CNTXT is an enterprise AI platform focused on making AI initiatives practical, secure, and scalable through pixel-perfect data and streamlined AI app deployment. The platform emphasizes augmenting human intelligence with data-driven, end-to-end tooling that supports data preparation, labeling, model evaluation, and operational deployment for complex AI systems.
Overview
CNTXT provides end-to-end data services and AI tooling designed for enterprises, government agencies, and large teams. The platform combines on-demand data labeling, advanced data workflows, model evaluation, and governance features to help organizations build, test, and ship AI solutions quickly and safely. It highlights enterprise-grade security, data sovereignty, and seamless integration with modern AI models.
What It Helps You Do
- Produce pixel-perfect data on demand to train and fine-tune AI models
- Build, apply, and ship AI solutions tailored to your operational needs
- Track metrics, cost, latency, and model accuracy across the AI lifecycle
- Evaluate and compare prompts and models to identify the most effective solutions
- Automate data labeling and integrate external models into your ML pipeline
- Ensure data privacy, governance, and compliance with SOC 2 Type II certification
Core Capabilities
- Pixel-Perfect Data: On-demand, high-quality data tailored for your AI needs
- Data Labeling Kitchen: Efficient labeling workflows (audio, 3D text, image mapping) to accelerate AI readiness
- AI Workflows Made Simple: Drag-and-drop orchestration with conditional routing and trigger actions
- On-Demand Data Labeling: Expert-driven labeling support at scale
- Model Integration: Access to the latest LLMs (GPT, Claude, Gemini) with region-specific processing options
- Evaluation & Benchmarking: End-to-end evaluation, prompt comparison, and performance insights
- Multi-Agent Evaluation: Test and compare multiple agents simultaneously for broader coverage
- End-to-End AI Deployment: From model selection to data preparation to launch
- Data Sovereignty & Security: End-to-end encryption, SOC 2 Type II, granular permissions, and region-specific processing
- Governance & Compliance: Transparent model usage, data ownership, and policy controls
- User-Friendly AI App Builder: Simple tools to build AI apps quickly with GenAI technology
How It Works
- Define your data and labeling requirements for AI training or evaluation.
- Use labeled data, audio, 3D text, and image mapping capabilities to prepare high-quality datasets.
- Build AI apps with drag-and-drop workflows and integrate external models as needed.
- Run evaluations, compare model/performance metrics, and iterate to optimize results.
- Deploy and monitor AI apps with dashboards tracking token usage, cost, latency, and accuracy.
Security & Compliance
- Enterprise-grade security and compliance
- End-to-end encryption for data in transit and at rest
- SOC 2 Type II certified
- Data sovereignty and region-specific processing options
- Granular permissions and strict access controls
Core Benefits
- Accelerated AI readiness with reliable, labeled data
- Clear visibility into model performance and cost
- Safe, auditable deployment with strong governance
- Flexible, scalable tooling for large organizations
What Customers Say
CNTXT positions itself as a comprehensive data services platform that supports the full AI lifecycle, from data labeling to deployment, with a focus on security, governance, and enterprise-scale capabilities.
About CNTXT
CNTXT is dedicated to making AI accessible and effective by enabling enterprises to build, evaluate, and deploy AI solutions with confidence. The platform emphasizes practical data workflows, secure infrastructure, and measurable outcomes for AI initiatives.
How to Get Access
- On-demand data labeling and AI workflow tools
- End-to-end evaluation and deployment features
- Enterprise-grade security and governance
- Region-specific processing and data ownership controls
Quick Start
- Book a demo to discuss your data and AI goals
- Explore the labeling kitchen and workflow builder
- Set up evaluations to benchmark models and prompts
- Deploy AI apps with governance and monitoring in place