Good morning, Laura
- Active processes34
- Candidates1.842
- In progress126
- Interviews today18
- Pending shortlists7
- Follow-ups23
Technology for recruitment · headhunting · executive search
Less time searching for information. More time finding the right person.
We design internal tools, automations, websites and AI systems adapted to how your recruitment team actually works.
Good morning, Laura
New CV
antonio_garcia_cv.pdf
8 years · SaaS B2B · Sales · Madrid · 3 matching roles
Marta López
“Tomorrow at 17:00.” → Head of Marketing · interview confirmed
Client · ACME
New requirement: marketplaces → update briefing
Interview
45 min · summary ready
Strengths · concerns · salary · availability → profile
It’s all the knowledge your team has built about them: CVs, interviews, notes, emails, searches, relationships and past processes.
Thousands of documents someone has to read and structure.
Finding the right candidates inside years of past processes.
Clients, candidates, interviews and feedback spread across threads.
Valuable information in free-text fields or outside the system.
Briefings that evolve during the process.
Reminders that depend on the team’s memory.
Digitup builds the intelligence layer around it: search, automations, WhatsApp, email, interviews, dashboards, portals and specialised tools.
Recruitment Intelligence Layer
01 / Custom software
Full platform or intelligent layer. Only what you need.
Recruitment OS
02 / Roles
Head of Sales · ACME
Must: SaaS B2B · aligned OTE · English C1
Turn a client meeting into a structured search: profile, must/nice, location, compensation and risks — the recruiter reviews and creates the search.
Audio, notes or client email.
AI proposes requirements and priorities.
If the briefing changes, the system shows who still fits and who loses relevance.
03 / Candidates
Experience, languages, compensation, availability, past processes, interviews, notes, communication and documents — in a single view.
Marta López
Turn thousands of CVs into information you can actually search: name, location, companies, roles, skills and languages — with human review before saving.
PDF → structured data.
The recruiter confirms or corrects.
Someone who didn’t fit two years ago may be perfect today.
04 / AI Search
On context, not just keywords. AI shortens the list; the recruiter chooses who to meet.
Who are you looking for?
“Industryl CFO, Madrid, Big Four, English, international teams, PE-backed experience”
Not an automatic score that decides. A tool that organises; the team decides.
They may simply be hidden among 20,000 CVs.
Candidates in your database
“Industryl CFO, Madrid, Big Four, English, international teams”
After the first search
+ PE-backed experience
+ previously interviewed · people to review
This is what your database should be able to do.
05 / WhatsApp
AI to handle the repetitive. People to build the relationship.
Interviews, reminders and documentation.
Updates without relying on memory.
The recruiter steps in when they add value.
Marta López
“Yes, tomorrow at 17:00 works perfectly.”
Candidate identified · Head of Marketing · interview confirmed
Assistant
“Perfect, Marta. I’ll send you the video call link.”
Laura has joined · “Thanks. See you tomorrow.”
06 / Communication
The system can understand which process each message is about before anyone classifies it.
Confirms interview · Head of Marketing
New requirement in briefing
3 matching roles
5 candidates for more than 72 h
07 / Interviews
Audio or transcript.
Career path, motivations, strengths.
Expectations, availability, concerns.
The recruiter confirms.
It’s added to the candidate 360º.
Ready to present to the client.
From your assessment to a clear presentation: summary, motivation, strengths and points to validate.
Review candidates without getting lost in emails. Client feedback that feeds back into the process.
Sourcing → Contacted → Interested → Interview → Shortlist → Client → Offer → Hired.
Changing stage triggers email, calendar, reminders and feedback requests.
08 / Clients
So knowledge doesn’t depend only on the recruiter who owns the account.
ACME · Technology
Ask: historical ranges · profiles they reject · recurring feedback
Historical database turned into communities: CFOs, Sales Directors, PMs, Legal…
People you already know before starting from scratch.
Lead → meeting → proposal → client. Recruitment also starts before opening a role.
Brief → scope, timeline, fee and terms — with team review.
09 / Automation
Interview completed.
Ask the client for feedback.
No reply → reminder.
Task for the recruiter.
Unreviewed → internal notification.
Pending feedback · roles with no new candidates · offers about to expire.
10 / Control
Data to find blockers — not vanity metrics.
View by role and stage.
Processes and candidates per recruiter.
Where the funnel stalls.
By stage, source and client.
Candidate response rate.
Clients who come back.
11 / Digital presence
Live roles, candidate intake and company forms with a better-prepared briefing.
VP Engineering · Scale-up
Assign consultant
12 / Integrations
Integrate, sync, complement or migrate progressively.
Recruitment OS
Custom internal system.
Semantic candidate search.
All candidate knowledge.
History and context for each client.
CV reading and structuring.
Interview transcription and summary.
Hybrid AI + recruiter communication.
Contextualised email.
Reusable historical database.
Client presentations.
Feedback and tracking.
Processes and documentation.
Stages and automatic follow-up.
Leadership dashboards.
We build when the process is distinctive, information is fragmented, the ATS limits the team, or your history is underused.
