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Company

Provd builds the counterparty intelligence layer African P2P markets actually need.

Most crypto security products were built for smart contracts, DeFi exploits, and onchain risk. Provd is built for the messier layer where African P2P counterparty risk actually emerges: payment reversals, repeat offenders, desk-to-desk migration, and offchain coordination before funds move.

Category
Counterparty intelligence infrastructure
Primary users
Exchanges, wallets, stablecoin apps, and OTC desks
Decision point
Before a P2P trade is approved or released
Headquarters
Nairobi, Kenya
The Problem

African P2P counterparty risk is a pre-chain problem.

The highest-impact counterparty risk patterns in African crypto markets often happen before a blockchain transaction is ever broadcast. Deals are coordinated in Telegram, WhatsApp, and OTC channels, then settled through bank transfers or mobile money.

That creates a blind spot. A smart contract scanner cannot see a payment reversal pattern on M-Pesa. An onchain risk engine cannot recognize that the same operator was banned on one desk last week and resurfaced elsewhere today.

This is the gap Provd is built to close: turning fragmented counterparty signals into one reusable decision layer.

Risk Pattern 01
Payment reversal after release
Crypto is sent, then fiat is disputed or reversed through a banking or mobile money rail days later.
Risk Pattern 02
Serial migration across platforms
A fraudster loses one account, then opens a fresh one elsewhere with no shared memory between platforms.
Risk Pattern 03
Coordinated offchain networks
Multiple accounts reuse payment rails, devices, and identities to defraud users at scale while looking independent at first glance.
What We Build

One API for counterparty decisions before approval.

Provd gives risk and compliance teams a counterparty score, reason codes, and recommended action before a P2P trade is approved, released, or escalated.

Input
Identifiers + trade context
Wallets, hashed phones, hashed bank details, trade amount, rail, and desk context.
Intelligence layer
Federated intelligence graph
Linked disputes, repeat-offender history, partner-fed outcomes, and payment-rail patterns.
Output
Approve, review, or block
Fast scoring with explainable flags so teams can automate low-risk flows and review the rest.
Operating Principles

Built like infrastructure, not just marketing.

We score risk, not people
Our models focus on behavioral and relational signals like disputes, linked identifiers, payment reversals, and repeat patterns. We do not build demographic profiling systems.
False positives matter
A legitimate trader blocked in error is not a dashboard metric. It is a real product failure. We design for explainability, thresholds, and review workflows that teams can trust.
Privacy is part of the architecture
Identifiers are hashed before they leave partner infrastructure. Provd is built to learn from partner outcomes without requiring raw PII as the operating model.
Local context is the product edge
African P2P counterparty risk patterns are shaped by payment rails, messaging channels, and regional trading behavior. We build for that operating reality directly, not as an afterthought.
Company

Built in Nairobi for the rails that matter locally.

Provd was founded in Nairobi in 2026 by operators working across African fintech, crypto infrastructure, and machine learning. We are focused on the real operating conditions of African trading desks, not a generic global risk product with local copy pasted on top.

We build for the chains and rails that matter in-market, including BNB Chain, Tron, and Celo, alongside the offchain payment systems that shape real counterparty risk.

We are hiring across engineering, data science, and business development. If you want to help build serious counterparty intelligence infrastructure for African crypto markets, we would love to hear from you.

Contact
General
contact@provd.io
Research
research@provd.io
Location
Nairobi, Kenya