Case Study

Tylo AI

On-Demand R&D Research Platform

A Bubble.io platform delivering affordable, on-demand technology research for R&D and innovation teams. Backed by a team of scientists and data engineers, it integrates multiple AI and LLM tools and presents findings through an interactive graph-based display of research data.

Industry
AI & SaaS Products
Stack
Bubble.io · Bubble.io · Multiple AI/LLM integrations
Languages
English
Region
International
Live site
www.tylo.ai

The challenge

Tylo AI set out to make serious technology research affordable and on-demand for R&D and innovation teams — work normally delivered as a slow consulting engagement. The product is backed by scientists and data engineers, so the software had to be worthy of the expertise behind it without taking a consulting-length build cycle to ship.

Two things made it non-trivial. It depends on several AI and LLM tools rather than one model, and the output is a body of connected findings, not a block of prose. Research that arrives as an undifferentiated wall of text is not usable by an innovation team.

Bubble.io for a product that had to move

We built the platform full-stack on Bubble.io: database schema, workflow logic, interface and integrations. For a product still finding the shape of its offer, that means a change in how a research request is structured can ship in days rather than in a release cycle.

The data model was designed around research requests and their results, so new research types could be added without unpicking the schema.

Multiple AI and LLM tools, one pipeline

Rather than wiring the product to a single model, we integrated multiple AI and LLM tools behind the research workflow, so each stage of an investigation can use whichever tool suits it.

That also protects the product commercially: models change constantly, and an architecture that assumes one vendor ages badly.

Making research readable

The graph-based display turns the output into something an innovation team can actually navigate — relationships between findings shown as structure rather than buried in paragraphs.

It is the part of the build that changes the product from a report generator into a research tool.

The outcome

Tylo AI runs as a live Bubble.io product: research requests in, multi-model AI processing, and findings presented through an interactive graph display.

It is the flagship of our AI and LLM integration work, alongside Mocki and InkGenX, and the build we point to when a client wants an AI product shipped rather than prototyped.

Project highlights

What this build actually contains — facts from the project, not projected results.

  • Full-stack Bubble.io build — database, workflows, interface and integrations
  • Multiple AI and LLM tools integrated behind one research pipeline
  • Interactive graph-based display of research data
  • On-demand research workflows for R&D and innovation teams
  • Architecture designed so new research types and models can be added without a rebuild

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