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.
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.
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.
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.
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.
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
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.
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

