Data Scouting Services

Discover new and unpublished alpha-generating data. Partner with with Kamba's Data Scouting team.

Elevate your data sourcing process by partnering with Kamba’s Data Scouting team. Focus on what matters: finding the right data.

Embark on a journey towards efficient and unbiased data acquisition.

Why Choose Kamba’s Scouting Services?

Access & Intelligence

Kamba maintains the largest network of data suppliers in the industry, giving you unparalleled access to alternative new and unpublished data sources. Our extensive connections ensure that you can find the exact data you need to drive your success.

Vetted Data

Our team of analysts, dedicated to verifying the quality of alternative datasets provide expert advise to ensure you receive reliable, high-quality data. Trust in Kamba to deliver data that meets your standards.

Unbiased Advice

We don’t buy or sell data, nor do we require data providers to pay revenue shares or commissions. This ensures that our guidance remains completely impartial hands on support, tailored to your needs.

Comprehensive Support

Data teams accelerate the discovery of data products by accessing lists of curated prospects scouted by our team.

Extensive Databases

Access our database of 8,500 products and 3,000 suppliers. We use this selection and run a first pass.

Anonymous Requests

Anonymously request suppliers for new offerings without revealing your identity. We protect your privacy while expanding your data options.

Due Diligence

Simplify your legal team’s workload throughout the due diligence process. We provide the documentation and facilitate the evaluations.

Secure Communication

Communicate anonymously and securely with suppliers. Maintain confidentiality and privacy throughout your interactions.

Contract Negotiations

Eliminate friction in the contracting process with our expert assistance. We help you navigate negotiations smoothly and efficiently.

Data Validation

Avoid Low-Quality Data. We provide data samples and resources for back-testing, easing the burden on your data science team.