our platform
AI-native
hiring
precision.
precision.
Built by data practitioners, our platform uses LLMs where they add real value.
our platform
AI-native
hiring
precision.
precision.
Built by data practitioners, our platform uses LLMs where they add real value.
our platform
AI-native
hiring
precision.
precision.
Built by data practitioners, our platform uses LLMs where they add real value.
our platform
AI-native
hiring
precision.
precision.
Built by data practitioners, our platform uses LLMs where they add real value.
our platform
AI-native
hiring
precision.
precision.
Built by data practitioners, our platform uses LLMs where they add real value.
We run the engine end-to-end, while your team logs in to see the hiring funnel in real time. Calimala combines a boutique talent partner with an AI-native control center for hiring.
Explore Shortlists
01
Log in to see shortlists curated by human experts and ranked by AI against your requirements - no inbox hunting, no spreadsheet chaos.
Role-specific scorecards and match percentages
Clear flags on must-have skills and gaps
Notes, recommendations, and descriptive overview of the profile.
Explore Shortlists
01
Log in to see shortlists curated by human experts and ranked by AI against your requirements - no inbox hunting, no spreadsheet chaos.
Role-specific scorecards and match percentages
Clear flags on must-have skills and gaps
Notes, recommendations, and descriptive overview of the profile.
Explore Shortlists
01
Log in to see shortlists curated by human experts and ranked by AI against your requirements - no inbox hunting, no spreadsheet chaos.
Role-specific scorecards and match percentages
Clear flags on must-have skills and gaps
Notes, recommendations, and descriptive overview of the profile.
Compare Profiles
02
Review candidates side by side with a common language: structured scorecards, risk flags, and commentary you can trust.
Standardised profiles across all candidates
Transparency on rates and start dates
Coverage of experience and skills vs job spec
Interview feedback captured in one place
Compare Profiles
02
Review candidates side by side with a common language: structured scorecards, risk flags, and commentary you can trust.
Standardised profiles across all candidates
Transparency on rates and start dates
Coverage of experience and skills vs job spec
Interview feedback captured in one place
Compare Profiles
02
Review candidates side by side with a common language: structured scorecards, risk flags, and commentary you can trust.
Standardised profiles across all candidates
Transparency on rates and start dates
Coverage of experience and skills vs job spec
Interview feedback captured in one place
Behind the scenes, Calimala is powered by a new way to search for talent. This means you benefit from a wider pool of available candidates at an unrivaled speed.
our competitive edge
LLM-Based People Search 3.0
Natural Language Search
Our LLMs read full CVs, job specs, and project descriptions to understand role context, seniority, and constraints, then surface candidates who fit — even when titles and buzzwords don’t match.
Recommendation Explainability
Every recommendation comes with a structured scorecard that shows how a candidate maps to your requirements and where the trade-offs are.
Methodology
Methodology
LLM-Based People Search 3.0
Natural Language Search
Our LLMs read full CVs, job specs, and project descriptions to understand role context, seniority, and constraints, then surface candidates who fit — even when titles and buzzwords don’t match.
Natural Language Search
Our LLMs read full CVs, job specs, and project descriptions to understand role context, seniority, and constraints, then surface candidates who fit — even when titles and buzzwords don’t match.
Recommendation Explainability
Every recommendation comes with a structured scorecard that shows how a candidate maps to your requirements and where the trade-offs are.
Recommendation Explainability
Every recommendation comes with a structured scorecard that shows how a candidate maps to your requirements and where the trade-offs are.
Methodology
Methodology
LLM-Based People Search 3.0
Natural Language Search
Our LLMs read full CVs, job specs, and project descriptions to understand role context, seniority, and constraints, then surface candidates who fit — even when titles and buzzwords don’t match.
Natural Language Search
Our LLMs read full CVs, job specs, and project descriptions to understand role context, seniority, and constraints, then surface candidates who fit — even when titles and buzzwords don’t match.
Recommendation Explainability
Every recommendation comes with a structured scorecard that shows how a candidate maps to your requirements and where the trade-offs are.
