Yarnit Platform

The enterprise agentic AI platform behind intelligent systems.

Build, deploy and operate production AI agents with reusable orchestration, context engineering, memory, agents and tools, evaluation, observability and governance.

Core Platform

Everything enterprise agents need around the model.

The model is only one part of a production AI system. Yarnit provides the architecture for orchestration, context, memory, tools and trust.

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YaOS
The enterprise agent operating system for building and orchestrating single- and multi-agent workflows with reusable engineering patterns.
Explore YaOS
Explore YaOS
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Contextual Intelligence
Context engineering, knowledge graphs, retrieval and ranking that give agents the right knowledge, relationships and state for every task.
Explore Contextual Intelligence
Explore Contextual Intelligence
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Memora
Enterprise AI memory that carries persistent knowledge, transient interaction state, decisions and outcomes across workflows and over time.
Explore Memora
Explore Memora
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Agents & Tools
Reusable specialist agents, enterprise connectors and action tools that connect reasoning to business systems and operational work.
Explore Agents & Tools
Explore Agents & Tools
How the platform works

Compose intelligence instead of rebuilding it.

Reusable services and engineering patterns let teams assemble agentic systems around the workflow rather than recreate orchestration, memory, retrieval and controls for every use case.

Build with reusable agent engineering patterns.
Compose agents, workflows, tools and orchestration patterns for single-agent, multi-agent and human-in-the-loop systems.
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Ground agents in enterprise context.
Use context engineering, retrieval, knowledge graphs and Memora to give each agent the right information, relationships and state at the right moment.
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Operate agents with trust and visibility.
Evaluate behavior, observe execution, enforce guardrails and preserve human oversight across production workflows.
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Scale through reusable capabilities.
Turn proven agents, tools, workflows, validation assets and domain patterns into a shared enterprise AI capability instead of isolated projects.
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Platform Principles

Built for production, not just experimentation.

Enterprise agentic AI needs more than prompts and model access.

Context is engineered.
Knowledge, relationships, memory and tool outputs are assembled deliberately around the task rather than treated as an undifferentiated prompt.
Agents are composable.
Specialist agents, tools and orchestration patterns can be reused across products, industries and enterprise workflows.
Models remain replaceable.
The platform separates enterprise intelligence and workflow logic from any single model provider or generation of models.
Trust is built in.
Evaluation, observability, security, human oversight and controlled execution are platform concerns, not afterthoughts.
Governance & AgentOps

Govern agents where they act.

Yarnit brings evaluation, validation, observability and human controls into the runtime so enterprise teams can understand what agents are doing, measure how they perform and control how they act.

Evaluation & Validation
Test agent behavior, workflow completion, tool use and output quality against defined criteria and representative scenarios.
Guardrails & Human Oversight
Apply policies, review gates and approval paths around sensitive decisions and high-impact actions.
Observability & AgentOps
Trace workflows, agent actions, tool calls, latency, failures and operational behavior in production.
Security & Enterprise Controls
Respect identity, permissions, data boundaries and deployment controls within the enterprise environment.
Built on the platform

One foundation. Different ways to create value.

The Yarnit Platform connects directly to productized solutions, Forward Deployed AI and industry-specific applications.

AI for Commerce & AI for Marketing

Productized applications built on shared agent, context and memory capabilities.

Forward Deployed AI

Use the same platform to build production AI agents and intelligence systems around proprietary enterprise workflows.

Domain intelligence for complex industries

Apply the platform with the context, data and decision logic specific to Retail & Consumer, Life Sciences and Manufacturing.

Enterprise Applications

Build agents around the work that matters.

The platform supports recurring enterprise patterns without prescribing one application or one industry.

Enterprise Agents

Assistants and specialist agents that reason over enterprise knowledge and act through approved tools.

Multi-Agent Workflows

Coordinated agent systems for planning, analysis, verification and execution across complex processes.

Decision & Intelligence Systems

Grounded AI applications that turn enterprise data and knowledge into recommendations, priorities and decisions.

Conversational BI

Natural-language interaction with governed data, business semantics and analytical workflows.

Knowledge & Context Systems

Knowledge graphs, retrieval, context engineering and memory services for enterprise AI.

Generative Enterprise Applications

Governed generation for content, presentations, reports and knowledge-intensive enterprise outputs.

Yarnit Platform

Build intelligence that doesn't start from zero.

Use the platform behind Yarnit's products and Forward Deployed AI to build, govern and scale enterprise agentic systems.

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