Thesis Lab
Synthetic expert cohorts for
sharper investment theses.
Built for funds. Thesis Lab pressure-tests a thesis before you commit time and budget to deeper research.
- Test whether a thesis holds across customer, buyer, and operator cohorts.
- Surface which segments, behaviours, and risks matter most before you spend a dollar on diligence.
- Sharpen the agenda for expert calls, channel checks, and further research.
POWERED BY FISHDOG
Synthetic expert cohorts create sharper investment theses
Thesis Lab helps investment teams pressure-test a thesis before committing time and budget to deeper research.
Use Thesis Lab to
01
Test the thesis across cohorts
See whether a thesis holds across customer, buyer, and operator cohorts - not just the one segment that first caught your attention.
02
Surface what matters most
Surface which segments, behaviours, and risks move the thesis, so you know where the real exposure and the real upside sit.
03
Sharpen the agenda
Walk into expert calls, channel checks, and further diligence with a tighter set of questions and a better expert match.
Expert networks are valuable, but not always the right first step
Funds already spend heavily on expert networks, because human insight matters. But many calls happen too early - before the team has formed the right questions. Thesis Lab tests the thesis first, so expert calls become more focused, efficient, and valuable.
Before, between, and after expert calls
Two halves of the same research workflow - depth from real people, breadth and repeatability from synthetic cohorts.
Expert networks
Depth from real people
The senior operator on the line, the lived detail, the judgement call only a human who has run the desk can give you. Irreplaceable - and worth the spend when the question is already sharp.
Thesis Lab
Breadth, structure, repeatability
Synthetic expert cohorts give you the whole distribution, a structured first read, and a question you can re-run any time - so analysts ask better questions, pick better experts, and build higher-conviction research.
From consumer behaviour to B2B operating insight
Thesis Lab tests the operating assumptions behind the model - across customers, buyers, frontline operators, and market participants.
Build the cohort the thesis needs, not just the one you can recruit
Dimensions
- Customer types
- Roles
- Regions
- Income bands
- Industries
- Buyer segments
Example markets
Every cohort built from real census, occupational, and market data - so breadth never costs you rigour.
What it looks like
Three screens from the product. Click any image to enlarge.
Describe the cohort in plain English. “Managers and logistics coordinators at restaurant-supply companies that specialise in poultry.”
A cohort grounded in real data. Drawn from real census and occupational distributions. You see who you are talking to, their background, and the recruitment trail.
Recorded, traceable, repeatable. Run a cohort, then re-run the same question as new data, earnings, and news land. Every interview recorded and cohort-traceable.
Thesis Lab makes expert networks more productive
01
Broader first read
Expert calls provide depth. Synthetic cohorts show you the whole distribution - and whether the edge is growing or shrinking.
02
Better expert selection
Identifies which experts are worth your time, from senior executives to operator-level roles closer to real behaviour: procurement managers, sales leaders, dispatchers, practice managers, supplier reps.
03
More repeatable research
The same question, re-run across cohorts, scenarios, and time periods - so you revisit assumptions as new data, earnings, and news land.
Built for institutional research
Grounding
Real data, refreshed every four hours
Cohorts grounded in real census, demographic, and occupational data, refreshed every four hours - so you are not testing an earnings-cycle thesis against a stale model.
Accuracy
Up to 94% overlap with human results
Calibration against University of Michigan data showed up to 94% overlap with human results. Benchmark methodology available for diligence review. See the model check →
Provenance
Inspectable by design
Outputs linked to sourced research packets; cohort design is inspectable. The provenance behind every read is open to your research and diligence teams.
Compliance
No MNPI by construction
Designed to avoid MNPI solicitation by construction - synthetic cohorts have no insider knowledge to manage, log, or monitor.
Gives analysts evidence to weigh - the investment call stays theirs.
Design Partner Programme
Bring two live investment questions
Thesis Lab will run synthetic expert cohorts and channel checks, then compare the outputs against your existing expert-network workflow.
The Questions Funds Ask Us
We're already doing this with ChatGPT / Claude.
Then you've hit the data-staleness wall - frontier models train to a fixed cutoff, so an earnings-cycle thesis gets tested against last year's world. Thesis Lab's cohorts are grounded in real census, occupational, and market data, refreshed every four hours. Cohort design is inspectable and outputs are linked to sourced research packets - traceability an off-the-shelf chatbot can't give your diligence or compliance teams.
Is this a replacement for expert networks?
No - it makes them more productive. Expert networks give you depth from real people; Thesis Lab gives you breadth, structure, and repeatability first. You walk into the expert call with a sharper agenda, a better expert match, and the questions already framed - so the call you were going to book anyway returns far more signal.
How do we know it’s accurate?
Calibration against University of Michigan consumer data showed up to 94% overlap with human results. The full benchmark methodology is available for diligence review - we would rather you stress-test it than take the number on faith.
Can you really build the operator-tier cohort, not just the senior expert?
Yes - that's the point. Cohorts are built from real census and occupational data across customer types, roles, regions, income bands, industries, and buyer segments. That includes the procurement managers, sales leaders, dispatchers, practice managers, and supplier reps expert networks tend to gatekeep - so you build the cohort the thesis needs, not just the one you can recruit.
Will compliance approve it?
It is designed to avoid MNPI solicitation by construction - synthetic cohorts have no insider knowledge to manage, log, or monitor. Cohort design is inspectable and every output is linked to a sourced research packet, so research provenance is auditable end to end.
Where does FishDog fit?
The customer-facing brand is Thesis Lab. FishDog is the platform it is built on - "Powered by FishDog." Every contract, packet, and artifact you receive is Thesis-Lab-branded.
More on Thesis Lab
Read how a buy-side team used Thesis Lab in the field, plus the latest from the product team.