Vision RECap

Vision RECap scales CRE risk intelligence for 100+ insurer profiles using Google Cloud

Results on Google Cloud
  • Supported Vision RECap to compress pre-renewal work on an 84-asset portfolio from 500 hours to 2 days with Google Cloud infrastructure

  • Slashed per-asset extraction from 1 day to 10 mins using Gemini API workflows

  • Cut AI review times to three mins using Gemini

  • Governed role-based access for 100+ insurer profiles using IAM

  • Accelerated analytics across $9.6B+ assets using BigQuery and Data Studio

Vision RECap built Remy AI, a bespoke data migration tool, with Gemini, cutting renewal prep from 500 hours to 2 days.

Overcoming the friction of unstructured data in commercial property insurance

Dashboard UI design concept featuring property listings, search tools, and an interface layout

Vision RECap, an AI-powered Commercial Real Estate Risk Intelligence platform, is designed to transform fragmented property, operational, and insurance data into trusted, actionable intelligence. Built specifically for asset owners, brokers, and insurers, the company establishes a shared digital ecosystem that replaces document-heavy administrative workflows with a unified single source of truth.

Evaluating risk across commercial real estate has historically required retrieving, verifying, and reconciling unstructured data buried across 6 to 10 distinct files per asset—including engineering reports, valuations, and insurance schedules, in some cases, up to 100 pages each. Information gaps, conflicting property figures, and evolving hazards like lithium battery risks introduced version control challenges and operational friction. Manual data collection is at times extraordinarily labor-intensive: onboarding an 84-asset portfolio demanded 1,500 hours during initial setup and 500 hours for annual updates, while evaluating a single property consumed an entire day.

To eliminate this operational friction at industry scale, Vision RECap incorporated Google Cloud for its architectural stability, long-term scalability, and cohesive data-to-AI suite.

We chose Google Cloud because we felt it offered a more stable, scalable overarching infrastructure framework to support our long-term vision. Through collaborating with Spaceman Consulting, we can leverage Google’s toolkit to solve our clients’ complex data challenges.

Troy Bates

Managing Partner, Vision RECap

Partnering with Spaceman Consulting, Vision RECap recognized that Google Cloud provided an intuitive deployment framework, enterprise-grade security governance, and the advanced multi-modal capabilities required to turn unstructured property documents into structured risk intelligence.

Orchestrating an AI-enabled pipeline for automated document intelligence

Dashboard UI design featuring ‘My Assets’ in the pipeline

At the core of Vision RECap’s platform is its proprietary AI engine, Remy AI, powered by Gemini API and Gemini. Unstructured asset documentation—including engineering surveys, valuations, and compliance documents—are ingested and managed securely within Cloud Storage. Rather than relying on rigid custom code or pre-splitting multi-page files, the engine leverages Gemini’s native multi-modal capabilities to analyze text, diagrams, and multi-format layouts concurrently across large word, spreadsheet, and PDF documents.

Gemini’s built-in multi-modal capabilities natively process image, text, and unstructured data across 100-page property documents. Google Cloud provides a simplistic framework that makes it easy to deploy, monitor, and yield insights from BigQuery.

Adrian Chu

Co-founder and CEO, Spaceman Consulting

Achieving precise extraction across diverse document formats required a specialized architectural approach. Vision RECap and Spaceman Consulting co-developed a comprehensive 50-page AI contextual framework, translating decades of domain expertise into structured prompt logic. Extracted risk, operational, and compliance parameters are routed into Cloud SQL and BigQuery for portfolio analytics, feeding interactive dashboards in Data Studio. Application microservices scale dynamically across Cloud Run and Google Kubernetes Engine.

Data integrity and underwriting compliance remain paramount, prompting Vision RECap to integrate a dedicated human-in-the-loop workflow directly into the pipeline. 

This workflow helps manage AI hallucination risks by enabling domain experts to validate AI-generated outputs before they are used in validation of CRE asset data, management of risks or incidents, then ultimately combining into insurance workflows. At the enterprise governance layer, Identity and Access Management (IAM) enforces granular, role-based access controls, across asset owners, brokers, and more than 100 insurer profiles, helping maintain appropriate data access across the ecosystem.

Empowering CRE stakeholders with rapid insights and proactive risk management

Dashboard UI design featuring ‘Real Time Insights’

Vision RECap dramatically accelerated portfolio onboarding and data processing speeds by building Remy AI on Google Cloud. Initial document extraction times reduced significantly, in many scenarios, from an entire day down to just 10 minutes per asset, while AI contextual review times dropped from 15 minutes to 3 minutes (on average). For an 84-asset portfolio, annual updates that previously required 500 manual hours were compressed into just two days.

This massive efficiency gain reclaims valuable operational capacity for brokers and asset owners, shifting their focus from tedious spreadsheet administration to high-value strategic advisory, capital preservation, and proactive risk selection. With over $9.6 billion in commercial real estate assets represented on the platform and more than 100 insurer profiles onboarded, Vision RECap enables transparent, evidence-based underwriting. The platform provides real-time risk recommendations and mitigation progress, helping insurers make better-informed decisions around pricing, terms and conditions.

Looking ahead, Vision RECap is deepening its Google Cloud integration to deploy predictive risk modeling and automated capital forecasting.

With our AI tool on Google Cloud, a process that used to take a full day can now be completed in minutes. We are elevating industry thinking from reactive manual administration to proactive risk management and evidence-based decision-making.

Troy Bates

Managing Partner, Vision RECap

Backed by Spaceman Consulting, the company is looking to use this cloud-native architecture as a launchpad for international expansion into primary commercial real estate markets across the US and UK.

Vision RECap is an AI-powered Commercial Real Estate Risk Intelligence platform that transforms unstructured property, risk, and insurance data into trusted, actionable insights for asset owners, brokers, and insurers.

Industry: Financial Services / Insurance

Location: Australia

Products: Gemini, Gemini API, Cloud SQL, BigQuery, Cloud Storage, Cloud Run, Google Kubernetes Engine, Data Studio, IAM


About Google Cloud partner – Spaceman Consulting

Spaceman Consulting is a Google Cloud partner specializing in cloud architecture, AI enablement, data engineering, and managed services to accelerate enterprise digital transformation.

Partenaires Google Cloud
  • Spaceman
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