Research Intelligence backed by Industry Insiders
GreyB connects clients with vetted industry experts to enable faster, more confident decisions on Innovation, IP, and technology solutions.
100+
Industry experts across domains and geographies
15+
Average years of hands-on industry experience per expert
B2B&B2C
Primary research capability - quantitative and qualitative
Lab→Market
Bench-scale validation through to commercialization readiness
Desk research tells you what exists. It cannot tell you what works.
"The gap isn't in the data. It's in the judgment needed to interpret it."
- Will it actually perform at scale - reliably, not just under lab conditions?
- Can it be manufactured within real cost and complexity constraints?
- Will procurement accept it? Will regulatory approve it as specified?
- Is the supplier or startup claim technically credible - or well-packaged noise?
- Has something like this been tried before? Why did it fail?
- What is this category actually doing in the next three to five years?
- Is this worth the next conversation, the next investment, the next quarter?
The Expert Bench
Not a rolodex. People who've held the same roles as your team.
Every expert on our bench is drawn from senior practitioner roles – the same functions your team works alongside, evaluates, or competes with. When you need a read on whether a materials claim is credible, you get it from someone who spent two decades making and approving those calls.
Dr. Maya Chen
T
Thomas Brennan
P
Dr. Priya Anand
L
Lars Hoffmann
N
Dr. Nadia Okafor
Network Scale
Every domain. Every function. Accessible when you need it.
Our expert bench extends beyond the core team to a curated on-demand network of over 100 industry veterans – combined with primary research capability that no literature search can replace.
Core+
Retainer-basis experts embedded into ongoing and deep-dive engagements
100+
On-demand specialists across industries, functions, and geographies
B2B/B2C
On-demand specialists across industries, functions, and geographies
Lab→
On-demand specialists across industries, functions, and geographies
Expert judgment embedded at every stage
of the research process.
Scope definition with an expert, before research begins
Practitioners identify the questions that actually matter, remove scope that won't yield decisions, and surface the constraints your team hasn't modeled yet.
Early signal challenge - before time is invested
Initial findings are pressure-tested for feasibility, prior art, research bias, and genuine novelty. Weak signals get cut early. Strong signals get deeper investigation.
Shortlist validation against real-world constraints
Promising opportunities are assessed for technical plausibility, commercial viability, implementation risk, and regulatory exposure - by people who've navigated the same path.
Weak signal interpretation from deep category experience
Early-stage directional shifts are contextualized against decades of category knowledge. Experts distinguish what's emergent from what's premature - a judgment no model can replicate.
Final stress-test before recommendations reach you
Every output is reviewed against practical constraints. No recommendation goes to a client before it's been challenged by someone who would be responsible for implementing it.
How It Works
- Recommendations grounded in what has actually been tried - not just what looks good on a landscape scan
- False positives eliminated before they consume budget, internal attention, and credibility
- Technical and commercial viability assessed before your team commits to the next stage
- Implementation risks surfaced that don't appear in patents, papers, or supplier materials
- Supplier and startup due diligence backed by people who've evaluated comparable claims professionally
- Internal recommendations that hold at leadership level - because they've been stress-tested by practitioners first
Five things experts know that databases don't.
Where Research Bias Hides
Innovation scouting naturally tilts toward what is visible, well-funded, or loudly marketed. Practitioners challenge those signals with institutional memory. They ask questions like: what’s been overstated before, what hidden constraints have blocked adoption, and why similar approaches have failed in prior cycles.
What Commercial Feasibility Actually Requires
What Early Signals Actually Mean
Where Regulatory Pressure Is Heading
Whether a Supplier Claim Holds Up
Terms like “scalable,” “clinically validated,” or “commercially ready” require decoding. Experts evaluate technical plausibility, maturity level, proof points, and likely implementation gaps.
Talk to the Industry Experts
Connect with us to know how our expert bench can strengthen your next engagement – from the first question to the final recommendation.Â