You have found a statistical edge. To deploy it, your compliance team, your data vendors, and your auditors must all be satisfied that nothing leaked, nothing was redistributed, and nothing persists that should not.
Other platforms either leave you exposed or ask you to take their word for it. We solved it structurally. We prove it.
No advisory. No recommendations. No learning. Student One is a mathematical processing service. We accept OHLCV time-series, apply fixed statistical frameworks, and return reports. Every job is stateless. Yours knows nothing about anyone else's.
The architecture exists so your research can be deployed without tripping redistribution clauses, vendor-lock concerns, or intellectual property exposure.
We process exactly one category of data: OHLCV (Open, High, Low, Close, Volume). The same candlestick data visible on every terminal screen in the world.
No account balances. No API keys with trading permission. No PII. No KYC/AML data. No portfolio positions. No trade history. No alternative data.
Narrow scope by design. What we do not touch cannot leak from us.
Each instance is isolated and single-use. It does not communicate with other instances. It does not write to shared storage. Once it terminates, the raw data is gone. Not archived. Not backed up. Not cached.
Both ingress and egress happen through the client's own S3. We never hold the data. The compute instance reads from your bucket, processes in memory, writes results back to your bucket, and terminates. At no point does your data reside on our infrastructure.
There is nothing to subpoena. Nothing that can leak. Nothing that can be reconstructed from our systems.
To be clear: our infrastructure can be subpoenaed like any other. The point is that between ingress and egress, we hold nothing. No database to query. No data lake to dredge. No backup tapes in a vault. The data existed in memory for the duration of the computation, was never written to persistent storage, and cannot be recovered after termination. A subpoena produces an empty set.
For certain high-stakes enterprise deployments, the entire computation can be performed exclusively in RAM with no disk writes whatsoever. Architecture whitepapers available under NDA. legal@studentone.tech
Reports land in your AWS S3 bucket. MFA-protected. Client-controlled. We write to it. We do not own it.
In our sandbox environment (Dojo), results are retained for 72 hours so you can evaluate our models without commitment. After that window, they are purged automatically. Zero copies retained.
For production deployments, both input and output reside in your S3 from start to finish. We are a compute service that reads from your storage, processes, writes back, and terminates. You control retention, access, and downstream distribution entirely.
This is what quantitative desks care about most: you never have to reveal what you are researching.
We return pure statistical output. No identifiers. No proprietary metadata. The processor never observes the identity of the underlying instruments. Your data vendors cannot classify this as redistribution because we never saw what the assets were.
✓ All identifiers anonymized prior to submission
✓ Only mathematical structures processed
✓ Destruction certificate issued on completion
✓ Redistribution risk eliminated architecturally
Submit the destruction certificate to your compliance team, your auditors, or your fund governance committee. It confirms: anonymized inputs received, derived statistics returned, all intermediate state purged.
Every compute job generates three certificates via AWS CloudTrail with log file integrity validation (SHA-256 hash-chained digest files). The logs are cryptographically immutable: any tampering breaks the hash chain and is independently detectable.
Ingress Certificate: what arrived, when, from where
Egress Certificate: what left (a statistical report, not raw data), destination confirmed as your bucket
Destruction Certificate: compute instance terminated, data purged, hash-chain verified
Cryptographically sealed. Tamper-evident. Independently verifiable.
The egress certificate proves no raw market data left the instance. The destruction certificate proves the OHLCV was purged. You can verify the entire lifecycle: ingress, processing, egress, destruction.
Built on AWS infrastructure certified to ISO 27001, SOC 2 Type II, and FedRAMP High. Our application layer inherits the physical and network controls of that substrate. Application-layer attestation available on request.
Student One operates on the same AWS infrastructure used by BlackRock (Aladdin), Goldman Sachs, and JPMorgan Chase for regulated financial computation, per their public cloud disclosures. Ephemeral EC2 for compute. S3 for client-side data. Cognito for authentication.
No analytics tracking. No behavioral cookies beyond authentication. No third-party data integrations. No ML services. No surveillance tooling.
Sole subprocessor: Amazon Web Services, Inc. Compute region selectable per engagement. No cross-region data transfer.
The stack is: compute (terminated) and your bucket (you control). Nothing else.
Audit teams welcome. Architecture documentation, DPA review, and security questionnaires available on request: legal@studentone.tech