We build everything in between.
Gerry is the AI agent platform for teams who know their industry deeply and want to put that knowledge in front of their users — without spending six months building retrieval pipelines, multi-tenant infrastructure, evaluation frameworks, and voice streaming from scratch.
Wiring together LLMs, vector search, tool calls, and memory takes months — and breaks when models change.
Serving multiple customers from one platform means re-inventing tenant isolation, auth, and per-tenant config every time.
Once deployed, you have no visibility into whether your agent is actually performing — or quietly going off the rails.
How we're different
Most AI platforms either build your app for you, or give you tools to construct agent flows yourself. Gerry does neither — it's the production infrastructure your app runs on top of.
Gerry is not a tool for building apps, and not a canvas for prototyping flows. It's the infrastructure layer your product runs on — so your team spends time on domain expertise, not AI plumbing.
Platform capabilities
Give every agent a name, bio, voice, and tone. Backed by any LLM — OpenAI, Anthropic, Gemini, or your own Ollama instance.
Each customer runs in an isolated database with their own API keys, agent configs, and users. No data leakage. No shared state.
Connect agents to your content via Weaviate hybrid search. Configurable per-agent retrievers with dynamic runtime filters.
Agents call external services through native tools, OpenAPI specs, or Model Context Protocol (MCP) — with zero extra glue code.
STT and TTS via Google or ElevenLabs. Streaming audio WebSockets for real-time voice conversations. Configurable per agent.
Agents pause and request human approval before taking sensitive actions — deterministic interrupts built into the execution graph.
Score every conversation on response quality, safety, accuracy, latency, and citation quality. Integrated with Langfuse for full tracing.
Prompt injection scanning via LLM-Guard. Per-tenant API key vaults. Auth via Firebase. Role-based access throughout.
How it works
Each customer or product line gets an isolated tenant with its own database, credentials, and configuration namespace.
Choose a model provider, write a system prompt, attach retrievers pointing at your content, and add tools for external integrations.
Drop the Gerry Flutter SDK into your app. Initialize with a tenant ID, authenticate users, and get a production-ready chat or voice interface with a few lines of code.
Every conversation is traced. Run the built-in evaluation suite to catch regressions, measure quality, and iterate on prompts with confidence.
Developer SDK
The Gerry Flutter SDK ships pre-built widgets, streaming chat, audio recording, and evaluation hooks — so you integrate capabilities, not infrastructure.
Gerry's execution engine uses LangGraph StateGraph for deterministic, pauseable agent flows. Not a prompt chain — a proper execution graph with checkpointed state, parallel retrieval, conditional routing, and interrupt support. The kind of architecture you'd spend six months building on your own.
Gerry is built for teams that want to move fast without rebuilding the same AI plumbing every project. Get in touch to learn more.
Get in touch