Specialist R&D Analysis · Delivered as a Service
Englishman Research is a specialist analysis practice built around 21 of the toughest tools in energy, engineering, and life-science R&D — GREET, ANSYS Fluent, VASP, SAS, ArcGIS, and more. Send us the problem. Our analysts already know the software; you get the results.
Case Study
Built by Argonne National Laboratory, GREET (Greenhouse gases, Regulated Emissions, and Energy use in Technologies) is a full life-cycle assessment model spread across a dense lattice of Excel workbooks and a .NET interface. It assumes you already understand energy pathway modeling before you open it — there is no onboarding mode.
That's exactly the kind of tool Englishman Research exists for. Your team shouldn't have to spend six months learning GREET's Excel/.NET internals to get a defensible life-cycle number. Send us the pathway — biofuel, hydrogen, EV battery — and we deliver DOE-ready results without adding headcount.
GREET — operated in-house by Englishman Research
The Five Domains
Full energy and emissions footprint modeling for technologies, grids, and policy — from a single biofuel pathway to a national power system — built and delivered on your behalf.
8 capabilities on staffChemical plant, fluid flow, and multiphysics simulation, run to convergence before a single part is built or a reactor is commissioned.
4 capabilities on staffCommand-line, Fortran-rooted atmospheric and emissions modeling, operated on our own HPC infrastructure for regulatory and research clients.
3 capabilities on staffQuantum chemistry, DFT, and molecular dynamics work that assumes an HPC cluster, a Linux shell, and years of domain fluency — all of which we already have.
3 capabilities on staffThe unglamorous production analysis behind clinical trials, drug approvals, and environmental planning — delivered to the standard reviewers expect.
3 capabilities on staffThe Full Stack
Life-Cycle Assessment
Full life-cycle assessment across a dense lattice of Excel workbooks and a .NET interface — built to evaluate energy pathways, not to teach them.
Life-Cycle Assessment
Full-scope LCA software with an enormous background database — powerful, but its licensing model and navigation push casual users toward spreadsheets.
Life-Cycle Assessment
Enterprise LCA modeling with dense, deeply nested parameterization — every process flow is a rabbit hole of upstream and downstream data.
Life-Cycle Assessment
The free, open-source alternative to commercial LCA suites — accessible in principle, but its plugin and database ecosystem is fragmented and thinly documented.
Techno-Economic Modeling
Techno-economic modeling for renewable energy projects, from a single rooftop array to a utility-scale solar farm's 25-year financial model.
Microgrid Design
Microgrid design software with a deceptively approachable interface hiding an unforgiving combinatorial optimization engine underneath.
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Grid & Market Modeling
Power systems and grid modeling software with an extremely difficult custom syntax and enterprise licensing that shuts most teams out entirely.
Energy Policy Scenarios
Long-range Energy Alternatives Planning — a scenario-based energy and emissions modeling platform for national and regional policy work.
Process Simulation
The chemical process simulation standard — flowsheet-driven modeling of reactors, columns, and separations with a genuinely brutal learning curve.
Computational Fluid Dynamics
Industry-standard computational fluid dynamics software requiring real mesh-generation and solver-tuning expertise to trust the output.
Multiphysics Simulation
A coupled multiphysics simulation environment spanning structural, thermal, electromagnetic, and fluid domains in a single model.
Control Systems
Deceptively approachable for scripting and plotting, but mastering block-diagram control systems design is a different, much harder skill.
Air Quality Modeling
A command-line, Fortran-based atmospheric chemistry and transport model with essentially no onboarding support for newcomers.
Weather Forecasting
The dominant mesoscale numerical weather prediction model — infamous for namelist configuration complexity that takes years to internalize.
Transportation Emissions
The federal standard for estimating transportation emissions inventories — a similarly clunky interface to GREET, in a similar regulatory niche.
Quantum Chemistry
The workhorse of quantum chemistry — famously unforgiving input syntax where a single misplaced blank line silently breaks the calculation.
