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DecisionBox
Autonomous AI discovery on your data warehouse
About DecisionBox
DecisionBox is an open-source, autonomous AI data discovery platform that connects to your data warehouse and runs AI agents to write and execute SQL queries, validate findings, and deliver ranked recommendations without human prompting. The platform is designed for teams that need actionable insights without waiting for manual analysis. It supports major warehouses like BigQuery, Redshift, Snowflake, Postgres, and more, and offers multi-LLM support including Claude, OpenAI, and Gemini. Key features include full transparency (every query and reasoning step logged), independent validation of all numbers, domain packs for industry-specific intelligence, self-healing SQL for error recovery, and cumulative learning from previous runs. DecisionBox can be self-hosted or deployed in the cloud, with an AGPL v3 open-source license. AiDOOS enhances deployment and adoption by providing a platform for managing AI agents, ensuring scalability, and simplifying integration into existing workflows.
Challenges It Solves
- Data teams spend hours writing SQL queries to find insights manually
- Chatbots give conversational answers without verifying data accuracy
- Analysts struggle to scale discovery across large datasets
- BI tools require users to interpret dashboards rather than providing actionable recommendations
Screenshots
Use Cases
Marketing Analytics
Discover which channels, cohorts, and campaigns drive ROI without manual querying.
Sales & RevOps
Uncover why deals are lost and identify opportunities for improvement.
Product Analytics
Understand where activation breaks and improve user onboarding.
Data Team Ops
Clear exploratory backlog with overnight automated discovery runs.
Pricing
Custom pricing — built for your team
DecisionBox pricing is tailored to your organisation's size, integrations, and requirements. AiDOOS generates your proposal instantly — scoped & ready in seconds.
Key Features
AI agents that write and execute SQL autonomously to discover insights.
Every finding is independently re-queried against your warehouse to ensure accuracy.
Industry-specific intelligence that guides the agent on what matters.
Prioritized recommendations with target segment, expected impact, and steps.
Every SQL query, reasoning step, and decision is logged and visible.
Failed queries are automatically diagnosed and rewritten.
What Reviewers Say
What works well
- Autonomous discovery saves time by running unattended overnight.
- Validated insights reduce risk of hallucinated data.
- Open source transparency allows auditing and customization.
Common concerns
- Requires technical setup for self-hosting.
- Cloud managed version is still in waitlist.
Reviews
No reviews yet for DecisionBox
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Enterprise Readiness
Identity & Access
Data Security
SLA & Availability
Compliance & Portability
Integrations
Google BigQuery
DecisionBox connects to BigQuery to run autonomous, read-only SQL discovery queries and surface validated insights.
Amazon Redshift
DecisionBox integrates with Amazon Redshift (Serverless or Provisioned) via Redshift Data API for read-only analysis.
Snowflake
DecisionBox connects to Snowflake using role-scoped, read-only credentials and supports username/password or key pair authentication.
Anthropic Claude
Supports Claude as one of the multi-LLM options for autonomous reasoning and SQL generation.
OpenAI
Supports OpenAI models as an LLM backend for discovery and analysis.
Google Gemini
Supports Google Gemini via Vertex AI as an LLM option.
Amazon Bedrock
Supports Amazon Bedrock as a managed LLM provider for running discovery agents.
Docker
DecisionBox can be self-hosted via Docker Compose for quick deployment.
Governance & Compliance
EU AI Act
No data available
Data Processing Agreement
No data available
Sub-processors
No data available
Right to Erasure
No data available
Change Notifications
No data available
NIST AI RMF
No data available
AiDOOS Managed Deployment
Deploy DecisionBox in 72 hours
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
- Access to a supported data warehouse (e.g., BigQuery, Redshift, Snowflake)
- Docker environment for self-hosting (or managed cloud waitlist)
- Read-only credentials for the data warehouse
- Basic understanding of SQL and data schemas
Configuration Options
- Domain pack selection (gaming, social, ecommerce, or custom)
- LLM provider choice (Claude, OpenAI, Gemini via Vertex AI, Bedrock, or local Ollama)
- Warehouse connection settings (project, dataset, schema)
How DecisionBox Compares
| Product | AI & Analytics | Ease of Use | Enterprise Features | Pricing | Integrations | Mobile Experience | Quick Setup | Customer Support | Rating | Price/mo |
|---|---|---|---|---|---|---|---|---|---|---|
|
D
DecisionBox This product
|
Excellent | Good | Good | Excellent | Good | Fair | Excellent | Fair | — | $Custom/user |
|
MC
Monte Carlo
|
Good | Good | Excellent | Fair | Good | Poor | Good | Good | — | $Custom/user |
|
TS
ThoughtSpot
|
Excellent | Good | Good | Fair | Good | Fair | Good | Good | — | $Custom/user |
|
HX
Hex
|
Good | Excellent | Good | Good | Good | Fair | Excellent | Good | — | $Custom/user |
A Virtual Delivery Center for DecisionBox
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers DecisionBox
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists