Robylon AI
Also known as: Robylon, robylon.ai
Omnichannel AI customer support platform automating chat, WhatsApp, email, tickets, social and voice, with human agents handling escalations in the same inbox.
Robylon AI is an omnichannel customer support platform running AI agents across a web chat widget, WhatsApp, Instagram, Facebook, Telegram, Discord, email and ticketing, and voice on both phone and WhatsApp calls, holding conversation context across those channels.
The agents are built to act rather than only answer: 32 named integrations span helpdesks and CRM (Zendesk, Freshworks, Intercom, Zoho, HubSpot, Salesforce, MS Dynamics, Oracle), telephony (Twilio, Exotel, Ozonetel, Knowlarity, Aircall, Amazon Connect), ecommerce (Shopify, WooCommerce, BigCommerce) and connectors (Zapier, Slack, MS Teams, Google Sheets, Jira, Notion, Confluence), with custom API integrations from the Business plan, so documented workflows include returns and refunds, payment troubleshooting, subscription and billing changes and order status.
Knowledge grounding is quantified per plan, from 50 to 5,000 knowledge sources with a KB testing suite and gap clustering. Model handling is explicit: a model selector and LLM fallback from Pro, and bring your own LLM at Enterprise. Commercially the AI is credit based rather than seat based, with optional human agent seats at three tiers. The company describes a deliberate AI plus human design, with expert humans reviewing edge cases under 24 hour oversight, so this is a managed layer over an agent platform rather than a purely autonomous product, and the published accuracy figures rest on that layer. Founded 2024 by Dinesh Goel (CEO, previously founder of Aasaanjobs) and Mayank Shekhar (CTO), roughly 23 people as of May 2026, engineering in Bengaluru with a San Francisco registration.
Vendor details
Canonical URL
https://www.robylon.ai/
Category
Customer support agent
Subcategory
Omnichannel AI customer support platform
Funding status
Pre seed, with four institutional investors reported and no round size disclosed.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
32 named integrations across helpdesks and CRM, telephony, ecommerce, social and connectors, plus Zapier and custom API integrations from the Business plan. The site claims 40 plus tools while the integrations page lists 32.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Full |
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A named catalog across several ecosystem classes with the agent taking authenticated action. Thirty-two integrations are listed individually with a described function each, spanning helpdesk and CRM with Zendesk, Freshworks, Intercom, Zoho, HubSpot, Salesforce, Microsoft Dynamics, Oracle and Confluence, commerce with Shopify, WooCommerce and BigCommerce, telephony, social, and connectors including Zapier, Slack, Microsoft Teams, Google Sheets, Jira, Notion, Dropbox, Google Drive and Gmail. Custom API integrations are a plan feature from Business upward. The documented work is transactional rather than informational: initiating returns, processing refunds against the CRM and inventory system, updating payment methods and managing subscriptions. The navigation and meta description both claim 40-plus tools, while the integrations page lists 32. Sourcerobylon.ai integrations and pricing pagesread 2026-09-06 |
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| Workflow Orchestration | Full |
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Multi-step execution named as a shipped feature and evidenced by the transactions it completes. Quick Actions appear in the plan matrix as multi-step automations from the Pro seat tier, and the use-case pages describe sequences the agent carries to completion rather than handing off: initiating a return, processing a refund against both the CRM and the inventory system, checking coupon validity, canceling a booking, rescheduling. Writing to two systems of record inside one run is orchestration rather than a scripted reply, and a named customer describes that same shape in production. No visual builder, branching, conditional logic, retry or failure handling is documented, so the orchestration is evidenced by outcome rather than by mechanism, and a buyer cannot see how a flow is authored or what happens when a step fails. Sourcerobylon.ai pricing page, use-case pages and customer testimonialread 2026-09-06 |
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| Knowledge Grounding & RAG | Full |
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A quantified corpus with per-tier ceilings. The plan matrix sizes the knowledge layer rather than asserting it: 50 knowledge sources at 1 MB on Starter rising to 5,000 sources at 500 MB on Enterprise, with custom knowledge base responses on every tier, knowledge base gaps and clustering from Pro, and a knowledge base testing suite from Pro. Sizing a corpus in sources and megabytes and metering it per plan points to a maintained, persistent store, and gap detection presupposes a maintained view of what the corpus contains. The storage ceiling is low, with Pro and Business sharing the same 40 MB limit, and no ingestion format list, index type, retrieval mechanism or refresh cadence is published. Sourcerobylon.ai pricing page comparison tableread 2026-09-06 |
