Company-based architecture
Each Company keeps its own configuration, prompts, context, tools, and data contracts cleanly separated.
AI assistants for real operations
AI assistants that work with your data, not generic answers.
IAToolkit connects SQL, documents, APIs, and tools so your teams can query, analyze, and execute real work with controlled business context.
- Connect operational databases, documents, and APIs.
- Model a Company: a business domain with its own rules, prompts, and tools.
- Deploy assistants for analysis, support, and real workflows.
Want to inspect the console first? Explore the Product Tour
What It Is
Build AI assistants connected to real business context.
IAToolkit helps teams create assistants that work over data, documents, and tools inside a real Company model, meaning a business domain with its own configuration and operating logic.
Structured intelligence layer
The assistant interprets intent, orchestrates context, and keeps answers aligned with business rules.
Built for trustworthy answers
Ground responses in SQL, documents, and controlled tools instead of asking the model to improvise everything.
How It Works
From data to operations in 3 moves
Connect your sources
Bring in SQL databases, internal documents, APIs, and domain context.
Model your Company
Define prompts, schemas, tools, branding, and business rules around a real operating domain.
Deploy and evolve
Put the assistant in front of users, validate workflows, and iterate with production feedback.
Demo
Explore a sample Company before you decide.
The demo lets you walk through the fictional company Northbridge Consumer Products so you can understand what the assistant sees, how the experience feels, and how the architecture translates into a real product.
- Functional assistant experience
- Business-shaped sample data
- A concrete example of the Company model
Proof
IAToolkit is already used in real work
From fintech operations to applied research, the product already supports cases with real data and domain context.
Maxxa
Used in production to query internal data, support day-to-day operations, and assist business workflows.
Neuroscope
Structured AI work in scientific research, with domain language, proprietary data, and specialized workflows.
Choose Your Path
Two ways to start, depending on your stage
Start with the open-source foundation to prove the first use case. Move up when you need an operating layer to sustain it.
Validate a first use case with full control.
MIT-licensed, self-hosted, and designed for technical teams who want to connect real data and learn by building.
- Open-source core
- One Company or operating domain
- SQL + basic RAG
- Custom Python tools
- Self-managed deployment
Take the assistant from pilot to production.
Add an operating layer to govern assistants, knowledge, and automation from one console.
- Console for prompts, RAG, SQL, and configuration
- Multi-Company support and hosted or self-hosted deployment paths
- Governance, access, and safer operations
- Pipelines and automation over data and documents
- Commercial support and continuous updates
Built From Practice
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