Every building block, already connected
Conjoin offers the cloud services for an AI-native app on one platform, with one SDK, one auth context, and one invoice for all of them.
One SDK in place of a separate vendor for every service
When your app uses a separate vendor for each service, your team has to manage a dashboard, a set of credentials, and a retry policy for every one of them. Conjoin, however, gives your app every service through one client, one auth context, and one bill.
With a separate vendor for each service: Setup comes before the first feature
When a team uses a separate vendor for each service, it has to connect auth, a file store, a mailer, payments, and a queue one at a time before it can start on product work.
With Conjoin: One SDK connects every service
With the Conjoin SDK, your app uses one client for auth, storage, messaging, billing, AI, and background jobs, so the first feature that you write can call any of them.
With a separate vendor for each service: Each service checks the user on its own
Your app checks the caller at the login screen and then has to repeat that check on every call to another service. When a developer misses one of those checks, a query or a file download can return one user's data to another user.
With Conjoin: Storage checks the token that Auth issues
Conjoin Auth issues one token when a user signs in. Conjoin Storage checks that token against the access rules on each file, so it returns a file only to the users that those rules name.
With a separate vendor for each service: Each vendor keeps its own logs
When a user signs up, your app can send a welcome email, save an avatar, and open a billing record through three separate vendors. If one of those steps fails, you will have to search each vendor's dashboard to find out which step it was.
With Conjoin: Conjoin tags each call with one request ID
When one Conjoin service calls another, Conjoin passes the same request ID along with the call, so that you can match the steps of a sign-up across services by that ID.
With a separate vendor for each service: A direct AI call sends raw user data
When your app calls an AI provider directly, it can include personal data in a prompt, which the provider can then keep in its own logs.
With Conjoin: Conjoin applies your policy rules to each prompt
Before Conjoin AI sends a prompt to a model, it checks the prompt against the policy rules that you set and redacts the personal data that it detects.
With a separate vendor for each service: Each vendor reports failures in its own format
When a request fails between two vendors, your on-call engineer will have to work out which vendor dropped it and how that vendor reports the error.
With Conjoin: Every Conjoin service returns errors in one shape
Every Conjoin service returns its errors in the same shape, so your code can handle a failure in any service in the same way.
Services that launch together
Start with the service your app needs first. The rest read the same session, write to the same ledger, and return the same error shape from day one.
Conjoin Auth
Passwordless, OAuth, and multi-factor prompts share one session that every other service can read.
Conjoin Messaging
Transactional, marketing, and verification traffic gets through on the first try, with delivery analytics and carrier compliance handled.
Conjoin Storage
Store, transform, and serve files with CDN delivery, on-demand image optimization, and per-object permissions tied to the caller.
Conjoin Database
Postgres and SQLite run with automated backups, read replicas, connection pooling, and real-time row streaming through Conjoin Live.
Conjoin Billing
Cards, digital wallets, subscriptions, invoicing, tax, and local payment methods all run behind one API.
Conjoin AI
Per-user access, policy enforcement, and redaction apply before the prompt leaves your system, with an audit line on every return.
Conjoin Relay
Background jobs, scheduled tasks, durable queues, and real-time fan-out from one service, with retries and dead-lettering already in place.
Conjoin Runtime
Short snippets, sandboxed agent tool calls, and long-lived apps share one runtime with isolation, auto-scaling, and secret handling built in.
One request, every service plays its part
Read real onboarding, billing, AI, and webhook flows, and see which Conjoin services carry each hop.
From signup to paying account in one afternoon
Trigger: A visitor submits the signup form
A new account has its profile, its files, its welcome inbox, and its billing record on the same request. Your code writes one onboarding handler, not five.
Subscription activates and the whole app follows
Trigger: Billing confirms the first charge
The upgrade is real in every service by the time the receipt reaches the inbox. No cron job catches up the role an hour later.
AI answers with customer data and leaves a trail
Trigger: A signed-in user asks a question
The model receives only what the user is cleared to see. Compliance reads the transcript tomorrow and every line of the call is there.
A partner webhook fires and production holds
Trigger: A third-party webhook arrives at your endpoint
The event arrives once, leaves a copy for replay, and pages a human only when it should. Your on-call sleeps.
One SDK, every building block inside
Install once, import what you need. Every service reads the same session, returns the same error shape, and writes to the same trace.
One client, every service accepts it
Create the client once with your API key. Import only the services you need and call them directly.
One session every call honors
Auth issues the token. Storage, database, billing, and AI read the same session on their side, so your code stops re-authenticating at every hop.
One error shape across the stack
Every service returns the same error envelope. Retries and timeouts behave the same way, so one error handler works everywhere.
One trace ID for every request
A single request ID passes through every call. Logs, metrics, and alerts stay in the same order across services, so you can trace one request from start to finish.
Select a file to view its contents
Compare each task with separate vendors and on Conjoin
Compare the steps that your team follows for each task when every service comes from a separate vendor with the steps that your team follows for the same task on Conjoin. Then start with the task on which your team spends the most time.
Roll out passwordless login
Auth bills per active user, the rest of the stack bills your team
Auth providers charge by monthly active user, and the session they issue has no meaning inside your database, storage, or billing. Every downstream service needs its own identity mapping, its own permission check, and its own audit log.
Charge a monthly subscription with tax
Billing and Tax each take a cut on top of card processing
The billing platform takes a percentage of every renewal, the tax platform takes another, and both stack fees on top of the card processor. Your webhook code still maps customers to users, flips feature flags when a card fails, and keeps the entitlement table honest under retries.
Store a receipt PDF and serve it behind a permission check
Storage is cheap, egress and auth glue are not
Object storage exposes buckets, not sessions, and bills per gigabyte out. Proxying downloads through your backend for a permission check pays egress twice; signed URLs cut that to once and leave the expiry window and the auth check on you.
Reach a user across email and SMS with fallback
Two channels, two contracts, two unsubscribe tables
Email and SMS each need their own SDK, templates, and opt-out records. Cascading a transactional message from one to the other when a bounce arrives is glue code you write, then maintain per partner.
Build your next app on Conjoin
Conjoin will open with a free Build tier, while the pricing page already lists the launch prices for Pro and Business. If you tell us what you're building, we'll talk you through early access.