FireFoundry Marketplace

FireIQ

Chat With Your Data

AI-powered conversational business intelligence. Query your databases in plain English, build interactive dashboards, and transform raw data into actionable insights.

• Natural language querying across 12+ database backends
• Powered by Data Access Service with semantic data dictionary
• Reusable functions for custom data transformations †
• Widget-as-a-Service for interactive BI dashboards
• Enterprise data governance and fine-grained access control
• Chat interface + data analysis application

Beta pricing available on request

AI Training Portal

AI-Driven Enterprise Training

Accelerate AI adoption across your organization. An enterprise training platform that teaches employees to use AI effectively, with structured learning paths, AI coaching, and management analytics.

• AI prompt coaching and tool recommendation bots
• Structured learning paths with skill-level assessments
• Governance compliance quizzes and certification
• Team challenges and success story sharing
• Admin portal with department analytics and progress tracking
• MS Teams integration for seamless enterprise deployment

FireFoundry Portal

Build Apps With Words

A self-hosted app builder and runtime powered by Virtual Workers. Non-technical employees describe what they need in plain language, a VWM-powered coding agent generates the app, and Portal hosts the result — all inside your FireFoundry infrastructure.

• Plain-language app creation — describe what you need, AI builds it
• VWM-powered coding agent generates both frontend (SPA) and backend (agent bundle)
• Self-hosted runtime — apps run inside your FireFoundry environment
• Iterative refinement — describe issues in plain language, the worker fixes them
• Full platform integration — generated apps can use Entity Graph, Broker, DAS, and more
• No engineering team required for internal tools

Beta pricing available on request

SMB Strategy Advisor †

Guidance That Knows the Business

A shared, multi-user advisor that helps small and medium-sized businesses understand their operating context, find the gaps in their planning, and work out what to do about them. It combines a structured model of the business with document-backed knowledge and industry-aware guidance, so advice reflects the company rather than being trapped in one person’s chat history.

• One shared, durable understanding of the organization — plans, documents, decisions, risks, operating context
• Surfaces the questions a business should be asking across every area it has to run
• Recommendations account for industry and cross-cutting traits: employer, handles customer data, multiple locations, regulated
• Knowledge is additive — new industries and playbooks arrive without redesigning the core
• An advisor, not an operator. It helps you think, plan, draft, review, and prioritize
• Exercises the full platform: shared context, knowledge retrieval, workflows, and a real web experience

In active development — preview available on request

ReviewIQ

Fraud Screening for the Dataverse Repository

Built with Harvard University (IQSS) for Dataverse, the world’s largest general-purpose research data repository. ReviewIQ screens submissions at publication time, resolving the clear-cut cases automatically and routing only genuinely ambiguous ones to a curator — inside the normal publish window, rather than holding a depositor behind a spinner.

• Clear-cut cases resolved automatically; only ambiguous submissions routed to human experts
• Human oversight preserved on every decision — curators act without switching tools or surrendering control
• A single curator can face ~100 submissions after a long weekend — most of a day’s work ReviewIQ is designed to absorb
• Validated against 200 historical submissions, in agreement with expert review, before launch
• A scalable foundation for the broader Dataverse community

In production with Harvard University (IQSS)

Sales CRM †

The CRM That Fills Itself In

CRM adoption dies on data entry. Reps will not maintain records that take longer to update than the deal takes to advance, so the pipeline drifts out of date and the reports built on it stop being worth reading. This one captures contacts, activities and deal updates from email and calendar automatically, then asks you to approve what it found.

• Contacts, activities and deal updates captured from synced email and calendar
• Suggest-then-approve — the agent proposes, a human confirms; nothing is written behind your back
• No pipeline-configuration project before you can log a deal
• Ask for what you need in plain language instead of building a report
• Built on FireFoundry, so it inherits the same governance, telemetry and identity as everything else you run

In design — early access on request