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| Human Oversight & Guardrails | Partial |
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A shared inbox and a routed escalation, with no gate on what the agent sends. Live agent seats at three tiers put people in the same inbox as the agents, with transfer between agents, availability states, internal notes and full conversation history, and escalation can instead route out to Freshdesk, Zendesk or Zoho Desk for teams keeping their existing helpdesk. Takeover after handoff is not approval before sending; no pre-send queue, draft-review mode, confidence threshold or per-action sign-off is documented, and the agent initiates returns, processes refunds and updates payment methods autonomously once configured. Robylon's own 24-hour human oversight of edge cases is staff working inside its service rather than a control the buyer operates, and the published accuracy figures reflect that combined AI and human service. Sourcerobylon.ai pricing page and homepageread 2026-09-06 |
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| Security, Identity & Governance | Full |
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Access controls and a claimed attestation. The plan matrix states role-based access control from Pro, single sign-on at Enterprise, audit logs at Enterprise and custom data retention policies at Enterprise, so a named access model and identity integration are both present, tier-gated. Robylon's own site carries SOC 2, HIPAA, GDPR and CPRA badges linking to a trust center at trust.robylon.ai. No SOC 2 report is published outside that trust center, so the attestation rests on Robylon's own claim. Sourcerobylon.ai pricing page control matrix and site badges, trust.robylon.ai refusal observed twiceread 2026-09-06 |
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| Observability & Auditability | Partial |
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Broad reporting and a configuration audit, with no reconstruction of a run. Reporting grows by tier, with basic analytics on every plan, separate chat and voice analytics dashboards and AI insights and recommendations from Business, credits usage tracking throughout, and full reporting with a real-time dashboard plus scheduled exports at the Expert seat tier, with audit logs at Enterprise. Audit logs record configuration changes and user actions, and nothing documents inspecting an individual agent run to see which knowledge source grounded an answer, which of the 32 integrations it called, what it wrote back when initiating a return or refund, or why it escalated rather than resolved. On Starter, Pro and Business there is reporting but no audit record at all. Sourcerobylon.ai pricing page comparison tableread 2026-09-06 |
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| Memory & State Persistence | Partial |
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Conversation state yes, memory layer no. Robylon documents full conversation history on every seat tier, a unified customer context in the shared inbox so a human taking over sees what came before, and the product claim that context is maintained as a customer moves between channels. No memory layer with a stated scope and lifetime is documented, nothing describes durable memory across sessions, a customer profile store or recall beyond the transcript, and a buyer could not say where memory lives or delete it for one customer. Sourcerobylon.ai homepage and pricing pageread 2026-09-06 |
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| Deployment & Data Residency | Not documented |
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Cloud only, with no deployment choice of any kind. No self-hosted build, private VPC, on-premises option, air-gapped mode or customer-tenant deployment appears on any public page, and no statement identifies which region customer data is stored or processed in. Custom data retention policies at Enterprise govern how long data is kept rather than where it runs. The phrase flexible enterprise deployments appears only in vendor email, on no public page. Sourcerobylon.ai pricing page and site reviewread 2026-09-06 |
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| Prebuilt Agents, Templates & Packs | Partial |
