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Context

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Build, deploy, and improve production AI agents on a unified enterprise platform.

ウェブサイト:https://www.context.ai/
追加日:2026年7月13日
月間訪問者数:
60.6K
ソーシャルと電子メール:
AI agentsEnterprise AIAgent platformContext graphAI evaluationMulti-model AI

ツール情報

Contextとは何ですか?

Context is an enterprise platform that enables organizations to build, deploy, and continuously improve robust AI agents in production. It provides a unified foundation combining a collaborative workspace, execution engine, shared context graph, and evaluation system that runs on the customer's stack.

コア機能

  • Workspace

    Plain-English workflows that anyone can author, providing the same surface for teams and agents with full audit on every run.

  • Engine

    Execution layer with identity inherited from the organization's IdP at every action, 800+ connectors to team tools, and deployment options including hosted, customer VPC, on-prem, or air-gapped.

  • Unify (context graph)

    Makes the firm's knowledge available to every agent; agents capture what they learn for subsequent runs while permissions follow each user's grants.

  • Evals

    Rubrics ensure agent quality at every run; accepted outputs become reusable standards and routing improves automatically as the library grows.

  • Multi-model and agent support

    Supports Claude, GPT, Gemini, Kimi, open weights, or custom models; allows bringing your own agent framework or using the platform's.

  • Enterprise-grade authorization

    Identity through the organization's IdP, customer-managed keys, audit on every action, and permissions inherited at every connector call.

  • Custom models and step-level routing

    Custom models trained on the organization's work with step-level model routing and evals that gate every change for continuous improvement.

  • Complete working environment

    Integrated environment supporting chat, drive, skills, applets, scheduled tasks, kanban, evals, and management for production agent work.

使用例

  • #1

    Semiconductor AI agent optimization

    Improving agent accuracy in production workflows, as demonstrated by Qualcomm raising accuracy from 23% to 98%.

  • #2

    Financial services diligence and risk analysis

    Drafting diligence memos, analyzing risk signals, growth opportunities, and account health reviews from financials, tickets, and calls.

  • #3

    Business operations and monitoring

    Automated tasks such as factor decay triage, vendor schema drift watching, EOD reconciliation, and scheduled model retraining.

  • #4

    Cross-industry agent platforms

    Supporting agent use cases across semiconductors, financial services, consulting, telecom, public sector, industrials, business operations, insurance BPO, and legal.

以下に最適:Enterprise AI and engineering teamsFinancial services organizationsSemiconductor companiesConsulting firmsTelecom operatorsPublic sector organizationsIndustrial companiesInsurance BPO providersLegal teams

料金プラン

No pricing model, plans, or cost details are provided on the official homepage.

代替案

よくある質問

What is Context?
Context is an enterprise platform for building, deploying, and improving production AI agents through a unified set of tools that includes a workspace, engine, context graph, and evaluation system running on the customer's stack.
What are the main features of Context?
Core features include a plain-English Workspace for workflows with full audit, an Engine with identity inheritance and 800+ connectors plus flexible deployment options, Unify for a shared context graph, Evals with rubrics for quality, multi-model and agent framework support, enterprise-grade authorization, custom models with step-level routing, and a complete working environment for production agent work.
Who is Context designed for?
Context is designed for enterprise AI and engineering teams as well as organizations in financial services, semiconductors, consulting, telecom, public sector, industrials, insurance BPO, and legal.
Where can Context be deployed?
Context supports deployment as hosted cloud, in a customer VPC, on-premises, or air-gapped, along with a web workspace.
Which AI models does Context support?
Context supports Claude, GPT, Gemini, Kimi, open weights, or custom models, and allows bringing your own agent framework or using the platform's.
Is pricing information available for Context?
No pricing model, plans, or cost details are clearly published by the official source.
How does Context handle security and authorization?
Context provides enterprise-grade authorization with identity through the organization's IdP, customer-managed keys, audit on every action, and permissions inherited at every connector call.

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料金モデルUnknown
カテゴリ生産性向上
タグ
AI agentsEnterprise AIAgent platformContext graphAI evaluationMulti-model AI
言語英語
最終更新日2026年7月16日