// MANTA · AI WORKFLOW AUTOMATION

Drag nodes,
turn repetitive work into
automated bots.

Manta — AI workflow automation platform. Build bots by connecting 17 node types: LLM inference, database, HTTP, webhook, media generation and more. Automate dev, support, reporting, and media pipelines — all without managing API keys.

All LLM calls routed via Anemone · Self-hosted ready · Data stays yours

// MANTA · WORKFLOW NODES
01
Pick a template or build nodes
17 node types · LLM / HTTP / DB / Webhook / Media
02
Configure node params
Prompt templates · Branch conditions · Sub-bot invoke
03
Batch run / scheduled trigger
Async job · Webhook callback · Audit log · Metrics
✓ Bot import/export · User API Key · Data-sovereign
// THE PAIN BEFORE AUTOMATION

You know the flow,
but every run still needs
someone to babysit it.

Repetitive processes eat human hours. The moment a workflow spans multiple tools, someone ends up copy-pasting and manually nudging steps. Manta turns them into reusable bots.

// 01 · DATA SHUFFLING

Every workflow means
opening N tools and copy-pasting.

Pull from CRM → dump to spreadsheet → feed AI manually → copy output → send email.
Manta db, http, json_parse, and template nodes wire the entire chain. One trigger, runs to completion.

// 02 · MANUAL BRANCHING

Any exception and the
whole flow waits for a human.

"If API returns error → fallback to route B" — someone has to read it and re-run manually.
Manta branch nodes embed conditional logic directly in the workflow. Loop nodes handle retries and batches without human babysitting.

// 03 · TOOL LOCK-IN

Connecting internal systems to external AI is painful — change tools and rebuild everything.

SaaS AI tools send your data to the cloud, API keys scattered everywhere, switch vendors and rewire all over again.
Manta routes all LLM calls through Anemone — one gateway, no scattered keys. Bots are importable/exportable, and you can wire your own systems without rearchitecting.

// THREE STEPS TO LIVE

Pick a template or pull nodes —
batch run handles the rest.

TPL

Step 1 — Pick Template or Build Bot

Start from the prompt template library with a ready-made bot (e.g. short-video script, support reply, report summary) or drag 17 node types to build your own. Bots are importable and exportable.

// TEMPLATE
CFG

Step 2 — Configure Nodes & Params

Assign prompt templates, branch conditions, or HTTP endpoints per node. Use invoke_bot nodes to call sub-bots, keeping complex logic modular and reusable.

// CONFIGURE
RUN

Step 3 — Batch Run or Scheduled Trigger

Run once manually, or feed a batch of inputs. Each job runs async in the background and pushes a webhook callback on completion. Audit log captures every run.

// EXECUTE
// ENTERPRISE-GRADE FOUNDATION

Data-sovereign,
wire your systems without rearchitecting.

Manta is built on FastAPI with PostgreSQL persisting bots and node definitions. All LLM calls route through Anemone. Webhook, User API Key, and Audit Log make Manta trustworthy enough to integrate into enterprise pipelines.

// ASYNC

Async Job & Batch Execution

Each bot run is a background async job. Feed multiple inputs as a batch — all processed without blocking the UI.

// GATEWAY

Anemone Gateway · Data-Sovereign

All LLM inference routes through Anemone — Manta holds no API keys. Your data stays within your infrastructure, not a third-party cloud.

// WEBHOOK

Webhook Callback

Job completion triggers a webhook push to your endpoint for event-driven integration — no polling required.

// AUDIT

Audit Log & Metrics

Every bot run is written to the audit log. A metrics endpoint exposes execution stats. User API keys allow independent multi-account management.

// USE CASES

Built for dev, ops,
and media teams alike.

17 node types cover API integration, data queries, and media synthesis. Bots are importable, exportable, and shareable across teams.

// FOR · DEV & TECH TEAMS

Dev & Tech Teams

Internal tools · API integration · Data pipelines
  • HTTP nodes wire internal APIs or third-party services
  • DB nodes query your database, json_parse nodes shape the response
  • invoke_bot nodes compose sub-workflows for modular complex logic
  • User API keys for multi-system integration, webhook callbacks to chain steps
// FOR · BIZ & OPS TEAMS

Biz & Ops Teams

Support automation · Report summary · Data processing
  • Email nodes send support replies or notifications automatically
  • RAG nodes retrieve from knowledge base for grounded AI responses
  • Template nodes enforce consistent format; prompt template library shared across bots
  • Branch nodes route by condition; batch execution handles high-volume tasks
// FOR · MEDIA & CONTENT TEAMS

Media & Content Teams

Flagship example workflow · Script-to-video pipeline
  • Script node generates expansion → outline → full script
  • TTS node synthesizes voiceover; pexels / stock_footage nodes source footage
  • video_compose node assembles final video; scenes node controls shot transitions
  • download_link node generates time-limited download URLs — the entire pipeline runs unattended
// BUILT ON HURRICANE PLATFORM

Built on the HurricaneSoft platform

Identity, AI capability and payments come from the platform layer — products need no per-app wiring: AI-ready, payment-ready, multi-tenant-ready out of the box.

LIDS
Unified identity · multi-tenant SSO (OAuth2 / OIDC)
AI Gateway
AI capability gateway — no per-app AI wiring
Hurricane Pay
Unified payments · subscriptions & invoicing
See the full platform architecture →
// START AUTOMATING

Less time wiring things manually,
more time on what actually matters.

Manta is currently in early access. Contact us to request an account or discuss integrating with your systems.