companies learn from every customer interaction
The richest data source about customers — their conversations — is the least accessible. Their mission is to provide easy access to customer conversations, and make voice data queryable. Their product analyzes the content of sales and support conversations and generates insights on phrases that maximize successful outcomes.
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 8525 companies in this sector. 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 96% of sector peers (real $). Modeled value above 96% 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.
Voiceops is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
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 |
|---|---|---|---|---|
| Dialogus Infra for enterprise voice agents. | AI / ML | — | — | 80% |
| Besimple AI Voice data for AI | AI / ML | — | — | 79% |
| Boom AI AI agents that recover lost revenue through real conversations. | AI / ML | — | — | 79% |
| VoxOps AI Voice AI for Automotive | AI / ML | — | — | 78% |
| Samora AI Multilingual voice agents that outperform humans | AI / ML | — | — | 78% |
| VOIQ Conversational AI VoiceBots for Business | AI / ML | — | — | 78% |
| Leaping AI AI voice and texting agents | Insurance | — | — | 78% |
| RowFlow Replacing forms with AI conversations | AI / ML | — | — | 77% |
See where Voiceops sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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