
Enterprises struggle to pick a single LLM for every query, leading to inconsistent answers and higher costs. Managing multiple APIs manually adds latency and complexity.
0nCore’s AI engine routes each request to GPT, Claude, or Gemini based on context using K‑layers. The platform auto‑provisions models, logs results in CRM sub‑locations, and enriches data with the CRO9 Neuro Engine.
Admins set criteria in the AI engine to select GPT, Claude, or Gemini per query type.
The Multi‑model Control Panel (0nMCP) connects to each model’s API and maps responses to CRM sub‑locations.
Responses are stored, scored, and refined by the CRO9 Neuro Engine and voice AI for continuous improvement.
Using auto‑provisioning and embed scripts, the council is rolled out across web forms and apps instantly.
Dynamic routing of queries across GPT, Claude, and Gemini based on real‑time criteria.
Unified control panel to manage model credentials, usage limits, and performance metrics.
Store each model’s answer in dedicated CRM fields for audit and analytics.
AI‑driven scoring that selects the highest‑quality response for each interaction.
Leverage GPT, Claude, and Gemini together to boost accuracy and relevance. 0nCore orchestrates the multi‑model council t...
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