One integration delivers a complete privacy stack — tokenization, universal key management, privacy proofs, private AI training, and a tamper-proof audit trail. We sell the engine to privacy companies, not point solutions to their customers.
Data-privacy infrastructure market, today to 2030.
Annual growth in AI data-preparation, the fastest-moving segment.
Privacy companies funded in the last 24 months — our buyers, not our rivals.
Of Fortune 500 firms deploying AI — every model needs compliant data.
Before a data-tokenization company earns its first dollar, it has to build the same cryptographic infrastructure everyone else is building — in parallel, at enormous cost. We build it once, and sell it to all of them.
Time spent reinventing cryptographic plumbing before earning a dollar of revenue.
Each company funds the same costly build — and still ships without advanced features.
Keys and vaults scattered across clouds, with no single system tying them together.
Proving GDPR and HIPAA compliance to auditors stays manual, slow, and hard to scale.
200+ data-tokenization companies were funded in the last 24 months — each hitting the same bottleneck, and each a prospective customer.
Integrate once and offer capabilities that would otherwise take years to build — each module production-ready behind a single API.
Replace sensitive data with format-preserving tokens. A stolen token carries no value. Live in days.
One interface to every major key-management system — AWS, Azure and more — with rotation that never breaks detokenization.
Attest facts to regulators — “all patients consented” — without exposing any record. Verifiable offline by any auditor.
Hospitals or banks jointly train models while raw data never leaves each building. Every run is recorded on the ledger.
Every data event recorded on an append-only, verifiable ledger. Audit reports in seconds, not weeks.
Faster privacy proofs than industry benchmarks, on a published and reproducible methodology. Patent pending · benchmark suite independently verifiable
A tenant with synthetic data spins up in minutes — no billing, no risk.
REST API and SDKs for Python, Node.js and Java, with clear errors and remediation guides.
Default-deny detokenization rules, a guided cutover checklist, and dashboards for usage and spend.
Every action already produced audit evidence. Generate a regulator-ready report in seconds.
# pip install securetoken import securetoken as st client = st.Client(api_key="sk_sandbox_…") # 1 — swap real data for a safe stand-in token = client.tokenize( data="4929 1183 0442 7716", data_class="payment_card", format_preserving=True, ) # → tok_c4f9k2m7xq1d8e3 (no value if stolen) # 2 — prove a fact without revealing records proof = client.prove.run( template="gdpr_consent_coverage", dataset="patients_2026", ) # → verified ✓ · artifact verifiable offline
to a first sandbox token
from contract to production
faster privacy proofs
to a full 12-month audit report
uptime on enterprise SLAs
Targets per the SecureToken platform requirements · validated with design partners · forward-looking
Every plan includes the core platform. Usage fees rise with our customers’ volumes, aligning our revenue with their growth and building expansion into every account.
Four tiers from $999 to custom create a defined path for accounts to expand as their data volumes grow.
Consumption fees mean revenue compounds with each customer’s success — expansion without a new sale.
We sell the engine to privacy companies rather than competing with them, turning a fragmented field into a customer base.
Compliance history lives on the customer’s ledger and exports with an independent verifier — evidence they always own.
Three forces are converging on a single requirement: sensitive data has to become safe to use.
91% of Fortune 500 firms are deploying AI, and every model needs safe, compliant data to feed it. AI data preparation is the fastest-growing segment, at roughly 45% a year.
New laws across the EU and worldwide make verifiable data handling mandatory. “Trust us” is no longer an acceptable answer; provable compliance is.
Point solutions sell pieces of the puzzle to enterprises. SecureToken sells the whole engine to privacy companies — turning would-be competitors into customers and building a defensible platform position.
SecureToken has a working platform, a live design-partner program, and a market moving from $30B to $110B by 2030. This round scales go-to-market and deepens the platform’s lead while the category is still forming.
Reach the 200+ privacy companies already building — and sell them the engine instead.
Harden private AI training and privacy proofs, where the 10× benchmark advantage compounds.
Finish SOC 2 and ISO 27001 programs to unlock enterprise and regulated buyers.
Join the design-partner program and reach production within thirty days.