🎉 We hit $10M ARR!
$600k to $10m in 1.5 years. Our entire GTM is powered by our own APIs.
🎉 We hit $10M ARR in 1.5 years!
🎉 We hit $10M ARR!
$600k to $10m in 1.5 years. Our entire GTM is powered by our own APIs.
Juicebox alternative
The Best Juicebox Alternative for Recruiting Teams
Juicebox made plain-English candidate search easy. Crustdata gives recruiting teams the real-time data layer to build that search, and the rest of their sourcing, on their own terms.
If you are sourcing in Juicebox today, that plain-English search box is where most of the work happens. Many teams reach a point where it becomes the ceiling. Crustdata gives those teams a real-time data layer to build their own sourcing on, instead of working inside a fixed search interface. You decide the filters, the scoring, and the output.
If you are sourcing in Juicebox today, that plain-English search box is where most of the work happens. Many teams reach a point where it becomes the ceiling. Crustdata gives those teams a real-time data layer to build their own sourcing on, instead of working inside a fixed search interface. You decide the filters, the scoring, and the output.
If you are sourcing in Juicebox today, that plain-English search box is where most of the work happens. Many teams reach a point where it becomes the ceiling. Crustdata gives those teams a real-time data layer to build their own sourcing on, instead of working inside a fixed search interface. You decide the filters, the scoring, and the output.
• crustdata connected
Find me senior robotics engineers who have shipped on real hardware.
Rank them on: hardware they have actually shipped,
then years in robotics, then whether they look open to moving.
• crustdata connected
Find me senior robotics engineers who have shipped on real hardware.
Rank them on: hardware they have actually shipped,
then years in robotics, then whether they look open to moving.
RANKED ON YOUR RUBRIC
RANKED ON YOUR RUBRIC
used Crustdata /candidate-sourcing
used Crustdata /candidate-sourcing
Daniel R
Senior Robotics SWE
·
moved 3w ago
94
Daniel R
Senior Robotics SWE
·
moved 3w ago
94
Daniel R
Senior Robotics SWE
·
moved 3w ago
94
Gia
Staff Percepton Eng
·
open to work
88
Gia
Staff Percepton Eng
·
open to work
88
Gia
Staff Percepton Eng
·
open to work
88
Samuel M
ML Engineer
·
perception
61
Samuel M
ML Engineer
·
perception
61
Samuel M
ML Engineer
·
perception
61
Real-time
Real-time
Continuously refreshed people and company data, current at the moment you query
Continuously refreshed people and company data, current at the moment you query
Real-time
Continuously refreshed people and company data, current at the moment you query
API, webhooks, MCP
API, webhooks, MCP
Build sourcing into your own workflow, with or without engineers
Build sourcing into your own workflow, with or without engineers
API, webhooks, MCP
Build sourcing into your own workflow, with or without engineers
Usage-based
Usage-based
and tagged — strong, possible, or weak on every result, one call
and tagged — strong, possible, or weak on every result, one call
Usage-based
and tagged — strong, possible, or weak on every result, one call
01 · At a glance
Juicebox vs Crustdata at a glance
Juicebox
Juicebox is an AI candidate sourcing tool. Its natural-language search, branded PeopleGPT, lets recruiters describe who they want in plain English and search across 800M+ professional profiles drawn from 30+ data sources, instead of writing Boolean strings.
Juicebox is an AI candidate sourcing tool. Its natural-language search, branded PeopleGPT, lets recruiters describe who they want in plain English and search across 800M+ professional profiles drawn from 30+ data sources, instead of writing Boolean strings.
Juicebox
Juicebox is an AI candidate sourcing tool. Its natural-language search, branded PeopleGPT, lets recruiters describe who they want in plain English and search across 800M+ professional profiles drawn from 30+ data sources, instead of writing Boolean strings.
Crustdata
Crustdata delivers live candidate and company data through APIs, webhooks, and bulk datasets, so a recruiting team can build sourcing directly into its own workflow. The same data also runs inside Claude through MCP, which lowers the technical bar for teams without engineers.
Crustdata delivers live candidate and company data through APIs, webhooks, and bulk datasets, so a recruiting team can build sourcing directly into its own workflow. The same data also runs inside Claude through MCP, which lowers the technical bar for teams without engineers.
