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✓ Vetted 5.6/10 TrustScore

✓ Astral

Automation & Integrations

No-code platform for building and deploying enterprise AI agent workflows.

Why we recommend them

Astral is a no-code AI workflow engine that lets teams build, test, and deploy agentic automations without engineering resources. It's aimed at enterprises and creative businesses that want to integrate AI into operations—like personalized content, data analysis, and customer workflows—without a long custom-development cycle. The platform connects to multiple LLM providers and existing company data/tools while keeping data private.

✓Supports multiple AI models (OpenAI, Anthropic, Google Gemini, DeepSeek, ElevenLabs, Deepgram, Perplexity) in one drag-and-drop interface

✓Includes built-in evaluation tools to compare and refine AI outputs before launch

✓States customer data is not used to train LLMs and stays under the company's control

What we actually verified

5.6/10 TrustScore

—Money-back guarantee verified

✓Free trial available

—Reachable customer service

✓No fine-print return conditions

✓No unrealistic claims detected

Vetted 2026-07-13 · How we vet →

Visit Astral →

Straight referral — we earn nothing from this link.

Common questions about Astral

Is Astral legit and safe to buy from?

Yes — Astral passed the WhatiseBrokering.com vetting checklist (try before you buy, no fine-print returns, a real way to reach them, realistic claims only) before being listed. We remove companies that stop meeting the standard.

Can I try Astral before committing?

Yes — our vetting verified a free trial on Astral's site, so you can try before you pay. No fine-print traps were detected at the time of vetting.

How do I reach Astral if something goes wrong?

Astral publishes a real customer-service contact (phone or email) — that's a listing requirement. If you can't get a response, tell us at [email protected] and we'll review their listing.

Why is Astral listed on WhatiseBrokering.com?

We discovered and vetted Astral ourselves. They don't pay us anything — they're listed purely because they meet the standard.

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