Materials DFT
The standard plane-wave DFT engine for materials science, with minimal documentation and a hard prerequisite of HPC and Linux fluency.
Molecular Dynamics
A massively parallel molecular dynamics simulator, entirely scripting-driven with no graphical interface to lean on.
Biostatistics
A statistical programming language with syntax that feels archaic next to R or Python — and remains mandatory across regulated industries.
Pharmacometrics
The nonlinear mixed-effects modeling engine behind pharmacokinetic/pharmacodynamic analysis — widely regarded as one of the hardest tools to learn in any scientific field.
Geospatial Analysis
The dominant desktop and enterprise GIS platform — powerful spatial analysis locked behind licensing tiers and workflow complexity.
How We Work
You describe the pathway, system, or dataset. We identify which of our 21 tools apply and define concrete deliverables before any modeling starts.
Our analysts execute the build in the native software — GREET, ANSYS Fluent, VASP, SAS, or whichever the problem calls for — using your inputs and assumptions.
Results are checked against published methodology and, where relevant, the regulatory guidance a reviewer will hold them to (EPA, DOE, or your own internal standard).
You receive a documented, defensible output — report, dataset, or model file — plus a walkthrough call so your team can act on it immediately.
Frequently Asked
No. We run every tool in our stack — GREET, SimaPro, ANSYS Fluent, VASP, SAS, and the rest — on our own licensed seats and HPC infrastructure. You send us the problem and your data; we handle the software.
Four steps: we scope the problem and agree on deliverables, our analysts build and run the model, we QA it against published methodology and relevant regulatory guidance, then deliver a documented result with a handoff call. See "How We Work" below.
Yes. Many engagements are staff-augmentation — we run the specialist tool your team doesn't have bandwidth to learn, while your analysts stay in control of assumptions, review, and interpretation.
The 21 tools listed are our core stack, spanning life-cycle assessment, process simulation, air quality, computational chemistry, and biostatistics/GIS. If your project needs something adjacent, tell us the problem — not just the tool name — and we'll tell you honestly whether it's in scope.
We work under NDA before any data changes hands. Engagement details, inputs, and deliverables are treated as client-confidential by default.
DOE-adjacent energy and LCA work, pharmaceutical and clinical biostatistics, environmental consulting and planning, utilities and grid operators, and aerospace/automotive engineering R&D.
Englishman Research was founded by Akano Wisdom, who also co-founded Englishman Integrated Services. The analysis practice was spun out of that company and now operates as its own independent academic research entity, with separate licenses, infrastructure, and client engagements.
Our Story
Englishman Research began as the specialist-analysis capability inside Englishman Integrated Services (Englishman Integrated Services Ltd, RC 1795728), the operating company co-founded by Akano Wisdom. As that capability — GREET pathway modeling, ANSYS Fluent CFD, VASP DFT, and the rest of a 21-tool stack — grew past a side function into a full practice, it was spun out into its own entity.
Englishman Research now operates independently: its own licenses, its own HPC infrastructure, its own client relationships, and its own focus on academic and R&D analysis work. Englishman Integrated Services continues to operate as a separate business. The two organizations share a founder and an origin story, not an operating structure.
Disclosed here for transparency: ownership details reflect Akano Wisdom's current stake in Englishman Integrated Services, a separate company from Englishman Research.
Who We Work With
Coursework favors lighter, friendlier tooling — Python notebooks, R scripts, free sandboxes with generous documentation. That's the right call pedagogically. But it creates a gap: the moment a deliverable needs to hold up to a DOE reviewer, a regulatory submission, or a paying client, it needs to come out of the tool the industry actually runs — not a lighter substitute.
Englishman Research closes that gap. We keep the specialist licenses, the HPC infrastructure, and the domain fluency in-house so you don't have to build any of it just to get one defensible analysis.
Start an Engagement
Project-based analysis, staff augmentation, or an ongoing retainer — describe what you're trying to model and we'll scope it honestly, including if it's outside what we cover.
