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Sierra vs Superflows

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
Superflows has one; Sierra prices on request
Public API
Both have one
Higher Trust score
Sierra — 90 vs 83 for Superflows
Best fit
Sierra: Consumer brands and financial-services companies with high-volume support across chat and voice · Superflows: B2B SaaS teams prototyping an in-product assistant without hiring ML engineers
Status
Both up at our last check (Sep 6, 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

FactSierraSuperflows
CategoryAI Support ChatbotsCustom GPTs & Bot Builders
Pricing modelContactFreemium
Starts at—$999/mo
Public APIYesYes
Trust score90 / 10083 / 100
PlatformsWeb, APIWeb, API
CompanySierra Technologies, Inc.Learney AI Ltd
Launched—2023
Last verifiedSep 6, 2026Sep 6, 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

Superflows

Sound idea — point it at your OpenAPI spec and your users can talk to your product — but the public repositories have not been touched since mid-2024 and the step from free to $999/month is brutal. Treat it as a prototype dependency, not a platform bet.

Pros

  • Apache-2.0 source on GitHub, so you can read what it does with your API
  • React UI components reduce the frontend work to a snippet
  • free tier is enough to judge answer quality against your own spec
  • handles multi-tenant API keys rather than a single shared credential

Cons

  • GitHub repositories show no pushes since July 2024
  • nothing exists between the $0 tier and $999/month
  • three-person company that has raised under $1M
  • documentation and worked examples are thin next to CommandBar-class rivals

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 Superflows if you need

  • B2B SaaS teams prototyping an in-product assistant without hiring ML engineers
  • products that already have a clean, well-documented REST API
  • analytics dashboards where users would rather ask than build filters

Sierra vs Superflows: the questions people ask

Is Sierra cheaper than Superflows?

Superflows starts at $999/mo; Sierra prices on request, so a quote is the only way to compare.

Does Sierra or Superflows have a free tier?

Superflows has a free tier; Sierra prices on request.

Which has a public API, Sierra or Superflows?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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