Arcus Strategy AG
R&D Division

RESEARCHTHATBECOMESPRODUCT.

Applied AI, emerging technologies, and rapid prototyping. From concept to validated product.

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R&D Approach

01/ Our Approach

We explore emerging technologies, build working prototypes, and validate them with real data before committing to production.

Our R&D practice spans applied AI, data engineering, IoT, and product design, always driven by a clear hypothesis and measurable outcomes.

We bridge the gap between academic research and market-ready products, turning deep-tech capabilities into competitive advantages.

Research Capabilities

02/ Research Capabilities

EXPLORE.

Applied AI & Machine Learning

From computer vision to natural language processing, we research, prototype, and validate AI systems that solve real business problems.

Emerging Technologies

IoT, edge computing, digital twins, and spatial intelligence. We evaluate and integrate technologies before they become mainstream.

PROTOTYPE.

Rapid Experimentation

Hypothesis-driven development. We build working prototypes in weeks, not quarters, testing assumptions with real data and real users.

Technical Feasibility

Before committing to a full build, we validate architectures, benchmark performance, and stress-test critical assumptions.

VALIDATE.

Data-Driven Decisions

Every prototype generates measurable outcomes. We instrument, test, and iterate until the data confirms product-market fit.

Research-to-Product Pipeline

Proven prototypes transition into production-grade products. Our R&D pipeline feeds directly into engineering and deployment.

NEURAL NETWORK
DESIGNBUILDTESTLEARNCYCLEITERATION CYCLE
82%67%DATA VALIDATION
03/ Research Domains

What we
research.

01
01

AI & Computer Vision

Object detection, image classification, and visual inspection systems trained on real-world data for industrial and commercial applications.

  • Custom model training & fine-tuning
  • Real-time inference pipelines
  • Visual quality inspection
  • Natural language processing
02
02

Data Platforms

Scalable cloud architectures, real-time pipelines, and analytics dashboards that turn raw data into actionable intelligence.

  • Real-time data pipelines
  • Cloud-native architectures
  • Analytics & visualization
  • Data lake design
03
03

IoT & Edge Systems

Sensor networks, embedded computing, and device management for environments where latency and reliability are non-negotiable.

  • Sensor network deployment
  • Edge compute optimization
  • Device management platforms
  • Protocol design & integration
04
04

Product Innovation

New product concepts from ideation through validation. We build internal products and help clients bring deep-tech ideas to market.

  • Concept validation
  • MVP development
  • Market-fit testing
  • Technology scouting
04/ How We Work

From question
to product.

STEP 01

Hypothesize

Define the research question and success criteria. Every project begins with a clear hypothesis, measurable goals, and a timeline for validation.

STEP 02

Build

Rapid prototype in weeks, not quarters. Working software, real data, and tangible outputs from the first sprint. No slide decks, no vaporware.

STEP 03

Measure

Instrument everything. Benchmark against the hypothesis. Compare predictions to observations. Let the data tell you what works and what doesn't.

STEP 04

Iterate

Refine or pivot based on evidence. Each cycle sharpens the product, improves the model, and narrows the gap between prototype and production.

05/ Research in Production

Products born from R&D.

Every product we ship started as a research hypothesis.

01
Computer Vision / IoT

RoadPulse

An AI-powered road monitoring platform built entirely in-house. Proprietary computer vision models detect and classify pavement defects in real time from standard dash-mounted cameras.

  • Developed proprietary CV models for real-time pavement defect detection
  • Built the full sensor-to-cloud data pipeline processing millions of road frames
  • Architected the analytics platform integrating satellite, mobile, sensor, and fleet data
  • Currently piloting with municipalities in the United States
02
Industrial IoT / Predictive AI

ArcusSense

An industrial IoT monitoring product for the manufacturing sector. Predictive maintenance models trained on real factory telemetry, reducing unplanned downtime by detecting anomalies before failures occur.

  • Designed the sensor data ingestion pipeline for multi-factory deployments
  • Built predictive maintenance models trained on real industrial telemetry
  • Created the monitoring dashboard with real-time alerts and trend analysis
  • Developed the product positioning and go-to-market strategy for B2B industrial buyers

From hypothesis
to product.

We explore where others see uncertainty.

We prototype where others write reports.

We ship where others stay in the lab.

Curious how
we can help?

Zurich, Switzerlandcontact@arcusstrategy.com