current — rebuilt 3m ago
AegisAI agents investigate the intent and context behind every email, stopping sophisticated phishing and BEC while leaving legitimate mail alone. See the difference in five days. observed
Published in the index on >=2 sourced evidence families, including a funding source that names the company and its round at https://techcrunch.com/2026/07/23/aegisai-founded-by-former-google-security-execs-lands-36m-to-stop-ai-driven-spear-phishing/. Identity rests on that source, not on the name alone.
The ranked index lists private AI companies with two or more independent sourced evidence families; its Early-stage view also leaves out rounds of $100M or more that no source assigns a stage. This profile is listed in the ranked index. It is a statement about evidence and mandate, and about nothing else.
Institutional venture backing and a stage band inside seed..Series A are both evidenced below.
Assessed 2026-11-12 for seed/Series-A sourcing.
Five evidence lanes (activity, capital, infra, hiring, ecosystem) as within-cohort percentiles, combined with evidence-breadth weights over the 60-company baseline cohort. The ± band widens with missing lanes — it measures what the score stands on. 6 signals in the last 60 days back this number.
Derived connections from primary evidence — Form D officer rosters and shared lead investors. A shared name is a lead, not proof of identity.
Subdomains appearing in public certificate-transparency logs — infrastructure standing up, dated at detection. Intent labels are deterministic (token map), not guessed.
↗ Strongest signal: funding_recency (14% of the score).
↓ Scored on 3 of 5 components — adoption, developer had no computable metric.
The skeptic's read what this company has said, judged against what happened
Not evaluated ≠ false — the deadline or the evidence hasn't arrived. A forecast with no target date cannot be graded and is counted as insufficient temporal evidence. Nothing here is editorial: every count is a ledger row you can open on the Proof page.
No single number decides. Layers can disagree — that's the point. New to this? →
The platform's own early signals for this company — hard-to-fake observations. Where one was recorded before a raise, the gap is shown; that is an observation, not a prediction.
VentureSignalScore 44.6/100 for aegisai, composed from 3 of 5 components (security formula), discounted ×0.88 for 60% signal coverage
| Component | Weight | Normalized | Contribution |
|---|---|---|---|
| funding_recency | 0.2 | 0.6877 | |
| funding_magnitude | 0.3 | 0.4225 | |
| hiring | 0.1 | 0.4 |
funding.round.announced_on 2026-07-24 artifact ↗ funding.round.amount_usd 2026-11-12 artifact ↗ jobs.postings.engineering 2026-11-13 page An evidence gap, not proof of falsity: Form D is not always required (foreign offerings, certain exemptions) or may not be filed yet.
A first sale, a filing, an amendment and a public announcement are not the same event, and one date may not stand in for another. Where the latest financing date cannot be established from what we hold, this says unknown rather than substituting a date we do have.
A reported round dated 2026-07-23 by its own source.
Companies coupled to this one by a shared investor — if a common backer pulls back or a fund hits trouble, the shock propagates across the set. More shared investors = tighter coupling.
