AndAIHub provides a unified enterprise AI platform for designing, training, and deploying custom AI agents grounded in proprietary data and workflows. The platform orchestrates multi-LLM workloads, supports deployment across air-gapped on-premise, hybrid cloud, or private VPC environments, and integrates with enterprise systems via OpenAPI and MCP. It also offers a curated marketplace of third-party AI products alongside in-house developed agents.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Enterprises struggle to deploy AI at scale due to fragmented point solutions, vendor lock-in from single large language model providers, and difficulty grounding AI in proprietary data and existing workflows. Many organizations also face infrastructure constraints that prevent them from meeting strict security, compliance, or data sovereignty requirements.
Solution
AndAIHub provides a unified AI platform that lets organizations design, train, and deploy custom AI agents tailored to their specific needs. The platform dynamically routes workloads across multiple LLMs based on capability and cost, eliminating vendor lock-in while optimizing performance. It grounds AI intelligence in proprietary data through contextual retrieval and hybrid search, and enables agents to execute real-world actions via OpenAPI and MCP integrations. Deployment flexibility spans full air-gapped on-premise, hybrid cloud, or private VPC environments, allowing organizations to match their security posture. The platform also includes a curated marketplace of third-party AI products alongside in-house developed agents, workflows, and solutions.
Target Audience
Primary customers are startups, MSMEs, and enterprises across industries including logistics, media, hotels, food, real estate, energy, telecom, travel, tech, and pharma that need secure, customizable AI solutions aligned to their workflows.
Features
- Multi-LLM orchestration that dynamically routes workloads to the optimal model based on capability and cost
- Deployment options including full air-gapped on-premise, hybrid cloud, and private VPC environments
- Knowledge-grounded AI using contextual retrieval and hybrid search over proprietary data
- Custom AI agents for onboarding, helpdesks, and business analysis use cases
- OpenAPI and MCP integrations enabling agents to execute real-world actions
- Curated marketplace of third-party AI products and services alongside in-house developed agents and workflows