Parahelp vs Decagon
Parahelp vs Decagon compared: setup speed, channels, configuration, compliance, and pricing for AI customer support agents, plus where Runtime fits for fintech teams behind the ticket.
TL;DR: Parahelp is the faster, self-serve choice for software companies that want an AI support agent live in hours with published pricing. Decagon is built for enterprise consumer brands with voice, deeper QA tooling, and a forward-deployed team. Both stop at the support ticket.
| Feature | |||
|---|---|---|---|
| What it is | AI support agent plus builder agent | AI agents for customer experience | Agent harness for every payment team |
| Typical customer | Software and AI companies | Enterprise consumer brands | Payment and fintech operations |
| Channels | Email, live chat, Slack | Voice, chat, email | Internal: Slack, Teams, email, voice |
| How agents are configured | Internal Agent, plain language | AOPs in natural language | Agents built from your SOPs |
| Time to live | Within hours | Weeks, per Decagon | First agent built with an FDE |
| Certifications | SOC 2 Type II, GDPR | SOC 2, ISO 27001, HIPAA, PCI, GDPR | Controls run in your cloud |
| Where it runs | Hosted platform | Hosted, or headless in your stack | Your cloud or self-hosted |
| Pricing | Published, from $1,000/month | Not published | Free, Teams from $99/seat |
Parahelp and Decagon both build AI agents that resolve support tickets end to end, not just answer FAQs. They come up together because both take actions in your systems and both sell on resolution. They are built for different companies: Parahelp for fast-moving software teams that want to self-serve, Decagon for large consumer brands running support at enterprise scale.
Parahelp vs Decagon at a glance
Parahelp is an AI support agent platform from Y Combinator's Summer 2024 batch. Its Customer Agent resolves issues over email, live chat, and Slack, and its Internal Agent builds, tests, and improves the Customer Agent from natural language instructions. It connects to any tool with an API, such as Stripe or Retool for billing and refund questions. Published customers include Perplexity, Captions, Bolt, Kit, and Fyxer.
Decagon builds AI agents for customer experience across voice, chat, and email. Agent logic is written as Agent Operating Procedures (AOPs) in natural language, with Duet for building agents, Watchtower for always-on QA, Experiments for A/B testing, and Insights for reporting. Customers include Chime, Duolingo, American Airlines, and Deutsche Telekom.
Product scope
Parahelp. A focused support agent with a builder agent attached. Support teams change behavior by telling the Internal Agent what they want, and it tests and applies the change. Channels are email, live chat, and Slack, which suits software companies whose support lives in the inbox and in-app chat.
Decagon. A broader CX platform. Voice is a first-class channel, AOPs carry the workflow logic, and engineers get Git-backed agent logic with versioned staging and production workspaces. The testing, QA, and experimentation tooling is built for large support organizations.
Compliance and data
Parahelp. SOC 2 Type II audited and GDPR compliant, with encryption at rest and in transit, role-based access, and a commitment not to train models on your data. A trust center publishes subprocessors and documentation.
Decagon. Lists SOC 2 Type II, HIPAA, GDPR, PCI, and ISO 27001, with automatic PII redaction, RBAC, and SSO. That broader list matters for banks, fintechs, and healthcare companies with longer security reviews.
Implementation and support
Parahelp. Designed to be live in about three hours: connect context and tools, review configuration in chat, deploy. Larger plans add SSO/SAML, RBAC, priority support, and tailored onboarding.
Decagon. Says most enterprises go live in weeks, and includes a forward-deployed team with every engagement to get to production.
Configuration and control
Parahelp. The Internal Agent is the main control surface. Support leads describe a change, the Internal Agent builds and tests it, and the Customer Agent improves. Scale and Custom plans add role-based access with Admin and Operator levels, so changes are not open to everyone.
Decagon. AOPs are the control surface for support teams, and engineers work in Git-backed, versioned workspaces with separate staging and production. Experiments let teams A/B test agent changes before rolling them out. More process, more control, suited to large organizations.
Pricing
Parahelp publishes three tiers: Start at $1,000 per month (under 3,000 tickets a month, with a 14-day trial), Scale at $4,000 per month (3,000 to 20,000 tickets), and Custom above that. Resolved tickets are charged on top, and the Internal Agent is billed at token usage plus 20%.
Decagon does not publish prices. It offers per-conversation or per-resolution pricing through sales, varying by channel and volume.
Where Runtime fits
Both products serve one team, support, and both are at their best when the answer lives in your docs and a few API calls. Payment companies have a harder class of ticket: "where is my payout", "why was I charged twice", "why is my account under review". The answer sits with other teams. A single stuck payment touches four teams: support gets the ticket, payment ops traces it, finance sees a recon break, and risk or compliance may review it.
Runtime is the AI agent harness for those teams. Support, payment ops, finance, risk, and compliance build agents from their SOPs on one platform. Agents run on isolated computers in your own AWS, GCP, or Azure account, or fully self-hosted, use any model you choose, and reach the ledger, processor, bank files, and portals with no API. They start read-only, pause for approval before anything moves money, and record every run end to end. Runtime runs alongside Parahelp or Decagon: the support agent handles the customer, and Runtime handles the investigation behind the ticket.
Which should you choose
- Choose Parahelp if you are a software company, want an AI support agent live in hours, and prefer published pricing and a self-serve setup your support team controls.
- Choose Decagon if you run large-scale consumer support, need voice, want enterprise QA and experimentation tooling, and need PCI and HIPAA on the certification list.
- Choose Runtime if you are a payment or fintech company whose tickets lead into ledger, processor, and risk investigations, and you want those teams on agents in your own cloud.
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Frequently asked questions
What is the difference between Parahelp and Decagon?
Parahelp is a fast-setup AI support agent aimed at software companies, with an Internal Agent that builds and improves the Customer Agent from plain-language instructions. Decagon is an enterprise customer experience platform with voice, chat, and email agents defined by Agent Operating Procedures, plus QA, testing, and analytics tooling.
Is Parahelp cheaper than Decagon?
Parahelp publishes pricing starting at $1,000 per month plus charges per resolved ticket. Decagon does not publish prices; it offers per-conversation or per-resolution pricing through sales, so a direct comparison requires a quote.
Does Parahelp support voice?
Parahelp lists email, live chat, and Slack as its channels. Decagon supports voice, chat, and email.
Which is better for a fintech company?
Decagon lists PCI and HIPAA among its certifications and counts fintechs like Chime as customers. Parahelp is SOC 2 Type II and GDPR compliant and its published customers are mostly software companies. For investigations across the ledger, processor, and risk systems, fintechs often need Runtime behind either one.
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