IQVigilant makes AI a first-class citizen of your application. Its deterministic agents don't hallucinate and don't guess — and by running reviewed, business-curated and approved plans alongside open-ended generation, they sharply cut AI token usage and your total cost of ownership.
A live tour of IQVigilant capabilities
Today's Python frameworks bolt AI on as an afterthought — or force you to write enterprise UI in Python. Both hit a wall the moment you need real, concurrent, AI-driven internal tools.
The established Python web frameworks are monolithic, and their ORMs — historically powerful — now feel dated against the type-safe, async-first brilliance of SQLAlchemy 2.0 + Pydantic. Pinning modern, highly concurrent AI tools onto them often feels like strapping a jet engine to a horse-drawn carriage.
The newer "write your frontend in Python" tools are great for fast prototyping — but the moment you need complex, enterprise-grade UI — multi-row selection, WYSIWYG canvases, a real component library — they hit a brick wall.
Out of the box: natural-language AI, dynamic routing, JSON-backed WYSIWYG page, journey and business-rule builders, and deterministic, agentic and hybrid AI agents. Here is why a developer — or an enterprise buyer — chooses IQVigilant.
The biggest barrier to enterprise AI is fear — of hallucinations, of agents touching production data, of data leakage. IQVigilant lets you choose your safety level — from fully deterministic plans with zero LLM at runtime, to hybrid agentic execution, to full probabilistic exploration. Your enterprise gets safer AI at a far lower total cost of ownership: fewer tokens burned, no data leakage, and no agent touching production data unsupervised.
Setting up AI analytics tools takes weeks of data engineering. IQVigilant reads your data model's metadata — no hallucinations, no guessing — and even connects read-only to external databases, and to documents like Word files, spreadsheets, PDFs and CSVs, in real time. Users ask questions in plain language and get beautiful charts and dashboards instantly.
Developers are tired of fighting synchronous ORMs and messy templating when building interactive, concurrent AI apps. FastAPI + SQLModel / SQLAlchemy 2.0 (async) + React / Ant Design, with SQLAdmin and auth built in, is exactly what modern teams want to write in.
Natural-language AI, dynamic routing, JSON-backed WYSIWYG page, journey and business-rule builders, and deterministic, agentic and hybrid AI agents that query, chart, analyze and act — out of the box. We aren't selling an ORM wrapper. We're offering you the ability to build AI-native, production-ready apps without hitting the enterprise-grade app wall, with the speed of no-code authoring and the power and ownership of pro-code.
Each is production-ready out of the box and authorable without code. Dive into any one to see how it works.
The biggest barrier to enterprise AI is fear — of hallucinations, of agents touching production data, of data leakage. IQVigilant lets you choose your safety level — from fully deterministic with zero LLM at runtime, to hybrid, to full probabilistic exploration. Safer AI at a far lower total cost of ownership.
Learn more →Ask questions in plain language and get tables, charts and dashboards built from your data's metadata — across your own database, read-only external databases, and documents like Word, spreadsheets, PDFs and CSVs.
Learn more →A drag-and-drop WYSIWYG page builder and a multi-step user-journey engine — enterprise UI and guided flows composed at runtime, without touching code.
Learn more →Declarative formulas, inferences, action-enablers and constraints — enforced inside your DB transaction with a safe, AST-restricted evaluator. No code, no DDL.
Learn more →Natural Language & AI Agents — free for 1 user, then $99/month (8 users included, $10/user/month after). Personalization & Dynamic Rules available separately. Each license is scoped to your installation.
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