Google Cloud Software / SaaS United Kingdom

Conscium, Artificial Labs, and OQC

IT Operations Automation · Real-time Analytics · Risk Management

Conscium, Artificial Labs, and Oxford Quantum Circuits (OQC) used Google Cloud to manage thousands of LLM requests efficiently, automate insurance claims, and accelerate quantum research, solving immediate technical challenges and foundations for sustainable innovation. These companies seek competitive advantages in rapidly evolving markets where innovation cycles continue to accelerate.

Read the original story Explore all use cases

This solution has the potential to scale up much higher. You could imagine a 24x7 marketplace where underwriters and brokers have their army of agents that talk to each other.

Reported impact

Business outcome

Improved the speed and reliability of Conscium's AI evaluation pipeline, helping teams access results and insights more quickly; Enabled Artificial Labs to showcase the future of insurance coordination through AI agents powered by Google Cloud; that move risks toward quote readiness with humans firmly in control; Cut research timelines and accelerated the pace from theoretical quantum computing concepts to practical...

Solution

Conscium deployed BigQuery as the foundation of their data analytics platform, enabling it to process terabytes of information in real time. This implementation transformed its data visualization capabilities, allowing clients to interact with dynamic dashboards that update instantly as new data arrives. Artificial Labs built its insurance claims automation system on Gemini Enterprise Agent Platform, creating machine learning models that recognize patterns in complex insurance documentation. This system now processes most claims without intervention, reducing errors while accelerating payments to policyholders. OQC accessed Google Cloud's high-performance computing resources to run hybrid quantum-classical algorithms. Its implementation enabled iterative development and refinement of quantum algorithms and provided a platform for benchmarking against classical approaches, executed on both simulators and OQC's own quantum computing hardware.

Data flow

stored or unified in BigQuery, orchestrated via Gemini Enterprise Agent Platform, and surfaced through Gemini Enterprise, Gemini

Solution architecture

4 components · 3 layers

Storage
- BigQuery Stores and queries the analytics and AI-ready datasets that power the workload.
Serving
- Gemini Enterprise Provides a secure enterprise environment for teams to use Gemini with governed data access.
- Gemini Powers natural-language reasoning, summarization, generation, or assistance inside the workflow.
Orchestration
- Gemini Enterprise Agent Platform Provides governed enterprise access to Gemini models, agents, and regional controls.

Architecture clues

Gemini Enterprise Agent Platform BigQuery Gemini for Google Cloud
Improved the speed and reliability of Conscium's AI evaluation pipeline, helping teams access results and insights more quickly

Evidence from the source

Cut research timelines and accelerated the pace from theoretical quantum computing concepts to practical applications

Enabled Artificial Labs to showcase the future of insurance coordination through AI agents powered by Google Cloud

Improved the speed and reliability of Conscium's AI evaluation pipeline, helping teams access results and insights more quickly

Supported startups in expanding their businesses

that move risks toward quote readiness with humans firmly in control

Transparency Evidence & methodology 70/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value70/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence77%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance0/10
The publication date has no documented provenance.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Google Cloud
Conscium, Artificial Labs, and OQC customer story

First-party
https://cloud.google.com/customers/oqc-conscium-artificial-labs

Source type
Vendor-published customer story
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes

Date evidence

First archived Jun 13, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
Open date source
Sitemap last modified May 19, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Similar use cases

See all like this

Alibaba Cloud Archived · Jun 9, 2026 A2E Software / SaaS United States As a platform aggregating 20+ AI models for video generation, A2E.AI faces significant technical challenges. Running multiple inference models — video synthesis, face swapping, voice cloning, lip-sync, and image… IT Operations AutomationReal-time Analytics Alibaba Cloud Model Studio · Qwen

Alibaba Cloud Archived · Oct 24, 2025 X-Verse Technologies Software / SaaS Asia Pacific Operating in Asia with an international footprint covering Greater China, ASEAN, and ANZ, X-Verse faced the challenge of finding a reliable cloud service partner to ensure seamless connectivity across these diverse… IT Operations AutomationReal-time Analytics Block Storage · Elastic Compute Service (ECS) · Object Storage Service (OSS)

AWS Sep 18, 2023 CyberGRX Software / SaaS Denver The legacy ML modeling solution for CyberGRX took 8 days to complete predictive modeling for all the companies in its database — 150,000 at the time. Four engineers were required to monitor and manage it, which added… CyberGRX reduced the runtime of its solution from 8 days to 1 hour for its quarterly modeling, improved staff… Application RefactoringIT Operations Automation AWS Lambda · AWS Step Functions · AWS Step Functions Distributed Map