CompanyAboutformerly Bridge AI

We build the layer agents have to survive.

Webzero is agent infrastructure for banking, insurance and financial services. We simulate the agents your customers already send, score what they leave with, and rebuild the surfaces that lose them, on your stack, under your change process.

Infrastructure companies earn trust twice: once for the measurement, and again for the evidence behind it.

Webzero is the infrastructure our earlier research made necessary.

We started as Bridge AI, working on one narrow question: what changes when an AI agent, not a person, is the party working through a regulated digital journey. That work became a body of research on agent readiness, on how agents actually interact with financial interfaces, and on where digital journeys lose them.

The findings kept pointing past advisory work. Measuring a property is only useful if the surfaces underneath it can be rebuilt, re-run and watched as they drift. That is a product, and a product needed a name that says what it is. Webzero is the same company, the same team and the same research line, now shipping as infrastructure.

Webzero, formerly Bridge AI. Every award, program, case study and paper credited to Bridge AI is ours.

Origin · Bridge AI

Agent readiness as a research problem

Fieldwork on how agents read, misread and abandon BFSI journeys, and on what the interface never told them.

Measurement · WARI

One governed number for readiness

The failure taxonomy became an index a board and an engineering backlog can both act on, with the trajectory evidence attached.

Now · Webzero

Simulate, score, rebuild, monitor

The practice shipped as infrastructure: a frozen benchmark fleet, an action surface your engineers own, and drift watched between releases.

Featured In & Recognized By

Selected into the Google for Startups × Antler Immersion Program 2026 (top 25), the LeadHerShip program by Aditya Birla Capital Limited, the E2B Startup Program and the Sarvam Startup Program.

Google for Startups × Antler
Selected into the Top 25 · Google for Startups × Antler Immersion Program 2026
Aditya Birla Capital
Selected into the LeadHerShip program by Aditya Birla Capital Limited
E2B
Selected into the E2B Startup program
Sarvam AI
Selected into the Sarvam startup program

Four positions we have not changed.

They were the argument of the research and they are the argument of the product. Each one costs us something commercially, which is how we know we mean it.

01

The probe must be frozen

A score you can move by tuning the agent measures the agent. Our fleet and task library are versioned and frozen between runs, so a rise means the property got better.

02

Visibility is not readiness

Being found is the cheapest layer and the one most often already solved. The loss sits in identity, conditional forms, third-party hand-offs and outcomes never returned to the caller.

03

Humans stay in the decisions

Agents gather, verify and prepare. Consent, confirmation and irreversible action belong to people, and the surfaces have to make that boundary explicit.

04

No client scores published

We do not publish client readings, journeys or trajectories, including on this site. The model and weightings are disclosed under engagement instead.

A small team, inside regulated change processes.

We work the way infrastructure has to be worked on: nothing deployed by us, nothing measured we cannot reproduce, and no finding delivered without the run behind it.

01 · EVIDENCE
Every claim ships with its run.

A score with no trajectory behind it is an opinion. Clients get the logs, the task library version and the failure point, not a slide.

02 · RESTRAINT
Permitted, rate-bound, reversible.

The fleet stops before anything irreversible. If a policy would refuse our agent, that refusal is the finding, not an obstacle to route around.

03 · HANDOVER
The client owns the work.

Findings arrive as changes to your own surfaces, sized for your sprint cadence. We can build alongside your team or hand the backlog over.

Come build the layer, or send us a property to test.

We hire slowly and specifically, and we scope engagements the same way. Both conversations start the same place.