Lindy
No-code AI agents that automate email, scheduling, and multi-step workflows
Turn plain-English instructions into automated data workflows
Lutra is a smart fit for data-wrangling tasks that fall between no-code tools and custom scripts, especially spreadsheet enrichment and PDF parsing. Its code-backed workflows are more transparent than many black-box automators, which matters for auditability. Pricing beyond the entry tier leans toward custom quotes, so larger teams should budget carefully. It is less suited to broad app-to-app orchestration than dedicated iPaaS tools.
Lutra converts natural-language instructions into code-backed workflows that extract, categorize, and enrich data from the web, PDFs, spreadsheets, and email, integrating with Google Workspace, Slack, and HubSpot.
Lutra sits between no-code automation and full scripting by generating actual runnable workflows from what you describe in English. It is strongest at data-heavy chores: parsing PDFs, enriching spreadsheet rows with web research, categorizing inbound email, and pushing results into connected tools. Because workflows are code-backed, they can be inspected and reused rather than treated as opaque. The platform emphasizes secure handling of business data and integrates with common productivity suites so outputs land where teams already work. It appeals to analysts, operations staff, and researchers who repeatedly perform the same extraction-and-enrichment tasks. Lutra positions itself as a way to reclaim hours per week spent on manual copy-paste and lookup work.
Lutra turns plain-English instructions into code-backed workflows for extracting and enriching data across web, PDFs, spreadsheets, and email, ideal for analysts and ops teams.
Lutra is a workflow automation startup focused on AI-driven data processing for knowledge workers. It differentiates by generating transparent, code-backed workflows rather than opaque no-code flows.
The company targets the growing demand for practical AI automation in everyday office work, positioning itself between simple no-code tools and custom engineering.
Lutra generates executable workflows from natural language, specializing in parsing, extraction, categorization, and enrichment tasks. It connects to Google Workspace, email, Slack, and HubSpot to source inputs and deliver outputs.
Workflows are reusable, schedulable, and inspectable, making them suitable for repeatable analyst tasks. The platform emphasizes secure handling of business data.
Lutra serves data analysts, operations staff, researchers, and consultants who repeatedly perform extraction and enrichment tasks and want automation without scripting.
Analysts and operations staff doing repetitive data lookup and enrichment.
Ops and data team leads seeking to cut manual work.
Researchers and power users championing automation.
SMB and mid-market teams with recurring data extraction and enrichment workflows.
Venture-backed; specific funding details should be verified with the vendor.
It excels at data extraction and enrichment from the web, PDFs, spreadsheets, and email, turned into reusable workflows.
No. You describe the task in English and Lutra generates a code-backed workflow you can inspect and rerun.
It connects to Google Workspace, Gmail, Outlook, Slack, and HubSpot among others.
Lutra offers a freemium tier with paid plans starting around $29/month.
Yes, workflows can be reused and scheduled to run automatically.
Side-by-side pages for pricing, features, and best-fit use cases.
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