Kura AI

What do they actually do

Kura provides an AI-driven browser automation platform that converts tasks you perform in a web UI into repeatable agent runs and, if needed, a callable API or deployed app. Customers describe a task in plain language, Kura drafts a step-by-step plan, users confirm or edit it, test in a dashboard with logs and debugging, and then deploy it as an endpoint or application for programmatic use Kura homepage Getting started API docs.

Under the hood, Kura drives a real browser to click, read text, and fill forms using multiple cooperating AI components (planner, executor, critic) that use both the page’s text/DOM and visual information to decide actions Technical deep dive. They report state-of-the-art results on the WebVoyager benchmark (87% success vs. 57% baseline and 73% prior SOTA) Benchmarks. The product is positioned for enterprise pilots and demos, with early use cases in CRM, electronic medical records, and applicant tracking systems, and sales-led onboarding Kura homepage YC launch post. Operational features highlighted for production use include client-side encryption with customer-owned keys, credential handling, stealth/proxy support, caching and parallel execution, audit logs/action analytics, and deployment orchestration Kura homepage.

Who are their target customer(s)

• CRM / Revenue Ops manager needing data out of legacy SaaS: They deal with manual exports and copy‑paste because tools lack usable APIs or have limited integrations, making reliable reporting and downstream data feeds slow and error‑prone Kura homepage Getting started.
• Healthcare IT / EMR administrator for data pipelines and compliance: They must move data trapped in clinical UIs while keeping credentials and PHI secure, requiring encryption, credential management, and audit logs rather than brittle screen scraping Kura homepage Getting started.
• Talent acquisition / recruiting operations using ATS: They need bulk exports and cross‑system workflows but only have the ATS UI, forcing costly manual work or fragile scripts YC launch post Kura homepage.
• Customer support manager consolidating tickets from legacy systems: They manually extract recent tickets and create reports because old support tools don’t expose reliable programmatic access, slowing analytics and SLAs Getting started.
• Platform / automation engineer running production automations: They need automations that are observable, auditable, and callable as stable APIs—with deployment, monitoring, and orchestration—and are frustrated by prototypes that fail at scale or lack security controls API docs Getting started.

How would they acquire their first 10, 50, and 100 customers

• First 10: Founder‑led outreach to CRM/EMR/ATS teams for high‑value pilots, with white‑glove onboarding and a short custom POC measured by clear KPIs; provide security/compliance details and one‑off engineering help to remove blockers Getting started Kura homepage.
• First 50: Standardize repeatable pilots into a sales playbook and light self‑serve: verticalized templates, a templated pilot SOW, onboarding checklist, initial case studies, and productized one‑click API conversion to turn pilots into paying endpoints quickly API docs Benchmarks.
• First 100: Scale via implementation partners and enterprise packaging (SLAs, SOC2/BAA readiness, self‑host/VPC options), expand templates/monitoring playbooks, and invest in docs/SDKs/SEO to attract teams searching for “extract data from legacy UIs.”

What is the rough total addressable market

Top-down context:

Kura participates in enterprise automation budgets spanning RPA and intelligent process automation, which various reports size in the tens of billions today and growing, plus portions of CRM, EHR, help‑desk/contact‑center, and ATS spend that go to integrations and automation Grand View RPA DataBridge RPA GMI IPA Metrigy CRM Grand View EHR MRFR help desk MarketsandMarkets ATS.

Bottom-up calculation:

Conservatively: core automation (RPA + IPA) ≈ $15–30B today, plus a small integration slice of adjacent software—e.g., CRM ~$78B × 5% ≈ $3.9B; EHR ~$33B × 5% ≈ $1.7B; help‑desk ~$11B × 5% ≈ ~$0.5B; ATS adds hundreds of millions—yields roughly $30–40B of practical TAM GMI IPA Grand View RPA Metrigy CRM Grand View EHR MRFR help desk MarketsandMarkets ATS.

Assumptions:

• Avoid double‑counting by treating RPA/IPA as the core and adding only a small percentage of adjacent software budgets for integration/automation.
• Integration/automation typically represents a single‑digit percentage of large software categories; a 3–7% range is used here.
• Kura targets enterprise buyers needing production features (security, observability), not the entire SMB long‑tail.

Who are some of their notable competitors

• UiPath: Incumbent enterprise RPA platform with orchestration, governance, and credential stores. Overlaps on enterprise automation of UIs but is focused on low‑code workflows and broad RPA capabilities rather than AI browser agents UiPath overview credentials/security docs.
• Automation Anywhere: Enterprise RPA vendor with centralized control, audit logs, and credential management. Competes for governed, scalable automation use cases via traditional bot + orchestration approaches audit log credentials overview.
• Robocorp: Developer‑first RPA stack built around Python with Control Room (vaults, APIs, orchestration) and strong Playwright support; closer when buyers want code‑centric automation they build and maintain Control Room docs Playwright tutorial.
• PhantomBuster: Cloud service for browser sessions to scrape or automate simple sequences (lead gen, data pulls). Easier/cheaper for marketing tasks but lacks enterprise governance, secrets, and production orchestration how it works extension.
• DIY Playwright/Selenium + in‑house tooling: Teams can build their own browser automations and wrap them with custom queues, vaults, and monitoring. Maximum control, but requires significant engineering to match Kura’s reliability, agent drafting, and production observability Playwright docs Selenium docs.