What We Build · Research

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.

Specialized agents. One coherent answer.

Orchestration layer

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.

Local-only, persistent memory

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.

Feeds directly into Zimi

What proves out here feeds into Zimi system development: the embed widget, tenant knowledge bases, and memory systems developed in the lab are the same components used in the Zimi platform.

What the lab has built and proven.

Complete data sovereignty

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.

One-line 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 via Mem0

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

ChromaDB retrieval

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

Built-in usage 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.

Configuration-driven routing

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.

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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