01
Channel / SDK
Put existing agents where employees and customers already work.
- Web
- App
- LINE
- Slack
- Teams
- API / SDK
Crescendo Agent Lab · Enterprise AI agent platform
Move AI agents from demos into real enterprise work.
Agent Lab brings entry, decisions, connections, deployment, and governance into one enterprise platform.
Want the tour first? See how Agent Lab works.
Agent Lab
Running securely
01Channel / SDKSlack · LINE · Web
02AI GatewayModel · Context · Tool
Digital employeeProcurement agent
LIVECheck inventory and prepare the next purchasing action
Slack→Agent decision→ERP
03Access & ConnectAPI · MCP · Database
04DeploymentCloud · Hybrid · On-prem
Shared governance
IdentityPolicyApprovalUsageAudit
The basics
Crescendo Agent Lab: an enterprise AI agent platform from Taiwan
Crescendo Agent Lab is the enterprise AI agent platform from Crescendo Lab in Taiwan: people hand work to agents in the web console and Slack, and IT manages permissions, budgets and records in one place.
- Modules
- Channel / SDK, AI Gateway, Access & Connect, Deployment
- Permissions
- Agents act only with the asker's own permissions
- Cost
- Workspace and team budgets are hard caps; calls past them are refused
- Records
- Every model call, approval and credential use logged and exportable
- Where it runs
- Google Cloud in Taiwan; hybrid or on-premises per project
Four core products
An agent needs four capabilities to work inside an enterprise
Four products cover the enterprise agent lifecycle.
Channel / SDK
Put agents in Web, App, LINE, Slack, Teams, or your own API.
Let agents be used →AI Gateway
Unify model routing, budgets, usage, and cost.
Let agents decide →Access & Connect
Connect APIs, MCP, databases, and SaaS with permissions and audit.
Let agents act safely →Deployment
Run and monitor agents in cloud, private cloud, or on-prem.
Let agents run →In 45 seconds
Four modules make agents work. One platform keeps them under control.
Front door, brain, hands and runtime, held up by one layer of governance.
Channel and decisioning
Carry one identity, policy, and usage trail through every interaction
Channel / SDK brings agents to users; AI Gateway governs models, tools, and cost.
02
AI Gateway
Every model call passes one point: pick the model, reserve the budget, write the ledger.
- Auto routing
- OpenAI / Anthropic API
- Claude Code · Codex
- Budget
- Usage
- Cost
03 · Access & Connect
Connect systems and make every agent's authority explicit
Add 24 integrations in one click; reach anything else through remote MCP or Zapier.
- 24integrations, one click each
- Anyremote MCP server, by URL
- Thousandsof apps through Zapier
- GitHub
- Notion
- Linear
- Atlassian
- Asana
- Figma
- Sentry
- GitLab
- Intercom
- monday.com
- Airtable
- Zapier
- Stripe
- PayPal
- Shopify Storefront
- Webflow
- Wix
- Supabase
- Vercel
- Postman
- Hugging Face
- Cloudflare Docs
- DeepWiki
- Context7
- Any MCP serverPaste the URL, pick the auth
Every connection is governed the same way
- The member's own or a shared organization connection
- OAuth, bearer token or client credentials
- Credentials sealed with AES-256-GCM
- On-premises systems through a relay
- Slack, Teams and LINE share one identity and audit trail
04 · Deployment
Deploy what your AI built, from the same chat you built it in.
Ship the site, app and PostgreSQL you built with Claude Code, Codex or another MCP client from one sentence in the chat, with a preview for every version.
Use Cases
Turn platform capabilities into digital employees that get work done
Franky and DAAC are both built on Agent Lab.
Digital Employee
Franky
A digital employee in Slack that answers with sources and works across systems with each coworker's permissions.
Visit Franky's dedicated page →Data Agent
DAAC
Turns MAAC, CAAC, and external data into insight, predictions, and next actions.
Explore DAAC on the main site ↗Docs
One documentation entry point for guides, APIs, MCP, and SDKs
Quickstarts, product guides, and technical references.
FAQ
Crescendo Agent Lab questions
What is Crescendo Agent Lab?
The enterprise AI agent platform from Crescendo Lab, Taiwan. Four modules (Channel / SDK, AI Gateway, Access & Connect, Deployment) let agents do the work, and one set of identity, budgets, approvals and audit keeps them in line.
Is it the same as ServiceNow AgentLab or other products named AgentLab?
No. Crescendo Agent Lab is made by Crescendo Lab and is unrelated to ServiceNow AgentLab, Resolve AgentLab or the agentlab packages on PyPI and npm.
What should IT have in place before rolling out AI agents?
Three things: agents that cannot overreach, a token bill with a hard cap, and a record of who did what. Agent Lab acts only with the asker's own permissions, holds the budget before each call, and records every model call and approval. How to choose an enterprise AI agent platform
Where do employees use the agents?
In Slack, Microsoft Teams, LINE group task intake or the web console, and through MCP and the Agent API in your own systems. Every entry point shares one identity, budget and record.
Where is data kept? Can it run on-premises?
The cloud edition runs on Google Cloud in Taiwan (asia-east1) with one tenant per workspace. Systems inside your network connect through a relay that only dials out; the whole platform in your data center is scoped per project.
Can we try it first?
Yes. Sign up to open a workspace yourself, or book a demo to walk one of your scenarios through approvals and budgets.
Sign up free, or book a demo
Sign up free
Or book a demo and bring one real agent scenario:
- 45 minutes on an approval and a budget in your scenario
- On-prem or hybrid? We'll look at your environment
- Straight answers on data, permissions, and cost
- If it fits, a workspace the same week
Got it
We'll email you to set a time.