Secludy

Market position

Secludy operates in privacy-preserving synthetic data tooling for regulated-industry AI, an area investors describe as addressing a common bottleneck where enterprise GenAI pilots stall at the data-sharing and vendor-evaluation stage. Commentary accompanying the seed round characterized the $4 million raise as typical in size for early-stage infrastructure focused on compliance and security. The company contrasts its entity-consistent replica approach with masking, which it says leaves data unusable, and with random replacement, which it says breaks cross-record consistency.

The company emphasizes entity-consistent replacement — the same real entity receiving the same stand-in across every file, table, document and image in a single pass — so joins, foreign keys and cross-document identity resolution survive replacement. It also emphasizes provable outcomes via leak-check gating and audit-ready reports, and in-environment air-gapped deployment so data never leaves the customer's infrastructure.

Technology

GraphReplica builds a privacy-aware entity graph from messy multi-format sources: it detects sensitive entities, resolves records that refer to the same real entity while surfacing conflicts, replaces only the sensitive entities with consistent realistic stand-ins, validates output with leak and consistency checks, and emits audit-ready detection and replacement reports. A release-level leak-check gate blocks output if any original value survives, and every run produces a report such as release_leak_check.json. The company also describes its synthetic-data approach as built on differential privacy. Deployment is via a Docker container mounting read-only input and writable output directories, scalable with Kubernetes, and the company states its approach is compliant by design with GDPR, CCPA and HIPAA with no customer data retained after processing.

Go-to-market

Secludy markets through direct demo requests and access requests on its website, and states setup takes about an hour by mounting input and output folders and running a single container command. A significant entry point is unblocking AI vendor evaluations and pilots. Following the seed round the company said it would scale its go-to-market effort and accelerate hiring.

Enterprises in regulated industries, initially banks, payments firms and fintech companies, with healthcare, life sciences and other regulated sectors identified as next. Buyers include AI/ML teams needing training and evaluation data as well as privacy, legal and security teams responsible for approving data use. Relevant data types cited include transaction histories, fraud patterns, customer support logs and loan files.

Geography

Headquartered in San Francisco, California, United States. The company states its compliance posture is designed to meet data-protection requirements across the EU, US and APAC, and cites cross-border data transfer rules faced by banks operating in multiple countries.

History

Secludy publicly launched its platform for financial services companies and disclosed a $4 million seed round on 2026-05-13, led by Impression Ventures. The company said it would use the funding to accelerate hiring, scale go-to-market, and extend the platform to additional enterprise AI workflows, with availability initially for banks, payments firms and fintech companies and expansion planned into healthcare and life sciences.

Risks & controversies

Coverage of the funding announcement noted that product claims and funding details originated from the company's press release and had not been independently verified, and suggested watching for published customer pilot outcomes, disclosed privacy guarantees such as differential privacy parameters or attestations, technical documentation, and third-party audits of privacy controls.