Crustdata
Crustdata delivers live candidate and company data through APIs, webhooks, and bulk datasets, so a recruiting team can build sourcing directly into its own workflow. The same data also runs inside Claude through MCP, which lowers the technical bar for teams without engineers.
Dimension
Dimension
Juicebox
Juicebox
Crustdata
Crustdata
What it is
What it is
•
•
AI candidate sourcing tool, plain-English search branded PeopleGPT
AI candidate sourcing tool, plain-English search branded PeopleGPT
✓
✓
Real-time B2B data API and data layer
Real-time B2B data API and data layer
How you use it
How you use it
✕
✕
Work inside its search interface
Work inside its search interface
✓
✓
APIs, webhooks, and bulk datasets, or in Claude via MCP
APIs, webhooks, and bulk datasets, or in Claude via MCP
Data model
Data model
•
•
Aggregated database, 800M+ profiles from 30+ sources
Aggregated database, 800M+ profiles from 30+ sources
✓
✓
Real-time, continuously refreshed
Real-time, continuously refreshed
Delivery
Delivery
•
•
Web interface
Web interface
✓
✓
APIs, webhooks (Watcher), bulk datasets
APIs, webhooks (Watcher), bulk datasets
Fits your own workflow
Fits your own workflow
✕
✕
Limited to the interface
Limited to the interface
✓
✓
Build your own, including Claude and MCP
Build your own, including Claude and MCP
Recruiting features
Recruiting features
•
•
Natural-language search across 800M+ profiles
Natural-language search across 800M+ profiles
✓
✓
Natural language plus 60+ filters, any criteria combination
Natural language plus 60+ filters, any criteria combination
Data depth
Data depth
•
•
Aggregated profile records
Aggregated profile records
✓
✓
Full work history with dates, education, skills, 200+ data points
Full work history with dates, education, skills, 200+ data points
Recruiting workflow
Recruiting workflow
•
•
Shortlisting and outreach in the interface
Shortlisting and outreach in the interface
✓
✓
Recruiting skills in Claude, talent-movement watchers, your own scoring
Recruiting skills in Claude, talent-movement watchers, your own scoring
02 · The ceiling
Where Juicebox works well, and where teams outgrow it
✓
Where it works well
Juicebox is fast for plain-English candidate search, which is why teams reach for it early. You type who you want in everyday language and get a list back in seconds, with almost no setup. For ad-hoc sourcing, a quick shortlist, or a one-off role, that speed is real and worth having.
Juicebox is fast for plain-English candidate search, which is why teams reach for it early. You type who you want in everyday language and get a list back in seconds, with almost no setup. For ad-hoc sourcing, a quick shortlist, or a one-off role, that speed is real and worth having.
✓
Where it works well
Juicebox is fast for plain-English candidate search, which is why teams reach for it early. You type who you want in everyday language and get a list back in seconds, with almost no setup. For ad-hoc sourcing, a quick shortlist, or a one-off role, that speed is real and worth having.
▲
Where teams outgrow it
Teams outgrow Juicebox when they need to shape the underlying data, keep it current, and build it into their own sourcing workflow rather than work inside one search interface. A few limits tend to show up as a team grows.
Teams outgrow Juicebox when they need to shape the underlying data, keep it current, and build it into their own sourcing workflow rather than work inside one search interface. A few limits tend to show up as a team grows.
✕
You work inside its interface, so you cannot reshape the data or control how results are scored and returned.
You work inside its interface, so you cannot reshape the data or control how results are scored and returned.
✕
It runs on an aggregated profile database, and aggregated databases can age between refreshes. Juicebox does not publish an update cadence.
It runs on an aggregated profile database, and aggregated databases can age between refreshes. Juicebox does not publish an update cadence.
✕
You cannot build it into your own tooling or an automated workflow.
You cannot build it into your own tooling or an automated workflow.
✕
Cost scales per seat and per agent, as the team grows.
Cost scales per seat and per agent, as the team grows.
▲
Where teams outgrow it
Teams outgrow Juicebox when they need to shape the underlying data, keep it current, and build it into their own sourcing workflow rather than work inside one search interface. A few limits tend to show up as a team grows.
✕
You work inside its interface, so you cannot reshape the data or control how results are scored and returned.
✕
It runs on an aggregated profile database, and aggregated databases can age between refreshes. Juicebox does not publish an update cadence.
