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ASAPP vs Decagon (2026)

Comparing ASAPP and Decagon? Both are AI Agents & Chatbots and Enterprise tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at pricing and an estimated monthly bill, channels, compliance claims, and integrations, plus when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.

At a glance

Conversations/mo

% handled by AI

Agent seats

Price it at my volume

Estimates assume 5,000 conversations a month, 60% handled by AI and 10 agent seats, at each vendor's published list price (the cost calculator's model); treat them as a floor, not a quote. Compliance rows are what vendors publicly claim, and “Not verified” means we have not confirmed that fact yet, not that the tool lacks it.

Choose ASAPP or Decagon?

About ASAPP

ASAPP builds AI for very large contact centers. Its current product is ASAPP CXP, a customer experience platform built around GenerativeAgent, an AI agent that handles voice and chat conversations end to end: it is grounded in your knowledge base, connects to core systems to take actions, handles interruptions and topic changes, and keeps a persistent memory of each customer across interactions. CXP adds testing and simulation before launch, observability tools that log every agent decision, and, since April 2026, multiple specialised AI agents with orchestration. It sits in front of or alongside an existing CCaaS rather than replacing it, connecting over SIP, APIs, a web SDK, MCP and A2A, and prebuilt connectors including Amazon Connect, Salesforce, Zendesk, Twilio, HubSpot, Freshdesk, SharePoint and Snowflake.

The behaviour worth understanding is how ASAPP handles the moment the AI gets stuck. Instead of a classic handoff, its Human-in-the-Loop Agent (HILA) workflow lets GenerativeAgent ask a human for guidance or approval without leaving the conversation; the human works in a workspace called AgentDesk and can observe, approve or override responses, and ASAPP says one person can oversee multiple voice calls at once. That makes it a fit for operations that cannot fully automate high-stakes contacts but want far fewer humans per contact. ASAPP also leans on safety credentials: automated input and output filters, hallucination checks, continuous red teaming against more than 50 vulnerability types, zero data retention and PII redaction before storage.

Gustavo Sapoznik founded ASAPP in June 2015 to build AI specifically for customer service, starting with an asynchronous messaging platform and response suggestions for agents, moving into voice in 2018 and launching GenerativeAgent in May 2024. Katie Stein became CEO in August 2026. Its board and investors include John Doerr of Kleiner Perkins and Dave Strohm of Greylock, with Frank Slootman on the board. Published customer results are airline-heavy: JetBlue's AI agent, Amelia, reports a 45 percent containment rate and 73,000 labour hours saved in one quarter, and American Airlines saw CSAT rise 11 percent with over half of inquiries contained within six months. Dish, Altice USA and Tangerine Bank are also named.

ASAPP publishes no pricing; access is through a demo with its sales team. Choose ASAPP if you run a large, high-volume contact center in travel, telecom, insurance or financial services and want an AI agent that resolves contacts under human supervision without ripping out your CCaaS. Skip it if you are a mid-market or smaller support team: the product, the case studies and the sales motion are all aimed at enterprises.

Read the full ASAPP listing →  ·  See ASAPP alternatives →

About Decagon

Decagon builds what it calls an AI concierge: autonomous agents that resolve customer issues across chat, email, voice, and SMS, all sharing one brain and one memory of your customer. Instead of trapping your logic in brittle decision trees, Decagon uses Agent Operating Procedures, plain-language playbooks that describe how you want issues handled. Its voice agents answer with sub-second latency, handle interruptions gracefully, and can dial out as well as pick up, which makes them feel far closer to a competent human than to a phone tree.

The company's rise has been ridiculous in the best possible way. Founded in 2023 by Jesse Zhang and Ashwin Sreenivas, alumni of Google, Palantir, Citadel, and Scale AI, Decagon went from a standing start to a multi-billion-dollar valuation in roughly two and a half years, with its worth reportedly tripling in a single seven-month stretch as investors piled in. The name itself is a quiet math joke, nodding to the ten-sided polygon.

What keeps the logos coming is deployment quality. Decagon leans into white-glove onboarding, exposes full conversation logs so teams can audit and improve every answer, and routes genuinely hard cases to humans cleanly rather than bluffing. Its customer roster reads like a tour of the modern internet: Notion, Duolingo, Rippling, Eventbrite, Substack, Chime, and Affirm among them, plus larger enterprises adopting its outbound and proactive agents.

Pricing is sales-led and usage-based, offered per conversation or per resolution with volume discounts, so it is squarely an enterprise purchase rather than a quick self-serve signup you try on a whim. For teams that want an AI agent that feels concierge-grade, keeps a persistent memory of each customer, and can be tuned in the plain language a support manager actually speaks day to day, Decagon has become one of the most talked-about names in the category.

Read the full Decagon listing →  ·  See Decagon alternatives →

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