Meant for agentic use and temporal reasoning

Time-series
intelligence
for AI agents

A standardized MCP framework enabling LLMs to reason over temporal signals with precision. Powered by RunnerTau models—specialized for time-series modality.

Try Demo Explore Capabilities

Our Mission

Unifying the fragmented time-series ecosystem under one agentic interface. Transforming how AI systems understand and reason about temporal data—making complex analysis as natural as asking a question.

RunnerTau Native Multi-Modal MCP Compliant Real-Time

Core Capabilities

What TEMPO enables

Just-in-Time Forecasting

Generate predictions on-demand during conversations. No pre-training or model deployment required.

Anomaly Detection

Identify outliers and unusual patterns in real-time. Understand what deviates from expected behavior.

Root-Cause Analysis

Trace anomalies to their origins. Correlate events across signals to understand the "why".

Conversational Summaries

Transform raw signals into natural language insights tailored to your domain and context.

Multi-Modal: Text + Signal

RunnerTau Series

Purpose-built time-series models. Unlike general LLMs, RunnerTau natively understands temporal dependencies, seasonality, and signal dynamics.

Specialized Modality

Multi-Modal Fusion

Combine signals with images, documents, and structured data for context-aware insights.

Signal + Vision + Text

Interactive Demo

Experience TEMPO

TEMPO Assistant
Welcome to TEMPO. Select a scenario above or type your own query about time-series analysis. I can help with forecasting, anomaly detection, signal summarization, and root-cause analysis.

Industries

Built for critical domains

Energy Sector

Grid Intelligence

Monitor load patterns, predict renewable generation, and detect equipment anomalies before they cause outages.

Load Forecasting Solar/Wind Prediction Grid Anomalies

Healthcare

Medical Signal Analysis

From ECG arrhythmia detection to PPG-based vital monitoring. Enable clinical AI agents to reason about physiological signals.

ECG Analysis PPG Monitoring Vital Trends

Finance

Market Intelligence

Detect market anomalies, forecast trends, and analyze trading patterns with temporal reasoning.

Volatility Analysis Regime Detection Risk Metrics

IoT & Manufacturing

Operational Intelligence

Predictive maintenance, quality monitoring, and process optimization for sensor streams.

Predictive Maintenance Quality Control Process Optimization

Developer API

Integrate in minutes

# Install TEMPO core and MCP server
pip install tempo-ts tempo-mcp

# Initialize with RunnerTau models
from tempo import TempoAgent

agent = TempoAgent(
    model="runner-tau-pro",  # or "runner-tau-base"
    backend="auto"
)

Get started with a single pip install. TEMPO works with RunnerTau models or other MCP-compatible LLMs. 

# Conversational forecasting
response = agent.query("""
    What will the server load be next week?
    Show me the 95% confidence interval.
""")

forecast = agent.forecast(
    signal=load_data,
    horizon=168,
    confidence=0.95
)

Forecasts are generated just-in-time during conversations. No pre-training required. 

# Detect anomalies conversationally
anomalies = agent.detect_anomalies(
    signal=ecg_data,
    method="isolation_forest",
    sensitivity="high"
)

for anomaly in anomalies:
    print(f"{anomaly.timestamp}: {anomaly.description}")

Multiple detection methods: statistical thresholds, isolation forests, or deep learning. 

# Multi-modal analysis: signals + images + text
insights = agent.analyze(
    signals=[ecg_signal, ppg_signal],
    documents=[patient_report],
    images=[chest_xray],
    mode="cross_modal"
)

print(insights.correlations)

Combine time-series with images, documents, and structured data for comprehensive analysis. 

# Start MCP server for agentic frameworks
from tempo_mcp import start_server

# Exposes: tempo_forecast, tempo_detect_anomalies,
# tempo_summarize, tempo_query, tempo_multimodal_analyze

start_server(host="localhost", port=8080)

Full MCP compliance means TEMPO works with Claude, GPT, and any agentic framework.