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OPAQUE
Confidential AI platform that runs agentic and analytics workloads inside TEE-backed environments with verifiable attestation and policy enforcement on sensitive data.
OPAQUE’s team is joining Anthropic as of October 13, 2026, and OPAQUE Systems is winding down its operations. The open-source projects continue at AgenTrust. OPAQUE’s announcement.
Regulated enterprises that must run AI or analytics on sensitive data inside confidential VMs with hardware-backed attestation.
Teams without TEE-capable cloud regions, or buyers that only need classic de-identification before an ordinary LLM call.
Verdict
OPAQUE was a good fit for privacy and security teams that needed confidential AI with runtime attestation, not just pre-processing redaction. Pricing was enterprise and sales-quoted with no public tier table. Practitioners and partner materials emphasized TEE-backed execution and policy proofs; it was a conditional pick when confidential computing was a hard requirement rather than a nice-to-have. On October 13, 2026 OPAQUE announced that its team is joining Anthropic and that OPAQUE Systems is winding down. Its open-source projects continue under AgenTrust, and the company has not published a transition plan for existing customers.
Score Breakdown
How OPAQUE scores in the categories that matter to its buyers.
The Field at a Glance
Where OPAQUE ranks among Privacy & compliance vendors we reviewed, by Overall Score and relative typical engagement cost.
OPAQUE scores 6.3 versus Limina at 5.8 in privacy & compliance. Limina is stronger for on-environment de-identification before model use; OPAQUE is the confidential-runtime / TEE path. Relative typical engagement cost for OPAQUE is higher as sales-led confidential platform work.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| AI on encrypted / sensitive data | Strong | Core confidential runtime. |
| Hardware attestation for audits | Strong | Exportable attestations. |
| Simple PII scrub before SaaS LLM | Mixed | De-id tools may be enough. |
| Regions without confidential VMs | Poor | TEE capacity is a hard gate. |
Review Excerpts
Excerpts from public reviews and forum discussions of OPAQUE. Paid reviews and pay-for-play sites were excluded.
“OPAQUE runs agentic AI workloads on sensitive data inside hardware-secured environments, keeping data encrypted during execution and continuously verifying that approved policies are enforced.”
“ServiceNow used OPAQUE’s confidential AI platform to cut commission inquiry times from days to seconds while keeping sensitive compensation data protected in use.”
“Pricing is not publicly disclosed, which makes cost comparison difficult for mid-market buyers evaluating against open-source or pay-as-you-go alternatives.”
“Confidential Agents require TEE-capable hardware, which may not be available in all cloud regions, potentially limiting deployment flexibility.”
Company Facts
- Founded
- 2021 (CB Insights)
- Headquarters
- San Francisco, California, United States (CB Insights)
- Total funding raised
- $55.5M (CB Insights)
- Key investors
- Anthropic, Race Capital, Intel Capital, Storm Ventures, Walden Catalyst Ventures (CB Insights)
- Website
- opaque.co
Methodology
This page is an independent evaluation of OPAQUE for buyers comparing options in privacy & compliance. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. OPAQUE did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for privacy & compliance)
- Confidential AI runtime
- Attestation & policy proofs
- Cloud TEE deployment fit
- Public evidence maturity
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
OPAQUE is graded here as privacy & compliance. Criteria scores can move as more review volume and product checks are added.