Integrations
Deeply integrated
Pulls leads from Gmail, books calls in Calendar, updates HubSpot, posts to Slack. Real work in your real tools, and 10,000+ more.
Business-ready by default
Your agent is connected, secure, and switched on the day it arrives. It already talks to the tools your team uses, keeps your data on your own server, learns your preferences as it works, and runs without anyone watching over it.
Business tool integrations. 300+ top-tier AI models. Enterprise-ready security.
The platform
A look at the dashboard your team uses to run an outcome agent in production.
Slack, HubSpot, Gmail, Notion, Salesforce, Shopify, and more. The agent works inside the tools your team already uses, so it fits your processes instead of asking you to change them.
Choose the most capable and efficient model for every task. Frontier reasoning when it matters. Faster, cheaper models when it does not. All through one platform.
Multiple layers of security, allowlist messaging, malicious add-on scanning, and monthly patching. One-click kill switch the moment you need it.
Request the whitepaperBeyond the platform
Most AI lands on your desk and waits for you to make it work. The platform comes with everything your team needs to take control: tutorials, expert support, and new capabilities every week.
Pillar 01 · Tutorials
Short, focused videos walk your team through building new workflows, adding integrations, and shaping the agent to your business. No engineering required.
Without it: your team waits on engineers every time something needs to change.
Pillar 02 · Support
Coaching calls, office hours, and fast ticket resolution included with every plan. Talk to the people who built the platform, not a ticket desk.
Without it: a ticket queue and no path to the people who built it.
Pillar 03 · Roadmap
New integrations, sharper models, tighter guardrails. Every customer gets every upgrade automatically, without re-platforming or paying for an upgrade.
Without it: your agent stays where it started while competitors keep getting sharper.
More from operators
I have done three months of work in five days. The money was negligible compared to the tens of thousands creative agencies would have charged, and the quality is as high as I have ever seen.
I’d been running my own OpenClaw setup before I found ZeroToClaw: 18 agents, multiple Telegram bots, I was pushing it as far as I could. ZeroToClaw rebuilt the foundation on a secured platform, tuned the self-improving memory loop, and built a custom context plugin so every agent operates the way Zocial does. Now every person on my team has their own AI working alongside them. We're competing at a different level now.
Tracking the weather, switching snorkeling sites, and messaging every customer used to take four hours a week, plus three more every time we changed location. The agent handles it. That time goes into marketing and new experiences.
One agent · Many possibilities
Plug it into the tools and processes you already use. It runs in the background, takes on the jobs you have not had time for, and keeps your data on your stack.
Integrations
Pulls leads from Gmail, books calls in Calendar, updates HubSpot, posts to Slack. Real work in your real tools, and 10,000+ more.
Intelligence
Our proprietary routing picks the right model for the job, across 300+ top-tier AI models. Frontier reasoning when it matters. Faster, cheaper models when it does not.
Autonomy
You name the outcome. It runs in the background and reports back when it is done. No babysitting.
Trust
On your server, hardened day one. Your data never leaves your stack.
Growth
The longer it runs, the better it gets at the judgement calls only you would make.
Sarah prefers AM meetings. No Fridays.
Q1 closes need 3 weeks lead time.
Default reply tone: direct. No fluff.
Skip vendor pitches before $50k MRR.
Memory
Tracks your preferences, decisions, and habits. So the second ask never feels like the first.
Architecture
The platform · our infrastructure
The agent framework gives you the brain. We build everything else: the portal you use it through, the integrations and custom skills it acts with, and the security frame around all of it.
The platform · the substrate
Every outcome agent we ship sits on the same three-layer foundation. The orchestration layer makes the model useful. The observability layer makes it accountable. The guardrails layer makes it safe to put in production.
Layer 01
Routes work to the right model, holds state across sessions, and connects to the systems the agent has to act on.
Layer 02
Every input, every output, every decision the agent makes, logged with the reasoning behind it. You see what the agent did and why.
Layer 03
Evaluations at three levels and hardening by default. The agent stays inside the scope you defined, and you can see the proof.
Plain-English summary · Detailed security model · Whitepaper
Security
Your agent runs on your server, off the public internet. You decide who can access it and what they can do. Every action is watched and logged. And any of it can be revoked in one click. Built to pass procurement and security reviews without a months-long back and forth.
Private by default.
Runs on your server, off the public internet. Your data stays in your environment. We do not host it.
You decide who gets in.
Multifactor login on every user. Single sign-on supported. Per-integration permissions you set yourself.
Watched the whole time.
Continuous monitoring across every input, output, cost, and action. Full audit trail, exportable for compliance and procurement reviews.
You can pull the plug anytime.
Revoke any integration in one click. Kill switch the moment you need it.
Security model
The platform was designed after we watched 135,000 OpenClaw agents end up on the public internet with zero authentication. The default state of an agent has to be safe. The customer should not have to remember to turn security on.
You own the data, the integrations, and the model weights where the agent uses customised ones. We do not host the customer data. No lock-in to our infrastructure.
Required on every login to the agent and to every connected application. Single sign-on supported where the customer already operates one.
Each connected application gets the minimum scope the agent needs to do its work. Read-only by default. Write actions confirmed against a customer-set policy.
The agent only ever talks to people on a list you approved. Outbound messages to new recipients are held for review until the customer adds them.
Every third-party tool the agent uses is scanned for known malicious patterns before it is allowed near customer data. Tools are pinned to reviewed versions.
Operating system, supporting libraries, and platform components are patched on a monthly cadence. Critical patches go out within 48 hours of disclosure.
Every agent action is logged with timestamp, actor, data touched, and result. Exportable for compliance reviews, board reporting, and procurement audits.
Every integration can be revoked from one screen, in one click. The agent stops acting on the data immediately and the audit trail records the revocation.
Technical whitepaper · architecture reference
Written for senior engineers and AI leads evaluating ZeroToClaw on technical merit. Everything we run, with the rationale, the trade-offs, and the benchmarks we hold ourselves to.
Drop your details · we email the paper
A 15-minute business check. We map what work your agent needs to take on and which systems it has to connect. Then we apply our three executive tests: financial line, data, accountability. You know whether this will pay back before you spend a dollar.
Book a free 15-minute business check →