Automate complex multi-step workflows and deploy secure, enterprise-ready AI agents that learn from your experts to transform organizational productivity.
Context is an advanced enterprise AI infrastructure platform designed to move beyond simple chatbots and into functional, task-oriented AI agents. The platform provides a comprehensive suite of tools—including Bedrock, Workspace, Engine, and Evals—to help large-scale organizations build, deploy, and manage AI that performs actual work. By specializing in the orchestration of complex, multi-step processes, Context allows businesses to automate everything from initial data collection to the creation of final deliverables. This approach ensures that the AI adheres strictly to internal business logic and operational constraints, providing a more reliable alternative to general-purpose language models that are limited to conversational interactions. The platform's operational core is built on a "learn and improve" cycle, where AI agents are trained to absorb knowledge from a company's own internal subject matter experts. This ensures that the automated workflows are not only efficient but also contextually accurate and tailored to the specific nuances of the business. Context integrates directly with a variety of existing enterprise software tools, allowing it to bridge departmental silos and execute tasks across different functions autonomously. Key features such as automated provenance and citations are built into the system, ensuring that every piece of generated content is transparent and verifiable, which is critical for maintaining high standards of accountability in professional environments. Context is specifically tailored for industries that manage sensitive information and operate within rigorous regulatory frameworks, such as semiconductors, financial services, legal consulting, and the public sector. It serves multiple internal roles, helping engineering teams automate documentation, product teams evaluate model performance, and business operations managers streamline repetitive administrative tasks. The platform's flexibility is a significant draw for these sectors; it offers several deployment models including fully managed SaaS, dedicated Private Cloud, Virtual Private Cloud (VPC), and even completely air-gapped on-premises installations for organizations that require the highest level of data sovereignty. What distinguishes Context from typical AI service providers is its focus on "real work" and its aggressive implementation timeline. The company follows a structured four-week path from initial discovery and technical auditing to full-scale organizational deployment. This hands-on approach involves a phased rollout starting with high-impact use cases to demonstrate immediate value. With enterprise-grade security protocols like SOC 2 Type II and ISO certifications, as well as CCPA and GDPR compliance, Context provides a secure foundation for companies to scale their AI initiatives without compromising on data integrity or security standards.
Is Context free? No, Context doesn't offer a free plan.
Price varies
Price varies
Price varies
Price varies
Context is an enterprise AI platform designed to create and deploy agents that automate complex, multi-step workflows. Unlike general chatbots, these agents perform real tasks and integrate with your existing business tools to create final deliverables.
Yes, Context offers a fully on-premises deployment option for organizations requiring local models and maximum security. This ensures total data sovereignty by keeping all data within the company's local infrastructure.
Context maintains high security standards with SOC 2 Type II and ISO certifications. It is also CCPA and GDPR compliance ready, providing end-to-end encryption for all data in transit and at rest.
The platform is designed for rapid implementation, moving from discovery to full-scale deployment in under one month. This includes a technical audit in week one and a phased rollout starting by week three.
Yes, the platform is built to learn from your internal experts and business logic. This allows the AI to adapt to your specific organizational constraints and improve its performance over time.
Yes, the platform includes built-in provenance and citations for its deliverables. This allows users to track the source of information and verify the accuracy of the work generated by the AI agents.
The suite includes Bedrock for core infrastructure, Workspace for user interactions, Engine for workflow logic, and Evals for rigorous testing and performance evaluation of AI models.
Benefits:
Massive Impact
Real Technical Challenges
Ownership That Matters
Elite Technical Team
Other Requirements:
Curious and analytical approach
Sharp product intuition
Deep user insight
Agency
Extraordinary Problem-Solving Ability
Responsibilities:
Go onsite to meet knowledge workers
Map institutional intelligence
Partner with Forward Deployed Engineers
Design AI workflows
Present results and proposals
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Benefits:
Massive Impact
Real Technical Challenges
Ownership That Matters
Elite Technical Team
Experience Requirements:
5+ years of enterprise sales experience
Proven track record closing deals >$500K ACV
Experience selling to technical buyers
Strong business acumen
Consultative selling approach
Other Requirements:
Strategic thinking
Deep business acumen
Ability to sell transformational technology
Responsibilities:
Own enterprise pipeline and quota
Build C-suite relationships
Lead discovery and qualification
Orchestrate technical evaluations and pilots
Navigate complex enterprise sales cycles
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