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A shaped starting point rather than an adoptable asset. Six industry solution pages exist covering logistics, SaaS, fintech, gaming, ecommerce and crypto, each with named scenarios, a shared canned response library ships with the seat tiers, and the company states its models are pre-trained on more than ten million queries with go-live in seven days. Those are real signals that a buyer does not start from nothing. None of it is evidenced as an installable template, pack or gallery a buyer browses and deploys; industry pages describe what the product can do in a vertical, pre-training is a property of the model, and the canned response library is a set of agent replies rather than an agent. Sourcerobylon.ai homepage and industry pagesread 2026-09-06 |
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| Triggers & Channel Coverage | Full |
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Channel coverage documented as a per-plan matrix rather than a claim. Chat widget on every tier, WhatsApp from Pro, email and ticketing from Pro, voice phone calls from Business, voice WhatsApp calls at Enterprise, plus Instagram, Facebook, Telegram and Discord reached through the social integrations. Each is an independent inbound queue rather than another view of one surface. Telephony is carried by named partners, Twilio, Exotel, Ozonetel, Knowlarity, Aircall and Amazon Connect, rather than owned infrastructure. No event catalog, schedule or webhook trigger is documented, so coverage is by arrival path rather than by event, and initiation is inbound. Sourcerobylon.ai pricing and integrations pagesread 2026-09-06 |
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| Model Flexibility & Routing | Full |
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Customer control over the model, documented as five separate line items in the plan matrix: basic AI models on every tier, all AI models from Pro, a model selector from Pro, LLM fallback from Pro, and bring-your-own LLM plus custom models at Enterprise. A selector is customer choice at run time and bring-your-own is customer choice of provider; fallback adds routing behavior when a model is unavailable. The plan matrix also names the models. Basic AI models are OpenAI GPT-4o Mini, GPT-4.1 Mini, GPT-5 Mini and GPT-5 Nano and Google Gemini 2.0 Flash, 2.5 Flash Lite and 3.1 Flash Lite, and the full set adds OpenAI GPT-4o, GPT-4.1, GPT-5, o3 and o4-mini, Anthropic Claude Sonnet and Claude Haiku, and Google Gemini Pro, Gemini Flash and 2.5 Flash. Sourcerobylon.ai pricing page comparison tableread 2026-09-06 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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Nothing lets an outside caller drive this platform. Every documented mechanism runs outward: custom API integrations, a plan feature from Business upward, are Robylon connecting to the customer's systems, and Zapier is a connector in the same direction. No developer API reference, SDK, developer webhooks, agent card or addressable endpoint is documented, and Model Context Protocol is not mentioned anywhere on the site. A documentation site exists at guides.robylon.ai. Sourcerobylon.ai pricing page and site navigationread 2026-09-06 |
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| Testing, Debugging & Optimization | Partial |
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A quality loop over the corpus, not a change under test. A knowledge base testing suite is named in the plan matrix from Pro upward, knowledge base gaps and clustering surface where the agent is unsupported, and the company describes auto-correcting audits of model output under human review. No evaluation harness with scored cases, regression testing across agent versions, quality gate in a release path or controlled post-deployment experiment is documented, nothing describes previewing an agent change against defined conversations, the testing suite is named in a pricing table without a described mechanism, and the auto-correcting audit is Robylon staff reviewing output inside its own service. Sourcerobylon.ai pricing page and homepageread 2026-09-06 |
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| Browser & Computer Use | Not documented |
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No browser control, computer use or screen driving appears anywhere in public materials. Robylon reaches external systems through its 32 named API integrations and its telephony partners, and its own surfaces are a chat widget, a shared agent inbox and messaging and voice channels, which are channels the agent speaks through or the vendor's own interface rather than software it operates. Sourcerobylon.ai site reviewread 2026-09-06 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
$25/mo
AI credits consumed per message, with optional human agent seats billed separately
Included quota
Starter 300 credits, Pro 500 credits, Business 4,500 credits, Enterprise custom
What is public
Four workspace tiers with dollar rates and credit allocations, three human seat tiers with dollar rates, three add ons with dollar rates, a full feature comparison table across every plan, and an FAQ describing how credits are consumed.
