CalyflowDB · AI-ready talent database
Stop searching candidates by keywords. Start lettingAI agents understand them.
Your ATS was built to store candidates. CalyflowDB is built tounderstand them. Bring together CVs, recruiter notes, interview feedback, call transcripts, CRM history, and outreach activity — then let AI agents search, match, explain, and act on fully enriched talent profiles.
- No more keyword search.
- No more endless Boolean strings.
- No more hidden talent.
The problem
Your best candidates are already in your database. You just can't find them.
Every recruiting team has the same problem: thousands of candidates, with the context scattered across systems.
CVs
your ATS
Notes
recruiter fields
Calls
Zoom, Fireflies, Gong, tl;dv
Relationships
HubSpot, Pipedrive, Attio
Spreadsheets
Sheets, Excel, Airtable
Sourcing history
LinkedIn, Apollo, PDL
Outreach
Gmail, Lemlist, Instantly
Project context
Slack, Notion, docs
Traditional search cannot use all of that. It looks for words. CalyflowDB builds an AI-ready talent layer that understandsmeaning, evidence, relationships, and context.
Instead of searching
"Java AND Spring AND AWS AND fintech"
You can ask
"Find senior backend engineers who have built high-volume payment systems, worked in regulated environments, and are likely suitable for a remote-first European fintech role."
An AI-searchable talent memory
No more Boolean. No more keyword hunting. No more hidden talent.
Your AI agents can understand:
- what a candidate has actually done
- which projects they worked on
- what industries they know
- what hiring managers said about them
- why they were rejected last time
- whether they are worth re-engaging
- what kind of role they may fit now
- which relationship history exists
- what evidence supports a match
Instead of manually searching, filtering, reading, comparing, and rewriting the same information again and again, your team runs agents that already know where to look and what to extract.
What makes this different?
Most recruiting tools add AI on top of incomplete data. CalyflowDB starts by connecting the data.
The power comes from ingestion: the more relevant sources you connect, the more useful the agents become. Your agents are not working from a single CV — they are working from a complete recruiting memory.
How it works
Connect. Enrich. Let agents work.
CalyflowDB does not replace your ATS or CRM. It makes your existing tools AI-ready.
STEP 1
Connect your recruiting data
Connect the systems your team already uses. You choose what each agent can access.
ATS
Bullhorn, Greenhouse, Lever, Recruit CRM, Teamtailor, Vincere, Workable, Zoho Recruit…
CRM
HubSpot, Pipedrive, Attio, Notion, monday.com, Zoho CRM…
Spreadsheets
Airtable, Google Sheets, Microsoft Excel
Email
Gmail, Microsoft Outlook
Sourcing & enrichment
Apollo, Coresignal, People Data Labs, RocketReach, SignalHire, Wiza, Hunter.io, Lusha…
Meetings & transcripts
Avoma, Fathom, Fireflies.ai, Gong, Grain, tl;dv, Zoom…
Outreach
Instantly.ai, Lemlist, Smartlead, Reply.io, Woodpecker, Mailshake…
Team knowledge
Slack, Notion, documents, project files
STEP 2
Build fully enriched candidate profiles
CalyflowDB turns fragmented data into structured, searchable recruiting context. The goal is not another database full of empty fields — it is profiles AI agents canreason over.
- CV and work history
- skills and seniority signals
- recruiter notes
- screening summaries
- interview feedback
- meeting transcripts
- salary and availability context
- past applications
- client submissions
- outreach history
- relationship notes
- enrichment data
STEP 3
Let AI agents search, match, and explain
The agent does not just return names. It returnsreasoning, evidence, and next actions.
- find candidates similar to a job
- find jobs similar to a candidate
- explain why someone is a fit
- show evidence from the underlying data
- identify missing information
- compare candidates against must-haves
- create shortlists
- prepare candidate summaries
- draft outreach
- generate candidate marketing profiles
- push outputs back into your workflow
Example
From scattered data to an AI-ready answer
A recruiter asks
"Find candidates for a Senior Platform Engineer role. Must have Kubernetes, Terraform, AWS, and experience supporting developer teams. Ideally fintech or SaaS."
A traditional ATS search looks for matching keywords. CalyflowDB looks across CV text, ATS notes, previous submissions, interview transcripts, screening summaries, public profile enrichment, CRM relationship history, recruiter comments, and outreach history.
The agent returns
"Candidate A is a strong match because they led Kubernetes platform work, built Terraform modules on AWS, supported 60+ developers, and previously worked in a regulated payments environment. The latest recruiter note says they were not ready to move six months ago, but were open to reconnecting in Q3."
That is not keyword search. That is recruiting intelligence.
Who it's for
Built for agencies and in-house talent teams
For recruiting agencies
Rediscover candidates your team already sourced, screened, interviewed, or marketed.
- find candidates for new roles from your existing database
- search by meaning instead of Boolean strings
- enrich profiles with CVs, notes, transcripts, outreach, and CRM history
- identify candidates worth reactivating
- reduce duplicated sourcing work across recruiters
- turn messy ATS and CRM data into a reusable agency asset
Your database becomes more than storage. It becomes a searchable intelligence layer for the whole agency.
For in-house talent teams
Stop losing context between requisitions, hiring managers, recruiters, and interview loops.
- find past applicants who match new roles
- search across interview notes, scorecards, CVs, and recruiter feedback
- identify silver-medalist candidates
- preserve hiring-manager calibration notes
- reduce time spent manually reviewing old applications
- support recruiters with evidence-backed AI recommendations
Your team can finally reuse what it already knows.
Why now
AI agents are only as good as the context they can access
Most recruiting teams already have valuable data — trapped in disconnected systems. This is the shift:
- Search stringsSemantic search
- Static recordsEnriched profiles
- Scattered toolsConnected context
- Manual reviewAI-assisted shortlisting
- Database storageTalent intelligence
What your team can build
Agents that work your database for you
Recruiters do not need more empty AI chat boxes. They need AI agents that can actually work with their data.
Candidate Rediscovery Agent
Find candidates already in your database for every new job.
Silver Medalist Agent
Surface strong past applicants rejected for timing, compensation, or availability — not because they were weak.
Job-to-Candidate Matching Agent
Compare a new role against your existing pool and return a ranked, evidence-backed shortlist.
Candidate-to-Job Matching Agent
Take a strong candidate and find relevant open roles, client opportunities, or talent-marketing angles.
Transcript Intelligence Agent
Turn interview and intake-call transcripts into searchable requirements, calibration notes, and candidate evidence.
Candidate Marketing Profile Agent
Turn a CV, notes, and call history into a polished profile for client submission or business development.
Talent Pool Cleanup Agent
Find duplicates, incomplete records, stale profiles, missing emails, and profiles worth updating.
Outreach Personalization Agent
Draft better outreach from enriched candidate and client context — without digging through every note.
Built to work with your stack
A new layer for modern recruiting teams
You do not need to migrate away from your ATS. You do not need to replace your CRM. You do not need recruiters to learn a new database. The future of recruiting is not another ATS — it is an AI-ready layer that sits across your data, tools, candidates, jobs, clients, and conversations.
Just AI agents working from fully enriched profiles.
No more keyword search. No more Boolean gymnastics. No more hidden talent. Book a demo and we will show you CalyflowDB on your own recruiting data.