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  • Agent Orchestration System

    Building agents is easy. Operating should be too.

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    Turn your backlog into review-ready code

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    Browse, run, and share agents

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    Policy enforced at the moment of action

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Featured

Choosing a model is an operations decision, not a benchmark decision

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    Know what agents cost. Prove what they deliver.

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    Turn AI adoption into business transformation

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Support triage is the best first agent most teams never build

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    How will AI change the way we work?

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The future of work debate has an evidence problem
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Yaju AS
Sign in
Book demo

Platform

  • Agent Orchestration System

    Building agents is easy. Operating should be too.

  • Software Factory

    Turn your backlog into review-ready code

  • Agent Hub

    Browse, run, and share agents


Functionalities

  • AI Governance

    Policy enforced at the moment of action

  • AI Observability

    Observe and trust every agent

  • Token Monitoring

    Make every token count

  • Optimizer

    Same outcomes, lower cost

  • AI Spend Explorer

    Find overspend in two minutes


Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions


Featured

Choosing a model is an operations decision, not a benchmark decision

Use Cases

  • Cost Control

    Know what agents cost. Prove what they deliver.

  • AI Transformation

    Turn AI adoption into business transformation


Deployment

  • Credential Vault

    Org-level secrets, resolved at runtime

  • Self-hosted

    Run agents in your own environment


By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing


Featured

Running agents on hardware you own

Discover

  • Customer Stories

  • Partners

  • Yaju Labs

    Yaju Agent Systems research lab


For Learners

  • Versions

  • Agent Academy


Featured

Support triage is the best first agent most teams never build

Content

  • Blog

    The latest from Yaju, launches, and insights


Explorations

  • Future(s) of Work

    How will AI change the way we work?

  • Oran Models

    The generation teams run today


Initiatives

  • Scholars Program

    Finding the next generation of agent builders

  • Open Development Community

    Building agent tooling in the open

  • Catalyst Grants

    Backing ambitious work on agents


Featured

The future of work debate has an evidence problem
  • About

  • Careers

  • Newsroom

Yaju AS
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Yaju AS ©2026

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Category

Research

Questions we are still working on, and what the evidence says so far.

6 articles

Research

Mapping the agentic task ecosystem

Before you can say anything useful about what agents do to work, you need a map of what agents are actually connected to. We built one, and the shape of it was not what we expected.

Yaju Team · 16 February 2026

Future of work

The early footprint of automations, measured rather than predicted

We looked at what happened in the first ninety days after teams switched on their first automations. The pattern was consistent enough to be worth writing down, and unflattering enough that most vendors would not.

Yaju Team · 12 January 2026

Models

When a bigger model is the wrong answer

The reflex when an agent underperforms is to reach for more capability. Sometimes that is right. More often the failure is somewhere the model cannot reach, and upgrading simply makes the same mistake more expensively.

Yaju Team · 2 April 2026

Models

Oran in the wild, and what surprised us

We built each version of Oran against an assumption about what teams would do with it. Some of those assumptions held. Three did not, and the gaps between what we expected and what happened are the more useful thing to write down.

Yaju Team · 5 September 2026

Future of work

The future of work debate has an evidence problem

Almost every claim about agents replacing jobs rests on estimates of what a task is, produced before anyone had watched an agent attempt one. The estimates are not dishonest. They are just measuring something other than what is happening.

Yaju Team · 21 April 2026

Research

An agent can only be as good as what your corpus left out

Retrieval quality is usually treated as a ranking problem. A large share of the failures we investigate turn out to be absence problems: the answer was never written down, or was written down somewhere the index never reached.

Yaju Team · 24 June 2026

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Research | Yaju Blog