goML

About goML

goML key features

• **AI Matic Platform**: An in-house developer platform with six industry blueprints for rapid AI systems implementation.
• **Ninja FDEs**: Specialized Forward Deployed Engineers trained to customize and deploy AI systems efficiently.
• **Blueprint-Based Delivery**: 82% of proof of concepts (POCs) transition to production using proven AI Matic Blueprints.
• **Rapid Implementation**: Average delivery time of 63 days for AI systems, significantly faster than traditional IT service deliveries.
• **Diverse Solutions**: Offers a range of AI applications including content generation, data analytics, conversational agents, and agentic workflows across various industries.

goML use cases

• Development of AI systems for healthcare, finance, manufacturing, telecom, and energy sectors using industry-specific blueprints.
• Implementation of conversational agents for customer support and automation of complex business processes.
• Real-time data analytics and insights generation for improved decision-making in organizations.
• Rapid development and deployment of AI pilots and production builds, significantly reducing time to market.
• Migration of AI workloads to Amazon Bedrock for scalable AI solutions.

Useful for

• Provides AI systems implementation through the Anti Legacy Playbook, ensuring rapid delivery and production readiness.
• Offers AI Matic, an internal developer platform with industry blueprints for efficient AI system development.
• Facilitates funding opportunities for AI pilots and production builds in collaboration with AWS.
• Delivers specialized AI solutions across various sectors, including healthcare, finance, and manufacturing.
• Supports organizations with real-time data analytics, content generation, and automation of complex business processes.

Price

• **AI Matic Platform**: Offers six industry blueprints for rapid implementation of production-ready AI systems.
• **Ninja FDEs**: Specialized teams that ensure quick deployment and customization of AI solutions, with an average delivery time of 63 days.
• **AI Systems Implementation Stages**: Includes a 1-day consulting session, 4-day rapid POC development, 4-month product development, and continuous monitoring.
• **High Success Rate**: 82% of proof-of-concepts (POCs) transition to production, significantly higher than the industry average.
• **Funding Opportunities**: Collaborations with AWS to provide funding for AI pilots and production builds.