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Tinfoil

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uuid00061w6

Namestring
Tinfoil
Legal namestring
Tinfoil, Inc.
Websiteurl
tinfoil.sh
Company typeenum
Private
Founded yearint
2024
Descriptiontext

Tinfoil is a San Francisco-based private AI infrastructure company founded in 2024 that delivers AI inference and compute inside hardware-isolated confidential virtual machines (AMD SEV-SNP, Intel TDX, NVIDIA Hopper and Blackwell GPUs with confidential computing enabled). The core technical premise is that user data is encrypted in memory and only decrypted inside the enclave, with cryptographic remote attestation verified client-side on every connection, so that even Tinfoil cannot access customer data during processing. The product surface comprises three offerings: Private Chat (a hosted AI chat interface at $20/month, available on web and iOS), Private Inference API (an OpenAI-compatible API with usage-based pricing supporting chat, embeddings, audio transcription, and document processing across open-source models), and Tinfoil Containers (launched March 2026, enabling any Docker image to run inside an attested enclave, priced at $20/month plus usage). Revenue mechanics blend low-friction self-serve PLG (subscriptions plus usage-based API) with an enterprise field-sales motion for custom GPU capacity, multi-year contracts, and signed order forms.

The company goes to market through a developer-first model: instant online sign-up, immediate API key issuance, six SDKs (Python, JavaScript, Go, Rust, Swift, CLI), and integration with coding agents such as OpenCode, Cline, Kilo Code, Factory Droid, and Hermes Agent via Tinfoil Proxy. Customer evidence is concentrated in research, education, and frontier-AI use cases — UC Berkeley running custom Docker containers, the Open Anonymity Project at Stanford and University of Michigan migrating from Azure confidential containers, Workshop Labs building the Silo multi-GPU private post-training and inference stack on Tinfoil, and Pour Demain running gray-box interpretability audits on a 744B-parameter model without exposing weights. The company has raised approximately $7.75M in total funding across a July 2024 pre-seed ($625K) and a July 2025 seed ($7.125M led by Scale Rise with Y Combinator and Pioneer Fund), followed by a Tekedia Capital investment in May 2026. Operational posture includes SOC 2 Type II certification, public transparency logs via Sigstore, membership in the Confidential Computing Consortium, and partnerships with NVIDIA (Inception), Meta (Llama case study), Red Hat, Intel (Liftoff), Cloudflare (Launchpad), Canonical, Trail of Bits, and MIT.

Short descriptiontext

Tinfoil is a San Francisco-based confidential computing platform that delivers verifiably private AI inference and containerized workloads inside hardware-isolated enclaves, serving developers, researchers, and enterprises via an OpenAI-compatible API, hosted Private Chat, and Tinfoil Containers.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
confidential AI inference, secure hardware enclaves, private AI platform, confidential computing API, verifiable AI privacy
Industry5 codes
1Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs)
CodeHDAAAKAIPrimaryYes
2Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy)
CodeHDAAAMADPrimaryNo
3Privacy-Preserving On-Device ML (secure enclaves, TEEs, differential privacy)
CodeHDAAAJAHPrimaryNo
4Secure Model Deployment & Runtime Protection (sandboxing, isolation)
CodeHDAAAKAHPrimaryNo
5Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII)
CodeHDAEANAGPrimaryNo
Product category
Confidential AI Infrastructure
Social media profiles3 records
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model4 records
1Private Chat Subscription
TypeSubscription Recurring
Description

Monthly subscription at $20/month for Private Chat service providing access to AI assistants with up to 2M tokens/hour, projects, web search, cross-device sync, speech-to-text, and document upload.

tinfoil.sh
2Private Inference API
TypeUsage Based
Description

Usage-based pricing model for API access. Pay per token/usage for AI inference through OpenAI-compatible endpoints. No data retention of prompts or responses after response is returned.

tinfoil.sh
3Tinfoil Containers
TypeOthers
Description

Hybrid pricing model combining $20/month base fee plus usage-based charges for container deployments running Docker images in secure enclaves with GPU allocation options.

tinfoil.sh
4Enterprise GPU Access
TypeSubscription Recurring
Description

Custom enterprise pricing for GPU access requests with dedicated capacity for larger workloads, requiring use case description and custom engagement.

tinfoil.sh
Marketing channels9 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Pricing details4 tiers
1Private Chat - Individual
ModelSubscriptionBilling cadenceMonthly
Notes

