What Lorica Cybersecurity does

Lorica Cybersecurity Inc. (operating as Lorica.ai) is a Toronto-based, privately held company founded in 2017 that operates a confidential AI platform using hardware-verified confidential computing. The platform enables organizations to deploy and run AI models — including third-party models such as Llama 3.1 8B Instruct — inside secure, attested environments where data remains private even from Lorica itself. Disclosed technical benchmarks include 5000+ transactions per second on a single H100 with 256 concurrent requests and a 10-minute boot-to-ready deployment cycle.

The company pursues a dual go-to-market motion: a self-serve product-led growth channel at app.lorica.ai targeting solo builders, startups, and AI service providers (with a $50 credit for new users), and an enterprise field sales motion targeting regulated verticals including financial services, healthcare and pharma, government and public sector, critical infrastructure, and defense and national security. Revenue is generated through usage-based pricing on cloud AI platform access, with specific rates not publicly disclosed and enterprise engagements appearing to be quote-based.

Recognition includes the 2024 Tradewinds AI Awardable designation, the 2023 Gartner Cool Vendor in Privacy, and inclusion in the CyberTech 100, AFCEA International Emerging Technology Award, and AI FinTech 100. Headcount is reported at 11-50 employees. The company is domiciled in the United States as Lorica Cybersecurity Inc. while operating from Toronto, Canada. Disclosed funding is limited to a 2019 relationship with Toronto Innovation Acceleration Partners; revenue, customer logos, and detailed investor information are not publicly available.

Name

Lorica Cybersecurity

Legal name

Lorica Cybersecurity Inc.

Website

https://loricacyber.com

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

1–10 employees

Short description

Lorica Cybersecurity (Lorica.ai) operates a confidential AI platform that lets organizations deploy AI models inside hardware-verified, attested environments, serving regulated industries and developers through usage-based self-serve and enterprise sales.

Ownership category

akta.pro rank

Product category

Confidential AI Platform

NAICS

Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI)

akta.pro secondary industries

Secure Model Deployment & Runtime Protection (sandboxing, isolation) (HDAAAKAH), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI Privacy Engineering & Data Governance (PII, consent, retention) (HDAAAKAB)

Keywords

• Confidential AI computing
• Privacy-preserving AI
• Confidential computing platform
• AI data security
• Hardware-backed AI

Headquarters

HQ city

Toronto

HQ country

Canada

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Cloud AI Platform Access: Usage-based access to confidential AI computing platform. Customers pay for compute resources consumed when running AI models in confidential environments. New users receive $50 credit for initial usage.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels2 records

Core offering

Lorica Cybersecurity operates the Lorica.ai platform, a confidential AI platform that enables organizations to deploy and run AI models inside hardware-verified, attested environments. The platform delivers confidential computing capabilities that keep data private even from Lorica itself, supporting models such as Llama 3.1 8B Instruct at plaintext-equivalent performance. Customers access the platform through a self-serve cloud interface (app.lorica.ai) and can spin up a fully confidential model instance in approximately 10 minutes.

Product overview

Lorica.ai is a single unified confidential AI platform that enables organizations from solo builders to global enterprises to deploy AI with full privacy in minutes. The platform provides confidential computing without performance trade-offs, allowing users to run AI models (including Llama 3.1 8B Instruct) with hardware-verified security and attestation. Users can access the platform via app.lorica.ai and receive a $50 credit for new sign-ups.

Differentiator

Problem solved

Functional benefit

Products and services

• Lorica.ai Platform A confidential AI cloud platform that lets organizations deploy and run AI models (including Llama 3.1 8B Instruct) inside hardware-verified, attested environments. Designed for solo builders, AI service providers, and enterprises in regulated industries (financial services, healthcare, government, defense, critical infrastructure) that need to run AI on sensitive data without breaking compliance.

Quantifiable outcome

• 5000+ transactions per second performance with full confidentiality
• +1 more outcomes

Segments7 records

Ideal customer profiles7 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability1 record

Feature3 records

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Fortanix: Fortanix offers a confidential computing and data security platform built on Intel SGX that enables AI and analytics on encrypted data. It targets the same regulated buyer segments (financial services, healthcare, government) as Lorica and competes on similar hardware-attested runtime protection.
• Duality Technologies: Duality provides privacy-preserving data collaboration and AI/ML on encrypted data using homomorphic encryption and secure multiparty computation. It is a direct peer in enabling AI on sensitive regulated data without exposing plaintext, though it uses cryptographic rather than hardware-TEE approaches.
• Oasis Labs: Oasis Labs builds a privacy-first computing network combining confidential computing with blockchain for AI on sensitive data. It targets similar regulated-industry use cases around confidential AI and data collaboration.
• TripleBlind: TripleBlind offers a privacy-preserving AI platform using cryptographic techniques to enable training and inference on sensitive data without exposing it. It is comparable to Lorica in enabling regulated industries to operationalize AI on protected datasets.
• Enveil: Enveil enables secure search, analytics, and AI on encrypted data using homomorphic encryption and secure enclaves. It targets the same use case as Lorica — running AI/analytics workloads on sensitive data without exposing plaintext — and serves overlapping financial services and government buyers.
• Inpher: Inpher provides a privacy-preserving computing platform using fully homomorphic encryption and secure multiparty computation for AI/ML on encrypted data. It serves the same regulated-industry buyer use cases as Lorica — running analytics and AI without exposing plaintext to the cloud provider.
• Anjuna Security: Anjuna provides a confidential computing platform that enables enterprises to run workloads including AI inside hardware-secured enclaves across any cloud. It is the closest direct competitor to Lorica, offering similar attestation-based isolation and AI deployment use cases for regulated industries.

Broad incumbents

• AWS Nitro Enclaves: AWS Nitro Enclaves provides isolated compute environments within EC2 instances for processing sensitive data including AI workloads. As part of AWS's broad cloud portfolio, it represents an incumbent alternative that many enterprise buyers already have contractual access to.
• Microsoft Azure Confidential Computing: Azure Confidential Computing offers hardware-attested enclaves (AMD SEV-SNP, Intel TDX) as an integrated cloud service for running AI and other workloads privately. As a broad incumbent, Microsoft bundles confidential AI capabilities into existing enterprise agreements, posing competitive risk to standalone platforms like Lorica.
• Google Cloud Confidential VMs: Google Cloud Confidential VMs use AMD SEV and SEV-SNP to provide memory encryption for AI and data workloads. As a broad incumbent with deep ML/AI tooling, GCP competes for the same confidential AI workloads that Lorica targets.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks5 records

Key highlights5 records

Customer concentration

• LinkedInlinkedin.com/company/lorica-cybersecurity

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds1 record

Investors1 record

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

M&A

Investments

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

Frequently asked questions about Lorica Cybersecurity