Ema
☆ WatchEma, a Universal AI Employee, is the leading enterprise partner for building and deploying AI Agents across all roles and industries observed
current — rebuilt 4m ago
Ema, a Universal AI Employee, is the leading enterprise partner for building and deploying AI Agents across all roles and industries observed
No person- or entity-level identity check is on record for this company. A name match is not one.
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 ranked in the All-companies view. It is not in the early-stage list: a sourced buyer-fit check placed it outside the seed/Series-A mandate. It is a statement about evidence and mandate, and about nothing else.
Evidence places this company outside this buyer’s market. The profile stays published; this labels it.
Assessed 2026-10-24 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. 11 signals in the last 60 days back this number.
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 (17% 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 54.8/100 for ema, composed from 3 of 5 components (enterprise formula), discounted ×0.88 for 60% signal coverage
| Component | Weight | Normalized | Contribution |
|---|---|---|---|
| Funding recency | 0.2 | 0.8572 | |
| Funding magnitude | 0.3 | 0.5546 | |
| Hiring | 0.1 | 0.3612 |
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 2026-09-23 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 32 current records. Full observation history — 385 superseded records →
| Attribute | Value | Kind | Source | Observed | State | Conf. |
|---|---|---|---|---|---|---|
ai.document.claims | {"claims": [{"claim": "Ema provides AI employees for HR, IT, and Finance.", "quote": "AI Employees for HR, IT, and Finance", "topic": "Product Description", "section": 0, "confidence": 1}, {"claim": " | observed | artifact ↗ | 2026-11-12 | promoted | 0.50 |
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 | not_a_fit | observed | assessment | 2026-10-24 | normalized | 0.90 |
common_name | Ema | observed | artifact ↗ | 2026-09-28 | normalized | 0.90 |
common_name | Ema | observed | artifact ↗ | 2026-11-12 | 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 ↗ | 2026-09-30 | normalized | 0.20 |
community.hn.top_story | {} | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
description | Deploy AI employees across enterprise HR IT and finance departments | observed | derived | 2026-10-01 | normalized | 0.60 |
description | Ema, a Universal AI Employee, is the leading enterprise partner for building and deploying AI Agents across all roles and industries | observed | artifact ↗ | 2026-11-12 | normalized | 0.70 |
domain | www.ema.ai | observed | artifact ↗ | 2026-11-12 | normalized | 0.95 |
early_signal.assessment | {"rule": "operational-early-signal-v2", "missing": ["a financing round is held — assessed on the funding-verified path (buyer_fit), not as an operational signal", "outside the mandate (buyer_fit_not_a | observed | assessment | 2026-11-13 | normalized | 0.90 |
early_signal.status | insufficient | observed | assessment | 2026-11-13 | normalized | 0.90 |
funding.round.amount_usd | 77000000 | observed | artifact ↗ | 2026-09-23 | normalized | 0.90 |
funding.round.announced_on | 2026-09-23 | observed | artifact ↗ | 2026-09-23 | normalized | 0.90 |
funding.round.lead_investors | ["Creaegis"] | observed | artifact ↗ | 2026-11-13 | normalized | 0.90 |
funding.round.source_url | https://siliconangle.com/2026/09/23/ema-raises-77m-in-funding-to-deploy-ai-employees-across-enterprise-hr-it-and-finance-departments/ | observed | artifact ↗ | 2026-09-23 | normalized | 0.90 |
funding.round.stage | series_b | observed | artifact ↗ | 2026-09-23 | normalized | 0.90 |
gate.accumulation | {"outcome": "document_created", "obs_count": 15, "source_id": "01M78J195EQGQS7ENWBW9MTZ3B", "trigger_path": "accumulation_gate", "collector_count": 3, "artifact_collector": "website_collector"} | observed | artifact ↗ | 2026-11-12 | normalized | 0.60 |
jobs.board_url | https://www.ema.ai/careers | observed | page | 2026-11-13 | normalized | 0.85 |
jobs.postings.engineering | 7 | observed | page | 2026-11-13 | normalized | 0.85 |
jobs.postings.observed | {"url": "https://www.ema.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": ["Soft | observed | page | 2026-11-13 | normalized | 0.85 |
jobs.postings.total | 8 | observed | page | 2026-11-13 | normalized | 0.85 |
metric.venture.funding_amount_usd | 77000000 | derived | calc | 2026-09-28 | derived | 0.90 |
metric.venture.funding_recency_days | 52.1929 | derived | calc | 2026-11-14 | derived | 0.90 |
score.venture_signal | 54.8 | derived | calc | 2026-11-14 | derived | 0.63 |
sector | enterprise | derived | calc | 2026-11-06 | normalized | 0.65 |
source.document.reference | {"kind": "document", "title": "ema: Ema - Universal AI Employee, AI Agents Tool for Enterprise", "source_id": "01M78J195EQGQS7ENWBW9MTZ3B", "extract_ref": "artifact:sha256:3be4e8929ac76c3e26fa5dbeeb08 | observed | artifact ↗ | 2026-11-12 | normalized | 0.95 |
website_url | https://www.ema.ai | observed | enrichment | 2026-11-12 | normalized | 0.85 |
website_url | https://www.ema.ai | observed | artifact ↗ | 2026-11-12 | normalized | 0.95 |
website.homepage.has_pricing_link | false | observed | artifact ↗ | 2026-11-12 | normalized | 0.80 |