Run everything from simple agents to complex multi-agent systems with custom logic and data sources. Import existing agentic pipelines, chain multiple models with non-model stages and custom data sources, and scale it all seamlessly.
Scheduling, orchestration, and optimization are the runtime's job. Adding capabilities to your agents is yours.
A single agent with a tool loop, a planner that fans out to workers, a debate between critics, or a pipeline with custom code between stages. NiNI Cloud treats them all as the same thing: a graph of stages that it schedules for you.
Bring an existing agentic pipeline as it is. Your orchestration code, prompts, and tool definitions stay yours; NiNI Cloud wraps each stage and takes over scheduling. No rewrite to get started, and no lock-in to leave.
Chain multiple models with the stages that make agents useful: web search, retrieval over your documents, structured queries, rerankers, validators, and plain functions. One graph, one trace, one bill.
Connect your own databases, vector stores, document buckets, and internal APIs as first-class stages. Data stays where it is; the agent reaches it through a connector you control.
The platform decides what runs where and when: batching model calls that can wait, prioritizing the ones that cannot, retrying failed stages, and fanning out parallel branches across capacity as it becomes available.
Repeated context is cached, cheap models are tried before expensive ones where your policy allows, and idle agents scale to zero. You add capabilities; the runtime keeps the cost curve flat.
Point NiNI Cloud at the agent you have today. Each model call, tool, search, and custom function becomes a stage in a graph.
Attach the data sources the agent needs: your documents, your database, your search index. They become stages the graph can call.
Tell the runtime what matters for this agent: latency ceiling, cost ceiling, which models it may use, what needs human approval.
Traffic arrives, the scheduler places every stage, and capacity grows and shrinks with load. You watch the trace and add the next capability.
run 8f3a · research-agent · 4 branches ◆ plan nicrron/auto 1.2s · 0.9k tok ◆ search ×4 web parallel · 0.8s ◆ read ×4 gpt-5-mini batched · 2.1s ◆ lookup your-postgres connector · 40ms ◆ synthesize claude-sonnet 3.4s · 6.2k tok ◆ verify fn:check_citations 12ms stages 11 · wall 7.5s · cost $0.031 idle → scaled to zero
Model stages, a web search, a database lookup, and a plain function in one graph. Parallel branches fan out, batched calls share capacity, and the run costs nothing once it is idle.
Agents that search, read, cross-check, and write — dozens of model calls and searches per task, run in parallel and merged.
A planner delegating to specialists, each with its own model and tools, coordinated as one graph with shared state.
Support and knowledge agents that ground every answer in your own data through connected sources and rerankers.
Long-running loops like Ninoo — edit, run, test, repeat — kept warm while active and paused at zero cost while waiting.
NiNI Cloud is designed to plug into the account, catalog, and ledger you already have.
Planned from day one: NiNI Cloud usage draws from the same Nicrron credit balance as the API, Ninoo Code, and Ninoo Builder.
Model stages route through the Nicrron gateway, so any of its 65+ models — and routing modes like nicrron/auto — are available to your agents.
Every stage of every run is traced and costed in the same dashboard where your API calls already appear.
Prompts and completions flowing through model stages are not retained by the gateway. Your connected data never leaves the connector you configured.
Not yet. It is in development at NiNI Labs and taking waitlist signups. Design partners get early access and a direct line to the team building it.
The goal is any pipeline you can express as stages: hand-written orchestration code first, with adapters for the popular agent frameworks to follow. If you have a specific framework in mind, mention it when you join the waitlist.
The intent is pay-as-you-go from the shared Nicrron balance: model stages at the same per-token rates as the gateway, plus compute time for non-model stages while they run. No subscription and nothing charged while an agent is idle. Final pricing will be published at launch.
With you. Data sources are connected, not copied. Model stages route through the Nicrron gateway, which does not retain prompts or completions.
The API gives you one model call at a time. NiNI Cloud runs the whole agent — every call, tool, search, and branch — with scheduling, retries, state, and scaling handled for you.
Tell us what you are running today and what it costs you to keep it running. Design partners shape what ships.
Join the waitlist