About

Closing the chasm between physical domain physics and software execution.

ChemData & AI Consulting Ltd was founded by Jean Pierre Assiana on a simple observation: the hardest data and valuation problems sit inside complex physical and commercial domains, and the people who understand the domain rarely build the software.

Energy economics, capital markets, and chemical informatics data architecture workspace
Energy economics · capital markets · chemical informatics

Generic AI solutions fail in high-stakes environments because they lack context. They do not understand the difference between Contingent Resources and Proven Reserves, the mechanics of a sliding-scale Production Sharing Contract (PSC), or the molecular constraints of chemical pipelines.

With formal academic grounding in Oil & Gas Management (BSc) and Applied Chemistry (MSc), combined with enterprise Data & AI Systems Architecture, Jean Pierre built this practice to close that gap. We design data pipelines, validation systems, and agentic AI architectures where the scientific and commercial context is deeply understood at the code level—not bolted on as an afterthought.

The portfolio behind the practice is public, auditable, and practical: production-grade pipeline builds, type-safe Pydantic data contracts, and deterministic valuation engines deployed for energy and capital-markets contexts.

As a specializedSenior AI Architect for Capital & Energy Markets, Jean Pierre applies this architecture to commercial due-diligence pipelines, automated contract review, and risk-mitigation software for major oil and gas operators, investors, and trading firms.

Guiding principles

Direct Senior Advisory

Every engagement is led, designed, and executed directly by the founder. No junior hand-offs, no account-manager dilution.

Deterministic by Design

In financial, chemical, and energy systems, hallucinations are unacceptable. We enforce rigid schema validation and automated self-healing loops at every pipeline boundary.

Domain-Native Architecture

We build systems that reflect operational reality—whether that is a 20-year PSC cost-recovery waterfall, an LNG netback calculation, or high-throughput batch informatics.

Digital Products & Accelerator Assets

Alongside custom advisory and architecture engagements, the practice maintains and licenses specialized execution engines.

The Fiscal & Commercial Gateway

Type-safe upstream economic engines that parse unstructured energy contracts and compute deterministic DCF, NPV, and IRR projections.

The Regulatory Compliance RAG Engine

Production-grade retrieval systems grounded in authoritative statutory frameworks (offshore safety codes, environmental standards, Basel III, MiFID II).

AI-Augmented Trading & Intelligence Systems

Multi-agent architectures (LangGraph/CrewAI) built for market intelligence gathering, adversarial bull/bear analysis, and risk scrutiny in commodity markets.

The Scientific Data Accelerator

Validation-first pipeline that triages chemistry records for simulation readiness and guarantees the cryptographic lineage of every result.

Talk directly with the person who does the work

Every engagement is led by the founder. Start with a conversation about your domain, your data, and the system you need.

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