$20/month. Includes: up to 2M tokens/hour, access to projects, web search capability, chat across web and iOS, sync across devices, speech to text, document upload, and multimodal AI. Fair use policy applies with possible throttling during peak demand.

tinfoil.sh
2Private Inference API
ModelUsage-basedBilling cadencePay-as-you-go
Notes

Usage-based pricing. Prompts and responses not retained after response returned. OpenAI-compatible endpoints. Available through dashboard at dash.tinfoil.sh.

tinfoil.sh
3Tinfoil Containers
ModelHybridBilling cadenceMonthly
Notes

$20/month base fee plus usage-based charges. Allows running any Docker image in secure enclave. GPU allocation available (1, 2, or 4 GPUs).

tinfoil.sh
4Enterprise GPU Access
ModelSubscriptionBilling cadenceMulti-year contract
Notes

Request GPU access through contact form. Custom pricing based on use case and capacity requirements. Enterprise-specific service levels and support response times available through signed order forms.

tinfoil.sh
GTM typeB2B and B2C
B2B and B2C
Offering typeSoftware
Software
Brand1 of 3 records shown
1Private Chat
Description

A hosted AI chat interface where chat inference runs inside secure enclaves with encrypted backups.

tinfoil.sh
+2 more records
Core offering1 text field

Tinfoil provides verifiably private AI infrastructure by running AI inference workloads inside hardware-isolated confidential computing enclaves (AMD SEV-SNP, Intel TDX, NVIDIA Hopper and Blackwell GPUs). The company offers Private Chat for individual consumers, an OpenAI-compatible Private Inference API for developers, and Tinfoil Containers for deploying custom Docker workloads in secure enclaves with cryptographic remote attestation verified client-side on every connection.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • Less than 10% performance overhead on production workloads for private post-training and inference
+2 more records
Product overview1 text field

Tinfoil is a private AI platform built around secure hardware enclaves and confidential computing, offering three principal services: Private Chat (hosted AI chat interface with enclave-based inference and encrypted backups), Private Inference API (OpenAI-compatible inference endpoints with zero data retention), and Tinfoil Containers (confidential compute platform for deploying custom Docker workloads in secure enclaves). The platform also provides developer tooling including Tinfoil Proxy for attestation-verified connections and an Admin API for programmatic management. All services run on NVIDIA GPU confidential computing infrastructure (Hopper and Blackwell architectures) with cryptographic attestation, transparency logs, and SOC 2 Type II compliance.

Product and service3 records
1Private Chat
CategoryConsumer AI Chat
Description

Hosted AI chat interface where inference runs inside hardware-isolated secure enclaves, ensuring conversations remain private and inaccessible even to Tinfoil. Includes encrypted chat backups with device-held keys, multi-device sync, web search, speech-to-text, document upload, and projects. Available in browser and iOS at $20/month with up to 2M tokens/hour.

2Private Inference API
CategoryDeveloper API
Description

OpenAI-compatible inference endpoints that run AI models inside secure enclaves with provable zero data retention. Supports chat completions, embeddings, audio transcription, and document processing. Usage-based pricing with open-source models including Llama, DeepSeek, Kimi, GLM, Gemma, and Qwen families, accessed via Python, JavaScript, Go, Rust, Swift, and CLI SDKs.

3Tinfoil Containers
CategoryConfidential Compute Platform
Description

Confidential compute platform enabling deployment of any Docker image inside hardware-isolated secure enclaves with cryptographic attestation. Supports custom AI workloads, application backends, and training pipelines with customer-managed encryption keys. Multi-GPU support (1, 2, or 4 GPUs) available for frontier model inference and post-training. Priced at $20/month plus usage-based charges.

Scale indicator3 records

Each record includes

Type, Value, Description, Source

Partnership6 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-10-23
Description

Collaborating with Red Hat on open-source confidential AI infrastructure for private inference. Joint work on enhancing AI inference security with confidential computing for private data inference with proprietary LLMs.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Featured in a Llama case study as the only multi-GPU infrastructure offering production-ready, verifiably private AI. Tinfoil is part of Meta Llama startup programs.

Strategic tierCoreTypeTechnology or Integration
Description

Security audit and webinar collaboration on TEE (Trusted Execution Environment) vulnerabilities and confidential computing best practices. Partnership strengthens security posture and transparency.

Strategic tierCoreTypeTechnology or Integration
Description

Part of NVIDIA Inception program for startups. Leveraging NVIDIA Hopper and Blackwell GPUs with confidential computing capabilities for multi-GPU private AI workloads.

