Context
UnknownBuild, deploy, and improve production AI agents on a unified enterprise platform.
工具信息
什么是 Context？
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.
核心功能
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.
使用场景
- #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.
定价方案
No pricing model, plans, or cost details are provided on the official homepage.
替代工具
常见问题
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Context 联系方式与社交媒体
- 地址55 2nd St., Suite 1925, San Francisco, CA, 94105, US
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