One platform.
Six modules.
Each module does one thing exceptionally well and composes with the others through a shared identity, memory, and audit substrate. Pick the entry point that matches your problem; the rest comes online when you need it.
Click through each surface.
No more shadow AI.
applatform.ai auto-discovers AI apps from every model provider you connect: ChatGPT Enterprise, Claude Teams, Bedrock workspaces, Copilot, custom builders. Each surfaces as a governed asset with an owner, model, and policy attached on day one.
- Auto-crawl from ChatGPT/Claude/Bedrock/Copilot
- Owner + cost center auto-assigned by IdP group
- Per-app spend, call volume, and risk scoring
- CSV/SCIM sync for "register everything from this team"
Identity that follows the app.
applatform.ai plugs into Okta, Entra, Auth0, or any OIDC provider. Every app inherits your IdP groups and SCIM lifecycle. Tokens are scoped per-app, per-tool, and per-call — and revoked everywhere in one click.
- SSO via Okta, Entra, Auth0, OneLogin, Ping
- SCIM 2.0 for provisioning + deprovisioning
- Per-app scoped tokens, per-tool scoped scopes
- Step-up auth for sensitive actions (WebAuthn / MFA)
A real SDLC for prompts.
Define your promotion pipeline once: eval suites, prompt diffs, approver chains, policy gates. Every app moves through the same gates with full diff and rollback. Promote a build like you would real code, because it is.
- Eval suites (auto + golden-set human review)
- Prompt/tool diffs with side-by-side compare
- Approver chains by group, role, or attribute
- Auto-rollback on regression, on-call alerting
Connect once, govern forever.
83 enterprise connectors with field-level scopes and per-call audit. applatform.ai proxies tool calls so you can mask fields, enforce rate limits, and route through your egress controls without rebuilding each app.
- Salesforce, ServiceNow, Workday, Jira, Snowflake +80
- Field-level masking (SSN, DOB, PHI) at the connector
- Per-call audit with response diffing
- Custom connector SDK — 30-min ramp
A memory layer your security team will sign off on.
Centralized vector + KV stores partitioned by namespace, with PII redaction enforced before write. Retention, tenant isolation, and encryption are platform-level, not per-app afterthoughts.
- Vector + KV in one API · pgvector/pinecone/turbopuffer
- PII detection + redaction at write hook
- Per-namespace retention, encryption, tenant isolation
- Audit on every read, write, and delete
Replay any conversation, any time.
Every model call, tool use, memory read, and output is signed, timestamped, and stored. The audit log is a first-class product surface — you can grep, replay, diff, and export. Compliance loves it. Engineers use it for regression tests.
- Cryptographically signed runs, replayable to bytes
- Versioned prompts + tool defs + responses
- Cost ledger per app, per user, per tool, per call
- Export to S3, Splunk, Datadog, your warehouse
One control plane. Your data stays put.
applatform.ai runs alongside your existing model providers and data systems — no token reseller, no data lake to consolidate. Tools and memory live where you want them.
Start governing
before the next 50 apps ship.
A 30-minute call. Bring your three thorniest apps and a security lead. We'll show you how the factory floor handles each one.