Zatanna

Roadmap & Position in Automation API Layer

Turns legacy software workflows into agent-first APIs by observing human actions.

Company Overview

Turns legacy software workflows into agent-first APIs by observing human actions, reconstructing the underlying request flow, and exposing stable endpoints for AI agents and internal systems.

What They're Building

The company's public product roadmap & what they're committed to building.

Publicly, Zatanna is focused on turning human-only workflows into reliable APIs for AI agents, with emphasis on session handling, auth, retries, request sequencing, proxies, TLS fingerprinting, and anti-bot resilience. The likely near-term roadmap is a more self-serve workflow capture product, deeper observability, reusable integration templates, and enterprise controls for sensitive environments.

Latest Intelligence

Zeitgeist tracks private signals to determine where the company is heading strategically.

Human Workflows Become Agent APIs

May 13, 2026

Confidence:

High

New Intel: Zatanna is turning legacy software workflows into agent-ready APIs by observing human actions and reconstructing request flows. That gives AI agents a path into systems without clean APIs.

Founder and Key Execs

Rithvik Vanga, Co-Founder & CEO

Co-Founder & CEO

Alex Blackwell, Co-Founder & CTO

Co-Founder & CTO

Tarun Vedula, Co-Founder & COO

Co-Founder & COO

Founder Force Multiplier

Zatanna's edge is a combination of anti-bot know-how (Alex Blackwell previously at Pikkit bypassing anti-bots), workflow reverse engineering, and a thesis that the real bottleneck for agents is software access rather than model intelligence alone.

Funding History

2025 | Rithvik Vanga, Alex Blackwell, and Tarun Vedula co-found Zatanna.
2026 | Accepted into Y Combinator Winter 2026 batch.
2026 | Likely ~$500K raised to date (YC standard deal).

Competitors

Browser Automation and RPA

UiPath, Automation Anywhere, Browserbase, Playwright-based agent tooling.

API and Integration Tooling

Merge, Paragon, Finch, Pipedream.

Agent Infrastructure and Computer-Use Startups

Harvey-style workflow tools, Operator-like agent layers, and stealth AI automation startups building request-layer abstractions.

Zatanna

's Moat:

Anti-bot expertise (from Pikkit) applied in reverse: instead of bypassing detection, Zatanna reconstructs the underlying request flows that legacy software uses. Stable endpoint exposure means AI agents can interact with software that was never designed for API access. Each legacy application reverse-engineered adds to a library of workflow patterns.

How They're Leveraging AI

Workflow reconstruction

Uses ML to infer the hidden structure of legacy software workflows from a demonstrated task and convert that behavior into a stable, agent-usable API.

Failure recovery

Uses ML-assisted detection and adaptation to keep workflow-backed APIs reliable when upstream software changes, fails, or triggers anti-bot defenses.

Structured action interface

Uses ML to translate messy outputs from legacy systems into clean structured responses and agent-compatible tool interfaces.

AI Use Overview:

Using workflow reconstruction from observed actions, failure recovery for resilient automation, and structured action interfaces for agent integration.

More Similar Companies

Tasklet

Runs cloud AI agents for recurring knowledge-work workflows.

Firebase-grade infra founders are attacking workflow automation as LLMs start to operate software, with early ARR and USV as both customer and investor.

Decagon

AI agents that autonomously handle enterprise customer support across chat, email, voice, and SMS.

Agentic AI for customer support is one of the few GenAI categories with clean ROI math, and Decagon has locked in the blue-chip logo sweep that compounds into category default status.

Manus

Autonomous AI agent platform that executes multi-step business workflows end-to-end

A model-agnostic orchestration layer with real browser and shell execution captured viral enterprise demand faster than any US agent startup, a thesis validated by Meta's $2B acquisition.

Bubble Lab

Gives ops teams an AI super-employee in Slack that automates cross-platform workflows.

Zapier and Make require users to think in workflows. Bubble Lab's Pearl lives in Slack and runs multi-step operations (Jira, Stripe, Notion) from plain English, which means ops teams adopt it without learning a new tool.

Back To All Companies >