Run·On · by Sedona

A modular agentic platform for buy-side operations.

Run·On is the orchestration layer for buy-side operations. A fleet of production agents covering data quality, daily ops analysis, reconciliation, troubleshooting, compliance, reporting, and more, each one shaped to your unique company context and knowledge.

Architecture

An orchestration layer that coordinates AI agents to achieve complex tasks.

An AI agent is software that can read your documents, follow your procedures, use your tools, and carry out real work on your behalf. It handles multi-step tasks from start to finish so your team can focus on the decisions that actually need a human.

What makes these agents reliable is context. Run·On grounds every agent in your data, your SOPs, your firm's policies, and the way your teams actually work. So when an agent acts, it reasons through the problem the way your best people would, and produces decisions you can predict and audit.

Context never stays still. New data lands, procedures change, regulations move. Run·On runs the context loop in production: ingest changes, evaluate every agent run, fold the lessons back. The system gets sharper with every cycle.

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Your unique business application stack.

Run·On connects to your unique stack through APIs and MCP, feeding agents the live context they need to operate.

The agent library

A library of agent templates, customized to your firm.

Each template is a production-ready starting point. We adapt it to your stack, your data, your SOPs, and your security requirements. You pay for what you turn on.

I.

Controls

  • 01

    Data Quality

    Daily reconciliation against Bloomberg, Refinitiv, MSCI. Exception detection, data-steward workflows.

  • 04

    Risk & Compliance

    Limit checks, breach detection, mandate compliance against your portfolio universe. Continuous monitoring.

Operating model

From your stack to production in five steps.

One operator now supervises a fleet of agents running in parallel, where the same desk once ran a single process at a time.

  1. 01

    Connect to your data

    MCP adapters and read-only APIs wire agents into your AM stack: Bloomberg, SimCorp, Aladdin, MSCI, your warehouse. System of record stays yours.

  2. 02

    Build context

    Ground agents on your BRDs, SOPs, controls library, and firm-specific conventions. The agent learns how your house actually runs.

  3. 03

    Deploy orchestrator

    The orchestrator dispatches the agent fleet across your stack. Each workflow inherits your firm's controls. Compliance, security, and SOPs are wired in by default, not bolted on.

  4. 04

    Evaluate

    Every run traced, every decision logged. Continuous evals catch drift; replayable runs make audit and improvement boring.

  5. 05

    Run

    Production with human-in-the-loop approval. Daily reconciliations, exception detection, document checks. Done before you sit down.

Reasoning in action

Watch an agent reconcile holdings close prices against Bloomberg in Claude Cowork, in under 3 minutes.

A live trace of a Run·On agent handling a real ops task: SimCorp positions reconciled against Bloomberg close prices for an asset-management portfolio. Notice the multi-step reasoning, the right tool at each turn, the parallel execution, and the audit-ready output.

In this demo, the Run·On agent coworks with Claude. The harness is model-agnostic: any frontier LLM can sit behind it.

HarnessClaudeTools calledBloombergSimCorp
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Task arrives

A natural-language request lands in the workspace: reconcile a portfolio's close prices against Bloomberg. The agent reads the intent and primes its plan.

Original runtime ≈ 3 min · video accelerated for clarity

Talk to the team.

30-minute walkthrough on your stack, your data, your shortlist of workflows. We'll show you what Run·On looks like adapted to your own context, and the brochure goes home with you.

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