EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises
Deploying AI agents in enterprise environments requires balancing capability with data sovereignty and cost constraints. While small language models offer privacy-preserving alternatives to frontier models, their specialization is hindered by fragmented development pipelines that separate tool integration, data generation, and training. We introduce EnterpriseLab, a full-stack platform that unifies these stages into a closed-loop framework. EnterpriseLab provides (1) a modular environment exposing enterprise applications via Model Context Protocol, enabling seamless integration of proprietary and open-source tools; (2) automated trajectory synthesis that programmatically generates trainin...
| Authors | Ankush Agarwal, Harsh Vishwakarma, Suraj Nagaje et al. |
|---|---|
| Primary category | cs.AI |
| Published | 23 March 2026 |
| Last updated at source | 23 March 2026 |
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