5MIT
Strategic tierMinorTypeGTM or Marketing Partner
Description

Part of MIT Startup Exchange. Featured at MIT AI Conference 2025 as one of 10 MIT AI startups to watch.

tinfoil.sh
Strategic tierMinorTypeGTM or Marketing Partner
Description

Participant in Intel Liftoff program for startups working on confidential computing solutions.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
1Azure Confidential Computing (Microsoft)
TypeBroad incumbent
Description

Microsoft's confidential computing platform offering AMD SEV-SNP and Intel TDX VMs. Directly competes with Tinfoil's infrastructure layer but as part of a much broader Azure portfolio; lacks Tinfoil's specialized multi-GPU confidential AI focus and OpenAI-compatible developer experience.

TypeDirect peer
Description

Decentralized confidential computing platform using TEEs for private AI inference and smart contract execution. Closest direct competitor to Tinfoil in the TEE-based private AI inference category, though Phala leans decentralized while Tinfoil offers a managed, OpenAI-compatible API.

TypeBroad incumbent
Description

Amazon's TEE-based enclave service for EC2 workloads. Provides the underlying isolation primitive Tinfoil builds on, but AWS does not offer a multi-GPU confidential AI inference product with the developer ergonomics Tinfoil provides.

4Oasis Network
TypeEmerging player
Description

Layer-1 blockchain with confidential computing via TEEs (Intel SGX-based runtime). Comparable confidential compute positioning for AI workloads but with a different architectural approach (on-chain vs cloud-hosted) and weaker enterprise go-to-market than Tinfoil.

TypeDirect peer
Description

Enterprise confidential computing platform offering Runtime Encryption and Confidential AI services built on Intel SGX/TDX. Targets the same verifiable-privacy-for-AI use case as Tinfoil but skews to large enterprise sales cycles with heavier deployment model.

TypeDirect peer
Description

Confidential computing platform that creates hardware-isolated enclaves across AMD SEV, Intel SGX, and NVIDIA H100 GPUs. Competes with Tinfoil's core enclave abstraction layer, particularly for enterprises deploying sensitive workloads in public clouds.

TypeDirect peer
Description

Confidential computing platform built on Confidential Containers (CoCo) and Constellation for Kubernetes-native TEE workloads. Directly comparable to Tinfoil Containers but with a more DevOps/Kubernetes orientation versus Tinfoil's OpenAI-compatible developer API focus.

TypeBroad incumbent
Description

Google's AMD SEV-SNP confidential VM offering for GCP workloads. Part of a broad cloud portfolio; lacks Tinfoil's specialized multi-GPU confidential AI inference product and developer-friendly OpenAI-compatible interface.

TypeEmerging player
Description

Open-source-focused AI inference cloud offering privacy features but not built on TEEs. Comparable target market (developers wanting open-source LLM inference) but lacks the hardware-attested privacy guarantee that differentiates Tinfoil.

TypeBroad incumbent
Description

NVIDIA's full-stack AI platform and managed cloud for training and inference using Hopper/Blackwell GPUs. Strategic partner to Tinfoil via Inception but also a potential vertical integrator — if NVIDIA ships native confidential multi-GPU inference, it directly competes with Tinfoil's core offering.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers4 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

AI capability11 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds3 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors4 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Tinfoil

Confidential AI Infrastructuretinfoil.sh

Tinfoil is a San Francisco-based confidential computing platform that delivers verifiably private AI inference and containerized workloads inside hardware-isolated enclaves, serving developers, researchers, and enterprises via an OpenAI-compatible API, hosted Private Chat, and Tinfoil Containers.

What Tinfoil does

Tinfoil is a San Francisco-based private AI infrastructure company founded in 2024 that delivers AI inference and compute inside hardware-isolated confidential virtual machines (AMD SEV-SNP, Intel TDX, NVIDIA Hopper and Blackwell GPUs with confidential computing enabled). The core technical premise is that user data is encrypted in memory and only decrypted inside the enclave, with cryptographic remote attestation verified client-side on every connection, so that even Tinfoil cannot access customer data during processing. The product surface comprises three offerings: Private Chat (a hosted AI chat interface at $20/month, available on web and iOS), Private Inference API (an OpenAI-compatible API with usage-based pricing supporting chat, embeddings, audio transcription, and document processing across open-source models), and Tinfoil Containers (launched March 2026, enabling any Docker image to run inside an attested enclave, priced at $20/month plus usage). Revenue mechanics blend low-friction self-serve PLG (subscriptions plus usage-based API) with an enterprise field-sales motion for custom GPU capacity, multi-year contracts, and signed order forms.

