AurelianSummer 2022Active☆Watch⊞Compare

Aurelian is one of 30 Public Safety & Security companies tracked from Seattle, WA, USA, on record since 2022. By capital raised it ranks mid-pack (ahead of 67% 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”

Automating non-emergency calls for 911 centers

Aurelian builds AI tools that help 911 centers handle more with less, so telecommunicators can stay focused on what matters most and communities get the response they need. AVA is a conversational AI agent that answers non-emergency calls; the agent routes, triages, and resolves the calls without any human intervention. By handling administrative calls like noise complaints, lost dogs, and parking inquiries, AVA eliminates hold times and lets call-takers focus their energy on actual emergencies. CORA supports call-takers on the calls that matter most. CORA is an on-screen assistant that delivers real-time SOP checklists, smart reminders, and contextual guidance as an emergency call unfolds, so dispatchers stay calm, consistent, and confident when every second counts. When AVA detects an emergency mid-call, it transfers the caller to a telecommunicator and passes along the caller details, location, incident type, and key statements directly into CORA. The call-taker never starts from scratch. The problem we're solving is serious. The average emergency communications center is 30% understaffed nationwide. Staffing shortages drive burnout and attrition, which makes the shortage worse. Meanwhile, 60-80% of the calls coming in aren't even emergencies at all. Aurelian addresses both sides of that equation: AVA reduces unnecessary call volume, and CORA makes every emergency call more manageable for the people handling it. Aurelian is live in centers across the country, answering thousands of non-emergency calls every day, and is backed by New Enterprise Associates and Y Combinator. Aurelian is growing rapidly; we are hiring people who want to help scale this work and make a real difference in public safety infrastructure for communities across the country.

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 30 companies in Public Safety & Security. 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 67% of sector peers (real $). Modeled value above 67% 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.

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

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