Temporal Context
Provide models with structured awareness of elapsed time, ordering, deadlines, and the evolving state of a process rather than leaving time implicit in the prompt.
Temporal reasoning infrastructure for agentic systems
Give AI agents a working model of time.
Admaria Time Co builds infrastructure for AI systems that need to understand not just what is true now, but what changes as time moves forward.
The Admaria Time Engine (ATE) is a temporal reasoning plugin for your AI agents. It gives models a structured way to understand temporality, trace side-effects, and account for the consequences of time passing within a system, including sequence, delay, expiry, dependency, and state change.
Plugin-Ready
Built to slot directly into agent workflows as a tool.
Time-Aware
Models temporal consequences instead of isolated prompts.
System-Aware
Captures the side-effects of time passing within a system.
The Admaria Time Engine
Consequence Modeling
Help agents reason about what changes when time passes, which states expire, and what follow-on effects emerge across connected actions inside the host system.
Plugin Integration
Add temporal intelligence through a plugin-oriented tool that gives AI agents direct access to time-aware reasoning inside the environments they act within.
Integration Patterns
MCP Tool Server
Expose ATE as a tool via the Model Context Protocol. The model decides when temporal reasoning is needed and calls it directly during its reasoning loop — compatible with any MCP-enabled host.
Agent Framework Plugin
Integrate at the orchestration layer — LangChain, CrewAI, AutoGen and others. The framework controls when temporal context is injected into the agent loop, giving developers fine-grained control.
Context Enrichment
Run ATE as middleware that annotates prompts with temporal state — elapsed time, upcoming deadlines, expired states — before they reach the model. Simpler to adopt, no tool-calling required.
Standalone API / SDK
Call ATE directly from application code via a REST API or lightweight library. The most flexible pattern — wire temporal reasoning into any workflow on your own terms.
Get ahead of time
Join the mailing list to get updates on the Admaria Time Engine as we build towards beta.
Company
About
Admaria Time Co builds temporal reasoning infrastructure for AI systems. We believe that for agents to act reliably in the real world, they need a structured understanding of how time shapes the systems they operate in.
Our Approach
We focus on the layer between AI models and the environments they act within — giving agents the tools to reason about sequence, delay, expiry, and state change as first-class concepts.
Get in Touch
Admaria Time Co is currently in early development. Beta signup will be available soon. Please join the mailing list for updates, or reach out directly at hello@admaria.co.
Think you can help us build? Drop us a line.
Investors
Seed Round
Admaria Time Co is raising a seed round to accelerate development of our Time Engine. We're in active conversations with investors who understand the infrastructure layer for agentic AI. If that's you, we'd welcome the conversation.
Get in touch