The company goes to market through a developer-first model: instant online sign-up, immediate API key issuance, six SDKs (Python, JavaScript, Go, Rust, Swift, CLI), and integration with coding agents such as OpenCode, Cline, Kilo Code, Factory Droid, and Hermes Agent via Tinfoil Proxy. Customer evidence is concentrated in research, education, and frontier-AI use cases — UC Berkeley running custom Docker containers, the Open Anonymity Project at Stanford and University of Michigan migrating from Azure confidential containers, Workshop Labs building the Silo multi-GPU private post-training and inference stack on Tinfoil, and Pour Demain running gray-box interpretability audits on a 744B-parameter model without exposing weights. The company has raised approximately $7.75M in total funding across a July 2024 pre-seed ($625K) and a July 2025 seed ($7.125M led by Scale Rise with Y Combinator and Pioneer Fund), followed by a Tekedia Capital investment in May 2026. Operational posture includes SOC 2 Type II certification, public transparency logs via Sigstore, membership in the Confidential Computing Consortium, and partnerships with NVIDIA (Inception), Meta (Llama case study), Red Hat, Intel (Liftoff), Cloudflare (Launchpad), Canonical, Trail of Bits, and MIT.

Tinfoil firmographics

Firmographics
Name
Tinfoil
Legal name
Tinfoil, Inc.
Website
https://tinfoil.sh
Company type
Private
Founded year
2024
Operating status
Operating
Headcount range
1–10 employees
Short description
Tinfoil is a San Francisco-based confidential computing platform that delivers verifiably private AI inference and containerized workloads inside hardware-isolated enclaves, serving developers, researchers, and enterprises via an OpenAI-compatible API, hosted Private Chat, and Tinfoil Containers.
Ownership category
akta.pro rank

Tinfoil industry classification

Industry
Product category
Confidential AI Infrastructure
akta.pro primary industry
Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI)
akta.pro secondary industries
Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy) (HDAAAMAD), Privacy-Preserving On-Device ML (secure enclaves, TEEs, differential privacy) (HDAAAJAH), Secure Model Deployment & Runtime Protection (sandboxing, isolation) (HDAAAKAH), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

Keywords

  • Confidential AI inference
  • Secure hardware enclaves
  • Private AI platform
  • Confidential computing API
  • Verifiable AI privacy

Where Tinfoil is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Tinfoil business model

Business model
GTM type
B2B and B2C
Offering type
Software
Cost components
Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations

Revenue model

  1. Private Chat Subscription: Monthly subscription at $20/month for Private Chat service providing access to AI assistants with up to 2M tokens/hour, projects, web search, cross-device sync, speech-to-text, and document upload.
  2. Private Inference API: Usage-based pricing model for API access. Pay per token/usage for AI inference through OpenAI-compatible endpoints. No data retention of prompts or responses after response is returned.
  3. Tinfoil Containers: Hybrid pricing model combining $20/month base fee plus usage-based charges for container deployments running Docker images in secure enclaves with GPU allocation options.
  4. Enterprise GPU Access: Custom enterprise pricing for GPU access requests with dedicated capacity for larger workloads, requiring use case description and custom engagement.

Pricing tiers

ModelBillingPrice
SubscriptionMonthlyPrivate Chat - Individual
Usage-basedPay-as-you-goPrivate Inference API
HybridMonthlyTinfoil Containers
SubscriptionMulti-year contractEnterprise GPU Access

Go-to-market motion3 records

Distribution channels4 records

Marketing channels9 records

Tinfoil product offering

Product offering

Core offering

Tinfoil provides verifiably private AI infrastructure by running AI inference workloads inside hardware-isolated confidential computing enclaves (AMD SEV-SNP, Intel TDX, NVIDIA Hopper and Blackwell GPUs). The company offers Private Chat for individual consumers, an OpenAI-compatible Private Inference API for developers, and Tinfoil Containers for deploying custom Docker workloads in secure enclaves with cryptographic remote attestation verified client-side on every connection.