Billing mechanics
Credits are the unit. Every AI processed message consumes credits at a base processing cost plus a model usage cost that varies by model. Workspace plans carry a monthly credit allocation and extra credits are bought in 1,000 credit bundles at $25. Human agent seats are an optional separate line at $19, $49 or $89 per seat per month and can be mixed across tiers on one workspace. Annual billing carries a stated discount on plans and 10 percent on add ons.
Cost watchouts
Removing the Powered by Robylon badge is $29 a month and a custom domain is $49 a month, so a fully branded deployment adds $78 a month on top of the plan. AI Copilot is unlimited only on the $89 Expert seat and capped at 50 uses a month on the $49 tier. Model choice changes credit burn, so effective cost per conversation is not fixed by the plan.
Variable cost rationale
Two independent meters. Credits are consumed per message at a cost that varies by which model handles the turn, so the same conversation can cost different amounts and the published chats per month figures are explicitly approximations. Human agent seats are a second bill at $19, $49 or $89 each. A team scaling volume and headcount together is exposed on both axes at once, and voice is the least predictable channel of the set.
Additional watchouts
Audit logs, single sign on, custom data retention and bring your own LLM are all Enterprise only, so a mid market buyer with a compliance requirement is pushed to a quoted contract regardless of volume. Voice on phone calls needs Business and voice on WhatsApp calls needs Enterprise. Pro and Business share the same 40 MB knowledge base ceiling despite a four fold difference in permitted knowledge sources.
Overage / add-ons
AI agent responses pause when credits are exhausted while the human agent inbox keeps working. Top up in 1,000 credit bundles at $25 or move up a tier. Balance alerts at 50 percent, 20 percent and zero.
Sales call required
Mixed (some tiers require a call)
Free / trial
Starter, free forever, 300 credits a month, chat channel only
Lowest paid plan
Pro, $25 a month, 500 credits, approximately 67 chats
Commercial notes
The vendor positions its effective cost per AI resolution at $0.10 to $0.30. The platform is usable with zero human seats, escalating out to an existing helpdesk instead, which is the cheapest configuration and is stated plainly in the vendor's own FAQ.
Key ambiguities
Three contradictions on the vendor's own pricing page, all found 22 Aug 2026. One, the Starter plan is stated three different ways: $0 with 300 credits in the monthly view, $0 with 500 credits in the annual view, and $15 a month with 300 credits in the page's own FAQ. Two, the annual toggle prices Pro at $67.50 a month against $25 billed monthly, an increase rather than the advertised 10 percent saving. Three, the annual Pro card and the annual Business card both state the identical 42k credits on purchase. The monthly view is internally consistent and matches the comparison table.
Cancellation / refund
Not published. No cancellation or refund terms appear on the pricing page, and the terms of service page was not read in this pass.
Support SLA / resale
Priority support and SLAs are Enterprise only, as is a dedicated account manager. Email support starts at Pro. Starter is community and documentation only.
Missing data
No published price for voice minutes or per call, which matters because voice is a Business and Enterprise channel. No credit cost per message, only that it varies by model, so the approximately 40, 67 and 600 chats a month figures cannot be reconstructed and no estimator can be built. No Enterprise floor of any kind. No published annual contract terms, cancellation or refund policy.
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Alternatives to Robylon AI
The closest documented capability profiles to Robylon AI among customer support agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Chatbase10.0 / 14Adds documented APIs, SDKs & MCP Extensibility
- Kommunicate10.0 / 14Adds documented APIs, SDKs & MCP Extensibility
- Cendra7.5 / 14Fuller documented coverage on Human Oversight & Guardrails
- Readyly7.5 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs
- Botpress11.0 / 14Adds documented APIs, SDKs & MCP Extensibility
- KODIF9.0 / 14Adds documented Deployment & Data Residency
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded