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Kelp Deal Identification is a multi-data-source, customisable deal identification and shortlisting tool to support faster, better decision making.

Look Further and Deeper

Kelp DI is a uniquely broad, customisable deal-sourcing solution that lets you efficiently sift and prioritize potential fits. Spread your net wider, reach into previously unseen corners, and dive deeper to find the deals that are right for you.

Combine Structured and Unstructured Data Sources

Kelp DI aggregates and triages paid, public and proprietary data sources, overlays user-specific metrics and surface non-financial data to provide textured insights that drive faster and better decision making. It quickly identifies likely fits and eliminates resource-consuming bad fits to give you better-qualified, shorter shortlists.

Build Relationships and Angles

Armed with new perspectives, novel insights and deeper understanding, you can approach prospects with confidence, build relationships and develop engaging deal proposals quickly and before competitive bidding raises prices.

Discover disruptive/sunrise themes

Scan or deep dive into themes of choice

Identify prospects early

Build relationships and angles sooner

UP AND RUNNING IN WEEKS

Drive Deeper Insights and Better Decisions

Kelp DI can be up and running in 6–12 weeks. Depending on your specification, it can work with or replace your existing tools, taking information from them where required and combining it with open search data.

Phase 1

  • Uncover companies, market deals and fund managers

  • Aggregation of financials and transactions data sources

  • Peer benchmarking

  • Company one pager

  • Asset scoring

Phase 2

  • Shortlist and hotlist criteria

  • Personalized metrics

  • Sector-specific one pagers and tear sheets

Phase 3

  • Sourcing dashboards

  • External search (outside geos of interest)

Kelp DI’s UI is intuitive and highly configurable, allowing you to customize your searches and compare and score prospects across a wide range of parameters quickly and with minimal training.

Our support team are on-hand to deploy and provide initial support so that your analysts and research teams can very quickly begin using Kelp DI productively. In just weeks, they’ll be using it to generate novel insights and identify qualified leads to support your deal-sourcing requirements.

CASE STUDY

CASE STUDY

Surfacing Leads in an Under-invested Sector

Surfacing Leads in an Under-invested Sector

Surfacing Leads in an Under-invested Sector

A private equity firm in India used Kelp DI to conduct a tailored search and surface hundreds of prospective assets in an attractive but underinvested sector using its in-house criteria – leadership, financials and primary investments only.

The Setting

The Setting

US$

0.0

trn

Sector Worth

US$

0.0

trn

Sector Worth

US$

0.0

trn

Sector Worth

Not previously invested by financial sponsors

Not previously invested by financial sponsors

Few live deals

Few live deals

Focus on export of tech services from India to US

Focus on export of tech services from India to US

Historically low discoverability

Historically low discoverability

Targeting US$75–200m in revenue

Targeting US$75–200m in revenue

Previous searches:

Previous searches:

2,600 companies
12 months' effort
Numerous false positives

2,600 companies
12 months' effort
Numerous false positives

the outcome

the outcome

In a search that took the client less than two weeks from in-depth internal briefing to final outcome, Kelp DI generated a list of 1,300 unique companies, rank ordered by the firm’s own metrics:

CASE STUDY

CASE STUDY

Validating Prospect List

Validating Prospect List

A Middle East client in the tech-enabled services sector tasked Kelp DI with validating its pre-existing prospect list of 221 companies. Kelp DI achieved a significant multiplier effect using public data to seek out previously unrecognized companies of interest that would strengthen the client’s technology sector thesis.

The challenge

Hard-to-classify sector participants

Separating product and service-delivery revenue in companies that do both

Multiple languages

No access to paid data sources

Identify companies based on revenue, growth or proxies, Europe presence and B2B business segments

the outcome

the outcome

Kelp DI delivered a 3-5x increase in companies of interest, minimizing missed opportunities despite huge data and classification problems and enabling it to redirect the resources of a 10-12-strong full-time team over several months.

Results

Results

0

Companies of interest identified

0

Companies of interest identified

0

Companies of interest identified

0

Novel prospects validated (43% increase)

0

Novel prospects validated (43% increase)

0

Novel prospects validated (43% increase)

0

%

Reduction in effort

0

%

Reduction in effort

0

%

Reduction in effort

5-0


Eliminated misclassifications

0

No data fees

0

No data fees

0

No data fees

0

wks

Search completed in two weeks

0

wks

Search completed in two weeks

0

wks

Search completed in two weeks

London

13 Hanover Square

Mayfair, London
W1S 1HN

+44 (0)203 633 4855

Mumbai

601, Centre Point

JB Nagar

Andheri (E), 400059

©️ 2025 Full Value Technologies Pvt. Ltd

London

13 Hanover Square

Mayfair, London
W1S 1HN

+44 (0)203 633 4855

Mumbai

601, Centre Point

JB Nagar

Andheri (E), 400059

©️ 2025 Full Value Technologies Pvt. Ltd

London

13 Hanover Square

Mayfair, London
W1S 1HN

+44 (0)203 633 4855

Mumbai

601, Centre Point

JB Nagar

Andheri (E), 400059

©️ 2025 Full Value Technologies Pvt. Ltd