Showing the 34 current records. Full observation history — 840 superseded records →
| Attribute | Value | Kind | Source | Observed | State | Conf. |
|---|---|---|---|---|---|---|
ai.document.claims | {"claims": [{"claim": "AegisAI announced a Series A funding round of $49M led by Battery Ventures.", "quote": "We announced our Series A: $49M led by Battery Ventures. Read more.", "topic": "Funding", | observed | artifact ↗ | 2026-08-16 | promoted | 0.50 |
ai.technical.assessment | {"council": {"dissent": false, "members": [{"agent": "technical_specialist", "domain": "technical", "signal": 0.3, "signal_source": "model"}, {"agent": "product_docs_specialist", "domain": "product_do | derived | council | 2026-07-25 | promoted | 0.15 |
buyer_fit.assessment | {"buyer": "seed/Series-A sourcing", "method": "Backlog pass 2026-10-24: applied the record_buyer_fit.ts fit rule to this company's held primary-source financing evidence (funding.round.* / sec.form_d. | observed | readiness | 2026-11-13 | normalized | 0.90 |
buyer_fit.status | qualified | observed | assessment | 2026-11-12 | normalized | 0.90 |
common_name | AegisAI | observed | artifact ↗ | 2026-07-24 | normalized | 0.90 |
common_name | AegisAI | observed | artifact ↗ | 2026-07-24 | normalized | 0.60 |
community.hn.max_points | 0 | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.mentions | 0 | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.rumors | [] | observed | artifact ↗ | 2026-09-28 | normalized | 0.20 |
community.hn.top_story | {} | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
description | AI-native email security agents evaluating sender intent, links, attachments and contextual signals. | observed | curated | 2026-07-24 | normalized | 0.80 |
description | AegisAI agents investigate the intent and context behind every email, stopping sophisticated phishing and BEC while leaving legitimate mail alone. See the difference in five days. | observed | artifact ↗ | 2026-11-06 | normalized | 0.70 |
domain | www.aegisai.ai | observed | artifact ↗ | 2026-07-24 | normalized | 0.95 |
funding.round.amount_usd | 36000000 | observed | artifact ↗ | 2026-11-12 | normalized | 0.90 |
funding.round.announced_on | 2026-07-23 | observed | artifact ↗ | 2026-07-24 | normalized | 0.90 |
funding.round.lead_investors | ["Battery Ventures"] | observed | artifact ↗ | 2026-11-12 | normalized | 0.90 |
funding.round.source_url | https://techcrunch.com/2026/07/23/aegisai-founded-by-former-google-security-execs-lands-36m-to-stop-ai-driven-spear-phishing/ | observed | artifact ↗ | 2026-11-12 | normalized | 0.90 |
funding.round.stage | series_a | observed | artifact ↗ | 2026-11-12 | normalized | 0.90 |
gate.accumulation | {"outcome": "document_created", "obs_count": 15, "source_id": "01M04HS4EXJBSHW5XN4DF77X3Y", "trigger_path": "accumulation_gate", "collector_count": 3, "artifact_collector": "website_collector"} | observed | artifact ↗ | 2026-08-16 | normalized | 0.60 |
identity.verification | {"method": "Published in the index on >=2 sourced evidence families, including a funding source that names the company and its round at https://techcrunch.com/2026/07/23/aegisai-founded-by-former-goog | observed | assessment | 2026-11-12 | normalized | 0.90 |
index.ai_tie | PURE_AI | observed | classify | 2026-07-25 | derived | 0.60 |
jobs.board_url | https://www.aegisai.ai/careers | observed | page | 2026-11-13 | normalized | 0.85 |
jobs.postings.engineering | 9 | observed | page | 2026-11-13 | normalized | 0.85 |
jobs.postings.observed | {"url": "https://www.aegisai.ai/careers", "basis": "job_links", "method": "read automatically from the job links on the company's own careers page (two or more distinct titles required)", "titles": [" | observed | page | 2026-11-13 | normalized | 0.85 |
jobs.postings.total | 26 | observed | page | 2026-11-13 | normalized | 0.85 |
metric.venture.funding_amount_usd | 36000000 | derived | calc | 2026-07-24 | derived | 0.90 |
metric.venture.funding_recency_days | 114.0423 | derived | calc | 2026-11-14 | derived | 0.90 |
score.venture_signal | 44.6 | derived | calc | 2026-11-13 | derived | 0.63 |
sector | security | derived | calc | 2026-11-13 | normalized | 0.75 |
signal.attributed_claims | 8 | observed | intelligence.claims | 2026-09-26 | parsed | 0.90 |
source.document.reference | {"kind": "document", "title": "aegisai: AegisAI | The Agentic AI Email Security Platform", "source_id": "01M04HS4EXJBSHW5XN4DF77X3Y", "extract_ref": "artifact:sha256:4a7bbf8b82864d4626b1ea3d092914b246 | observed | artifact ↗ | 2026-08-16 | normalized | 0.95 |
website_url | https://www.aegisai.ai | observed | enrichment | 2026-07-24 | normalized | 0.75 |
website_url | https://www.aegisai.ai | observed | artifact ↗ | 2026-07-24 | normalized | 0.95 |
website.homepage.has_pricing_link | false | observed | artifact ↗ | 2026-07-24 | normalized | 0.80 |