Launch products that win at shelf.

Luna is Turing Labs' domain-trained AI engine for CPG product innovation and development. It powers Turing's Product-Led Growth OS and its agents. If the Growth OS is the system your innovation runs on, Luna is the engine under the hood: built on formulation science and dimensions for end-to-end product innovation, not just R&D formulation. The engine is stress-tested over six years and multiple patents.

A Product-Led Growth OS is the single system that runs the full arc of consumer-product innovation — choosing the bets, formulating them, and funding them, plus the agents that execute and the framework that drives adoption. It's the difference between buying another tool and installing an operating system: point tools add a feature to a broken process; the Growth OS replaces the process. Turing is the Product-Led Growth OS for consumer products.

Turing is purpose-built for consumer-product innovation; ChatGPT and other general-purpose AI are trained on the open internet, not the science of formulation. The way we put it: ChatGPT is a well-traveled friend giving general advice; Luna is GPS with live traffic — computing the optimal route that is predictable, reusable, reproducible, and compounds while considering organization rules and know-how.

A formulation optimizer stops at the recipe; Turing doesn't stop until the product wins at shelf. Most tools optimize one step — Turing works at your KPI level, guiding every step to launch. Its domain-trained optimizer has outperformed classical DOE and adaptive experimentation in the messiest reality of CPG — sparse data, human bias, unknowns — an edge built over six years and multiple patents, not a model a competitor spins up this quarter. We don't make unrealistic claims like being trained on millions of recipes and thousands of papers — those who really know how LLMs work can vouch for the lack of accuracy and reproducibility.

Yes — and it's the myth we most enjoy killing. It works with what you have today, not in the future.

Yes — your formulations, data, and IP stay entirely yours, and Turing never uses them to train shared models. Because the optimizer was hardened over six years, no learning on your data is required to deliver value. Turing is SOC 2 Type II, ISO 27001, and GDPR compliant.

Yes — Turing fits the systems your teams already run: ERP, PLM, LIMS, spreadsheets, and lab records, with no data rebuild first. Purpose-built agents connect your data, configure workflows, and drive daily use, so Turing becomes part of execution instead of another tool stuck in pilot purgatory.

Days to start, because the domain knowledge is already built in. We won't promise a finished formula in an hour — that's theater. The goal isn't the first formula fastest; it's the winning product, and teams begin seeing that within the first development cycles.

Turing is used by leading global consumer-products companies and is backed by Y Combinator and Insight Partners with $19.75M in funding. Ask for references.