Validate the assumptions, price the risk, and earn the confidence of the insurers, lenders, and investors backing African infrastructure.
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Data Source · VALIDATED
3.255 SOURCES
Expected Loss
2.4 %
Scopius is a risk platform for African infrastructure finance. We unite political, macro, climate, construction, and credit risk in one place, validating every developer assumption, pricing every exposure, and anchoring each score to auditable, reproducible data. The result: risk that insurers, lenders, and investors can actually trust.
Validate every developer assumption before it anchors a financing decision
Unite political, macro, climate, construction & credit risk in one platform
Run stochastic scenario analysis across every correlated risk domain
Anchor every score to auditable data lineage, reproducible on demand
Scopius continuously tracks political, macro, climate, and security signals. Early-warning triggers re-grade and re-price exposure—as conditions change.
Scopius brings analytical rigor to infrastructure risk, turning developer assumptions into a validated base case, decision-grade for capital. From assumption validation to stochastic pricing—this is how uncertainty becomes a bankable structure.
Validate developer assumptions into an evidence-backed base case.
Stochastic scenario analysis across every correlated risk domain.
Rating-style grades and pricing, ready for the credit committee.
Rating-agency-inspired scorecards, reproducible from an auditable evidence base
Pricing, PD, LGD, and DSCR outputs ready for credit and underwriting committees
Every score traces to its evidence, confidence, gaps, and adjustments
Captures how risk cascades across political, macro, climate, construction, and credit
From a single project to a full portfolio—decision-grade risk intelligence at any scale
Managing Partner
Evans leads Bayes Consulting, specializing in emerging technologies for energy and climate. As Managing Partner, he oversees strategy, business development, and transformative projects.
He holds a BSc in Actuarial Science (University of Nairobi), a diploma in Data Science and Machine Learning (WorldQuant University), and is pursuing an MSc in Sustainable Energy Transitions (Strathmore University).
AI/ML Engineer
Amos is an AI/ML Engineer at Bayes Consulting, advancing its mission to be Africa's leading innovator in sustainable energy. He holds a degree in Electrical Engineering from Jomo Kenyatta University.
Passionate about data, he employs AI/ML open and closed-source models to solve energy challenges, accelerate just energy transitions and unlock climate financing.
Software Engineer
Selah is a Full Stack Developer with 5+ years of experience crafting innovative software solutions in the sustainability sector. Skilled in front-end and back-end development, Selah leverages technologies such as React, Node.js, and MongoDB to build scalable and user-friendly applications.
Selah holds a BSc in Computer Science from Catholic University of Eastern Africa.