✕
You cannot build it into your own tooling or an automated workflow.
✕
Cost scales per seat and per agent, as the team grows.
"senior robotics engineers, open to moving"
INSIDE A FIXED INTERFACE
One list
as returned
Their scoring
not shown
Nothing to build on
UI only
ON A DATA LAYER
Your filters
60+
Your scoring
200+ fields
Your output
API · webhook · MCP
"senior robotics engineers, open to moving"
INSIDE A FIXED INTERFACE
One list
as returned
Their scoring
not shown
Nothing to build on
UI only
ON A DATA LAYER
Your filters
60+
Your scoring
200+ fields
Your output
API · webhook · MCP
None of this makes Juicebox a poor tool. It is a strong search interface that fits some teams well. The question is whether a search box is where your sourcing should live as you scale. If you want to see how the field lines up, Crustdata's main alternatives comparison lays it out.
Same plain-English query. One surface hands you a list; the other hands you the data.
03 · What's different
How Crustdata is different:
real-time data you build sourcing on
Crustdata delivers candidate and company data through APIs, webhooks, and bulk datasets, with ready-made recruiting skills that run in Claude, watchers for talent movement, and scoring you define yourself.
One data layer, Four ways in
Rest API
Live query
Watcher Webhook
push on change
Bulk dataset
monthly
Claude / MCP
plain language
Delivery that fits your stack.
You reach the data through APIs, Watcher webhooks, and bulk datasets. It also runs inside Claude through MCP, so you can work with live data in plain language.
One data layer, Four ways in
Rest API
Live query
Watcher Webhook
push on change
Bulk dataset
monthly
Claude / MCP
plain language
Delivery that fits your stack.
You reach the data through APIs, Watcher webhooks, and bulk datasets. It also runs inside Claude through MCP, so you can work with live data in plain language.
Recruiting, ouT of the box
Skills in claude
candidate sourcing · contact enrichment · market map
Job Change detected
watcher
Open to work
availability
Your scoring
200+ fields
Built for recruiting.
Ready-made recruiting skills run in Claude on live Crustdata data, so sourcing, enrichment, and market mapping work without building anything first. Watchers flag job changes, content activity, and availability signals like an open-to-work status. And the scoring is yours: rank candidates on the criteria you hire against, on 200+ data points, rather than on a rank someone else fixed for you.
Recruiting, ouT of the box
Skills in claude
candidate sourcing · contact enrichment · market map
Job Change detected
watcher
Open to work
availability
Your scoring
200+ fields
Built for recruiting.
Ready-made recruiting skills run in Claude on live Crustdata data, so sourcing, enrichment, and market mapping work without building anything first. Watchers flag job changes, content activity, and availability signals like an open-to-work status. And the scoring is yours: rank candidates on the criteria you hire against, on 200+ data points, rather than on a rank someone else fixed for you.
04 · Data freshness
Data freshness: live data vs aggregated profiles
Crustdata keeps candidate and company data continuously refreshed in real time, so results reflect the current state when you search.
Day 6 · takes a new job
Acme · Senior Eng
Nubank · Staff Eng · open to work
current
still says Acme · Senior Eng
24 Days behind
Acme · Senior Eng
Day 14 · you search
crustdata • Live
aggregated store - Refreshed on a cycle
Day 0
Day 10
Day 20
Day 30
Refresh
One month refresh cycle
Day 6 · takes a new job
Acme · Senior Eng
Nubank · Staff Eng · open to work
current
still says Acme · Senior Eng
24 Days behind
Acme · Senior Eng
Day 14 · you search
crustdata • Live
aggregated store - Refreshed on a cycle
Day 0
Day 10
Day 20
Day 30
Refresh
One month refresh cycle
Day 6 · takes a new job
Acme · Senior Eng
Nubank · Staff Eng · open to work
current
still says Acme · Senior Eng
24 Days behind
Acme · Senior Eng
Day 14 · you search
crustdata • Live
aggregated store - Refreshed on a cycle
Day 0
Day 10
Day 20
Day 30
Refresh
One month refresh cycle
Same candidate, same 30 days. One record moves when they do; the other waits for the next refresh.
Same candidate, same 30 days. One record moves when they do; the other waits for the next refresh.
An aggregated profile database is a store that gets refreshed on a cycle, so a record is only as current as the last refresh. Real-time data is current at the moment you query it. Crustdata's API delivers live signals, while its bulk datasets refresh monthly, so a team picks the freshness that fits the job.
An aggregated profile database is a store that gets refreshed on a cycle, so a record is only as current as the last refresh. Real-time data is current at the moment you query it. Crustdata's API delivers live signals, while its bulk datasets refresh monthly, so a team picks the freshness that fits the job.
An aggregated profile database is a store that gets refreshed on a cycle, so a record is only as current as the last refresh. Real-time data is current at the moment you query it. Crustdata's API delivers live signals, while its bulk datasets refresh monthly, so a team picks the freshness that fits the job.
This matters more in recruiting than in almost any other use case. Role changes, availability, and emails and phone numbers move quickly, and reaching someone on the first day beats reaching them weeks later. That is the heart of how real-time data changes sourcing.
This matters more in recruiting than in almost any other use case. Role changes, availability, and emails and phone numbers move quickly, and reaching someone on the first day beats reaching them weeks later. That is the heart of how real-time data changes sourcing.
This matters more in recruiting than in almost any other use case. Role changes, availability, and emails and phone numbers move quickly, and reaching someone on the first day beats reaching them weeks later. That is the heart of how real-time data changes sourcing.
Dimension
Dimension
Crustdata
Crustdata
Juicebox
Juicebox
Data model
Data model
✓
✓
Real-time people and company data, plus monthly-refreshed bulk datasets.
Real-time people and company data, plus monthly-refreshed bulk datasets.
Aggregated profile database of 800M+ profiles from 30+ sources.
Aggregated profile database of 800M+ profiles from 30+ sources.
Update cadence
Update cadence
✓
✓
Real-time signals through the API. Monthly refresh for bulk datasets.
Real-time signals through the API. Monthly refresh for bulk datasets.
?
?
Not published by Juicebox.
Not published by Juicebox.
Build on it (API, webhooks, MCP)
Build on it (API, webhooks, MCP)
✓
✓
Yes. APIs, Watcher webhooks, and MCP in Claude.
Yes. APIs, Watcher webhooks, and MCP in Claude.
✕
✕
No. Used through its search interface.
No. Used through its search interface.
Freshness alerts (job change, availability)
Freshness alerts (job change, availability)
✓
✓
Yes. Talent-movement watchlists.
Yes. Talent-movement watchlists.
?
?
Not documented.
Not documented.
05 · Claude + MCP
Build your own sourcing workflow with Crustdata and Claude
Crustdata runs inside Claude through MCP, so a recruiting team can build a custom sourcing workflow on its data without adapting to a vendor's interface.
Crustdata runs inside Claude through MCP, so a recruiting team can build a custom sourcing workflow on its data without adapting to a vendor's interface.
Claude
Claude
Claude
Opus 4.8
Opus 4.8
Opus 4.8
Find senior perception engineers at robotics and autonomy startups who have shipped on real hardware. Rank them on my scoring, and flag anyone who just moved or is open to work.
Find senior perception engineers at robotics and autonomy startups who have shipped on real hardware. Rank them on my scoring, and flag anyone who just moved or is open to work.
Find senior perception engineers at robotics and autonomy startups who have shipped on real hardware. Rank them on my scoring, and flag anyone who just moved or is open to work.
Crustdata
Crustdata
Crustdata
candidate-sourcing
candidate-sourcing
candidate-sourcing
searched 1B+ profiles · 612 matches
searched 1B+ profiles · 612 matches
searched 1B+ profiles · 612 matches
Crustdata
Crustdata
Crustdata
watchers
watchers
watchers
job-change and open-to-work signals attached · 37 moved this quarter
job-change and open-to-work signals attached · 37 moved this quarter
job-change and open-to-work signals attached · 37 moved this quarter
Crustdata
Crustdata
Crustdata
contact-enrichment
contact-enrichment
contact-enrichment
54 ranked on your scoring · 49 work emails found
54 ranked on your scoring · 49 work emails found
54 ranked on your scoring · 49 work emails found
Candidate
Candidate
Candidate
Signal
Signal
Signal
Contact
Contact
Contact
PN
PN
PN
Priya N.
Priya N.
Priya N.
