Agentic
Orchestrators route questions to specialist agents that decide which tools to call and how to chain work.
ADAR Platform
Agentic Data Access and Reasoning.
ADAR is the reusable core behind Agomonia Labs products: autonomous agents, live data access, retrieval, reasoning, evaluation, memory, and cloud deployment.
Data
Systems can use live APIs, web sources, SQL, uploaded files, OCR, vector stores, and user workspaces.
Access
One conversational interface reaches across private content, operational systems, and external knowledge.
Reasoning
LLMs synthesize retrieved evidence into decisions, summaries, checks, packets, and next-step actions.
Reusable Design Patterns
The same architecture can move from restaurants to healthcare to sports.
Keep the chat, memory, orchestration, audit, and cloud runtime stable; swap the agents, tools, data schema, and workflow contracts for each vertical.
Specialist agent hierarchy
A root orchestrator reads intent and delegates to focused agents rather than forcing one model to handle every workflow.
Tool calling against real systems
Agents call live APIs, search indexes, databases, web sources, document stores, and business functions.
Shared state and memory
Session state carries active context, user memory restores preferences, and logs preserve the audit trail.
Declarative configuration
Agent names, instructions, models, tools, and sub-agent relationships can be managed as configuration.
Natural-language query planning
Open-ended analytics can retrieve similar examples, produce a structured query plan, execute safely, and improve over time.
Evaluation and governance
Scoring, citations, traces, feedback, approval gates, PHI flags, and audit history make AI work reviewable.