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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

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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

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Running agents on hardware you own

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    Yaju Agent Systems research lab

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Featured

Support triage is the best first agent most teams never build

Content

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    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
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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
  • Agent Orchestration System

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    CLI

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    Token Monitoring

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  • Agent Orchestration System

  • Software Factory

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Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions

Functionalities

  • AI Governance

  • AI Observability

  • Token Monitoring

  • Optimizer

  • AI Spend Explorer

Solutions

  • Cost Control

  • AI Transformation

  • Solutions Overview

By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing

Deployment

  • Credential Vault

  • Self-hosted

  • Deployment Options

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  • Yaju Labs

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  • About

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Legal

  • Legal Center

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Platform

  • Agent Orchestration System

  • Software Factory

  • Agent Hub

Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions

Functionalities

  • AI Governance

  • AI Observability

  • Token Monitoring

  • Optimizer

  • AI Spend Explorer

Solutions

  • Cost Control

  • AI Transformation

  • Solutions Overview

By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing

Deployment

  • Credential Vault

  • Self-hosted

  • Deployment Options

Resources

  • Blog

  • Customer Stories

  • Partners

  • Agent Academy

  • Yaju Labs

Company

  • About

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Legal

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Yaju AS ©2026

  • English

Category

Open Science

Work we do in the open, with the community that does it with us.

5 articles

Research

Agents that work outside English

An agent that performs well in English and adequately elsewhere is not a multilingual agent, it is an English agent with a translation layer and an uneven failure rate. The difference matters most in the places it is hardest to see.

Yaju Team · 12 August 2026

Research

Community research across regions

A research programme run from one city sees the problems of that city. Most of what we have learned about operating agents in difficult conditions came from members working somewhere with different constraints.

Yaju Team · 4 August 2026

Research

Exploring agents in education, carefully

Education is the sector where the gap between what an agent can plausibly do and what it should be allowed to do is widest. That makes it interesting to study and a poor place to move quickly.

Yaju Team · 17 February 2026

Programmes

What we look for in Scholars

The Scholars Program gets more applications than places, and the ones that stand out are rarely the ones with the longest list of credentials. Here is what we are actually reading for.

Yaju Team · 18 August 2026

Engineering

Building a retrieval evaluation set from a public corpus

The hardest part of improving retrieval is not technique, it is having something to measure against. If you cannot yet build an evaluation set from your own documents, building one from a public corpus first is a genuinely useful rehearsal.

Yaju Team · 13 April 2026

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Open Science | Yaju Blog