Clique

Name: Clique
Brand: Clique

AI Native

Clique builds MPC/TEE enterprise solutions for confidential compute and secure systems

Est 2022|Valuation $31M|Raised $11M|22 Ref Customers

LinkedIn 970|Web traffic 10K|FTEs 16|HQ San Francisco, California, US

01Competitive Landscape

Narrative competitive analysis

Where Clique appears positioned to address demand - The product documentation emphasizes a focused set of use cases around attestations, social verification, and incentive distribution rather than simply providing raw confidential compute capacity. - The TLS oracle capability (private API calls from a TEE with attestations) is a specific functional approach that addresses the need to protect credentials during off-chain data retrieval. Where alternatives may be preferable - Phala Cloud provides published pricing and positions itself toward confidential AI and private compute clouds, which can simplify procurement for teams primarily focused on private ML inference. - Major cloud providers (enterprise confidential computing offerings) are often preferable for organizations that require mature compliance programs, region controls, and standard procurement processes, though these providers do not directly provide a Web3 attestation layer out of the box. - Other projects offering confidential execution environments provide alternative integration paths (for example, confidential EVM environments) that may align more directly with some smart contract designs. Market adoption signals - Clique references partnerships and campaign case studies with ecosystem projects. Independent market share data and third-party adoption metrics were not found in the reviewed sources and should be sought during due diligence.

	Clique	Phala Cloud	iExec
Starting Price	Not publicly listed (custom)	Public usage-based pricing for CPU/GPU TEEs (published rates)	Marketplace-driven pricing; varies by provider and token economics
Primary Use Case	Web3 incentive campaigns, attestations, and TEE/TLS oracle-style off-chain compute with on-chain verification	Confidential compute and confidential AI with published usage pricing	Decentralized compute marketplace for a variety of compute workloads
Notable characteristics	Product focused on producing attestations and handling private API calls within TEEs	Transparent pricing and clear positioning for confidential AI workloads	Open marketplace model with varied providers and pricing dynamics
Potential drawbacks	Limited independent reviews, unclear public compliance posture, no public pricing	May require more custom development to implement attestation use cases	Performance and UX depend on marketplace dynamics and provider selection

01Competitive Landscape

Narrative competitive analysis

Where Clique appears positioned to address demand

The product documentation emphasizes a focused set of use cases around attestations, social verification, and incentive distribution rather than simply providing raw confidential compute capacity.
The TLS oracle capability (private API calls from a TEE with attestations) is a specific functional approach that addresses the need to protect credentials during off-chain data retrieval.

Where alternatives may be preferable

Phala Cloud provides published pricing and positions itself toward confidential AI and private compute clouds, which can simplify procurement for teams primarily focused on private ML inference.
Major cloud providers (enterprise confidential computing offerings) are often preferable for organizations that require mature compliance programs, region controls, and standard procurement processes, though these providers do not directly provide a Web3 attestation layer out of the box.
Other projects offering confidential execution environments provide alternative integration paths (for example, confidential EVM environments) that may align more directly with some smart contract designs.

Market adoption signals

Clique references partnerships and campaign case studies with ecosystem projects. Independent market share data and third-party adoption metrics were not found in the reviewed sources and should be sought during due diligence.

	Clique	Phala Cloud	iExec
Starting Price	Not publicly listed (custom)	Public usage-based pricing for CPU/GPU TEEs (published rates)	Marketplace-driven pricing; varies by provider and token economics
Primary Use Case	Web3 incentive campaigns, attestations, and TEE/TLS oracle-style off-chain compute with on-chain verification	Confidential compute and confidential AI with published usage pricing	Decentralized compute marketplace for a variety of compute workloads
Notable characteristics	Product focused on producing attestations and handling private API calls within TEEs	Transparent pricing and clear positioning for confidential AI workloads	Open marketplace model with varied providers and pricing dynamics
Potential drawbacks	Limited independent reviews, unclear public compliance posture, no public pricing	May require more custom development to implement attestation use cases	Performance and UX depend on marketplace dynamics and provider selection

Clique

01Competitive Landscape

Narrative competitive analysis

02Market Map

01Competitive Landscape

Narrative competitive analysis

02Market Map