Recommendation Explainability
Every recommendation comes with a structured scorecard that shows how a candidate maps to your requirements and where the trade-offs are.
candidate reports
candidate reports
candidate reports
Experience profile submissions through a different lens
We turn CVs, LinkedIn profiles, and interviews into structured candidate reports built for Data & AI hiring. Instead of raw submissions, your team gets a clear narrative, risk view, and recommendation for every profile.
Overview
Skills Match
Achievements
Culture Fit
Each report combines a clear view of the candidate’s track record with transparent day rate, location, and availability — so you can assess fit and cost in one place.
Our LLM models map the role requirements to the candidate’s experience line by line, highlighting proven skills, adjacent capabilities, and gaps. You get an explainable match score with the evidence behind it.
We surface concrete outcomes: shipped products, delivered projects, migrations, model launches, and platform improvements - so you can quickly see who has done work that looks like your roadmap.
We combine interview feedback with behavioural signals from the candidate’s history, giving you a nuanced view of how they’re likely to operate inside your teams.
Overview
Skills Match
Achievements
Culture Fit
Each report combines a clear view of the candidate’s track record with transparent day rate, location, and availability — so you can assess fit and cost in one place.
Our LLM models map the role requirements to the candidate’s experience line by line, highlighting proven skills, adjacent capabilities, and gaps. You get an explainable match score with the evidence behind it.
We surface concrete outcomes: shipped products, delivered projects, migrations, model launches, and platform improvements - so you can quickly see who has done work that looks like your roadmap.
We combine interview feedback with behavioural signals from the candidate’s history, giving you a nuanced view of how they’re likely to operate inside your teams.
Overview
Skills Match
Achievements
Culture Fit
Each report combines a clear view of the candidate’s track record with transparent day rate, location, and availability — so you can assess fit and cost in one place.
Our LLM models map the role requirements to the candidate’s experience line by line, highlighting proven skills, adjacent capabilities, and gaps. You get an explainable match score with the evidence behind it.
We surface concrete outcomes: shipped products, delivered projects, migrations, model launches, and platform improvements - so you can quickly see who has done work that looks like your roadmap.
We combine interview feedback with behavioural signals from the candidate’s history, giving you a nuanced view of how they’re likely to operate inside your teams.
selection process
selection process
selection process
Less friction, more momentum.
Most providers still manage hiring by email. Calimala replaces that with a single, governed workspace where roles, shortlists, interviews, feedback, and offers are managed end-to-end.
Most providers still manage hiring by email. Calimala replaces that with a single, governed workspace where roles, shortlists, interviews, feedback, and offers are managed end-to-end.
Most providers still manage hiring by email. Calimala replaces that with a single, governed workspace where roles, shortlists, interviews, feedback, and offers are managed end-to-end.
Stakeholders see a real-time view of every seat, who is in process, decision status, day rates, and start dates — all in one place.
Stakeholders see a real-time view of every seat, who is in process, decision status, day rates, and start dates — all in one place.
Stakeholders see a real-time view of every seat, who is in process, decision status, day rates, and start dates — all in one place.
Frequently Asked Questions
Is Calimala a SaaS platform?
No. Calimala is a managed service supported by an AI-native platform. You don’t buy licenses or configure software – you work with a dedicated Talent Partner who runs the engine for you, while the platform provides transparency, reporting, and control.
Do we have to use the platform to work with you?
No. If you prefer to run everything via email, calls, and your existing tools, your Talent Partner can coordinate the full process in the “old fashioned” way. The platform is an added layer of visibility and structure, not a dependency.
Can I log in and see real candidates before we commit?
Yes. You can create an account, explore sample pods and individual profiles, and see real anonymised candidates we have available across Data & AI roles. Once we’re engaged, you’ll see live pipelines tailored to your requirements.
What exactly will my team see in the platform?
Your team sees open roles, shortlists, candidate reports, interview stages, feedback, and commercial details such as day rates and availability. They do not see internal sourcing notes or sensitive data unrelated to your engagement.
Who are the people on your platform?
Our network is focused on Data & AI roles: data engineers, analytics engineers, ML/LLM ops, applied AI specialists, BI and analytics leads, as well as program and delivery managers around these domains. Most have experience in enterprise or high-growth environments, with a verified track record on projects similar to those we staff. We continuously curate and qualify this talent rather than operating an open marketplace.
