Rylvo - 2026 Pricing, Features, Reviews & Alternatives

Rylvo is a unified control plane for building, deploying, governing, and evolving AI agents — from a single support bot to enterprise-scale multi-agent operations. It combines design tools, runtime supervision, and continuous improvement in one platform, so the agent you test is the agent you ship and the trace that explains it lives in the same system.

Bring your own LLM key

Rylvo's defining difference is that it runs on your own model key. Bot chat and every AI feature — prompt optimization, red teaming, evaluation, embeddings — execute on your OpenAI, Anthropic, Gemini, or OpenRouter key with zero markup and unlimited token usage. There are no credits and no wallet. You pay a flat subscription for platform capacity while your model spend stays directly between you and your provider. For teams migrating from usage-priced platforms, this is usually where the cost difference appears.

Build

29 prebuilt templates ship fully built with prompts, guardrails, connectors, knowledge base, scheduled tasks, reports, alert rules, evaluators, and test cases. The Workspace Architect converts a natural-language description into a reviewable plan of bots, prompts, guardrails, and connectors, with preview and approval before anything is created. Common deployments include customer support, HR, sales, IT helpdesk, and legal analysis.

Ground

A knowledge base connects 16 source types with 12 retrieval blueprints covering FAQ, policy lookup, troubleshooting, and custom patterns. Citations are preserved through to the answer, so any response can be traced back to the document that produced it.

Govern

Guardrails evaluate every response before it reaches a customer, and risky tool calls route to a human for approval instead of executing silently. Mission Control gives operators real-time oversight: monitor live sessions, intervene mid-conversation, and approve critical actions without losing context.

Observe

Every turn is traced span by span — prompt, retrieval, tool calls, tokens, latency, and cost — with per-agent cost attribution across multi-agent runs. Analytics dashboards cover bot health, spend, and operational trends.

Test and improve

Versioned test suites with LLM-judge scoring regression-check an agent before release. Agent Evolution analyzes production failures, clusters recurring issues, and proposes safety rules and prompt improvements. Separate test and production environments with gated promotion mean changes are compared and rolled back rather than pushed and hoped for.

Deploy

One agent reaches 13 channels without being rebuilt per channel: WhatsApp, Slack, Telegram, Discord, Microsoft Teams, Messenger, Instagram, SMS, LINE, inbound email, and an embeddable web widget.

Integrate

129 MCP tools plus a governed Model Context Protocol hub with an encrypted credential vault, and any bot can be exposed as an MCP server. A public REST API supports idempotency keys, per-key rate limiting, and signed webhooks. Conversation data can be synced into your own PostgreSQL, MySQL, or MongoDB, or dispatched to a webhook, with retention policies and GDPR consent tracking built in.

Security

AES-256-GCM encryption for stored credentials and provider keys, TLS 1.2+ in transit, per-organization tenant isolation, API key authentication with rate limiting, signed webhook verification, and full audit logging of administrative actions.