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Jugg.ai vs LakehouseBox

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Jugg.ai compared with LakehouseBox
DetailJugg.ai logo Jugg.aiLakehouseBox logo LakehouseBox
What it doesStanding AI teams that run whole business functions around the clock Managed Apache Iceberg tables and hosted agents for AI to work with data
StageNot given Startup
FoundedNot given 2026
Based inNZ ES
Pricing modelFreemium Freemium
PricingFree: 200 turns, 1 running team, up to 5 agents. Pay as you go: US$20 buys 2,000 turns. Starter: US$29/month with 2 running teams, up to 15 agents, 5,800 agent turns monthly. Business: US$99/month with 5 running teams, up to 50 agents, 19,800 agent turns monthly. Company: US$399/month with 20 runnin Storage €0.10 per GB-month (5 GB free monthly), Compute €0.12 per CPU-hour (10 CPU-hours free monthly), AI tokens €2.50 per million (5 million free monthly). No request, ingress or egress fees.
Key features
  • Shadow mode for verification before live operation
  • Learns from documents, help centres and past tickets
  • Hard spending caps per team and job
  • Works with 102+ integrations
  • Kill switch to stop any team
  • Approval workflows for risky actions
  • Team memory and learning across jobs
  • MCP server and REST API for AI agents
  • Encrypted credential storage per connection
  • 26+ ready-made teams for different functions
  • Managed Apache Iceberg tables with automatic maintenance and backups
  • Multiple data ingestion methods including files, APIs, webhooks, and scheduled URLs
  • Query with DuckDB, Spark, Trino, Polars, or PyIceberg
  • Public data catalogs served over a CDN
  • Automatic spatial clustering for geometry tables
  • FTP, FTPS and SFTP support for file uploads from cameras and devices
  • Corporate sign-in and granular access control for organizations
  • Audit trail and activity log for organizational use
What makes it different
  • Teams learn from your actual business documents and past work, not generic templates
  • Shadow mode proves capability before autonomous operation
  • You bring your own model key and pay providers directly, no markup
  • Granular security controls: ask-before actions, credentials encryption, kill switches
  • Works with AI agents through MCP or REST API
  • Open table format: Apache Iceberg ensures your data remains portable and readable by any compatible engine
  • Agents keep what they observe, decide and do as persistent tables for learning across runs
  • Operated in Europe with data storage in Frankfurt and model inference in Paris
  • Pay only for what you use with no request, ingress or egress fees
  • Serverless platform with no servers or clusters to manage
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)02
Citation Flow (Majestic)1826
Referring domains (Majestic)532

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