Cols AI

Cols AI is a enterprise-focused AI platform designed to help organizations build, customize, and deploy AI models using their own data. The platform emphasizes data integration, foundation model compatibility, fine-tuning, and reinforcement learning from human feedback (RLHF) to create sustainable AI programs tailored to business needs. It enables seamless ingestion of enterprise data, supports interaction with all major foundation models, and provides tools to unlock the value of AI across the organization.

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How It Works

1. Get Started / Book a Demo

• Explore how Cols AI can fit your data and model strategy. Schedule a demonstration or start with a guided setup.

1. Integrate Your Data Sources

• Connect enterprise data systems and data lakes to the Cols Data Engine to centralize and harmonize data for model training and inference.

1. Fine-Tune and RLHF

• Fine-tune best-in-class foundation models on your domain data and apply RLHF to align outputs with business goals and governance requirements.

1. Deploy and Monitor

• Deploy customized models into production with monitoring, governance, and ongoing data refresh capabilities.

Cols AI is powered by the Cols Data Engine and Cols GenAI Platform to help you extract maximum value from your data while maintaining enterprise-grade security and control.

Core Capabilities

• Data integration: Connect, ingest, and harmonize data from multiple enterprise sources
• Foundation model compatibility: Works with all major foundation models
• Fine-tuning: customize models on your own data for domain-specific performance
• RLHF: improve model behavior with human feedback to meet business objectives
• Governance and security: enterprise-grade controls, privacy, and compliance options
• Deploy and scale: production-ready deployment with monitoring and lifecycle management
• Templates and playbooks: ready-to-use configurations for common business use cases
• Demo-driven onboarding: guided setup to accelerate value realization

Use Cases

• Customer support automation with domain-specific knowledge
• Compliance and risk management with accurate document understanding
• Intelligent data assistants for internal knowledge bases
• Custom analytics and forecast models trained on proprietary data

How It Works

• Connect data sources via Cols Data Engine
• Train or tune foundation models with enterprise data
• Apply RLHF to align outputs with corporate policies
• Deploy models to production with governance and monitoring

Safety and Compliance Considerations

• Ensure data privacy and access control when training models on sensitive information
• Establish governance policies for model usage and data retention

• All-major foundation model compatibility
• Seamless integration of enterprise data sources
• Fine-tuning on domain-specific data
• RLHF to align models with business goals
• End-to-end model deployment and monitoring
• Governance, security, and compliance controls
• Guided onboarding with demo and setup support
• Scalable architecture for large enterprises
• Centralized data engine to power AI initiatives

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Key Benefits

• Accelerate AI initiatives with data-centric foundations
• Preserve data sovereignty and control over models
• Reduce time-to-value through guided onboarding and templates
• Maintain governance and compliance across all AI workloads