AI App Builders
The backend your AI app deserves
Your product's value is in its AI. The backend should not be a distraction.
- Use case
- AI App Builders
- Backend
- Planned, applied, verified
- Launch
- Free to validate
The problem
AI app builders spend enormous time on backend infrastructure — storing user conversations, managing user accounts, handling file uploads, triggering workflows — instead of improving the core AI experience.
How Backenly helps
Backenly handles all backend infrastructure automatically. Describe what your AI app needs to store and do, and Backenly generates the complete backend. You focus on making your AI smarter.
What you get
Structured storage for AI outputs
Store conversations, embeddings, user preferences, and AI-generated content in a properly structured PostgreSQL database — generated automatically from your description.
Event triggers for AI workflows
Trigger AI functions automatically on database events — when a user submits a form, when a record is created, when a threshold is crossed. Backenly handles the event routing.
User auth for AI products
Complete user authentication — sign-up, sign-in, sessions, and access control — included out of the box. No auth library to build or maintain.
Realtime for live AI experiences
Stream AI responses and live updates to users with built-in realtime subscriptions. No separate WebSocket infrastructure required.
After you launch
Pipelines and retrieval without extra infrastructure
AI products accumulate infrastructure fast: a queue for async inference, a vector store for RAG, a socket layer for streaming status. On Backenly these are backend features, not separate systems. Event-triggered and scheduled functions run your processing when data changes (with plan quotas from 10,000 to 2 million invocations a month). pgvector-backed semantic search keeps embeddings inside PostgreSQL, under the same row-level security as everything else — so user A's retrieval can never surface user B's documents. Job status is a row your frontend subscribes to over SSE. One system, one access model, one bill.
Your attention is the scarce resource
An AI product lives or dies on model behavior, prompt quality, and iteration speed — the parts only you can do. The autonomy loop takes the part anyone shouldn't have to do: it watches request traffic and error rates every minute, repairs what is safe to repair, queues risky changes for approval, and writes receipts for everything. Rate limits on the runtime API keep a hot user or leaked key from turning into an inference bill. The backend defends itself, so your best hours go to the AI layer.
Common questions
Can I connect Backenly to my AI model or LLM?
Yes. Backenly stores and serves data via REST APIs. Your AI logic can read from and write to Backenly like any other API. You can also use Backenly's serverless AI function layer to trigger model calls.
Can Backenly handle file storage for AI inputs like images or documents?
Yes. Backenly includes built-in file storage. You can upload files, generate signed URLs for secure access, and reference stored files from your database records.
Is Backenly suitable for AI products that need to scale quickly?
Yes. Backenly is production-grade infrastructure. You can start on the free plan and upgrade as your user base grows — without re-architecting your backend.
Start building your backend today
Free forever plan. No credit card. No infrastructure setup.