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Connect Ai ml api to Backendless

When something happens in Ai ml api, Notis takes the next step in Backendless. Describe what you want in plain English, or start from one of the examples below.

When this happens · Trigger

Do this · Action

Examples

Ways Notis can move work from Ai ml api to Backendless

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Classify records with AI before saving the result

Send content to an AI workflow, then retrieve matching Backendless records to check context before taking action.

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Turn AI findings into a Backendless notification

Analyze incoming content with AI and publish a concise Backendless message when a finding needs attention.

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Review Backendless records on a schedule with AI

On a recurring schedule, retrieve a defined set of Backendless records and use AI to summarize notable patterns.

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Publish a scheduled AI digest to Backendless

Create a recurring AI digest from a specified Backendless data set and publish it to a Backendless messaging channel.

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Prioritize follow-ups using AI and Backendless context

Analyze a webhook submission and retrieve related Backendless records to create a grounded follow-up priority summary.

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Publish AI risk alerts to a Backendless channel

Analyze webhook content for a specified risk signal and publish a concise alert to a Backendless channel for review.

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Find stale Backendless records with a scheduled AI review

On a schedule, retrieve records matching a defined stale-data query and summarize which ones may need a human review.

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Publish scheduled Backendless exception summaries

Retrieve records matching defined exception criteria on a schedule, summarize them with AI, and publish a channel update when needed.

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Compare possible duplicates against Backendless records

Analyze an incoming item and retrieve similar Backendless records to present possible duplicates for human review.

Supported Triggers and Actions

Notis builds workflows that link Ai ml api to Backendless. A trigger fires from one place; an action lands in another.

Ai ml api triggers

Backendless actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Copy File

Copy a file or directory in file storage.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Create Directory

Create a directory in file storage.

ActionInstant

Create Backendless Hive

Create a Hive.

ActionInstant

Create Backendless Timer

Create a timer for scheduled server-side tasks.

ActionInstant

Delete Directory

Delete a directory from file storage.

ActionInstant

Delete File

Permanently delete a file from storage; this cannot be undone.

ActionInstant

Delete Backendless Timer

Immediately and permanently delete a timer, stopping scheduled runs; this cannot be undone.

ActionInstant

Directory Listing

List files and directories in storage.

ActionInstant
Trigger Types

Four ways to start an automation.

A trigger is the event that kicks a workflow off. Notis supports four kinds: an event in a connected app, an inbound webhook, a recurring schedule, and soon, your own database.

Integration triggers

Fire when something happens inside a connected app. New Notion page, Stripe charge, Linear issue: any of 1,000+ apps can start a workflow.

New Notion pageStripe chargeCalendar event

Webhook triggers

A unique URL per workflow. Anything that can send an HTTP POST can start an automation, including no-code tools that speak webhooks.

Any HTTP POSTCustom backendIoT event
Works with
ZapierPipedream
Most used

Recurring triggers

Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.

Daily · 8:00HourlyWeekdays only
Coming soon

Database triggers

Watch a row, query, or threshold in your own database and fire the moment the data changes. Row inserted, value crosses a limit, query starts matching.

Row insertedValue > limitQuery match
Why AI automation

Classic automation breaks. AI adapts.

Same triggers and actions, smarter middle. AI handles the fuzziness that breaks traditional Zapier-style workflows the moment a field gets renamed.

Classic automationAI automation
Cost
$ · pay per run
$$ · AI models per run
Reliability
Breaks on schema change
Adapts to format changes
Setup
Click 8 dropdowns
Describe it in English
Handles fuzzy
Hard-coded fields only
Reads intent, summarises
Human in loop
Bolted on
Built in · approval inbox
Maintenance
You own every break
Self-heals · we own it
Ease of use

Describe it. Notis builds it.

Skip the visual builder. Tell Notis what you want, in plain English. It writes the workflow, you review and deploy.

Notis

You · in the Notis Builder

NEW

“When a row gets added to the Q4 OKRs Notion database and the status is Blocked, send a Telegram message to the owner with a summary of what's blocking, and ping me if there's no reply within 24 hours.”

Notis built this automation:

TriggerRow added to "Q4 OKRs"
Condition✦Status = "Blocked"
AI step✦Summarise the blocker in plain English
ActionDM the row owner with summary
Timeout✦No reply in 24h → ping you
Observability

Watch every run.

Notis Desktop is Mission Control for your AI automations. See every run, replay, edit, or rewind. Set approval gates so Notis pauses before destructive actions.

  • Full run history with inputs, outputs and traces
  • Replay any run with edited inputs
  • Approval inbox, confirm via chat in one tap
  • Audit logs for compliance teams

Automations

Inbox

All12Manager5Telegram1Messages0Whatsapp2Email4Slack8

Migrate background jobs to a durable queue You can cancel it through Stripe

3 days

Notis v3 release update This one’s v3: Notis Manager (desktop app with …

8 days

Add multi-tenant RBAC User initiates a voice call

13 days

Draft pricing v (tiers, limits, overages) and sanity-check margins

2 weeks

Verify analytics events for new features That’s a really interesting automat…

1 month

Everything in the box.

Whatever starts the workflow, the platform underneath is the same: a thinking brain, full visibility, and you in control.

AI in the middle

Every step can include an LLM call: summarise, classify, extract, rewrite.

Full observability

Every run, every step, every input, all replay-able from Mission Control.

Human in the loop

Pause for approval. Notis pings you in chat with one-tap approve.

Self-healing

When an API changes shape, Notis adapts the parser. Less midnight fire-fighting.

Related pairs

More ways to connect Ai ml api and Backendless

Connect any two apps with Notis in the middle.

Ai ml api and Backendless, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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No card. Works with personal or business Backendless.