About
Incode provides AI identity verification with industry-leading deepfake detection. Their Deepsight system was independently validated by Purdue as the most accurate commercial deepfake detector with 2.5x lower false-acceptance rates. Processed 4.1B identity checks in 2024; clients include ByteDance, Nubank, PNC, and Scotiabank. Achieved unicorn status at $1.25B valuation. Acquired AuthenticID to expand capabilities as deepfake fraud attempts rose 900% from 2022-2024.
Key Facts
- [1]Funding: Total funding: $407M. Last round: Dec 2021. Stage: Late Stage.
- [2]Customers: Key customers include Citibanamex, HSBC Mexico.
- [3]Employees: Employee count: 201-500.
- [4]Website: Official website: incode.com.
- [5]AI Technology: Core AI/ML technologies: Computer Vision.
- [6]Region: Region: Americas (United States).
Founder
Ricardo Amper
Founder & CEO
Key Customers & Partners
AI Technology
Computer Vision
Image and video processing, OCR, and document extraction
Classification
Details
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Frequently Asked Questions
What is Incode?
Incode provides AI identity verification with industry-leading deepfake detection. Their Deepsight system was independently validated by Purdue as the most accurate commercial deepfake detector with 2.5x lower false-acceptance rates. Processed 4.1B identity checks in 2024; clients include ByteDance, Nubank, PNC, and Scotiabank. Achieved unicorn status at $1.25B valuation. Acquired AuthenticID to expand capabilities as deepfake fraud attempts rose 900% from 2022-2024. Incode is classified in the Risk & Compliance segment at the Models layer of the financial AI stack.
Who founded Incode?
Incode was founded by Ricardo Amper (Founder & CEO).
How much funding has Incode raised?
Incode has raised $407M in total funding, placing the company at the Late Stage stage. The most recent round closed in Dec 2021. Among 74 funded Risk & Compliance companies, Incode ranks #15 by total capital raised. (Source: AIFI Map directory.)
What AI technology does Incode use?
Incode primarily leverages Computer Vision technology. Image and video processing, OCR, and document extraction. Within the Risk & Compliance segment, 17 companies use this technology.
What market segment does Incode operate in?
Incode operates in the Risk & Compliance and Lending & Credit and Banking & Payments and Crypto & Web3 market segments. AI risk and compliance companies protect financial institutions from fraud, money laundering, identity theft, and regulatory violations. This is one of the largest and most critical segments in the AI finance landscape, as the cost of financial crime and non-compliance runs into the hundreds of billions annually. The company also has a footprint in lending & credit and banking & payments and crypto & web3, reflecting its cross-functional approach to financial AI.
Where is Incode headquartered?
Incode is headquartered in San Francisco, United States. The company operates in the Americas region. The team consists of 201-500 employees. United States is home to 324 financial AI companies tracked by AIFI Map.
Who are Incode's competitors?
Companies similar to Incode in the Risk & Compliance space include Feedzai ($431M raised), Sardine ($170M raised), Hawk AI ($83M raised), Resistant AI ($55M raised), Flagright ($8M raised). These companies operate in related areas of financial AI: Feedzai focuses on ai-native fraud and financial crime prevention platform for major banks. Sardine focuses on ai risk platform for fraud, credit, and compliance. Hawk AI focuses on ai-powered aml and fraud detection for banks and fintechs. (Based on AIFI Map classification data.)
What products does Incode offer?
Incode builds models-layer solutions for the financial services industry. The company's core offering: AI identity verification with deepfake detection. The platform is powered by Computer Vision technology. Notable users include Citibanamex, HSBC Mexico.