The agent platform for vertical SaaS

Your roadmap already has a launch date. Six months of build time doesn’t fit.

Vectrify is the complete agent platform for vertical SaaS teams: agents, skills, workflows, runners, automations, and a white-label embed SDK.

Start free trial Talk to sales

14-day free trial · No credit card required

app/agents/page.tsx

import { VectrifyEmbed } from '@vectrify-ai/ui';

// One component. Your tenant, your theme, our harness.
export default function AgentsPage({ tokens, brand }) {
  return (
    <VectrifyEmbed
      accessToken={tokens.accessToken}
      refreshToken={tokens.refreshToken}
      view="agents"
      scope="write"
      theme={brand}                 // white-label
      themeMode="system"
      onHostAction={reviewAction}   // propose → commit
    />
  );
}

You're building a vertical SaaS product. Your customers expect AI features—agents that know their data, workflows that run automatically, actions that get proposed and committed, not just chatted about. Your roadmap has it. Your engineers are buried.

So the sprint starts. Build the connectors. Parse the documents. Stand up the vector store. Wire the agent loop. Handle multi-tenant isolation. Build the chat UI. Theme it. Maintain all of it. Six months later you shipped a chatbot, not a product.

There's a faster path.

How you'll spend the next six months

Same outcome. Very different path.

Your product. Our harness.

Building it yourself

The slow way

Month 1–2: Build connectors for Confluence, SharePoint, and website crawl.
Month 2–3: Write parsing, chunking, and embedding pipelines from scratch.
Month 3–4: Stand up vector storage. Engineer multi-tenant data isolation.
Month 4–5: Build the agent loop, tool calling, and a skill system.
Month 5–6: Build the UI, white-label it, add theming, build a workflow builder.
Month 7+: Maintain all of it, indefinitely.
Ongoing: Engineers stuck on plumbing. Product roadmap stalled.

Building with Vectrify

The intended path

Day 1: Connect your first data source. Agents are already searching it — and ready to act.
Day 2: Drop <VectrifyEmbed /> in your React app. Themed to your brand.
Week 1: Build custom skills for your vertical. Attach them to any agent.
Week 2: Wire up automations. Nightly digests. Weekly reports. Done.
Week 3: Ship multi-step workflows with AI-driven stage routing.
Month 1 (the plan, not a track record yet): First customers using AI features. Real feedback. Real iteration.
Forever: Engineers building your product. Not data plumbing.

The whole harness. Six systems, one service.

System	What it does	Where it runs
Agents	Configurable workers that reason, call tools, and delegate to sub-agents.	Cloud, multi-tenant.
Skills	Versioned, tiered tool packages any agent can attach.	Cloud.
Workflows	Boards with named stages and AI-driven routing between them.	Cloud.
Runner	Executes file, shell, and git operations.	Your machine— outbound-only, no inbound ports.
Automation	Triggers agents or workflow cards on a schedule, webhook, or event.	Cloud.
Embed SDK	Drops the harness into your product, themed to your brand.	Cloud → your app.

Connectors live today: Confluence, SharePoint, website crawl, direct upload. Don't see yours? We build connectors on request, usually about a day.

Explore all features →

About six months of one senior engineer— roughly $100,000 of engineering time.

That estimate is a mid-market $145,000 base salary, fully loaded per BLS compensation data—the labor cost of building an equivalent agent platform in-house, before ongoing maintenance.

See how we price it →

Ship AI features this month. Not next year.

14-day free trial. No credit card required.

Start free trial