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The research behind your next food product.

We help food and beverage companies find, check, and choose the technologies, ingredients, and partners behind their next product - searching patents, science, startups, and suppliers worldwide.

Over 1000+ Users and
100+ Brands Trust
GreyB

Back Every R&D Decision With Evidence.

Food R&D teams rarely lack ideas. What's missing is a fast, defensible way to tell a durable opportunity from a well-marketed one - before budget, headcount, and a year of development go into it. That's the gap we close.

Trend validation

Know which trends are structurally durable - before you commit R&D budget

Fermentation, functional beverages, GLP-1-driven reformulation - new ones show up every month, and most food R&D teams have no fast way to tell which ones are backed by real movement versus which ones are just well-marketed. We check three things before calling anything a trend worth acting on: is anyone patenting around it, is there published science behind it, and is the supply chain actually shifting to support it. If only one of those is true, we tell you that too - so you're not building a stage-gate case on a headline.

Whitespace Analysis

See the whitespace competitors haven't filed on yet

Most food innovation consultancies stop at recipe and concept work: sensory panels, product testing, launch support. We start earlier, in the patent filings, and answer a specific question: has someone already locked up the ingredient, process, or formulation your team is about to spend six months developing? You get a clear map of what's already claimed and what's genuinely open, so R&D time goes into ideas nobody else owns yet.

Regulatory foresight

Get ahead of regulation instead of scrambling to meet it

Rules like PFAS restrictions, the EU's ESPR, and shifting allergen labeling requirements don't appear overnight - they show up first in draft legislation, comment periods, and scientific advisory reports, usually 12–18 months before they're enforced. We track that early activity and translate it into a specific question for your team: what should we reformulate now, so we're compliant and already in-market before competitors are forced to react.

Stage-gate evidence

Bring your stage-gate committee proof - patent, science, and supply signal, triangulated

Every major R&D investment eventually has to survive a room of people asking "how do we know this will work." We build that answer before the meeting: which patents exist in the space, what the published science actually shows, and where suppliers are already moving. You walk in with a brief that names specific filings, specific studies, and specific supply signals - not a curated list of trend words.

Competitive intelligence

See what a competitor is building before it hits a shelf

By the time a competitor announces a new product, that decision was made over a year ago. What tells you where they're headed next is what they're filing patents on, what their scientists are publishing, and who they're partnering with right now. We track that activity so your team is planning against where competitors are going, not reacting to where they already arrived.

Sub-sector specificity

Plant-based dairy and shelf-stable snacking don't share the same opportunities - so we don't research them the same way

Generic food and beverage trend reports treat the whole category as one market. It isn't. What counts as a durable opportunity in functional beverages looks nothing like what counts as one in pet food or plant-based dairy. Our research is built sub-sector by sub-sector, so the ideas we bring your team are specific to the category you actually compete in.

The Pillars Behind Every Insight

Product development firms make the product. Ingredient suppliers sell their own catalogue. Trend agencies read the market. We sit before all three - and these four things are why our answers hold up when yours are questioned.

Pillar 01

Decode Competitor's Food Product Strategy using Patent intelligence

Patent intelligence is GreyB's core discipline - the work we have done for two decades across every technical industry, now pointed at food. Our analysts read filings the way your team reads a spec sheet.

That means we can rebuild a competitor's formulation from its patents: what is in it, how it is made, and where the company is heading next. Very few food research partners can do this at all, and fewer can do it at scale.

Patent signals
Sugar reduction
Plant protein
→
Fermentation
dropped
’21’22’23 ’24’25Next
Filings→Clusters→Intent→Next launch
Pillar 02

Find the answer Food Industry hasn't found yet

When food runs out of answers, the answer usually already exists somewhere else - in pharma, cosmetics, materials, or agriculture. Finding it is the easy half. Knowing which one to back is the hard half, and that is what our framework settles.

Every candidate is placed on two axes: how much work it takes to adapt it to food, and how much advantage it gives you over competitors. Where it lands tells your team what to test now, what to develop and watch, and what to leave alone.

