Moative Agentry builds
custom AI Agents that work backwards
to deliver outcomes.
Zero fuss.
Do: Get Results
Don't: Fill forms. Upload Docs. OCR. Bite Nails.
Assign to another department. OOO. Do a gentle reminder. Call it work.
Moative Agentry
State of the art agentic workflows. Grounded in industry know-how.
Moative's forward-deployed consultants study your processes and recommend opportunities for re-engineering them on a first-principles basis. The Agentic AI team then designs the agent architecture that fits specific workflows.
Model Selection
Reflection models. Simple chain of thought. Respond and Act models.
Tool Selection
Heuristics-based selection of tools for each step of the workflow
Access Memory
Short-term/Long-term. Vector DB + RAG. Multi-agent Co-learning
Autonomous or Copilots? Business context decides the approach. But under the hood, the agents do four things.
Plan & Carry out tasks.
Retain Memory.
Use Tools.
Summon other agents to do tasks.
The right approach to agentic workflows demand the knowledge of the state of the art, your processes and outcome expectations, and bounded, outcome-driven experimentation.
Agentry runs this cycle several times on our dime. Moative experiments. You benefit.
Agent Orbit
Agents in Action
Ashwin Ramasamy, Co-founder of Moative discusses agentic approach to freight procurement with Nitin Jayakrisnan, Co-founder of Pando.ai – the autonomous logistics company