Secludy
Privacy‑tech platform that enables banks and fintechs to train generative AI models without exposing real customer data
Secludy is trending because it just closed a $4 million seed funding round on May 13, 2026 to support its platform launch for training GenAI models in financial services without exposing real customer data. This funding was covered in public press via GlobeNewswire, signaling growing interest in AI and data privacy in fintech.
Opportunity Score
7/10The combination of strong funding and a targeted approach to a crucial need in financial services positions Secludy well. However, the overall funding amount is relatively modest for the scale of opportunity, and competition is emerging in this space, which may challenge growth.
Market Sizing
TAM
$40B globally — the broader AI and data privacy market, particularly in financial services where compliance and data protection are critical.
SAM
$10B — focusing on banks and fintechs that require secure AI training solutions to comply with regulations and enhance customer trust.
SOM
$1B — estimating a realistic capture of market share within the next 1-3 years as the platform gains traction and establishes partnerships.
Business Model
Secludy is likely to employ a subscription-based model, charging banks and fintechs for access to its privacy-tech platform. Additionally, they may offer usage-based pricing for specific AI training sessions or evaluations of AI vendors.
Why Now
The urgency for enhanced data privacy measures in financial services has escalated due to increasing regulatory scrutiny and the rise of generative AI technologies. As banks and fintechs seek to innovate with AI while remaining compliant, the demand for solutions that allow for secure data handling without compromising customer information is at an all-time high. Furthermore, recent high-profile data breaches have heightened awareness around data security, making platforms like Secludy's increasingly relevant.
Competition
Hazy
Strength: Offers synthetic data generation for secure data sharing and AI training.
Weakness: Limited focus on the financial services sector, which may hinder adoption in that space.
Anonos
Strength: Provides data protection solutions that comply with privacy regulations.
Weakness: Complexity of implementation may deter smaller fintech companies.
Privitar
Strength: Specializes in data privacy solutions with a strong presence in regulated industries.
Weakness: Higher pricing may make it less accessible for smaller firms.
Market gaps
- There is a lack of specialized solutions that combine generative AI training with stringent data privacy requirements in the financial sector.
Risks
Regulatory changes may impact the operational landscape for AI training in financial services.
Execution risk related to the successful launch and adoption of the platform amidst competition.
Growth Signals
- Secured $4 million in seed funding, indicating investor confidence.
- Increasing media coverage on data privacy and AI, particularly in financial services.
- Growing partnerships with banks and fintechs looking to enhance their AI capabilities securely.
- Rising demand for compliance solutions as regulations around data privacy tighten.