goML Logo

goML

Build Custom GenAI Applications Faster with LLM Boilerplates & Expert Services

Contact for Pricing
Screenshot of goML

Description

goML specializes in providing comprehensive Generative AI solutions tailored for business needs. Their services encompass expert GenAI consulting, designed to help organizations identify high-impact use cases and formulate long-term AI adoption strategies through structured workshops. They focus on enabling businesses to understand and leverage the potential of generative models effectively.

A core offering is accelerated Generative AI application development, utilizing proprietary LLM Boilerplates. These pre-built components allow for significantly faster deployment times, reducing development cycles from months to weeks for applications like customer support chatbots, data analytics tools, and content generation systems. goML also provides LLMOps services to manage AI workloads in production, ensuring model accuracy, observability, cost-efficiency, and continuous performance through SLA-based monitoring and dedicated support PODs.

Key Features

  • LLM Boilerplates: Accelerate GenAI app development by up to 80% using 12+ pre-built templates.
  • GenAI Consulting: Identify use cases and define AI strategy through expert workshops (8-hour use case identification, 2-day strategy & enablement).
  • Custom GenAI App Development: Build production-ready AI applications, including Pilots in 8 weeks or POCs in 4 weeks.
  • LLMOps Services: Manage production GenAI workloads with SLA-based monitoring, observability, cost management, and deployable PODs.
  • Multi-Model Expertise: Develops solutions using diverse models like ChatGPT, LLaMA, Claude, Stable Diffusion, and Mistral.
  • Strong Partner Network: Leverages partnerships with AWS, Azure, Weaviate, Pinecone, MongoDB.
  • AWS GenAI Competency Partner: Recognized as a launch partner for AWS GenAI Competency.
  • Dedicated Innovation POD: Offers dedicated teams for technology experimentation and innovation.

Use Cases

  • Building Customer Support Chatbots
  • Developing NLP-powered Data Analytics solutions
  • Creating Content Generation & Summarization tools
  • Deploying AI Agents for specific user groups (e.g., founders, LPs)
  • Implementing Conversational Chat Agents
  • Building AI-Powered Meeting Assistants
  • Developing AI-Powered Workplace Communication tools
  • Optimizing Business Processes with AI

You Might Also Like