Product overview

Tinfoil is a private AI platform built around secure hardware enclaves and confidential computing, offering three principal services: Private Chat (hosted AI chat interface with enclave-based inference and encrypted backups), Private Inference API (OpenAI-compatible inference endpoints with zero data retention), and Tinfoil Containers (confidential compute platform for deploying custom Docker workloads in secure enclaves). The platform also provides developer tooling including Tinfoil Proxy for attestation-verified connections and an Admin API for programmatic management. All services run on NVIDIA GPU confidential computing infrastructure (Hopper and Blackwell architectures) with cryptographic attestation, transparency logs, and SOC 2 Type II compliance.

Differentiator

Problem solved

Functional benefit

Brands

  • Private Chat: A hosted AI chat interface where chat inference runs inside secure enclaves with encrypted backups.
  • Private Inference API
  • Tinfoil Containers

Products and services

  • Private Chat Hosted AI chat interface where inference runs inside hardware-isolated secure enclaves, ensuring conversations remain private and inaccessible even to Tinfoil. Includes encrypted chat backups with device-held keys, multi-device sync, web search, speech-to-text, document upload, and projects. Available in browser and iOS at $20/month with up to 2M tokens/hour.
  • Private Inference API OpenAI-compatible inference endpoints that run AI models inside secure enclaves with provable zero data retention. Supports chat completions, embeddings, audio transcription, and document processing. Usage-based pricing with open-source models including Llama, DeepSeek, Kimi, GLM, Gemma, and Qwen families, accessed via Python, JavaScript, Go, Rust, Swift, and CLI SDKs.
  • Tinfoil Containers Confidential compute platform enabling deployment of any Docker image inside hardware-isolated secure enclaves with cryptographic attestation. Supports custom AI workloads, application backends, and training pipelines with customer-managed encryption keys. Multi-GPU support (1, 2, or 4 GPUs) available for frontier model inference and post-training. Priced at $20/month plus usage-based charges.

Quantifiable outcome

  • Less than 10% performance overhead on production workloads for private post-training and inference
  • +2 more outcomes

Companies that use Tinfoil

Customer profile

Named customers4 records

Segments3 records

Ideal customer profiles3 records

Tinfoil technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature8 records

Tinfoil partnerships and signals

Strategic signal

Partnerships

Six partnerships are on record, tiered core and minor.

  • Red HatcoreStrategic or Co-development Partner · 23 October 2025Collaborating with Red Hat on open-source confidential AI infrastructure for private inference. Joint work on enhancing AI inference security with confidential computing for private data inference with proprietary LLMs.
  • MetacoreStrategic or Co-development PartnerFeatured in a Llama case study as the only multi-GPU infrastructure offering production-ready, verifiably private AI. Tinfoil is part of Meta Llama startup programs.
  • Trail of BitscoreTechnology or IntegrationSecurity audit and webinar collaboration on TEE (Trusted Execution Environment) vulnerabilities and confidential computing best practices. Partnership strengthens security posture and transparency.
  • NVIDIAcoreTechnology or IntegrationPart of NVIDIA Inception program for startups. Leveraging NVIDIA Hopper and Blackwell GPUs with confidential computing capabilities for multi-GPU private AI workloads.
  • MITminorGTM or Marketing PartnerPart of MIT Startup Exchange. Featured at MIT AI Conference 2025 as one of 10 MIT AI startups to watch.
  • Intel LiftoffminorGTM or Marketing PartnerParticipant in Intel Liftoff program for startups working on confidential computing solutions.

Scale indicators3 records

Recent moves6 records

Expansion highlights6 records

Tinfoil competitors and assessment

Company assessment

Broad incumbents

  • Azure Confidential Computing (Microsoft): Microsoft's confidential computing platform offering AMD SEV-SNP and Intel TDX VMs. Directly competes with Tinfoil's infrastructure layer but as part of a much broader Azure portfolio; lacks Tinfoil's specialized multi-GPU confidential AI focus and OpenAI-compatible developer experience.
  • AWS Nitro Enclaves: Amazon's TEE-based enclave service for EC2 workloads. Provides the underlying isolation primitive Tinfoil builds on, but AWS does not offer a multi-GPU confidential AI inference product with the developer ergonomics Tinfoil provides.
  • Google Cloud Confidential VMs: Google's AMD SEV-SNP confidential VM offering for GCP workloads. Part of a broad cloud portfolio; lacks Tinfoil's specialized multi-GPU confidential AI inference product and developer-friendly OpenAI-compatible interface.
  • NVIDIA NeMo / DGX Cloud: NVIDIA's full-stack AI platform and managed cloud for training and inference using Hopper/Blackwell GPUs. Strategic partner to Tinfoil via Inception but also a potential vertical integrator — if NVIDIA ships native confidential multi-GPU inference, it directly competes with Tinfoil's core offering.

