AI that sharpens every innovation bet, helps R&D execute and deliver winning formulation faster, and funds the launch from margin you couldn’t see.
That’s the Product-Led Growth OS — purpose-built and domain-trained for consumer products.
Trusted by the teams behind the world’s leading consumer products:
For decades, scale won — build the brand, ship it everywhere, drive out cost. That equation is breaking. Companies are being attacked from both ends: private label on value and disruptor brands on function - all while managing regulatory and supply chain risks. Those upstarts now take 35% of category growth from barely 15% of shelf.
AI was supposed to help. But most teams got more copilots, more experiments, and the same fragmented decisions. The real bottleneck is not idea generation. It is deciding which bets deserve R&D time, which tradeoffs matter, and which launches can actually win. That's why we built domain-trained AI engine and orchestrated agents to drive commercial success.
We call it the Product-Led Growth OS for consumer products — one system that picks which bets win, formulates with precision, funds them from unseen margin, and compounds every lesson.
Manmit ShrimaliFounder & CEO
7+ years in the making. Tested across categories, regions, and companies from day one. The breadth is what makes it reliable — the hard surprises aren't surprises anymore.
Real formulations come with high variability, legacy instruments, and constraints no controlled environment anticipated. Turing's domain-trained optimizer and agents are built for it.
Leading companies don't pilot Turing. They run it — across reformulation, cost, compliance, and scale-up, at scale.
We didn't build it to solve our own problems.We built it to solve yours.
70% of CPG teams are beaten to shelf by a comparable product.
You commit to a concept, then find out at the shelf whether it was the right bet.
The answer exists in past projects, supplier data, sensory results, or formulation history — but no one can find it when the decision is being made.
You compromise on cost, claim, nutrition, taste, or speed — then discover the tradeoff at shelf.
Turing is the Product-Led Growth OS for CPG leaders — orchestrated agents connecting commercial strategy, financial targets, and scientific execution into one unified system, built to produce a portfolio of winning products that drive profitable growth.
Anyone can generate concepts. Few can pick winners.
Turn innovation from a gamble into a decision.
The fewest experiments to the winning formula.
Luna's domain-trained optimizer recommends the minimum prototypes needed to hit your targets — working with sparse, messy data and every real-world constraint your team is under.
Hit cost targets without losing the product.
CostIQ finds cost-down and reformulation paths that protect performance, claims, and compliance as ingredient prices, supply, and regulations shift.
Every project builds on the last.
MemoryIQ turns scattered raw information and knowledge into institutional intelligence your team can query.
higher launch win-rate
ICQlower failures reaching the market-winning formula
OptimizerIQ (Luna)cost savings in 4 months
CostIQhigher throughput across the team
MemoryIQTuring runs the whole system.
General-purpose AI hallucinates formulas and waits for prompts. Turing is purpose-built for consumer-product innovation, grounded in domain expertise — it doesn’t suggest, it proves.
Not a point solution. A domain-trained engine that works with the data you have today — no data lakes or DOE campaigns first. And a workflow built to drive adoption, not die in pilot purgatory.
The big platforms give you horizontal infrastructure and a multi-year roadmap to assemble it yourself. Turing is the deployed, domain-built engine for consumer products — ready now, not someday.
Consulting-led builds cost millions and stall — fewer than 4 in 10 in-house R&D AI builds ever deliver measurable impact. Turing is bought, not built, and compounds from day one.
Turing integrates with your PLM, LIMS, and ELN — no rip-and-replace. (8 in 10 of your peers already run a PLM; Turing plugs into it.)
No data lake to build first, no two-year roadmap. Our team stands it up against your categories, and it works with the data you have today.
Type a question in plain language; get an answer grounded in your own formulations and decisions — not a generic guess.
Turing meets the standards your IT, legal, and procurement teams require — so adoption clears review, not just the pilot.
Your formulations and IP are yours. Turing never uses your data to train shared models. You see the reasoning behind every recommendation — and your team stays in control at every step.
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.