Strategic advantage →
From a nearby industryTest first
From an unexpected industryDevelop & watch
Already inside foodLeave it
From a parallel spaceWorks, but no edge
Effort to adapt it to food →
Every option gets a position, and a reason for it
Pillar 03

Ground-level research, not desk research

Most scouting reports stop at the pitch deck. We do not. Shortlisted technologies go through real performance checks that we film, and the founders behind them sit down with us for a recorded interview.

You see the evidence yourself rather than taking our word for it - and so does everyone you have to convince internally.

▶
Product testing, on camera
Shortlisted technology put through real performance checks
Video
▶
Scouted by GreyB
Founder interviews that surface the real technology and intent
Series
Pillar 04

SLATE, our own AI R&D Intelligence Platform

We built SLATE because no off-the-shelf tool searched everything we needed at once. It covers patents, journals, clinical trials, startup databases, and local-language sources that English-only searches never reach - and lets your teams anywhere in the world work the same landscape live.

It is the reason a focused team can cover ground an internal group would need months to staff.

SLATE // technology scouting
PatentsJournalsClinical trialsStartupsSuppliersLocal-language sources
Patents
Literature
Startups
Local-lang
illustrative - live screenshot to replace

Get hours back in the workflows your food teams run every day.

Most food companies are not short of AI options. They are short of a way to decide which workflow to start with, whether to build it or buy it, and how to tell a good platform from a good demo. That is the part we handle.

Where to start

Find the workflows where AI actually pays off

We map how your teams work today - recipe and spec documents, supplier data, quality records, label compliance, consumer feedback - and rank the workflows where AI saves real hours.

Build or buy

Settle the build-versus-buy question with numbers

For each workflow: what building costs in time, people, and upkeep, against what buying costs in fit and lock-in. You get a recommendation and the working behind it.

Choosing a tool

Shortlist platforms without sitting through ten demos

Every vendor demo looks the same. We shortlist against your criteria, run the evaluation with you, and ask the questions that separate a working product from a polished one.

Before you sign

See the tool run on your own data first

We put shortlisted platforms through a test on your documents and your process, so the decision rests on what it did for you - not on a reference customer in another industry.

Team readiness

Get your team confident enough to use it

Hands-on workshops for R&D, quality, and operations teams: what these tools can and cannot do, how to prompt them, and where a human still has to check the output.

Proving it

Show the gain before you scale it

We agree what success means before the pilot starts - hours saved, errors cut, cycle time - so you can defend the rollout internally, or stop early without a sunk budget.

The same method, run for real.

Start with everything that exists, cut it down with reasons you can repeat, and hand over answers that hold up in a board room.

Food · Ingredient Scouting

Finding an Ingredient Supplier and Product Development Partner for A Food Manufacturer

A leading food manufacturing company was exploring a new application for a specialized food texturizer. Led by its R&D and Open Innovation team, the initiative aimed to identify external partners for ingredient supply and collaborative product development. The need was highly specific due to stringent regulatory standards requiring extremely low impurity levels in the ingredient. It had to meet strict specifications for nitrogen content, ash levels, contaminants, purity, gel strength, and binding capacity, which significantly limited the pool of potential suppliers.

Read the full case study →
Food · Technology Scouting

How Expert Interviews and Product Testing Helped Validate Alternative Cocoa Solutions

The procurement team of a leading consumer goods company wanted to identify sustainable alternatives to cocoa for food applications as the global cocoa supply chain came under increasing pressure. Climate-related disruptions, heavy reliance on West African production, rising ESG expectations, price volatility, and supply uncertainty were making traditional cocoa sourcing less reliable.

Read the full case study →

The problems we get called in for.

These questions come up in every category, from dairy to snacking to beverages. If yours is on this list, we have almost certainly mapped the landscape around it.

Who works on your problem.

The people leading our food and operations work bring patent intelligence, food science, and AI experience to every project.

