The Contextual AI Platform
Accelerate agent development with best-in-class context engineering tools and models unified in one enterprise-ready platform.
Deliver production-grade AI agents in three simple steps
Step 1
Ingest and extract from large knowledge bases
Continually process massive volumes of enterprise data from any source—transforming unstructured documents, databases, and media into rich, retrievable information

Step 2
Define and configure agents
Work with best-in-class models and retrieval components out of the box to build specialized agents tailored to your specific use cases
Step 3
Operate and enhance production agents
Deploy agents users trust and organizations can evaluate and improve, with performance that scales reliably across enterprise document volumes and user bases
APIs
Powerful APIs for the entire development lifecycle
# Create an agent
import os
from contextual import ContextualAI
client = ContextualAI(
api_key=os.environ.get("CONTEXTUAL_API_KEY"),
)
create_agent_output = client.agents.create(
name="agent_name",
)
print(create_agent_output.id)
Integrate
Intergrate your existing SDKs
Python
TypeScript
JavaScript
Meet robust enterprise security requirements
Deploy to production safely and confidently with a comprehensive suite of enterprise-grade security features
SOC 2 compliance
SOC 2 Type 2 certified to ensure enterprise data is properly secured and protected
HIPAA Compliance
HIPAA compliant to safeguard protected health information (PHI) and ensure privacy and security standards are fully met.
Flexible deployment options
Choose between multi-tenant SaaS, dedicated cloud instances, or private VPC deployment on your preferred cloud platform
Query time entitlements
Role-based access controls to ensure responses are only grounded in data that is accessible to the user
End to end encryption
In-transit and at-rest encryption to protect sensitive data
Guardrails for safety & compliance
Protections to ensure output is safe, accurate, appropriate, and aligned with customer brand and content guidelines
Built for Qualcomm Scale
"Contextual Al has been an invaluable partner in our Al journey. Their expertise is not only accelerating our progress, but also driving meaningful impact across our internal teams and significantly enhancing our customers' experience. We see immense potential in expanding our collaboration beyond Customer Engineering. While our initial use case has shown great promise, there are numerous other business units that stand to benefit from the comprehensive, end-to-end Al platform that Contextual Al has built."
Yogi Chiniga - Vice President of Engineering, Qualcomm Technologies

AI that understands your business
Build smarter, context-aware AI, that understands your data, workflows, and edge cases.