Figure out where AI actually belongs in your R&D workflows.
20+
AI evaluation frameworks across industries
300+
R&D AI platforms evaluated
150+
R&D workflows and AI capabilities mapped
20+
Industries and technology domains covered
Six things we hear from R&D and innovation leaders in almost every first call:
“Every vendor claims proprietary AI. We can't tell who has a real model and who's a wrapper around open source.”
“They keep pitching us their most powerful engine. Half of our problems don't need it.”
“We're not handing proprietary formulations to a platform we can't unplug from later.”
“Competitors are announcing AI partnerships. We can't tell the real size of the effort, or whether we need to match it.”
“There are too many tools to demo ourselves. And it's not our job.”
“There are too many tools to demo ourselves. And it's not our job.”
If any of these are on your desk, the next section is the path we run to clear them.
From “where do we even start” to a working system teams use
Step 01
Pinpoint workflows
Map the decisions that matter and the workflows behind them.
Step 02
Set the bar
Step 03
Test the market
Step 04
Make the call
Step 05
Pilot with checkpoints
Step 06
Roll out and train
Access GreyB's detailed AI transformation framework for R&D teams
How GreyB has helped in resolving AI adoption for others recently
Three of 20+ industries
01
Reducing downtime in meat processing plants
02
Identifying AI opportunities across cosmetics R&D
03
Evaluating consumer behavior simulation platforms
Identifying AI simulations with 30% higher consumer prediction accuracy
The confidence of working with GreyB
NDA before anything
Leap of faith with a parachute. We work with the most sensitive R&D projects of 100s of clients, powered by NDAs and strict policies.
Your IT and legal reviews are part of the plan
Security questionnaires, procurement, data policies, certifications, and MSAs. We build the review time into the schedule instead of discovering it later.
Uncertainty validated using primary research
Our reports separate what's verified, what vendors claim, and what's still open, with sources throughout. Where the evidence is thin, we can get our hands dirty and really step in the streets to validate things.
We understand AI lifecycle for R&D inside out
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We spent 20+ years doing the work these tools claim to automate
Meet GreyB's AI transformation experts
Mahesh Mann
Anmol Saini
Siddharth Ghai
Jatin Shukla
As a Group Manager, I drive sales excellence, cultivate strategic relationships, and empower teams to deliver results that align with company goals
FAQs
Can you sign our NDA before we share anything?
We're already in talks with vendors. Can you evaluate them mid-conversation?
How do you tell a real model from a wrapper?
Could open source do the job instead of a commercial license?
Will our data end up training someone else's model?
How do you account for vendor lock-in?
What does the first engagement look like?
How fast do we see something?
Do you only work in certain industries?
Our stakeholders are business people, not data scientists. Will they be able to use the output?
Reports are written for decision-makers: use cases and examples over jargon, plus a separate executive synthesis that states what’s known, what’s open, and what to do next.