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Argonos Argonos

Argonos Operational AI Platform

Built for your people and agents doing the work that matters.

The Argonos platform reaches the systems of record most Enterprise AI never touches: grounding every answer in evidence, governing every action through a single control plane, all running on infrastructure and models you choose.

Proven in the field

Customer prooffor critical missions

Sources: Forrester Consulting, The Total Economic Impact™ of ChapsVision Sinequa AI-Powered Search (2026) ; CIMdata, AI-Powered Search for Engineering and Design Teams ; ChapsVision, The State of Enterprise Agentic AI in 2026.

cummins

Argonos transforms how our teams discover and connect information; it’s the foundation for smarter, faster engineering.

Oliver Scott Beard Principal Technical Architect – AI Systems
250 hrs

Saved per user, per year

15%

Faster time to market

5×

Improvement in engineering answer quality

18%

Reduction on compliance costs

20%

Reduction in rework

The agentic layer

One place for your people and agents to find, decide, and act.

Your people and your agents work in the same place, with the right context, under the same controls, on a foundation that’s grounded, governed, and yours.

Argonos Workplace

A single home for teams to find and access knowledge, build agents, and access apps and workflows.

Argonos Agents

Build and manage AI agents that automate work across your systems of record, with every action governed.

Agents

Argonos Factory

Build apps and workflows for the agentic era – configured for your operations & delivered to where your people work.

Argonos Agentic layer diagram

The knowledge & data layer

Your knowledge, not just your documents.

The knowledge behind a decision that carries real-world consequences lives in more than just office documents. It sits in your systems of record: decades of structure, terminology, and relationships no general-purpose AI can reach.

Sinequa by Argonos

Retrieves and interprets the right context across your enterprise data. Two decades of knowledge engineering, beyond simple keyword search.

Sinequa

Argonos Ontologies

Model how your business is structured: your parts, your programs, your terminology, your relationships.

Ontologies

Argonos Data Preparation

Clean, transform and enrich your data no matter the state: inconsistent part numbering, fragmented clinical records, siloed financial data, all your multimodal records.

Data Preparation

Argonos Exploration

Explore your data visually. Understand it instantly. Query, correlate, and visualize enterprise data in plain language to uncover insights faster.

Exploration
Argonos Context layer diagram

The connectors

Connect what runs your organization

The context required for your most important work lives across systems most AI can’t reach. Prebuilt connectors reach into the operational systems where your work lives.

Connect all of your systems

200+ connectors across your operational systems of record, technical repositories, business management systems, and productivity tools alike.

Built for your critical work

Technical data, test archives, scanned drawings, decades of legacy formats, as well as the plaintext and metadata from your office documents too.

One foundation across your data

Your proprietary data from your systems of record, applications and field telemetry, unified into one foundation your teams and agents use.

Inherit existing permissions

Permissions are captured as your data is connected, not reconstructed afterwards – so nothing enters the foundation ungoverned.

Argonos Connectors layer diagram

The governance layer

Control Tower: every access and action governed by your rules

A single control tower runs through every layer, ensuring compliance from the moment data is connected to the moment a person or an agent acts on it.

Permissioned access

Every user and agent inherits the permissions already applied across your systems via RBAC or ABAC

Policy management

Govern what humans and agents can and cannot do, defined and enforced at the system level, not left to a model.

Audit & traceability

Every action traceable and explainable, with reasoning shown.

Cost & model management

View and control usage, spend, and which model is allowed on which workload, all accountable to your organization.

Argonos Control layer diagram

Trust & sovereignty

Your AI, controlled by you

Your most critical data and your most consequential decisions can’t depend on someone else’s cloud, model choice, or engineers.

Deploy where you decide

Fully managed or on your cloud, in data center, or on-prem if you need it. Your data never leaves your control.

Choose your models

Evaluate and route to the models you trust; swap them for different workloads based on performance or cost – no model vendor lock in.

Connect to what runs your org

Easily connect and integrate the systems you already operate, with your proprietary data on your terms and rules.

Configure it for your needs

Configurable and explainable for your needs, not a black box.

last build platfrom

Most AI is built for the tasks around the work. Operational Agentic AI is built for the work itself.

Generic AI

What does it know?

World knowledge, no business context

What is it allowed to do?

Minimal output and data controls

Who controls it?

SaaS-hosted, limited model control

Right fit for

Answers are disposable

Examples

ChatGPT, Gemini

Productivity AI

What does it know?

Office and collaboration content

What is it allowed to do?

One-size permissions, limited governance

Who controls it?

Tied to one vendor’s stack

Right fit for

Being wrong is recoverable

Examples

Copilot, Glean

Argonos

Operational agentic AI

What does it know?

Your enterprise knowledge: operation records, engineering, quality, finance, and investigation

What is it allowed to do?

Permissions and policy enforced per access and action

Who controls it?

Your infrastructure, your AI models, your keys

Right fit for

Being wrong is catastrophic

Examples

Argonos

See it on your own systems.

A working session with your operations, engineering, quality and IT teams to map one high-consequence workflow, and define a proof of value on your own data.