Genexsus

Ten products. One engineering standard.

Genexsus builds AI systems for work that has to hold up afterwards — supply plans that finance will sign, models that survive peer review, designs an engineer puts a stamp on. Answers carry their sources, results are verified wherever the mathematics allows it, and the core they are built on is open source under the MIT licence.

Open-source core, MIT licensed Cited, auditable outputs Nine live, one in development

The standard

Four commitments every product keeps

Ten products in very different domains, built by one team to one set of rules. These are not aspirations — you can check each of them on any product site.

An open-source foundation

GenXAI is MIT licensed and free — the entire framework, with no paywalled module and no commercial edition held back. The engine the other products are built on is public, so how they reason is open to inspection.

Answers carry their sources

GenXSync cites the document it drew from. GenXFintel grids cite the filing. GenXGrid states the method behind each calculation instead of returning a number with no provenance.

Verified, not just generated

GenXEcon compiles every model symbolically and rejects it if it fails a determinacy check — the language model proposes, the mathematics disposes. Generation alone is never the last step.

Humans approve what matters

Agentic production scheduling in GenXChains and agent workflows in Flow Studio pass through explicit approval gates. Nothing consequential commits because a model decided it should.

The portfolio

Ten products in three families

One agentic foundation, four industry systems built on top of it, and four platforms for the work of running a team, learning a language, and growing an audience.

AI Platform

Open source · MIT

GenXAI

A graph-native agentic framework. Workflows are directed graphs rather than linear chains, so routing, parallelism, loops and conditional edges are first-class. Multi-layer memory, 45+ tools, MCP client and server.

For AI engineers building multi-agent systems for production

Visual builder

GenXAI Flow Studio

The same graph engine on a canvas. Describe a workflow and get one, or drag nodes yourself. Ten connectors, 46 agent tools, schedule and webhook triggers, approval gates, per-node metrics.

For analysts and teams automating work without writing code

Industry Intelligence

Supply chain

GenXChains

Sales and operations planning in one governed cycle. Demand, supply, inventory and finance meet in a five-step workflow with approval gates, seven forecasting models, and a complete audit trail.

For demand and supply planners, inventory managers, finance

Macroeconomics

GenXEcon

Describe an economy in plain language and get a solved, verified DSGE model. Impulse responses, business-cycle moments, welfare costs, Bayesian estimation — with the Python code exported so you can leave.

For central banks, research teams, applied economists

Finance · in development

GenXFintel

A transparent AI analyst that shows its work. Cited document grids across filings, Black-Scholes and Monte-Carlo, VaR and CVaR, live Excel models with real DCF formulas, and an enforced token budget per run.

For finance teams who cannot send their data elsewhere

Construction & AEC

GenXGrid

Schematic design for high-rise buildings. Height, floor plate and ground conditions in; structure, foundations, MEP, lifts, fire, cost, programme and an 8,760-hour energy model out, each stage feeding the next.

For architects and engineers at early design stage

Work & Growth

Collaboration

GenXSync

Channels that have read your documents. Upload the handbook, ask in plain language, get an answer with the source attached — scoped to the group, so nobody sees what they should not.

For universities, departments, operating teams

Creator platform

GenXstreams

Audio, video, shorts, live, montages and courses in one place, with one audience and one set of statistics. Discovery ranks on merit rather than play count, which is what buries small catalogues.

For musicians, educators, independent creators

AI visibility

GenXtrim

Buyers now ask an assistant instead of a search engine. GenXtrim tracks how ChatGPT, Gemini, Perplexity and Claude describe, cite and recommend your brand — and where your competitors are named instead.

For marketing teams, SaaS and ecommerce, GEO agencies

Language learning

mon-omon

An AI language tutor you learn by talking to. It corrects the sentences you actually write and explains why, then turns your own mistakes into the spaced-repetition deck you revise.

For learners who want to speak, not memorise

How it fits together

One foundation under the whole portfolio

The agentic layer is not a feature bolted onto each product — it is a single open-source framework the rest are built on. Fix something in the foundation and every product above it improves.

GenXGrid, GenXstreams, GenXtrim and mon-omon sit alongside rather than on top — their engineering is domain-specific, but they hold to the same four commitments.

Where to start

Find the product by the problem

Most people arrive with a question rather than a product name. These are the most common ones.

“Our plan and our finances disagree.”

Demand, supply and inventory decided in different spreadsheets, reconciled too late to matter.

GenXChains →

“We cannot send this data to a vendor.”

Analysis on material non-public information, student records, or anything under a retention policy.

GenXFintel →   GenXSync →

“The model has to survive review.”

Work that a committee, a regulator or a journal referee is going to take apart line by line.

GenXEcon →

“Feasibility is taking six weeks.”

Structure, services, cost and programme each priced by a different consultant, none of them agreeing.

GenXGrid →

“This process is manual and repetitive.”

Qualifying leads, updating a CRM, routing messages, moving data between systems on a schedule.

Flow Studio →

“Nobody finds us any more.”

Search traffic falling while buyers ask an assistant instead — and it recommends someone else.

GenXtrim →

Questions

Frequently asked questions

What is Genexsus?

Genexsus is the parent company behind ten AI products spanning agentic AI infrastructure, industry intelligence, collaboration, language learning and audience growth. GenXAI, the core framework, is open source under the MIT licence. Every product cites the source behind its answers and states plainly what it does not do.

What products does Genexsus make?

Ten: GenXAI, an open-source agentic AI framework; GenXAI Flow Studio, a visual workflow builder; GenXChains for sales and operations planning; GenXEcon for DSGE macroeconomic modelling; GenXFintel, a transparent AI analyst for finance; GenXGrid for high-rise schematic design; GenXSync for collaboration with document retrieval; GenXstreams, a creator platform; GenXtrim for generative engine optimisation; and mon-omon, an AI language tutor you learn by talking to.

Are Genexsus products open source?

The foundation is. GenXAI is MIT licensed and free, with no paywalled module and no paid edition held back. The nine products built around it are commercial.

Which Genexsus products are free to try?

Several. GenXAI is free forever under the MIT licence. GenXEcon has a free Researcher tier, GenXSync a free tier with unlimited members, GenXstreams a free plan, and mon-omon is free to start with no card. Flow Studio has a public demo that needs no sign-up, and GenXChains offers a 30-day pilot for up to five seats.

Which Genexsus product should I use?

For building agent workflows in code, GenXAI; without code, Flow Studio. For supply chain planning, GenXChains. For macroeconomic modelling, GenXEcon. For financial analysis on private data, GenXFintel. For high-rise building design, GenXGrid. For team collaboration over documents, GenXSync. For publishing and teaching, GenXstreams. For AI search visibility, GenXtrim.

What makes Genexsus products different from other AI tools?

Four commitments: the core framework is open source under MIT; answers carry their sources; results are verified where verification is possible, as when GenXEcon rejects a model that fails a determinacy check; and agentic actions pass through human approval gates before anything commits.

Is Genexsus AI software suitable for regulated industries?

That is the design intent. Citations make an answer checkable, verification catches models that do not hold, and audit trails plus approval gates record who decided what — the properties finance, central banking and engineering review typically require. Teams that need to run the stack themselves can build on GenXAI, which is open source.

Start with the problem, not the product

Tell us what you are trying to fix. If one of the ten fits we will show you it working on your own data — and if none of them fit, we will say so.