Direct peers

  • Phala Network: Decentralized confidential computing platform using TEEs for private AI inference and smart contract execution. Closest direct competitor to Tinfoil in the TEE-based private AI inference category, though Phala leans decentralized while Tinfoil offers a managed, OpenAI-compatible API.
  • Fortanix: Enterprise confidential computing platform offering Runtime Encryption and Confidential AI services built on Intel SGX/TDX. Targets the same verifiable-privacy-for-AI use case as Tinfoil but skews to large enterprise sales cycles with heavier deployment model.
  • Anjuna Security: Confidential computing platform that creates hardware-isolated enclaves across AMD SEV, Intel SGX, and NVIDIA H100 GPUs. Competes with Tinfoil's core enclave abstraction layer, particularly for enterprises deploying sensitive workloads in public clouds.
  • Edgeless Systems: Confidential computing platform built on Confidential Containers (CoCo) and Constellation for Kubernetes-native TEE workloads. Directly comparable to Tinfoil Containers but with a more DevOps/Kubernetes orientation versus Tinfoil's OpenAI-compatible developer API focus.

Emerging players

  • Oasis Network: Layer-1 blockchain with confidential computing via TEEs (Intel SGX-based runtime). Comparable confidential compute positioning for AI workloads but with a different architectural approach (on-chain vs cloud-hosted) and weaker enterprise go-to-market than Tinfoil.
  • Together AI: Open-source-focused AI inference cloud offering privacy features but not built on TEEs. Comparable target market (developers wanting open-source LLM inference) but lacks the hardware-attested privacy guarantee that differentiates Tinfoil.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Tinfoil social profiles

Digital presence

Tinfoil compliance and trust

Trust signal

Compliance1 record

Tinfoil financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Tinfoil leadership team

Management profile

Number of profiles

Tinfoil funding detail

Funding detail

Funding overview

Funding rounds3 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Tinfoil M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Tinfoil

What does Tinfoil do?

Tinfoil provides verifiably private AI infrastructure by running AI inference workloads inside hardware-isolated confidential computing enclaves (AMD SEV-SNP, Intel TDX, NVIDIA Hopper and Blackwell GPUs). The company offers Private Chat for individual consumers, an OpenAI-compatible Private Inference API for developers, and Tinfoil Containers for deploying custom Docker workloads in secure enclaves with cryptographic remote attestation verified client-side on every connection.

Is Tinfoil a public or private company?

Tinfoil is a private company. It is classified as venture growth investor backed and is currently operating.

When was Tinfoil founded?

Tinfoil was founded in 2024. It employs 1 to 10 people.

Where is Tinfoil based?

Tinfoil is headquartered in San Francisco, United States, in the North America region.

How does Tinfoil make money?

Four revenue lines are on record. Private Chat Subscription is the primary driver. The others are private Inference API, tinfoil Containers and enterprise GPU Access.

Who are Tinfoil's main competitors?

Broad incumbents on record are Azure Confidential Computing (Microsoft), AWS Nitro Enclaves, Google Cloud Confidential VMs and NVIDIA NeMo / DGX Cloud. Direct peers are Phala Network, Fortanix, Anjuna Security and Edgeless Systems. Emerging players are Oasis Network and Together AI.

Does Tinfoil have an API?

Yes. Tinfoil provides an OpenAI-compatible REST API for private AI inference. The API includes: (1) Inference endpoints at https://inference.tinfoil.sh/v1 for chat completions, embeddings, audio transcription, and document processing; (2) Admin API at https://api.tinfoil.sh for programmatic organization management including API key management, billing/usage statistics, and container lifecycle operations. Admin API uses Bearer token authentication with keys prefixed 'admin_'. All models are accessible through a unified model router that automatically routes requests to appropriate model enclaves. In October 2025, Tinfoil introduced the Encrypted HTTP Body Protocol (EHBP) for end-to-end encryption of request/response payloads using attested encryption keys. Developer documentation is at docs.tinfoil.sh.

What industry is Tinfoil in?

Tinfoil's product category is Confidential AI Infrastructure. Its primary akta.pro industry code is HDAAAKAI, Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs), with a secondary code of HDAAAMAD, Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy).

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