Companies · Cybersecurity
San Francisco · CA, USA · Cybersecurity · refined from filed group “Other Technology” · founded 2023 · https://open.cx
Diligence memoA one-page analyst read on Open Inc. — recommendation, valuation, rhythm, risks.→Open Inc. looks fair against its niche peers and is dormant on financing cadence.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the cybersecurity sector profile.
Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.
No named principal in this company's public records yet — see all operators below.
Explore how these operators interlock with other companies in the operator network.
Open Inc. is one of 270 Cybersecurity companies tracked from San Francisco, CA, USA, on record since 2023. By capital raised it ranks mid-pack (ahead of 57% of sector peers), and in the upper tier 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”
Enterprise AI customer support
Open is an AI-powered, all-in-one customer support and communication platform — used in production by: Print.com, Mollie.com, Viva.com, More.com, Orderchamp.com, OneCarNow.com, and other major enterprise companies. We specialize in solving and automating complex support cases across email, web, phone, SMS, and WhatsApp. We’re a research-based company currently working on releasing Support-Bench, the world’s most comprehensive AI customer support benchmark. Our team consists of +3 programming language builders, a nationwide cybersecurity competition winner at age 16, and a dentist.
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). No record for: Pre-Seed, Seed — the company may have raised it under a different exemption, merged it into an adjacent record, or skipped it. Sequence completeness: 33%.
Round size and date are reported; the stage label is inferred from round size (latest is Series A — a $4.0M–$15M round). Valuation is modeled from stage benchmarks scaled by the cybersecurity sector profile. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 270 companies in Cybersecurity. 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 57% of sector peers (real $). Modeled value above 81% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Series A) 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 #6 of 17.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Cequence Security, Inc. | Series A | $21.6M | $428.0M | 3.02× |
| Securitize, Inc. | Series A | $24.9M | $386.4M | 2.73× |
| Living Security, Inc. | Series A | $14.0M | $328.7M | 2.32× |
| SecurEnds, Inc. | Series A | $15.0M | $311.9M | 2.20× |
| Threat X, Inc. | Series A | $24.2M | $213.8M | 1.51× |
| Open Inc. this company | Series A | $5.4M | $170.1M | 1.20× |
| Variance, Inc. | Series A | $5.1M | $160.8M | 1.13× |
| Live Labels Security LLc | Series A | $5.0M | $147.9M | 1.04× |
| Fortress Security Holdings, LLC | Series A | $4.5M | $141.8M | 1.00× |
| Mission Secure, Inc. | Series A | $10.7M | $129.2M | 0.91× |
| Cyberinc Corp | Series A | $15.9M | $116.6M | 0.82× |
| Secured Finance AG | Series A | $4.1M | $98.0M | 0.69× |
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. |
|---|---|---|---|---|---|
| Series A | $5.4M | 2019-11-27 | $24.5M | $170.1M | 90% |
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.
Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.
| Person | Role | Also runs | Tied since |
|---|---|---|---|
| Raed Khawaja | — | — | 2019-11 |
Open Inc. 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 |
|---|---|---|---|---|---|
| Uplevel Security, Inc. | Cybersecurity | Series A | $5.3M | $167.7M | same sector · same stage |
| Gray Swan Security Inc. | Cybersecurity | Series A | $5.7M | $34.0M | same sector · same stage |
| Phin Security, Inc. | Cybersecurity | Series A | $5.7M | $37.1M | same sector · same stage |
| Variance, Inc. | Cybersecurity | Series A | $5.1M | $160.8M | same sector · same stage |
| Live Labels Security LLc | Cybersecurity | Series A | $5.0M | $147.9M | same sector · same stage |
| Pareto Cyber, Inc. | Cybersecurity | Series A | $5.0M | $72.8M | same sector · same stage |
| Staked Securely, Inc. | Cybersecurity | Series A | $5.0M | $157.5M | same sector · same stage |
| Right-Hand Cyber Security, Inc. | Cybersecurity | Series A | $5.9M | $61.9M | 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 |
|---|---|---|---|---|
| OpenSight AI-powered customer support automation for fast-growing companies | AI / ML | — | — | 80% |
| OutRival, Inc. Outbound AI Agents for Education, Insurance, and Travel | Insurance | — | — | 78% |
| OpenProse An open-source operating system for reliable long-running agents | AI / ML | — | — | 77% |
| Calltree Enterprise-grade AI support reps for call centers | AI / ML | — | — | 76% |
| Wordware AI agents you can rely on | AI / ML | — | — | 75% |
| Openmart Local business data intelligence platform | SaaS / Software | — | — | 75% |
| Dataleap AI Employees for the Enterprise | AI / ML | — | — | 75% |
| Diana Give Your Employee An Employee | AI / ML | — | — | 75% |
See where Open Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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