Gem Coral Systems LLC  ·  AI Infrastructure

Where Gem Coral's AI platform work gets proven.

Zimi Lab is the research and experimentation program behind Gem Coral's conversational AI — agent orchestration, retrieval pipelines, and memory systems, tested on local infrastructure before they ship into products like Zimi.

Meet the agents Looking to deploy? See Zimi
Multi
Specialized agents
Local
All inference on-device
2026
Program opened
0
Data leaves your server
Multi-agent architecture

Specialized agents. One coherent answer.

Zimi Lab uses a LangGraph orchestration layer to route each query to the right specialist. The Orchestrator decides which agents to invoke, in what order, and how to synthesize their outputs — without exposing that complexity to the user.

Every agent runs against local Ollama inference. No query leaves your server. Memory is persistent across sessions via Mem0, so Zimi learns your context over time without a cloud dependency.

What proves out here ships into production: the embed widget, tenant knowledge bases, and memory systems developed in the lab are the same components that power Zimi deployments for real businesses.

Orchestrator
Routes queries to specialist agents, manages execution order, and synthesizes final responses. Powered by our primary local reasoning model.
Knowledge Agent
Queries ChromaDB vector store for tenant-specific knowledge. Retrieves the most relevant documents before any generation step.
Memory Agent
Reads and writes session memory via Mem0. Stores user preferences, past context, and learned facts across conversations.
Web Search Agent
Handles queries that require current information beyond the knowledge base — triggered selectively by the orchestrator, not on every query.
Code Agent
Handles technical queries, code generation, and structured data analysis. Routes to a fast local utility model for low-latency code tasks.
Proven in the lab

What the lab has built and proven.

Local inference

All LLM calls run through Ollama on your own GPU. No tokens are sent to OpenAI, Anthropic, or any cloud API. Complete data sovereignty — every query stays on your hardware.

B2B embed widget

One script tag drops a fully functional Zimi assistant onto any website. The widget connects to a tenant-specific knowledge base and session memory — white-labelled, zero config for end users.

Persistent memory

Mem0 stores structured facts across sessions — user preferences, past decisions, ongoing projects. The assistant gets smarter with each conversation without requiring cloud storage.

Vector knowledge base

ChromaDB holds tenant content as embeddings. Documents, FAQs, product specs, and policies are chunked and indexed — enabling accurate semantic retrieval before generation.

Stripe billing

Usage-based billing is built in. Tenants are metered per query, per session, or per tier — with Stripe handling subscriptions, upgrades, and invoicing automatically.

Swappable models

Model routing is configuration-driven. Switch between the orchestration model, utility models, or any Ollama-compatible model per agent or per query type — no code changes required.

From lab to production

Looking to deploy conversational AI?

The patterns proven in Zimi Lab ship as Zimi — Gem Coral's conversational AI platform, with deployment plans for websites, WhatsApp, and tourism operators.

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