Lutra AI
AI agent for personal data workflows
Overview
Lutra is an AI agent that connects to Gmail, Google Sheets, CRMs and other personal-data sources to automate multi-step workflows — extract data from emails, enrich into spreadsheets, draft replies. Particularly popular with sales and recruiting operators.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 20 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
What you can produce with Lutra AI
- Extract structured data (names, companies, order details) from a Gmail inbox and write it into rows of a Google Sheet automatically.
- Enrich a spreadsheet of leads with company details, websites and other information pulled from web research, without writing code.
- Draft personalized reply or outreach emails based on the content of incoming messages and CRM context, ready for review before sending.
- Turn a plain-English instruction like 'find all invoices in my inbox from last month and summarize them' into a repeatable, code-backed workflow.
- Parse data out of PDFs and attachments and categorize it into a structured table.
- Run recurring multi-step workflows (extract, enrich, update CRM) on a schedule instead of doing the same manual triage every week.
- Extract themes and insights from batches of customer feedback or reviews into an organized summary spreadsheet.
ASEAN Perspective
Lutra AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Lutra AI is an agentic automation platform that, instead of drag-and-drop boxes, takes natural-language instructions and writes small programs to execute multi-step workflows — data enrichment, research, email triage — across integrations like Google Workspace, Microsoft, Slack, and GitHub. The code-writing approach can yield more precise, repeatable results than purely conversational agents, and reusable Playbooks let you save and schedule routines.
It suits knowledge workers and ops teams comfortable describing tasks in plain English who want to automate repetitive data and research work. Caveats: as a newer entrant it is less proven than Zapier/Make for mission-critical pipelines, code-writing agents can still misinterpret intent so outputs need checking, and depth of integrations trails incumbents. Verified against Lutra's site and reviews. Primarily an app, with limited public developer API.
What people say
Lutra remains a small, independent product as of mid-2026: a Mountain View startup founded in 2023 by ex-Google Brain engineer Jiquan Ngiam and Bo Zhi See, with roughly $3.8 million in seed funding from Coatue, Maven Ventures and Hustle Fund. There has been no acquisition or shutdown, but it is still very much a seed-stage tool, and the public review footprint reflects that — most coverage comes from AI-tool blogs and directories rather than large volumes of verified enterprise reviews on G2 or Capterra.
What reviewers consistently like is the core idea executed well: you describe a workflow in plain English and Lutra writes and runs actual code behind the scenes, rather than making you wire up a visual flowchart. Testers repeatedly single out the Gmail-plus-Google-Sheets combination — extracting structured data from email threads, enriching rows in a spreadsheet with web research, and drafting replies — with one 2026 hands-on review claiming ten-plus hours saved per week on data enrichment and email triage. Because the output is code, workflows tend to be more repeatable and inspectable than typical prompt-based agents.
The complaints are equally consistent. Credits burn down fast on the entry plans, and heavier users find themselves pushed toward contact-sales pricing quickly. There is a real learning curve in figuring out how to phrase tasks so the agent builds the right workflow, and reviewers who want a simple visual automation builder are usually pointed back to Zapier or Make instead. The connector catalogue is also narrower than the big automation platforms.
Lutra genuinely fits sales and recruiting operators, founders and RevOps folks who live in Gmail, Sheets and a CRM and have messy, semi-structured data work to automate. Teams needing hundreds of app integrations, mature admin controls or a large peer-review base to point at should treat it as a promising but early bet.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Lutra AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Lutra AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Lutra AI directly →
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