Spotlight

What if creating AI workflows was as simple as drag-and-drop?

Quick Pitch: DoFlo is an AI automation platform that connects AI tools and software into workflows from a single prompt. Its “micro-agent” architecture delivers 90–98% efficacy with a drag-and-drop interface built for non-technical users.

The Problem

• Too Technical: Most automation platforms require technical know-how, leaving non-technical teams behind..

• Low Reliability: Agentic AI tools often fail due to low transparency and high error rates.

• Manual Workflows: Industries like insurance and surveying still rely heavily on paper forms.

Snapshot

• Industry: Workflow Automation and Agentic AI 

• Headquarters: Arlington, Virginia

• Year Founded: 2024

• Traction: mid six-figure ARR growing steadily month-over-month, a few thousand users, and hundreds of customers, 2,700+ integrations

Founder Profiles

• William Butler, Co-Founder, CEO: Sold cybersecurity startup Steel Mountain to Avast. Former Director of Product at Avast.

• Thomas Maarseveen, Co-Founder, CTO: Led embedded systems and IoT security at Avast. Deep experience in complex system architecture.

Funding

• Current Round: Raising ~$1M (Seed)

• Lead Investors: Haatch Ventures, Savyon Ventures

• Total Raised: $650K(Pre-Seed)

Revenue Engine

• Self-Service Plans: Volume-based, starting at $55/month

• Enterprise Plans: Custom features and support

• Channel Sales: Through DoFlo-accredited consultancies

• Upcoming: Marketplace for templates, workflows, and AI agents

• GTM Focus: Insurance and property surveying

What Users Love

• Micro-agent architecture with >90% efficacy

• Drag-and-drop UI for non-technical users

• 2,700+ integrations with 2-click setup (no API keys)

• Frequent product updates (3x per week)

Playing Field

• Zapier, Make, n8n: Feature-rich but too complex

• Gumloop, Stack AI: Agentic but error-prone and opaque

Why It Matters

Agentic AI and workflow automation are converging toward a $1 trillion market by 2030. Within that, industries like insurance and property surveying represent a $20 billion opportunity and remain largely underserved by current tools.

What Sets Them Apart

• Architecture: Micro agents embedded in structured flows reduce errors

• Focus: Tackling complex, document-heavy workflows in legacy industries

• Execution: High shipping velocity from a lean, fast-moving team

• Experience: Intuitive interface built for nontechnical users

• Business Model: Healthy margins and strong customer retention

Analysis

Bulls Case 📈 

• Clear revenue traction

• Strong founder-market fit

• Best-in-class AI reliability and UX

• High-margin SaaS with expanding GTM

Bears Case 📉 

• Competes with entrenched players

• Needs to sustain product velocity as it grows

• Scaling channel and marketplace is execution-heavy

• Vertical-first GTM may limit broader expansion

Verdict

As agentic AI shifts from experimentation to utility, the winners will be easy to adopt, reliable, and designed for real-world workflows. DoFlo’s small-step automation approach is aligned with that future. The question is whether they can scale without losing their edge.

The Startup Pulse

• Conversion — Marketing automation startup founded by UC Berkeley dropouts raised $28M, reaching $30M total funding and nearly $10M in ARR from mid-market customers.

• Palo Alto Networks — Announced $25B acquisition of CyberArk, marking its largest deal and entry into identity security.

• Figma — Debuted on the NYSE with a $45B market cap after its previously blocked $20B acquisition by Adobe.

Written by Ashher

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