Opsis Emotion AI
Agent25Agent Readiness: 25/100. Bottom 25%. Measured by StartupHub.ai. Median 41.Trust74Data Trust: 74/100. Above median. Measured by StartupHub.ai. Median 61.Psychology-focused emotion AI models for health, fraud, threat, and mental well-being.
About
Opsis Emotion AI develops psychology-focused emotion language models that enable devices to understand human emotion through non-intrusive, privacy-assured analysis. Their technology is applied to critical problems such as health prediction, fraud detection, threat recognition, and mental well-being assessment. Opsis serves sectors including health science, education, and public safety by providing solutions for identifying negative emotions, deceptive behaviors, suspicious activities, and compromised mental well-being.
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Key facts
- Website
- opsis.ai
- Headquarters
- Tel Aviv, Israel
- Founded
- 2017
- Employees
- 11
- Total funding
- $6M (Seed)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 1 Oct 2023 | Seed | $6M | Silverton Partners |
Tech stack
Detected on opsis.ai, last scanned 8 Nov 2026. Run your own scan
- Frontend
- jQuery, Bootstrap
- Backend
- PHP
- Analytics
- Segment
- SEO
- Yoast SEO
- CMS / Builders
- WordPress
- CDN
- Cloudflare
- Email provider
- Self-hosted
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Frequently asked
Is Opsis Emotion AI trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Opsis Emotion AI is 74 out of 100, a generally safe rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Opsis Emotion AI raised?
Opsis Emotion AI has raised a total of $6M in funding. The most recent round on record is Seed.
How many employees does Opsis Emotion AI have?
Opsis Emotion AI has approximately 11 people on record.
SEC filings, insider activity, nonprofit links and pay benchmarks for Opsis Emotion AI:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules
