Tiaago Is Transforming Hiring in Africa With Its  AI-Powered OS

This edition of The Radar spotlights Tiaago’s mission to automate and democratize hiring across Africa, exploring how the platform helps recruiters, HR teams, and startups reduce time-to-hire, minimize bias, improve decision-making, and maintain transparency for both employers and job seekers.

In this interview with the founder, Oluwatobi Justus Oyinlola, he discusses the gap Tiaago is set to fill, the technology powering their system, and their vision for the future of work across emerging markets.

What inspired the creation of Tiaago?

Tiaago was inspired by firsthand experience inside recruitment and product ecosystems where hiring was unnecessarily fragmented and inefficient. I saw recruiters juggling LinkedIn, spreadsheets, email threads, ATS platforms, and manual screenings, often spending more time organizing candidates than actually evaluating them, which I myself have previously also experienced while helping early-stage startups with recruitment. At the same time, great candidates were being overlooked simply because processes were inconsistent or pipelines weren’t maintained. The gap wasn’t talent; it was infrastructure. Tiaago was built to become that infrastructure for modern hiring.

For someone hearing about Tiaago for the first time, how would you describe what it does in the simplest terms?

Tiaago is an AI-powered hiring infrastructure that helps recruiters source better candidates, automatically screen resumes, assess skills, manage pipelines, and conduct outreach all in one system. Instead of using five different tools, recruiters use one intelligent platform that reduces manual work and improves hiring quality.

What makes Tiaago different from other AI recruitment platforms?

Most recruitment tools solve one part of the problem: sourcing, ATS tracking, or assessments. Tiaago unifies sourcing, screening, skill assessment, outreach, and pipeline management into a single workflow. Beyond automation, we focus on revenue enablement for agencies, helping them fill roles faster and increase placement success. Additionally, our pipeline model ensures recruiters don’t start from zero every time they hire. It transforms hiring from reactive to strategic.

What unique challenges does the African recruitment landscape present, and how does Tiaago address them?

Africa faces fragmented talent visibility, inconsistent hiring standards, limited access to structured assessments, and heavy reliance on manual processes. Many agencies still operate without a strong digital infrastructure. Tiaago addresses this by providing enterprise-grade hiring tools at accessible pricing, AI screening, structured assessments, sourcing datasets across multiple regions, and reusable pipelines. We help African recruiters compete globally with the same sophistication as firms in the US or Europe.

Walk us through the typical Tiaago experience. What does the journey look like for both recruiters and candidates?

For recruiters:
They post a job, Tiaago automatically screens resumes across 20+ criteria, then qualified candidates are invited to assessments and pre-screening. Recruiters can source additional talent from our global dataset, and candidates are added to structured pipelines. Outreach is handled directly within the platform, and hiring decisions become faster and data-driven.

For candidates:
They apply or are sourced, and their profiles are evaluated fairly based on structured criteria. Then, they complete skill assessments, receive updates transparently, and they may also be added to pipelines for future opportunities.

Recruitment is crucial for organizational success, yet bias and inconsistency remain major challenges. How does Tiaago ensure fairness and transparency?

Tiaago reduces bias by standardizing evaluation criteria. Every resume is screened using structured factors rather than subjective judgment. Assessments are role-specific and skills-based. Recruiters can see why a candidate was shortlisted based on defined metrics, not assumptions. We promote consistency, auditability, and data-backed decisions instead of intuition-driven filtering.

How does Tiaago handle privacy and data security?

We follow secure cloud infrastructure practices, encrypted data storage, role-based access control, and strict data visibility boundaries. Recruiters only access candidates within their environment. Candidates can be deleted or removed upon request. We are building toward full compliance with global data standards, including GDPR-aligned practices.

What milestones have you achieved so far?

We’ve built and launched our AI recruitment suite, integrated global sourcing datasets, onboarded recruiters across multiple countries, structured subscription and usage-based pricing models, and developed a growing HR community. We also secured early funding through family and friends support and validated real recruiter adoption across markets, including Nigeria, Ghana, Rwanda, the UK, and the US.

What’s been your biggest challenge so far?

The biggest challenge has been balancing infrastructure cost with scalable pricing, especially when working with large external data providers. Instead of passing inefficiencies to customers, we redesigned our pricing model to blend subscription and usage-based billing, ensuring sustainability without overcharging recruiters. That forced discipline in product design and monetization early on.

What’s been the most rewarding moment?

Seeing recruiters actively use the system and realize they no longer have to manually screen hundreds of CVs. When a recruiter tells you, “This saved me hours and helped me close a role faster,” that validates everything. Also, building something from scratch that agencies across countries now rely on is deeply fulfilling.

How do you work with startups and HR departments to ensure a smooth experience?

We prioritize onboarding simplicity and no technical setup required. We offer guided onboarding sessions, demos, and responsive support. We also engage directly with recruiters to understand their pain points and continuously refine features based on real usage, not assumptions.

Beyond automation, what impact do you hope Tiaago has on Africa’s workplace landscape?

We want to professionalize hiring infrastructure across Africa. Better hiring leads to stronger companies. Stronger companies create better jobs. We want African recruiters to compete globally, and African talent to be evaluated based on skills, not proximity or bias. Tiaago aims to raise the standard of hiring across the continent.

It’s 2031. What does Tiaago look like?

In 2031, Tiaago is the backbone of hiring across emerging markets, powering agencies, startups, and enterprises globally. Our AI not only screens and sources but also predicts hiring success, culture alignment, and retention probability. We’ve built the largest recruiter-owned pipeline network across Africa and beyond. Hiring becomes proactive, data-driven, and borderless.

What advice would you give aspiring founders tackling systemic problems in Nigeria?

Start with infrastructure problems, not surface-level solutions. Build for resilience because environments like Nigeria force efficiency and creativity. Stay close to your users. Monetization discipline matters early. And most importantly, solve real problems consistently before chasing hype. Systemic change requires patience, conviction, and execution.

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