Tinfoil · Jul 2026
Tinfoil launched cached prompt pricing for the Inference API and explained how client-side cache secrets prevent even Tinfoil from probing customer cache namespaces.
Tinfoil makes your AI workflows secure, verifiable, and private.
Public company, workplace, funding, and market signals
Tinfoil is a San Francisco-based private AI company that builds verifiably private chat, an OpenAI-compatible inference API, and confidential-computing containers that run AI workloads inside secure hardware enclaves so users can verify the operator cannot access their data.
Primary product
Private Inference API
Founded
2024
Headquarters
San Francisco, California, United States
Team size
1-10 employees
Industry
Software Development
Sub-industry
Private AI / confidential computing / AI infrastructure
Offices
0 jobs at Tinfoil
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Business model
Stage
seed
Total raised
$7.8M
Latest round
Venture · May 2026
Leadership
Co-founder & CEO
Co-founder
Co-founder
Founding Engineer
Founding Engineer
Head of Operations
Investors
Mission-driven, technical, open-source, and unusually transparent; the company emphasizes building in public, independent builders, and security-critical systems that are auditable rather than based on trust.
Compensation
No public employee salary bands were found. Public pricing signals are product-side only: Private Chat is $20/month, the inference API is usage-based, and Tinfoil Containers are $20/month plus usage.
Pricing
Consumer subscription for chat, usage-based pricing for the inference API, and subscription plus usage for containers; enterprise plans are also available.
Differentiators
Technology
Customers
Competitors
Estimated revenue
~$0.65M-$2.0M ARR (third-party estimate; public sources vary)
Estimated monthly visits
36.8K
Traffic estimate as of Jun 2026
Tinfoil · Jul 2026
Tinfoil launched cached prompt pricing for the Inference API and explained how client-side cache secrets prevent even Tinfoil from probing customer cache namespaces.
Tinfoil · Jun 2026
Tinfoil published benchmark results for confidential computing overhead on Hopper and Blackwell across inference and training workloads.
Tekedia · May 2026
Tekedia Capital announced an investment in Tinfoil and framed privacy-preserving AI as an important infrastructure layer for the AI economy.
Tinfoil · Mar 2026
Tinfoil launched Containers for end-to-end verifiably private AI services, extending enclave protections from inference to application backends and training pipelines.
Tinfoil · Jan 2026
Tinfoil described its private web-search design, including enclave-based query generation and PII safeguards for searches triggered from chat.