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Our products / DataCraves

DataCraves

AI workflow concepts for data and analytics teams: request triage, SQL assistance, pipeline monitoring and reporting. Explore the agent catalogue and use cases, then discuss a tailored pilot. The public site is a catalogue and demo-request surface.

DataCraves live product interface
Live-site snapshot, September 2026. Designed, built and operated by Tvaris Labs LLP.

Inside the implementation

The workflow and the engineering.

Flask, Jinja, SQLAlchemy, Google OAuth, Azure App Service

01

Discover

An agent catalogue, use-case pages and dashboard examples let data teams start with a concrete workflow rather than a generic AI brief.

02

Qualify

Demo enquiries connect the problem and its data constraints to a scoped pilot. The public catalogue is not a claim that every listed agent is a self-service managed product.

03

Operate

Server-rendered pages keep the public surface lightweight. Authentication and payment scaffolding are separate from the enquiry journey.

What could this approach do for your team?

Start with your workflow, data boundary and delivery constraints. We will scope the first useful release and the checks it needs before production.

Talk to Tvaris Labs LLP