From manual database searches to research rated above the tools already in place

Client

Date

$1B+ global premium appliance manufacturer, emerging technologies lab

09/2026

The challenge

A $1B+ global premium appliance manufacturer runs a small emerging technologies lab that answers research questions for business units across the group. Which companies to partner with, which components exist, what rivals have just done, what the rules will be: every question landed on the same small team, and manual searches of a startup database returned little.

The solution

FifthRow set up a research layer the lab operates itself. A scouting, screening, tracking or monitoring question goes in; a source-traced analysis comes out, on a method that is saved and re-pointed at the next question rather than rebuilt for it.

35,838

analyst-hours equivalent, 12 FTEs

7,641

source-verified research questions answered

Group AI tool comparisonRated above the incumbent tool

Scouting triageThe lab's own framework encoded

Conference coverage481 company profiles in a day

Evidence base7,641 research questions answered

Analyst-hours equivalent35,838 hours saved; equivalent to 12 FTEs

01 — TECHNOLOGY & PARTNER SCOUTING

The lab's core job is finding who is building what, and deciding what to do about it. Its own triage framework, which sorts a candidate into watch, prepare or act on how mature the technology is, was encoded so every candidate is judged the same way.

Core Activities

Searched for companies solving a defined problem, rather than matching a keyword
Scored candidates against written success criteria the lab set itself
Sorted each candidate into watch, prepare or act on technology maturity
Ran the same triage with and without the group's own product context, to see what each frame surfaced
Chained discovery into deep dives on the strongest candidates and their nearest neighbours

The Results

A comparable read on every candidate in a space with a maturity call attached, so a partnership conversation opens from a position rather than from a list of names.

7,252

analyst-hours equivalent, scouting and triage

02 — SPECIFICATION-LED TECHNOLOGY SCREENING

Engineers inside the business send the lab component questions with hard numbers attached. Screening was built to run against those constraints rather than around them, and anything that misses one comes back as a candidate rather than a match.

Core Activities

Took the engineer's own constraints as the filter: dimensions, operating range, medium, drive type
Required every constraint to be evidenced on the manufacturer's own page before qualifying an item
Marked partial matches as candidates rather than promoting them into the shortlist
Covered the maturity span from published research through to shipping product
Returned the supplier landscape alongside the shortlist, so the next search starts warmer

The Results

A shortlist an engineer can act on and a supplier picture they can extend, with the assumptions behind each entry stated rather than buried, and short enough to review in a sitting.

TRL 1 to 9

maturity span covered in one screen

03 — COMPETITOR & EMERGING-PLAYER TRACKING

In a fast-moving category the useful question is not who the competitors are but what each of them has just done. One run covers eight kinds of signal on a company, so a read is complete rather than whatever happened to surface that week.

Core Activities

Tracked product and strategic announcements, funding and growth signals, leadership moves and partnerships
Added regulatory exposure, brand positioning, market signals and acquisition activity to the same read
Ran gap, similarity and share analyses across a whole competitive set, not company by company
Re-ran the same tracking on the same players, so one period reads against the last
Held one output shape across the set, so companies can be compared rather than only described

The Results

A per-company picture that stays comparable across a set and across time, which is what turns competitor news into a position the business can hold.

8 categories

of competitor signal in one run

04 — CROSS-MARKET REGULATORY MONITORING

A product category can be shaped by rules that differ between markets and between levels of government. The lab needed to see what is in force, what is coming, and what either would cost a specific part of the business.

Core Activities

Surfaced emerging rules, policy changes, funding mechanisms and permitting developments in a category
Compared the same question across markets and across levels of government
Assessed what a change means for a named part of the business, rather than in the abstract
Separated settled requirements from proposals still moving through the process
Re-ran the same scan on a new timeframe as the picture moved

The Results

A market-by-market regulatory position with an impact assessment attached, which is what a product team needs before it commits to a design.

5,127

analyst-hours equivalent, regulatory monitoring

05 — CONFERENCE INTELLIGENCE AT EXHIBITOR SCALE

A trade show is several hundred companies and a week in which nobody can meet them all. The lab turned the exhibitor floor into a profiled, verified dataset rather than a stack of business cards.

Core Activities

Profiled the exhibitor list ahead of the event, then enriched it afterwards with media, releases and company sites
Identified and verified each company's website in bulk, so a profile points somewhere real
Cut the floor into sections and produced a report per section, rather than one undifferentiated dump
Layered a trend read across the sections, so themes surface above individual exhibitors
Re-ran the same routine at the following year's event instead of starting again

The Results

A verified, profiled read of an entire exhibitor floor, sectioned for the teams that care about each part of it, delivered in the weeks after the event rather than the months.

481

company profiles built in a single day

What it proved

Five workstreams ran alongside one another: scouting and triage, screening against engineering constraints, competitor and emerging-player tracking, cross-market regulatory monitoring, and conference intelligence at exhibitor scale. Across the engagement that is 2,237 research studies over 6,724 analysis steps and 39,428 sources, answering 7,641 research questions from them, on 123 research templates so a repeat study starts from a working method rather than a blank brief.

The lab now answers the group's research questions from a method rather than from whoever has time. Its own watch, prepare, act triage runs as a system, so a candidate technology is judged the same way every time, and the source-breadth standard the lab set for itself travels with every answer. When one of its reports was put beside the general AI tools already in use across the group, the business unit that would consume the output judged the report the stronger of the two, and the use case was taken onto the group's internal board of approved AI use cases. Across those 2,237 runs the platform records 35,838 analyst-hours saved, the equivalent of 12 full-time analysts over the period.

Results

Metric	Benchmark	Result	Improvement
Partner and supplier discovery	Manual database searches returning few candidates	Ranked candidate sets against written criteria	Coverage no longer set by one database
Technology screening standard	General AI tools already in use across the group	Report rated stronger by the unit that would use it	Adopted onto the group's use-case board
Scouting triage	Maturity judged case by case, in conversation	The lab's own watch, prepare, act framework encoded	One standard applied to every candidate
Conference intelligence	Exhibitor lists worked through by hand	481 company profiles built in a day	Whole floor read rather than a sample
Analyst-hours saved	A small lab serving business units across the group	35,838 hours across 2,237 runs	Equivalent of adding 12 full-time analysts over the period

ENCODED TRIAGE

A candidate technology is sorted into watch, prepare or act on its maturity, so the same judgement is applied whoever runs the search.

SOURCE-BREADTH STANDARD

Each system carries a minimum on how many independent sources and what kinds must stand behind an answer, so rigour is a setting rather than a habit.

CANDIDATES, NOT MATCHES

An item that misses one stated constraint is returned as a candidate rather than promoted, so a shortlist can be trusted at face value.

BULK ENTITY ENRICHMENT

Hundreds of companies are profiled and their sites verified in one pass, so a long list becomes a working dataset instead of a research backlog.

MULTI-SIGNAL COMPETITOR READS

Eight kinds of corporate signal arrive in a single read per company, so a competitor picture is complete rather than whatever surfaced that week.

TRANSFERABLE ROUTINES

A routine proven on one business unit's question is re-pointed at the next one, so the second team's answer starts from a working method.

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