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Sierra vs Super Amplify

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Super Amplify has one; Sierra prices on request
Public API
Sierra has one; not confirmed by us for Super Amplify
Best fit
Sierra: Consumer brands and financial-services companies with high-volume support across chat and voice · Super Amplify: companies wanting department-specific AI assistants under one governance layer
Trust score
About even — Sierra 90, Super Amplify 86
Status
Both up at our last check — Sierra Sep 6, 2026, Super Amplify Sep 1, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactSierraSuper Amplify
CategoryAI Support ChatbotsAI Agents & Autonomous Workers
Pricing modelContactFreemium
Starts at—$47/seat/mo
Public APIYesNot confirmed
Trust score90 / 10086 / 100
PlatformsWeb, APIWeb
CompanySierra Technologies, Inc.Super Amplify LLC
Last verifiedSep 6, 2026Sep 1, 2026

What our research says

Sierra

Sierra is the enterprise end of the support-agent market: the pitch is not a chatbot but an agent that can actually change an order or a policy inside your systems, priced on what it resolves. The customer list and the certification wall are real signals that large regulated companies have put it in front of their users. It is a procurement, not a purchase - no public price, no trial, and an integration project before anything goes live - so a company without a sizeable support operation has nothing to buy here.

Pros

  • Agents take actions in order, billing and account systems, not just answer questions
  • One agent runs across chat, SMS, WhatsApp, email, voice and ChatGPT
  • Outcome-based pricing aligns the bill with resolutions
  • Ghostwriter drafts agents from existing SOPs and transcripts, and the founders' track record is unusually strong

Cons

  • No public pricing, trial or self-serve path
  • Outcome pricing needs a contract definition of 'resolved' that favours neither side - read it closely
  • Integration with core systems is a project with real lead time
  • Vendor lock-in is high once customer memory and policies live in its context engine

Super Amplify

Super Amplify's pitch is consolidation — one governed platform instead of a pile of disconnected department tools — and the on-prem/hybrid deployment option is a real differentiator for companies that won't put data in a pure SaaS. The custom 'suptoken' unit makes it hard to compare cost against competitors without doing your own usage math first.

Pros

  • department-scoped AI assistants (MyAgents) rather than one generic bot
  • hybrid and on-premise deployment options
  • data-governance and security framing built into the pitch
  • 3-day free trial on the paid Pro tier

Cons

  • pricing is denominated in a proprietary 'suptoken' unit that's hard to compare to competitors
  • enterprise features are described in marketing terms without much technical detail
  • no free-form API access documented

Which one fits

Choose Sierra if you need

  • Consumer brands and financial-services companies with high-volume support across chat and voice
  • Support leaders who want to pay per resolved case instead of per agent seat
  • Regulated industries that need HIPAA, PCI and ISO 42001 attestations from the vendor

Choose Super Amplify if you need

  • companies wanting department-specific AI assistants under one governance layer
  • organizations that need hybrid or on-premise deployment

Sierra vs Super Amplify: the questions people ask

Is Sierra cheaper than Super Amplify?

Super Amplify starts at $47/seat/mo; Sierra prices on request, so a quote is the only way to compare.

Does Sierra or Super Amplify have a free tier?

Super Amplify has a free tier; Sierra prices on request.

Which has a public API, Sierra or Super Amplify?

Sierra ships a public API, as of our last verification. A public API for Super Amplify is not confirmed by us — check its developer docs before you plan an integration.

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