Staff Perception Engineer · autonomy startup
Staff Perception Engineer · autonomy startup
Staff Perception Engineer · autonomy startup
open to work
open to work
open to work
priya@…
priya@…
priya@…
DR
DR
DR
Daniel R.
Daniel R.
Daniel R.
Senior Robotics SWE · drone delivery
Senior Robotics SWE · drone delivery
Senior Robotics SWE · drone delivery
changed job 3w ago
changed job 3w ago
changed job 3w ago
daniel@…
daniel@…
daniel@…
SM
SM
SM
Sofia M.
Sofia M.
Sofia M.
ML Engineer, Perception · AV hardware
ML Engineer, Perception · AV hardware
ML Engineer, Perception · AV hardware
5 yrs on real hardware
5 yrs on real hardware
5 yrs on real hardware
sofia@…
sofia@…
sofia@…
AK
AK
AK
Aaron K.
Aaron K.
Aaron K.
Lead Controls Engineer · humanoid robotics
Lead Controls Engineer · humanoid robotics
Lead Controls Engineer · humanoid robotics
open to work
open to work
open to work
aaron@…
aaron@…
aaron@…
Showing 4 of 54 · full list written to your sheet
Showing 4 of 54 · full list written to your sheet
Showing 4 of 54 · full list written to your sheet
+
+
+
Narrow to people within 30 miles of the office…
Narrow to people within 30 miles of the office…
Narrow to people within 30 miles of the office…
MCP, short for Model Context Protocol, is the connection that lets Claude work directly with Crustdata's data. In practice, someone who is not an engineer can describe a sourcing workflow in plain language and run it on top of live data. You set the filters, the scoring, and the output, so the data fits your process instead of the reverse. A two-person agency did exactly this, and their story is next.
MCP, short for Model Context Protocol, is the connection that lets Claude work directly with Crustdata's data. In practice, someone who is not an engineer can describe a sourcing workflow in plain language and run it on top of live data. You set the filters, the scoring, and the output, so the data fits your process instead of the reverse. A two-person agency did exactly this, and their story is next.
06 · Proof
How The Firm switched off Juicebox and grew sourcing capacity 50%
Crustdata runs inside Claude through MCP, so a recruiting team can build a custom sourcing workflow on its data without adapting to a vendor's interface.
+50%
+50%
sourcing capacity, no new hire
700+ → 50–60
700+ → 50–60
noisy results narrowed to high-confidence candidates
~2.5 hrs
~2.5 hrs
a full-day search, now
Using Crustdata and Claude, a two-person recruiting agency, The Firm, increased its sourcing capacity by 50% without hiring, cutting more than 700 noisy results down to 50-60 high-confidence candidates.
Using Crustdata and Claude, a two-person recruiting agency, The Firm, increased its sourcing capacity by 50% without hiring, cutting more than 700 noisy results down to 50-60 high-confidence candidates.
The Firm is a two-person agency working in robotics, hardware, and machine learning. They moved off Juicebox and onto a custom Claude skill built on Crustdata's APIs, so their sourcing ran on live data and their own scoring rather than inside a fixed interface.
The Firm is a two-person agency working in robotics, hardware, and machine learning. They moved off Juicebox and onto a custom Claude skill built on Crustdata's APIs, so their sourcing ran on live data and their own scoring rather than inside a fixed interface.
Most of that gain came from speed and focus. A search that used to take a full day now takes about 2.5 hours, which freed the same two people to take on more work without adding a third.
Most of that gain came from speed and focus. A search that used to take a full day now takes about 2.5 hours, which freed the same two people to take on more work without adding a third.
We literally find reasons to say no to people before we work with them. With this workflow, I can take on two or three more clients easily. That's $40,000 to $60,000 a month we've probably had to turn away because we didn't have the capacity.
We literally find reasons to say no to people before we work with them. With this workflow, I can take on two or three more clients easily. That's $40,000 to $60,000 a month we've probably had to turn away because we didn't have the capacity.
Mike Cannon | Co-Founder, The Firm
“
“
Read the full case study →
07 · Pricing
What it costs: Juicebox vs Crustdata pricing
Crustdata is priced on usage through credit-based API access and bulk datasets, rather than on a per-seat subscription like Juicebox.
