TalentAI
AI-powered tech recruiting that connects companies with LATAM talent.
One place for the entire placement workflow.
TalentAI is a technical recruiting platform focused on LATAM talent. It brings together AI sourcing, real skill verification, the candidate pipeline and the business side —clients, fees, warranties and invoices— in a single product.
Technical recruiters work blind, across five tabs.
The process is scattered across Excel, WhatsApp, LinkedIn and GitHub. Nobody has the full picture, and technical evaluation comes down to reading a résumé.
A product that evaluates, not just stores.
We designed and built a recruiting CRM where AI does the heavy lifting —finding, ranking and verifying— and recruiters make decisions backed by real evidence from the candidate's code.
How the agent finds and ranks candidates.
Sourcing stops being a keyword search and becomes a query about real capabilities.
The code is the résumé.
Instead of trusting what's claimed, TalentAI reads the candidate's public activity and turns it into a comparable signal: languages actually used, commit frequency, project contributions and quality patterns.
- GitHub API integration
- Stack detected from real usage, not a self-reported list
- Commit and contribution history
- Proof of work ready to present to the client
Four stages, zero ambiguity.
The whole team looks at the same board and knows exactly what comes next.
How well the candidate works with AI.
An evaluation dimension unique to the product: not just what the candidate can build, but how they leverage AI tools in their day-to-day work.
A LATAM talent community, not a database.
The Builder Hub brings together the region's verified profiles and gives them a place where their real work does the talking.
The admin side is part of the product too.
A placement doesn't end when the candidate signs. TalentAI models the full business operation so recruiters don't have to track it outside the system.
- Client and agreement management
- Multi-currency fees
- 30 / 60 / 90-day warranties
- Invoices and payment tracking
- Alerts for due dates and status changes
How we built a SaaS with many moving parts.
The challenge wasn't a screen, it was a system: sourcing, verification, pipeline and business operations had to fit together without becoming an unusable product.
- Map of the current workflow across 5 tools
- Definition of the four pipeline stages
- Prioritization: what goes into the first version
- Product information architecture
- Design system and components
- Scoring and technical evidence patterns
- Semantic search integration
- GitHub API integration
- Pipeline, client and fee views
- Private beta with real users
- Scoring tuned with feedback
- [RESULT] — next milestone
What IDEASCOL built on this project.
The scope covered the product end to end: definition, design and implementation.
- Defined the pipeline model and its four stages
- Product information architecture
- Designed the sourcing → verification → presentation flow
- Defined AI Fluency as an evaluation dimension
- Product design system (typography, color, components)
- Design of dashboards, dense tables and empty states
- Scoring and technical evidence presentation patterns
- Interface implementation in Next.js
- Integration with the semantic search layer
- GitHub API integration for verified profiles
- Operations views: pipeline, clients, fees and invoices
What it's built with.
What changed once it went live.
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