Our team's experience spans industries driven by data, including technology, corporate, start-up, finance, and energy. Across all of them, we saw the same pattern of waste. Not just wasted money or time, but the wasted potential of people and projects. We saw leaders making critical decisions with incomplete information and teams frustrated by manual processes and communication gaps, resulting in a constant cycle of rework and delay.
At the same time, we saw the immense power of AI being used for trivial things: memes, deepfakes, and parlour tricks. The technology that could solve our hardest problems was being used to amuse us instead. We knew there was a better way, a way to apply its power to real-world challenges and build something meaningful.
Alchemy Forge is our answer to that frustration.
We build decision-making software for teams who need to move with clarity and confidence. Our platform pulls in raw data, synthesises it into a single source of truth, and provides a clear path forward, complete with the evidence to back it up.
We chose to tackle construction first because it’s a complex, real-world domain where decisions have tangible impacts and the cost of bad data is immense. This isn't just a business strategy; it's a design philosophy. By proving our platform's value in a tough, data-rich environment, we force our product to be practical, fast, and safe. This ensures the engine we've built can solve hard problems, no matter the industry.s.
Our principles are built on two core pillars: our guiding philosophy as a company, and our unwavering commitment to how we build and manage AI.
Augment, Don't Automate:
We build tools that empower human judgment, not replace it. Our platform is a strategic co-pilot, designed to augment decision-making with AI-driven foresight so your team can act with confidence.
Evidence Over Hype:
Our product is grounded in delivering measurable, real-world value. We believe in explainable AI and audit-ready decisions, ensuring every insight is backed by evidence and stands up to review.
Forge What Lasts:
We are focused on creating long-term, resilient outcomes. This applies to our software—which we are forcing to be practical, fast, and safe by testing it in tough environmentsand to the lasting legacy we help our customers build.
Pragmatism by Design:
Our design philosophy comes from tackling complex, real-world domains first. This forces us to be relentlessly practical and focused on what actually works on the ground. We exist to close the gap between what's possible and what's actually being done.
We treat AI as a tool that must earn its place.
People stay in control.
Humans set goals, approve important actions, and can override the system at any time.
Explainable by default.
Every recommendation shows the inputs, the reasoning summary, and links to evidence.
Safe failure.
If data are missing or confidence is low, we degrade safely, flag uncertainty, and ask for help.
Provenance and audit.
We record sources, versions, prompts and who approved what, so decisions stand up to review.
Data minimisation.
We ingest only what we need, keep it only as long as needed, and delete it on request.
No cross-customer training without consent.
Your data are not used to train models for others unless you agree in writing.
Test before trust.
Features run in offline tests, shadow mode and limited pilots before wider release.
Clear ownership.
Each model has an owner, on-call path and rollback plan.
The minds behind the mission.