We build our own AI agents and use them to deliver services, with experts where it matters: Teaching for schools, SemaBooks for bookkeeping, voice agents that handle calls, and a company brain your staff can simply ask. Most of it runs on fully local inference, so your data stays where you control it.
Fintech Forensics builds its own agentic AI and runs it in production to deliver services, most of it on fully local inference, backed by fifteen years of forensic finance.
We deliver teaching and assessment, bookkeeping, voice, company knowledge and workflow automation. Under all of it sits our own cognitive harness, the layer for memory, planning, tool use and guardrails that keeps agents reliable on long, multi-step tasks. Right from the heart of Africa to the world.
30 minutes. We listen. You leave with a one-page sketch, whether or not you hire us.
We ingest a sample of your ledger or ERP. Written diagnostic in five business days.
Forensic AI or automation, deployed inside your stack, every finding has provenance.
Fractional CFO + forensic AI partner, quarterly reviews, on-call for hard questions.
Parsing contracts, emails, and chat logs to surface intent, collusion, and red-flag language, across multilingual, code-switching communications.
Transcribe and analyse recorded calls, voicemails, and interviews. Speaker separation and diarisation to attribute who said what in an investigation.
OCR and table extraction on messy invoices, statements, and contracts. Detecting tampering, duplicates, and inconsistencies at audit-grade precision.
Multi-step reasoning that follows the money, building hypotheses, testing them against the ledger, and explaining every finding in plain language.
Long-term memory across documents, entities, and sessions. Agents that remember every counterparty and transaction in a matter, on consent-first architecture.
Specialist agents collaborating on one case, the ledger agent that consults the regulatory agent that asks the entity-resolution agent before concluding.
Runs inside your firewall, in-country, or at the edge. Offline-capable and GPU-light, sensitive financial data never leaves your control. No vendor lock-in.
Chain of custody, anonymisation, consent flows, and audit trail. Findings built to hold up under regulatory and legal scrutiny, in-country data residency throughout.

A technology-forward Chief Financial and Value Officer with 15+ years blending financial leadership, digital innovation, and sustainable value creation across global markets. She also advises global clients as a management consultant, steering corporate strategy and fundraising. A specialist in AI-powered financial automation, fraud detection, and ESG-integrated investment strategies, with a proven record building investor confidence and valuing digital assets in emerging markets.

An AI engineer who builds for deployment, not for publication. Vysakh designs purpose-built models, one model per problem, fine-tuned on real data, and ships them on hardware institutions can actually afford and own. His work spans low-resource language AI, voice-first agents, multi-agent orchestration, and sovereign on-prem deployments for clinics, cooperatives, banks, and ministries.
Why rules-based monitoring misses sophisticated fraud, and how unsupervised models surface the outliers, structuring, and timing patterns a human auditor never could.
A forensic pipeline that extracts, classifies, and cross-references invoices against vendor and payment data, flagging duplicates and collusion at audit-grade precision.
One 30-minute call with both founders. We'll size up the problem, sketch the AI angle, and tell you, honestly, whether we're the right fit.