ServiceAI Lab is where our orchestration infrastructure, model routing, and agent architecture live. We build the primitives so the Studio can ship faster.
Different tasks need different models. Our routing layer picks the right one automatically — or lets you lock a workflow to a specific provider.
Our default reasoning engine. Long-context document synthesis, nuanced instruction-following, and the safest output profile in production.
Code generation, function calling, and structured JSON output. The workhorse for anything that involves writing, modifying, or testing code at scale.
Multimodal pipelines and Search-grounded workflows. When an agent needs to see an image, read a PDF, or pull live web data, Gemini is in the loop.
Real-time reasoning with a lower filter threshold. Used in research sprints and market-scanning workflows where recency and directness matter.
These are internal tools that power every Studio engagement. Both are available to enterprise clients under custom agreements.
Our custom agent orchestration engine. OpenClaw manages tool selection, model routing, confidence scoring, and guardrail enforcement across every agent we deploy. It's what lets a voice agent answer a call, check a calendar, write a booking confirmation, and log the conversation — all in under 400ms.
Internal message broker and event bus for multi-agent workflows. Hermes handles async communication between specialized agents — routing a call summary from the voice agent to the CRM agent, triggering a follow-up SMS 90 minutes after a consultation, or escalating an unresolved thread to a human operator.
Workflow graphs with conditional branches, parallel execution, and state persistence across multi-turn conversations.
Automatic selection of the best model per task based on cost, latency, and capability — with fallback chains on failure.
Configurable gates that pause agent execution and route to a human reviewer before committing irreversible actions.
Output filtering for PII, brand voice drift, compliance triggers, and off-topic responses — tuned per deployment.
Real-time dashboards for latency, success rate, escalation rate, and token spend — with Slack alerts on anomalies.
We design end-to-end agent workflows as system diagrams before writing a line of code — reviewed and approved by the client.