AI TEAMS
Your AI app waits. The agentic era moves on without it.
A signal lands. Your app waits for a user to click. By then a competitor's AI has already acted. Your demo wows. Your production stalls.
npayload is what turns an AI demo into an agent that ships. Primus runs the brain. Pipes runs the workflow. Events delivers the signals. Memory, guardrails, audit included. Your model is one ingredient. npayload is the kitchen.
WHAT AI TEAMS LIVE EVERY WEEK
Six gaps between your demo and your production agent.
Every team building agents hits the same wall. The model works. The system around it does not.
Your apps
right now
Memory across sessions
The agent forgets between calls
Guardrails on actions
Your policy is a comment, not a check
Audit for the regulator
You cannot replay yesterday's decisions
Multi step coordination
Hard problems need a team, not one agent
Model swap without rewrite
Next model drops, your stack breaks
Cost when scale arrives
Inference cost on every request
Every gap is a reason your beautiful demo is not running in production yet.
WHICH NPAYLOAD WEDGES
Three wedges. Your demo becomes production.
AI teams plug Primus as the brain, Pipes for the workflow, Events for the signals that feed the agent.
Primus
Memory, skills, guardrails, team coordination. The system around your model that turns it from a call into a system.
See PrimusPipes
an AI brain at every step of your workflow. Replay every decision with the model, data, and rules that ran.
See PipesEvents
The signals that feed the agent. Live data in, decisions out, every action delivered to the systems that need it.
See EventsONE SIGNAL, ONE DECISION
Your agent reads the signal at noon. The action is recorded by 12:00.0001.
Faster than your model can finish a sentence.
Signal arrives
Events delivers the signal to your Primus agent.
Memory pulled
Hybrid RAG retrieves relevant context from the agent's memory.
Specialists work
Team lead delegates. Each specialist runs in parallel within guardrails.
Decision committed
Reasoning chain, model used, inputs and outputs all on the audit ledger.
Action executed
Events delivers the action to the systems that need it. The agent's job is done.
Three places AI teams plug in first.
Each one a year of platform engineering today. Each one a week on npayload.
Production agent with memory
Primus turns your LLM calls into an agent with memory, skills, guardrails. Demo to production in a week.
AI workflow with replay
Pipes runs an AI brain at every step. Replay any decision for the regulator. Audit your data scientist's notebook in production.
Agent reads, decides, acts
Events feeds the agent. The agent decides. The action goes out. Every step proven.
What AI teams ask before they sign.
The pushback we hear, answered straight.
"We already use an agent framework."
Keep it. Primus is the layer between your framework and production. Memory, guardrails, team coordination, audit. What turns the demo into a shipping product.
"Compliance will not approve AI."
Show them the audit ledger. Every decision recorded with reasoning. Every action gated by guardrails. Every action replayable. Compliance approves what it can prove.
"Inference cost will kill us at scale."
Per step cost tracking in Pipes. Per call routing in Primus. Switch providers without rewriting. Catch the greedy model before it burns budget.
AI team questions.
Your demo wows. Make it ship.
Plug Primus in this week. Run your first production agent decision this afternoon.
Join the waitlist.