Where Capital Meets Engineering
Capital × Engineering A generalist consultancy rooted in aerospace engineering. Where deep engineering meets capital — forecasting engines, trading infrastructure, and industrial hardware built from first principles.
Consulting Specialties & Technical Capabilities Monarch AG provides first-principles systems engineering and financial technology advisory based in London, UK.
Quantitative & Algorithmic Trading Systems: Low-latency execution engines, sub-millisecond trading infrastructure, FIX protocol integration, Linux kernel tuning, and micro-structure order flow monitoring built with Rust and C++.Private Equity & Financial Forecasting Platforms: Automated portfolio intelligence, predictive forecasting engines, and data warehouse modernisation with Python, PostgreSQL, Snowflake, and dbt.Aerospace & Propulsion Telemetry: High-speed 10kHz DAQ test stand command systems, real-time Linux, EtherCAT instrumentation, and compressible flow simulation tooling.Industrial IoT & Hardware Engineering: Ruggedized PCB schematic design, CNC enclosure engineering, thermal FEA validation, and precision CAD manufacturing.01 PE Forecasting Suite + A unified forecasting and performance intelligence platform built for a mid-market private equity fund managing twelve portfolio companies across industrial, healthcare, and consumer verticals.
70% Reporting Overhead Reduction
+22% Forecast Accuracy Improvement
12 Portfolio Companies Integrated
< 2 weeks Time to First Insight
Active 14 weeks end-to-end
Next.js Python PostgreSQL Tailwind CSS scikit-learn Airflow Reduced manual reporting overhead by 70% and improved forecast accuracy by 22% within the first two quarters. The fund's operating partners now receive automated weekly briefs with exception-based flagging.
02 Trading Algorithm Suite + A ground-up rebuild of a proprietary trading desk's execution infrastructure, targeting sub-millisecond latency for mid-frequency systematic strategies across equities and futures.
15ms → <1ms Latency Reduction
+14% Net PnL Increase
62% Slippage Reduction
99.97% Uptime (12 months)
Internal 10 weeks
Rust C++ ZeroMQ FIX Protocol FlatBuffers Linux kernel tuning Execution latency reduced from 15ms to under 1ms, resulting in a 14% increase in net PnL for the strategy. Slippage dropped by 62% on average across all instruments.
03 PCB + Enclosure Design + End-to-end hardware design for a ruggedised industrial sensor node — from schematic capture and PCB layout through to CNC-machined enclosure and thermal validation.
500 Units Deployed
0 Hardware Failures
-34% Cost vs Budget
-40°C to +85°C Operating Range
Deployed 8 weeks to production
Altium Designer SolidWorks CNC Machining 3D Printing Thermal FEA Successfully deployed 500 units in sub-zero environments with zero hardware failures reported over 12 months. Unit cost came in 34% below the client's budget target.
04 Propulsion Telemetry + A high-fidelity telemetry and command system for a liquid-propellant rocket engine test stand, supporting 200+ sensor channels at 10kHz sampling rates.
100.0% Data Integrity
10 kHz Sampling Rate
< 1 µs Sync Accuracy
200+ Test Channels
Active 12 weeks
C++ EtherCAT Real-time Linux Next.js Python gRPC Achieved 100% data integrity across 50+ hot-fire tests. Reduced post-test data processing time from 4 hours to 5 minutes through automated analysis pipelines.
05 Mechanical Watch Line + A limited-edition mechanical watch line featuring custom movement modifications and bespoke dial components — managed from initial CAD through final assembly and packaging.
50 Units Produced
48 hours Sell-Out Time
2 major publications Press Features
+4/-2 s/day Movement Accuracy
Completed 16 weeks
CAD Precision Engineering Horology Product Design Wire EDM Micro-CNC Sold out the limited run of 50 pieces within 48 hours of launch, establishing the brand's technical credibility. The collection was featured in two major horological publications.
06 Data Platform Overhaul + A full data infrastructure modernisation for a manufacturing firm — replacing fragmented legacy systems with a centralised warehouse and real-time operational dashboards.
12% Operational Waste Reduction
Real-time Data Freshness
2 FTE → 0.3 FTE ETL Maintenance
40+ Legacy Scripts Replaced
Active 12 weeks
PowerBI Azure Data Factory Snowflake dbt Azure DevOps Enabled real-time visibility into production line efficiency, leading to a 12% reduction in operational waste. ETL maintenance effort dropped from 2 FTEs to 0.3 FTE.