Build AI systems that do more than talk.
Design agents, coordinate multi-step workflows, ground answers in your own knowledge, and inspect every decision from one connected control plane.
The complete toolkit for applied AI.
Move from a single prompt to an observable system with models, tools, knowledge, and delivery channels that work together.
Agent Studio
Shape identity, instructions, tone, model behavior, memory, and runtime permissions in one focused editor.
Multi-agent workflows
Coordinate specialized agents with sequential, parallel, orchestrator, router, reflection, and planning patterns.
Grounded knowledge
Build vector, reranked, multimodal, graph, hybrid, or routed RAG pipelines from your own documents.
Tools & MCP
Connect web search, code execution, internal APIs, and remote MCP servers with granular tool access.
Observable execution
See every thought, tool call, observation, retrieved passage, and handoff behind the final answer.
Ready for your users
Test in the playground, expose secure APIs, or publish a branded chat widget on your website.
No black boxes. Follow the thought-to-action trail.
Inspect tool calls, observations, retrieved context, and final responses as they happen.
One path from intent to production.
Build each layer in sequence, test the result, then publish it wherever your users already are.
Ground it in trusted knowledge
Select a RAG architecture and embedding model, upload documents, configure retrieval depth, and test the context returned for real queries.
Connect the tools your agents need
Register an MCP server, configure its endpoint and credentials, discover its tools, then grant agents access to the operations they need.
Give an agent a clear role
Name the agent, write its system instructions, choose a communication tone and model, then enable only the knowledge and tools it needs.
Turn specialists into a workflow
Choose one of six orchestrator patterns, map agents to each functional role, tune iteration limits, and validate the complete graph.
Run, inspect, and refine
Exercise the complete system in the playground, inspect every execution step, and connect it to your product through a secure API.
Publish a branded widget
Choose the agent, workflow, or RAG target, secure the allowed origins, shape the visual experience, and embed the chat where your users already work.
Start free. Scale when the work does.
Free
Explore the platform and ship your first useful AI experience.
- 25 AI credits / mo
- 5 RAG docs (100 MB)
- 5 AI agents
- 5 workflows
- 5 RAG pipelines
- 1 MCP server
- 1 web widget
- No Team Members
- No API access
- Safety budget overage support
Starter
For builders and small teams moving real workloads into production.
- 500 AI credits / mo
- 50 RAG docs (500 MB)
- 30 AI agents
- 15 workflows
- 15 RAG pipelines
- 3 MCP servers
- 5 web widgets
- 2 API keys
- 3 Team Members
- Safety budget overage support
Pro
More capacity and deployment options for growing AI operations.
- 2000 AI credits / mo
- 100 RAG docs (1 GB)
- 50 AI agents
- 25 workflows
- 25 RAG pipelines
- 10 MCP servers
- 10 web widgets
- 5 API keys
- 10 Team Members
- Safety budget overage support
Business
A tailored platform plan for teams with distinct capacity, security, and deployment requirements.
- Custom AI credit allocation
- Custom RAG documents and storage
- Custom agents and workflows
- Custom RAG pipelines
- Flexible MCP and widget access
- Custom API access and AI models
- Custom Team Member
- Dedicated onboarding and support
Prices exclude applicable taxes. Upgrade, downgrade, or cancel at any time.
Questions, meet clear answers.
Straightforward answers about agents, workflows, privacy, and infrastructure.
Ask something else01What can I build with Nymrio?
You can create standalone AI agents, multi-agent workflows, document-grounded RAG systems, API integrations, and branded chat widgets from the same workspace.
02Do I need to write code?
No for the core setup. Visual forms cover agents, workflow roles, RAG pipelines, MCP connections, and widgets. API access is available when you need custom integration.
03Which AI models can I use?
The platform supports models from providers such as OpenAI, Anthropic, Google, and Ollama. Availability depends on your plan and configured provider access.
04How do multi-agent workflows work?
You select an orchestrator pattern, assign a specialized agent to each role, and the runtime manages routing, parallel work, review loops, or synthesis according to that pattern.
05What RAG architectures are available?
Naive, Retrieve-and-Rerank, Multimodal, Graph, Hybrid, and Router RAG are available, each with visual configuration for its models and retrieval parameters.
06Can agents use external tools and APIs?
Yes. Agents can use native web search and code execution, plus tools discovered from connected Model Context Protocol servers.
07Can I inspect what an agent did?
Yes. The playground exposes execution steps including thoughts, tool calls, observations, retrieved context, and the final synthesized answer.
08How do AI credits work?
Credits represent platform AI usage. Each plan includes a monthly allowance, and paid plans support safety-budget overages to help prevent interrupted workloads.
09Can I change or cancel my plan?
Yes. Plans can be upgraded, downgraded, or canceled. Annual billing offers a discount compared with paying monthly.
10Is there a free plan?
Yes. The Free plan includes credits, agents, workflows, RAG pipelines, an MCP server, and a web widget so you can validate a complete use case before upgrading.
Tell us what you want to build.
Need custom limits, enterprise security guarantees, or guidance on architecture? Send us a note.