AI Foundation Models & Agent Systems
RECNOS builds AI foundation models and autonomous agent systems for enterprise automation. Work covers model selection and fine-tuning, multi-agent orchestration, persistent memory, and retrieval over a client's own corpus, delivered as a production service rather than a prototype.
Last updated: · By The RECNOS Engineering Team
What the engagement covers
- Multi-agent orchestration with explicit task handoff between agents
- Persistent memory layers that retain context across sessions
- Retrieval over a client's own document corpus
- Model selection, evaluation, and fine-tuning against real task data
- Human-in-the-loop review before automated output is published
- Cost and latency budgeting for inference at production volume
Where we have shipped this
Technology
PythonPyTorchTensorFlowAI/MLNode.js