It can structure CVs, search, summarise interviews, compare and draft communications. Who advances, who fits and who gets an offer remains a human decision.
Organises information and cuts noise.
Assesses, connects and closes.
Sensitive operations with oversight.
Only data the team is allowed to access.
13 / Process
Clients, roles, ATS, sourcing and communication.
From briefing through to hire.
Manual work, duplication, underused historical database.
What can create the most impact.
Software, AI, integrations and automations.
Access by role.
Change logging when needed.
Each user sees only what they should.
Limited access to authorised systems.
Hosting, APIs, backups, monitoring.
Updates, prompts and costs.
New features, verticals and workflows.
The system detects 3 matching roles.
11 candidates already known for the role.
Interview confirmed without copying data.
Strengths and concerns on the profile.
Impact on the shortlist visible instantly.
A clear presentation for the client.
Feeds straight back into the process.
Load and timing dashboard.
It should be one of your greatest assets.
The problem is finding them.
Then we decide what’s worth doing: connect, automate, improve or build.
What works and where the team gets stuck.
How knowledge is captured and presented.
Where the thread gets lost with candidates and clients.
How much already-known talent is underused.
What the system should remember.
Digitup Studio projects start at €1,000, with delivery from 2 weeks. Above that minimum, the price depends on what the tool has to do, which systems it connects to (ATS, email, calendar, WhatsApp) and how much data it handles. A narrow piece, such as follow-up reminders, sits closer to the minimum; semantic search across thousands of CVs or a full Recruitment OS costs more. We propose scope, phases and budget after seeing how you recruit. Depending on the project, payment can be milestone-based, spread over 6 or 12 months or a monthly fee, as we explain in how we work.
The minimum delivery time is 2 weeks, for small, well-defined scopes. A first working version can usually be validated within weeks if the scope is clear; connecting several tools or building a complete recruitment system takes more phases. You do not need the whole platform on day one: you can start with CV parsing or search across your historical database and add WhatsApp, interviews or the client portal later. We do not work with a standard number of weeks; we set the schedule once we understand your process. This is how we approach custom software: in parts, so your team uses something real as soon as possible.
Yes, and it is the first thing we propose: if your ATS works well, it can stay. We can connect to the ATS, the CRM, email, Google Workspace, Microsoft 365, the calendar, Drive, WhatsApp, Telegram, video calls, e-signature and other APIs. With the ATS, integration depends on it offering a reliable API or data export, and we check that at the start, before closing the scope. From there we choose between integrating, syncing, complementing or migrating in stages. The usual approach is to build the missing layer around it, with search, interviews and follow-up automations, without creating another data island.
We design the system with role-based permissions, information separated by client and process, change logs, protected credentials, backups and human review for sensitive operations. A confidential search can be visible only to the person running it. The AI provider is chosen according to privacy, cost and type of task. GDPR compliance with candidates is something you define with your own advisers; we do not give legal advice and we build to those requirements. The European AI Regulation lists among high-risk systems those intended to filter job applications or evaluate candidates, so it is worth defining from the start what a person reviews.
Repetitive work automates well: turning CVs into structured data that the recruiter reviews, searching the historical database in natural language, summarising interviews, coordinating appointments and reminders by WhatsApp or email, requesting client feedback and preparing shortlist drafts. Search across your CVs and notes relies on the same semantic retrieval as a RAG system and can show why each candidate appears. What we do not automate is judgement: who moves forward, who is suitable and who receives an offer remains a human decision. We do not propose an automatic score that rejects people without review. AI organises and prepares; the recruiter evaluates and decides.
Digitup Studio is a technical studio in Madrid founded in 2019 and led directly by its two partners. Stas Nikitin, CEO, handles product and project management; Anton Zverev, CTO, leads architecture and development. They are your point of contact from start to finish, and the project does not pass to a junior team after the first meeting. Depending on what is needed, specialists from our network join in UX/UI, frontend, backend, data or AI, but the people in charge do not change. So whoever listens to how you work a role, from briefing to hire, is the one making the technical decisions.
Not yet: there is no published case study from a recruitment, headhunting or executive search firm on our website, and we prefer to say so clearly. We have built more than 50 projects since we started, and in our case studies you can see pieces similar to what a recruitment firm needs: the back office and order state machine of Tasaciones.com, the RAG over the Mundomar Cruceros catalogue, or AlisaBot, our own chatbot platform with WhatsApp and handover to a person. On the first call we explain how we would apply those pieces to your process.
With a 30-minute, no-obligation call with Anton Zverev, the CTO. You do not need to arrive with a solution in mind: it is enough to tell us which ATS you use, how a CV comes in, how you coordinate interviews and where the thread is lost with candidates and clients. We review the case, propose a technical approach and phases, and also tell you if we think it is not worth building. If it fits, we start with a focused first version. You can book the call or write to us from this page. If you would rather begin with a diagnosis with prioritised opportunities and a roadmap, we offer an AI audit.
We don’t want to sell you another ATS. We want to understand how you recruit and find where software and AI can truly help.
A process, a tool or an idea. That’s enough to get started.
Or write to us at hola@digitup.es