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Watcher API Is live! Real-time signals on key people & accounts

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Watcher API Is live! Real-time signals on key people & accounts

NEW

Watcher API Is live! Real-time signals on key people & accounts

Track promotions, job changes, and funding rounds the moment they happen

Case Study

How Scalis built a true all-in-one recruiting platform with Crustdata's data infrastructure

Company

Scalis

use case

Powering Recruiting Tool

company overview

Scalis is an end-to-end, AI-native recruitment platform that consolidates what historically required six to seven different tools into a single system. From outbound sourcing to signed offer letters, the platform owns the entire hiring workflow and uses the data generated throughout that process to train its recommendation engine and improve match quality over time.

The Challenge

The Challenge

Scalis's vision was to be the single source of truth for recruiting but delivering on that promise required access to billions of data points across companies, candidates, and industries they couldn't practically collect themselves.

Their engineering and product teams set out to build the all-in-one platform, but existing data infrastructure couldn't support the depth their customers needed.


Building In-House Data Infrastructure Wasn't Viable

Scalis initially explored scraping and aggregating data independently, but the scope of the problem made it impractical for a startup to solve alone.

  • The rules, regulations, and infrastructure requirements around data acquisition were cost-prohibitive and a business in itself

  • Engineering resources would be diverted from the core product to building and maintaining data pipelines

  • No single scraping approach could cover the breadth of sources needed, professional work history, company financials, funding data, industry classification

Recruiters Still Had to Go Off-Platform for Context

Even with Scalis handling the hiring workflow end-to-end, customers couldn't get the full picture without leaving the system.

  • Company intelligence, funding data, and industry classification didn't live natively inside the platform

  • Every off-platform click undermined the all-in-one value proposition

  • Customers were maintaining separate subscriptions for data augmentation, email discovery, and people profile intelligence alongside Scalis

Filtering Was Too Shallow to Match How Recruiters Think

Scalis could only filter candidates by 14 data points. But recruiters need far more granularity to find the right talent.

  • An account executive at a seed-stage SaaS company is fundamentally different from one at a Series D enterprise, but Scalis wasn’t able to differentiate this

  • Funding status, company stage, and industry vertical were invisible to the filtering engine

  • Without deep enrichment, the platform couldn't deliver the specificity that mid-market hiring teams demand

Scalis Needed a Partner, Not Just a Vendor

As an early-stage startup, Scalis needed collaborative support on integration strategy, not a data vendor that provides the data and doesn't answer support emails.


There's certain companies where if you're not at a certain size and scale, you're not interesting for them. Crustdata was that in-between. They have the ability to scale and grow with us, but they're willing to be that collaborative partner early on."

There's certain companies where if you're not at a certain size and scale, you're not interesting for them. Crustdata was that in-between. They have the ability to scale and grow with us, but they're willing to be that collaborative partner early on."

There's certain companies where if you're not at a certain size and scale, you're not interesting for them. Crustdata was that in-between. They have the ability to scale and grow with us, but they're willing to be that collaborative partner early on."

The Solution

The Solution

Crustdata provided the data infrastructure layer that turned Scalis's all-in-one vision into a working product.

Reactivating Dormant Talent Pools with Enriched Candidate Data

Scalis's customers had 50,000 to millions of previous applicants sitting as outdated records with the same title, same company, same skills from the day they applied. Crustdata's enrichment layer bridges the gap between a candidate's last application and who they are today.


"Organizations were paying twice if not three times for the same candidate because they had to go back to that same well to get up-to-date information."

"Organizations were paying twice if not three times for the same candidate because they had to go back to that same well to get up-to-date information."

"Organizations were paying twice if not three times for the same candidate because they had to go back to that same well to get up-to-date information."


  • Career moves, title changes, and company transitions filled in automatically since original application

  • Static applicant archives transformed into living, searchable talent pools

  • Recruiters resurface existing candidates instead of paying for redundant sourcing through agencies

Enabling Hyper-Specific Talent Filtering

Crustdata's enrichment took Scalis from 14 filterable data points to over 40, enabling recruiters to precisely define what they're looking for.


"Pre-Crustdata, we were able to filter candidates by like 15 different data points. Post-Crustdata, we're looking at 40-plus. The more specific you can get, the less time you're spending with unqualified candidates."

"Pre-Crustdata, we were able to filter candidates by like 15 different data points. Post-Crustdata, we're looking at 40-plus. The more specific you can get, the less time you're spending with unqualified candidates."

"Pre-Crustdata, we were able to filter candidates by like 15 different data points. Post-Crustdata, we're looking at 40-plus. The more specific you can get, the less time you're spending with unqualified candidates."


  • Filtering granularity became a direct sales driver for new customer acquisition

  • Co-Advantage, a human capital management platform, needed account executives with industry-specific experience and in-office location requirements - Scalis delivered exactly that subset, a key reason they chose the platform

Training the Recommendation Engine

Crustdata's 350+ datapoints give Scalis's matching algorithms the dimensionality to distinguish between superficially similar candidates.


  • Every hiring decision feeds back into the system with richer context from enriched profiles

  • Recommendations compound in quality with each hire and more data leads to better matches

  • Without granular enrichment, the recommendation engine had nothing substantive to learn from

Eliminating the Need to Leave the Platform

By ingesting Crustdata's enrichment data natively, Scalis closed its biggest completeness gap. Recruiters get company intelligence, funding data, and candidate context without ever leaving the system.


"Our customers no longer have to have all these discombobulated solutions - they can just use Scalis. Crustdata is that silent partner in the background that allows us to actually do that."

"Our customers no longer have to have all these discombobulated solutions - they can just use Scalis. Crustdata is that silent partner in the background that allows us to actually do that."

"Our customers no longer have to have all these discombobulated solutions - they can just use Scalis. Crustdata is that silent partner in the background that allows us to actually do that."


  • Company intelligence, funding data, industry classification, and candidate context all available natively

  • Platform consolidation became a direct sales proposition - one subscription replaces multiple point tools

  • Crustdata operates as the invisible data layer powering Scalis's all-in-one promise

Results & Benefits

Results & Benefits

From 14 to 40+ Filterable Data Points


  • More than doubled the precision with which recruiters define and execute searches

  • Directly reduced time spent reviewing unqualified candidates

  • Filtering granularity became a competitive differentiator in sales conversations

Platform Consolidation as a Sales Driver


  • The ability to tell a head of talent "you won't need any other tools" is now a real competitive differentiator

  • Built on Crustdata's data running natively behind the platform

  • Customers log into Scalis and never need to leave for any recruiting context

A Recommendation Engine That Compounds Over Time


  • Every enriched data point trains Scalis's matching algorithms

  • Creates a flywheel: more usage generates better matches, which drives more adoption

  • Richer input data means the platform gets smarter with every hire

Engineering Time Protected

With data infrastructure solved at the provider level, Scalis's team builds their product instead of managing pipelines.


"Being not just the data partner but a strategic partner in terms of how we're actually deploying and implementing it for our customers has been really transformative for us. This is going to be a multi-year relationship and not a one-time bullet."

"Being not just the data partner but a strategic partner in terms of how we're actually deploying and implementing it for our customers has been really transformative for us. This is going to be a multi-year relationship and not a one-time bullet."

"Being not just the data partner but a strategic partner in terms of how we're actually deploying and implementing it for our customers has been really transformative for us. This is going to be a multi-year relationship and not a one-time bullet."


  • Crustdata's wide dataset and Slack-accessible support replaced the need for in-house data engineering

  • Integration guidance on how data gets ingested and deployed within the platform

  • Faster iteration on the core recruiting product