Shared work surface
Workspace gives teams and agents a shared environment for drafting, reviewing, and acting on documents, spreadsheets, decks, kanbans, and file viewers.
Context est une plateforme d’agents IA d’entreprise pour créer, déployer et améliorer des agents sur l’infrastructure client, avec espace de travail, runtime, contexte, évaluation, connecteurs et contrôle d’accès basé sur l’IdP.
Context is a platform for building, deploying, and improving AI agents in enterprise settings. The site frames it as a unified foundation made up of Workspace, Engine, Unify, and Evals, with the shared goal of putting agents into production on customer infrastructure.
Across the product pages, Context emphasizes controlled execution, institutional context, and evaluation loops. Agents can work with a customer’s identity provider, use permissioned connectors, and ground their outputs in procedures, prior work, and expert corrections that are stored for future runs.
Workspace gives teams and agents a shared environment for drafting, reviewing, and acting on documents, spreadsheets, decks, kanbans, and file viewers.
Engine provides identity, tools, compute, and permissions on customer infrastructure, with per-session sandboxes and authorization before each action.
Unify turns procedures, prior work, and expert corrections into a .context filesystem and context graph that agents traverse during future runs.
Evals uses rubrics and golden sets to validate runbooks, models, and context changes before they ship, so regressions can be caught automatically.
The platform exposes 800+ permissioned connectors and attaches credentials through the gateway instead of placing them inside the sandbox.
The site says the platform supports hosted, VPC, on-prem, and air-gapped deployments, including an on-prem appliance.
Use Workspace when analysts or operators need to draft and review work products alongside agents, such as account reviews, memos, spreadsheets, and file-based research.
Use Engine when you need an agent runtime that respects enterprise identity, scoped tools, and explicit approvals before sensitive actions are taken.
Use Unify when you want firm procedures, expert corrections, and prior work to accumulate into a reusable context layer that improves future runs.
Use Evals when you need rubrics and golden sets to check whether model, runbook, or context changes preserve output quality over time.
Use the platform in regulated or isolated environments when hosted, VPC, on-prem, or air-gapped deployment options are required.
Context is positioned as a unified platform for building, deploying, and improving AI agents. The source pages describe Workspace, Engine, Unify, and Evals as the main modules in that platform.
The site describes a production environment that can run hosted, in your VPC, on-prem, or air-gapped. It is built for teams that need agents to work across internal systems with permissions, audit logs, and controlled tooling.
The source does not show self-serve pricing on the pricing page. The pricing URL returns a page-not-found screen, and the site repeatedly uses a book-a-demo or talk-to-us flow.
Context supports any model or agent framework on the platform, including Claude, GPT, Gemini, Kimi, and open weights, according to the homepage.
The product pages say agents authenticate through the customer’s IdP and inherit the invoking user’s permissions, with actions authorized before they touch data.
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