Rajesh Agarwal
Rajesh Agarwal
Group Manager
Rajesh brings over 10+ years of experience spanning across IP and R&D consulting. He started his career as a patent researcher gaining exposure over different types of searches including invalidation, state of the art, infringement, patent acquisition, freedom to operate, etc
Priya Vashishth
Priya Vashishth
Manager
Priya Vashishth leads the Analytics Team at GreyB. She oversees and manages innovation consulting projects in several verticals of the CPG industry, including cosmetics. With an impressive accumulation of 12,000+ hours of experience
Shikhar Sahni
Shikhar Sahni
Sr. Vice President
A veteran in technology Intelligence & Advisory with experience of supporting technology scouting, open/external innovation activities, R&D investment decisions, R&D expansion strategy, IP expansion strategy, litigation risk mitigation and competitive assessment studies.
Harleen Singh
Harleen Singh
Team Lead
Harleen Singh is leading a team in the analytics department at GreyB. As a fully qualified engineer in food technology, he has helped clients in landscape studies focused on developing strategies combining verticals such as technology and market factors.

Why teams come back.

"

The in-house software let us find specific bits of information in huge volumes of literature very efficiently - the speed and quality stood out.

R&D LeadGlobal Snacking & Beverage CPG
"

They flexed with us mid-project instead of clinging to the original brief, and adjusted to get us the outcome we actually needed.

Open Innovation DirectorGlobal Consumer Products
"

The recommendations weren't a data dump. Pros and cons on every option meant we could take a decision to the board with confidence.

Head of External InnovationFortune 500 Food & Beverage
Expert

Facing A Roadblock On Your Project?

Our Experts Are Here To Help.

No commitment required • Custom proposals • Trusted by Fortune 500 companies

Questions we get
on the first call.

If yours isn't here, ask us directly - we answer scoping questions before any commitment.

How is GreyB different from a food product development firm or an ingredient supplier?
A development firm builds the product once you know what you want to build. A supplier recommends from its own catalogue. We come before both: we search everything available worldwide, including options no supplier will point you to, and tell you which are worth pursuing. We have nothing to sell you at the ingredient level, so the shortlist is not shaped by what we stock.
Do you run lab work or make prototypes?
No. We do the research and validation that comes before the bench work - finding the options, checking they are real, and telling you what will and will not survive scale-up. Your team, or a development partner, takes it from there. Where a technology owner exists, we can put you in direct contact with them.
What do we actually receive at the end of a project?
A shortlist of options with a page on each: how it works, how proven it is, who owns it, what it would take to adopt, the trade-offs, and the reason it made the cut. You also get the record of what was rejected and why, which is usually the part that saves you repeating the search next year.
How long does a project take?
Most run between four and ten weeks depending on how wide the search is and how much validation you want. A focused freedom-to-operate check can be faster. If you have a deadline - a regulatory date, a launch window - tell us up front and we will scope to it or tell you honestly that it will not fit.
Who owns the findings, and how do you handle confidentiality?
You own the output. We work under NDA from the first conversation, your problem is never used as an example without written permission, and we do not run the same brief for a direct competitor during your engagement.
We already have a shortlist. Can you just validate it?
Yes, and it is a common starting point. We check whether the options are as good as claimed, test what can be tested, talk to the companies behind them, and tell you what is missing from the list - because the gap is usually more valuable than the verdict.
How do you know something will survive scale-up?
We look at whether it has run outside a lab, at what volume, and under what conditions - heat, shear, freeze-thaw, storage. We read the patents for the process limits the marketing does not mention, and we ask the founders directly. Where the evidence is thin, we say so rather than filling the gap with optimism.
Do you work with startups, or only large companies?
Both. Large companies usually come to us for scouting, competitor analysis, and freedom to operate. Funded startups come for freedom to operate before a raise or a launch, and for a read on who else is working in the same space.
How does pricing work?
Projects are priced as a fixed fee against an agreed scope, so there is no meter running. The fee depends on how wide the search is, how many markets you need covered, and how much hands-on validation you want. You see the scope and the number before anything starts.
Can you work alongside our internal team and existing data?
Yes. We can start from your prior research so you are not paying twice for the same ground, and hand over in a format your team can carry forward. Where SLATE is part of the project, your teams across regions can work in the same landscape live.