Who is actually making the recommendations – AI or your Talent Partners?
AI does the heavy lifting on search, scoring, and pattern recognition; your Talent Partner makes the final call. Every shortlist is reviewed, challenged, and refined by a human who understands your context, culture, and constraints. The platform explains why someone is recommended, but your Talent Partner is accountable for the recommendations you see.
How do you handle security and data privacy?
We operate under strict confidentiality and data-protection standards. Candidate and client data is stored securely, access is role-based, and the platform keeps a full audit trail of activity.
Is Calimala a SaaS platform?
No. Calimala is a managed service supported by an AI-native platform. You don’t buy licenses or configure software – you work with a dedicated Talent Partner who runs the engine for you, while the platform provides transparency, reporting, and control.
Do we have to use the platform to work with you?
No. If you prefer to run everything via email, calls, and your existing tools, your Talent Partner can coordinate the full process in the “old fashioned” way. The platform is an added layer of visibility and structure, not a dependency.
Can I log in and see real candidates before we commit?
Yes. You can create an account, explore sample pods and individual profiles, and see real anonymised candidates we have available across Data & AI roles. Once we’re engaged, you’ll see live pipelines tailored to your requirements.
What exactly will my team see in the platform?
Your team sees open roles, shortlists, candidate reports, interview stages, feedback, and commercial details such as day rates and availability. They do not see internal sourcing notes or sensitive data unrelated to your engagement.
Who are the people on your platform?
Our network is focused on Data & AI roles: data engineers, analytics engineers, ML/LLM ops, applied AI specialists, BI and analytics leads, as well as program and delivery managers around these domains. Most have experience in enterprise or high-growth environments, with a verified track record on projects similar to those we staff. We continuously curate and qualify this talent rather than operating an open marketplace.
Who is actually making the recommendations – AI or your Talent Partners?
AI does the heavy lifting on search, scoring, and pattern recognition; your Talent Partner makes the final call. Every shortlist is reviewed, challenged, and refined by a human who understands your context, culture, and constraints. The platform explains why someone is recommended, but your Talent Partner is accountable for the recommendations you see.
How do you handle security and data privacy?
We operate under strict confidentiality and data-protection standards. Candidate and client data is stored securely, access is role-based, and the platform keeps a full audit trail of activity.
Is Calimala a SaaS platform?
No. Calimala is a managed service supported by an AI-native platform. You don’t buy licenses or configure software – you work with a dedicated Talent Partner who runs the engine for you, while the platform provides transparency, reporting, and control.
Do we have to use the platform to work with you?
No. If you prefer to run everything via email, calls, and your existing tools, your Talent Partner can coordinate the full process in the “old fashioned” way. The platform is an added layer of visibility and structure, not a dependency.
Can I log in and see real candidates before we commit?
Yes. You can create an account, explore sample pods and individual profiles, and see real anonymised candidates we have available across Data & AI roles. Once we’re engaged, you’ll see live pipelines tailored to your requirements.
What exactly will my team see in the platform?
Your team sees open roles, shortlists, candidate reports, interview stages, feedback, and commercial details such as day rates and availability. They do not see internal sourcing notes or sensitive data unrelated to your engagement.
Who are the people on your platform?
Our network is focused on Data & AI roles: data engineers, analytics engineers, ML/LLM ops, applied AI specialists, BI and analytics leads, as well as program and delivery managers around these domains. Most have experience in enterprise or high-growth environments, with a verified track record on projects similar to those we staff. We continuously curate and qualify this talent rather than operating an open marketplace.
Who is actually making the recommendations – AI or your Talent Partners?
AI does the heavy lifting on search, scoring, and pattern recognition; your Talent Partner makes the final call. Every shortlist is reviewed, challenged, and refined by a human who understands your context, culture, and constraints. The platform explains why someone is recommended, but your Talent Partner is accountable for the recommendations you see.
How do you handle security and data privacy?
We operate under strict confidentiality and data-protection standards. Candidate and client data is stored securely, access is role-based, and the platform keeps a full audit trail of activity.