Building the AI Financial Intelligence Company for Africa
Evermount is the AI financial intelligence and trading infrastructure company for Africa. We build systems that understand markets, manage risk and execute capital — and we apply that platform to Evermount Capital as one product, not the whole firm.
Our Story
Founded in 2023, Evermount was created to make sophisticated financial infrastructure more accessible, programmable and scalable.
Financial markets are complex, fragmented and technically difficult to build on. We combine data engineering, quantitative research, machine learning and execution technology so institutions and developers can build on a common foundation.
The company is built from Africa, for African and global markets, as capabilities and licenses allow.
Our Mission
Make sophisticated financial infrastructure more accessible, programmable and scalable.
Our Vision
A financial ecosystem where institutions, developers and researchers can build sophisticated market applications on reliable infrastructure.
Our Technology Approach
Systematic & Data-Driven
We design systems around data quality, research evidence and measurable risk — not discretionary fund marketing.
API First
Financial infrastructure should be programmable. APIs, streaming and integrations are first-class.
Risk First
Risk controls should be embedded directly into systems, including pre-trade and real-time monitoring.
Our Principles
Infrastructure First
Build reliable foundations before financial applications.
Data Driven
High-quality financial infrastructure begins with high-quality data.
Globally Oriented
Build infrastructure that can operate across markets and jurisdictions.
Technology Driven
Use modern engineering, quantitative methods and AI to solve complex financial problems.
Technology & Innovation
At the heart of Evermount is a technology platform for market data, quantitative research, intelligence, risk and execution.
We use machine learning, statistical models and modern software engineering. Specific performance characteristics are not published as marketing statistics.
Our technology stack includes:
- Machine learning models trained on historical market data
- Real-time data processing and analysis infrastructure
- Automated risk management and portfolio optimization systems
- Systematic, low-latency electronic trading infrastructure
- Comprehensive backtesting and validation frameworks
Meet Our Founders
Daniel Mawioo
CEO, Co-Founder & Low-Latency Systems Engineer
Former quantitative researcher and portfolio manager with extensive experience in systematic trading strategies, factor investing, and risk management at leading hedge funds. Daniel brings deep expertise in quantitative finance and strategic leadership to Evermount.
Evans Kipngetich
Chief Data Officer & Co-Founder
Expert in machine learning, alternative data, and large-scale data infrastructure. Previously led quantitative research teams developing predictive models for financial markets. Evans drives our data science and technology innovation initiatives.
Tony K.
Head of Quantitative Research
PhD in Financial Engineering with deep expertise in stochastic modeling, statistical arbitrage, and portfolio optimization. Published researcher in quantitative finance. Tony leads our research team in developing proprietary trading strategies.
Bonface Kuria
Head of Security & Infrastructure
Cybersecurity and network engineering specialist with a background in banking IT infrastructure. CCNP and CCSA certified, with deep expertise in network security, Linux systems, and DevOps. Bonface leads security and infrastructure for Evermount's trading systems.
Why Choose Evermount
Proven Expertise
Our team combines experience in quantitative finance, data science and systems engineering.
Technology Driven
We invest in research and engineering so infrastructure stays programmable and reliable.
Research-Driven Approach
Quantitative methods and data quality sit at the center of the platform.
Globally Oriented
Infrastructure designed to operate across markets and jurisdictions as capabilities allow.
"We're building the data, research, intelligence, risk and execution infrastructure institutions and developers can build on."