Powering Enterprise AI Solutions with LLMs

At Gruve, we leverage advanced Large Language Models (LLMs) to transform enterprise data into intelligent, context-aware solutions powered by AI agents. Whether your focus is finance, operations, legal, or customer service, our tailored solutions integrate seamlessly into your existing enterprise ecosystem.

Services

AI Assistants for Enterprises

We design and implement native or custom AI assistants, powered by LLMs and trained on your internal data. We make sure the AI assistants understand your domain-specific queries and continuously learn from users to enhance their performance. We train your team to enable AI assistants in their day-to-day workflow.

Workflow Automation by AI Agents

Optimize routine and complex tasks using AI agents that streamline processes across various data sources. Our intelligent solutions reduce manual errors and boost productivity by automating workflows.

LLM-Powered Data Visualization

Generate real-time data visualizations using AI models that automatically convert natural language queries into SQL, leveraging LLMs for data analysis without coding or manual errors.

Seamless System Integration

Our AI assistants integrate effortlessly with your existing systems—ERP, CRM, or other platforms—ensuring smooth implementation and immediate benefits.

Case Study

IT Support Transformation for a Leading Healthcare Provider

We helped a prominent healthcare provider with over 8,000 employees overcome significant challenges, including high IT query volumes, repetitive tasks, and staff burnout. By implementing customized AI chatbots that handle 89% of frequent requests, we significantly improved employee experience and ensured 24/7*365 troubleshooting support. We also introduced a smart ticketing system to prioritize complex issues and automated access configuration to enhance data security.

"It significantly strengthened our security posture."

We assisted a public airport by conducting comprehensive vulnerability assessments of their internal servers, web applications, databases, SCADA systems, and wireless access points, alongside network device reviews. This assessment led to effective remediation strategies and countermeasures.