Juicebox
Per seat
Free
$0
Starter
$119 / seat / mo
Starter, billed yearly
$99 / seat / mo
Growth
$199 / seat / mo
Growth, billed yearly
$179 / seat / mo
Business
Custom
Agents add-on
$199 / agent / mo
Juicebox
Per seat
Free
$0
Starter
$119 / seat / mo
Starter, billed yearly
$99 / seat / mo
Growth
$199 / seat / mo
Growth, billed yearly
$179 / seat / mo
Business
Custom
Agents add-on
$199 / agent / mo
Crustdata
Usage-based
Model
Credit-based API access
Start
Free tier
Baseline data
Bulk datasets
Add-ons
None
Scales with
Volume of data used
Seats
Not what you pay for
The two pricing models are built differently. Crustdata charges on usage, so you pay for the volume of enrichments and searches you run, with bulk datasets available for baseline data and a free tier to start. Juicebox charges per seat, with an optional per-agent add-on, so the bill grows with the size of the team.
The two pricing models are built differently. Crustdata charges on usage, so you pay for the volume of enrichments and searches you run, with bulk datasets available for baseline data and a free tier to start. Juicebox charges per seat, with an optional per-agent add-on, so the bill grows with the size of the team.
As a team scales, the trade-off is clear. You are either paying for more seats on an interface or for the data you actually use.
As a team scales, the trade-off is clear. You are either paying for more seats on an interface or for the data you actually use.
Dimension
Dimension
Juicebox
Juicebox
Crustdata
Crustdata
Model
Model
Per seat. Free $0. Starter $119 per seat monthly ($99 billed yearly). Growth $199 per seat monthly ($179 billed yearly). Business custom.
Per seat. Free $0. Starter $119 per seat monthly ($99 billed yearly). Growth $199 per seat monthly ($179 billed yearly). Business custom.
Usage-based, credit-based API access with a free tier to start, plus bulk datasets.
Usage-based, credit-based API access with a free tier to start, plus bulk datasets.
Add-ons
Add-ons
Agents add-on: $199 per agent monthly.
Agents add-on: $199 per agent monthly.
None; you pay for the data you use.
None; you pay for the data you use.
Scales with
Scales with
Number of seats and agents.
Number of seats and agents.
Volume of data used.
Volume of data used.
Best suits
Best suits
Small fixed teams wanting a search interface.
Small fixed teams wanting a search interface.
Teams scaling sourcing, or building on live data.
Teams scaling sourcing, or building on live data.
08 · Fit check
Who should switch from Juicebox to Crustdata (and who shouldn't)
Switch to Crustdata if any of these describe your team.
✓
You have hit the ceiling of a search interface and want to shape the data yourself.
✓
You have hit the ceiling of a search interface and want to shape the data yourself.
✓
You want to build sourcing into your own workflow, with or without engineers, through Claude.
✓
You want to build sourcing into your own workflow, with or without engineers, through Claude.
✓
You need current, real-time data that reflects the moment you search.
✓
You need current, real-time data that reflects the moment you search.
✓
You are scaling, and per-seat cost is starting to bite.
✓
You are scaling, and per-seat cost is starting to bite.
You want a plug-and-play search interface, no build
You want a plug-and-play search interface, no build
A search tool like Juicebox
You need current, real-time data
You need current, real-time data
Crustdata
You want to build sourcing into your own workflow
You want to build sourcing into your own workflow
Crustdata
You are scaling and per-seat cost is biting
You are scaling and per-seat cost is biting
Crustdata
You want plain-English search and control of the data
You want plain-English search and control of the data
Crustdata, via Claude and MCP
For most growing recruiting teams, the move is worth making. When your sourcing runs on live data and your own scoring, you get more done with the same people, and you stop paying by the seat for a search box you have outgrown.
You can also compare the other alternatives first before you decide.
Ready to source on live data instead of inside a search box?
See how a recruiting team builds its own sourcing on Crustdata, with or without engineers.
FAQ
Products
Popular Use Cases
Competitor Comparisons
95 Third Street, 2nd Floor, San Francisco,
California 94103, United States of America
© 2026 Crustdata Inc.
Products
Popular Use Cases
Competitor Comparisons
95 Third Street, 2nd Floor, San Francisco,
California 94103, United States of America
© 2026 Crustdata Inc.
Products
Popular Use Cases
Competitor Comparisons
95 Third Street, 2nd Floor, San Francisco,
California 94103, United States of America
© 2026 CrustData Inc.