What do they actually do
Integuru builds two things you can use today. First, an open-source agent that reads a website’s real browser network traffic (HAR + cookies), identifies the internal endpoints the site calls, and generates runnable integration code so you can call those endpoints directly instead of automating the UI. The repo includes a demo and step-by-step workflow you can reproduce locally Integuru GitHub.
Second, a commercial service where Integuru builds, hosts, and maintains these integrations for you—handling authentication, uptime, and changes to the target site. They list pricing and customers on their site, along with a case study showing a healthcare customer moving from brittle browser automation to internal-API calls with much lower latency and setup times under a day for each integration site/pricing Penciled case study.
Who are their target customer(s)
- Early-stage product/engineering teams integrating with websites that lack public APIs: They’re stuck with fragile browser automation or manual work that breaks when the UI changes, slowing development and delaying launches.
- Ops or automation teams running RPA/browser scripts: Frequent UI changes cause script failures, driving high maintenance overhead and unpredictable downtime for internal teams and customers.
- Digital-health startups and healthcare integrators (EHRs, scheduling, payer portals): They need reliable, low-latency integrations for sensitive workflows but can’t depend on brittle UI automation; performance and uptime directly affect clinicians and patients Penciled case study.
- Marketplaces and aggregators integrating across many vendor sites: Each new partner requires custom scripts and ongoing fixes, making it slow and costly to scale coverage and keep data/actions in sync.
- SaaS companies that sell “integrations” as a feature (booking, billing, CRM sync): Onboarding and maintenance are labor-intensive; flaky or slow integrations hurt activation, retention, and support loads.
How would they acquire their first 10, 50, and 100 customers
- First 10: Target teams already suffering from broken browser automation (YC network, dev Slacks, GitHub stars) and offer a 1-day, free PoC converting one UI script into an internal‑API integration using their HAR capture; demo the repo workflow live agent README/demo and cite the Penciled results as proof case study.
- First 50: Turn the 1‑day PoC into a repeatable sales‑engineer playbook, hire 1–2 SEs to run 4–6 PoCs/month each, and focus on vertical clusters (digital health, marketplaces, SaaS) with tailored pages and case-study emails; publish short technical write-ups from each win to drive inbound from developers/ops services & pricing vision/verticals.
- First 100: Launch a paid hosted/private‑agent product with self‑serve onboarding for common templates, create an integrations gallery and a partner channel with RPA/integration consultancies, and invest in monitoring plus a small maintenance team to keep churn low; use the gallery and accumulated case studies to convert marketplace/aggregator customers at scale private agent note open‑source to hosted mix.
What is the rough total addressable market
Top-down context:
Adjacent categories suggest a large opportunity: RPA is projected to reach roughly $35.8B by 2033 Grand View Research, iPaaS is estimated to grow from $10.5B in 2023 to $71.4B by 2030 Grand View Research, and web scraping software is expected to approach ~$2.0B by 2030 Mordor Intelligence. Integuru addresses the slice of integration spend where public APIs don’t exist—sitting between RPA (UI-driven) and iPaaS (API-driven).
Bottom-up calculation:
Assume ~12,000 global companies have recurring needs for non‑API web integrations; if each buys 2 managed integrations at ~$1,500/month, annual spend ≈ 12,000 × 2 × $18,000 ≈ $432M TAM.
Assumptions:
- There are ~12k target companies globally across SaaS, marketplaces, and regulated verticals with ongoing non‑API integration needs.
- Average customer buys 2 managed integrations.
- Blended price of ~$1,500 per integration per month ($18k/year).
Who are some of their notable competitors
- UiPath: Enterprise RPA platform focused on UI automation for workflows across desktop and web apps; commonly used when APIs are unavailable.
- Automation Anywhere: RPA platform for automating UI-driven business processes; teams use it to script interactions with websites that lack APIs.
- Apify: Platform for building and hosting web automation/scraping actors; popular with teams extracting data or automating web tasks at scale.
- Browse AI: No-code web automation and data extraction tool used to monitor or pull data and perform simple actions via the UI.
- PhantomBuster: Cloud bots for automating web actions and data collection, frequently used for lead gen and workflow automation on third‑party sites.