Sunday, October 11, 2026

Talent Analytics Startup Chooses Portugal to Enter EU Market

Cristina Costa

January 8, 2020

Shivam Dhawan is the founder of Getboarded, an Artificial Intelligence and Big Data recruiting service platform in which bots are trained to help university applicants better match their soft skills with open vacancies. Photo credit: Via News.

As the crowds were rushing away from Web Summit 2019 to Lisbon Airport, we used the calmer surroundings to talk at Startup Portugal's double-decker with Shivam Dhawan, founder at Getboarded.

Getboarded is an artificial intelligence and big data recruiting service platform, in which bots are trained to help university applicants better match their soft skills with open vacancies.

Shivam Dhawan, a web analytics expert educated in India, is an young entrepreneur who brought his project to Lisbon to enter the European market. He's using “Startup Visa” program launched by the former Minister João Vasconcelos at the 2017 edition of Web Summit.

https://www.youtube.com/watch?v=Wz7VWk4eGfk

Getboarded is part of a business incubation program linked to the University of Aveiro headed by Adriana Costa, executive director at the Science & Innovation Park (PCI) in Aveiro.

Half an hour's drive away from Portugal’s Northern metropolitan area of Porto, Aveiro is mostly known abroad as the Venice of Portugal for its natural beauty deriving from its lagoon and river channel system.

What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Agentic AI Rewires Enterprise Software: Platform Incumbents, Governance, and a Funded Startup Wave
Enterprise software is being rebuilt around autonomous AI agents. Incumbents and large platforms (SAP with its Autonomous Suite and Joule, Zeta with AthenaOS/AIM/Athena MCP, Meta with its new Enterprise Platform) are racing to own the agent layer. Meanwhile, seed and Series A money flows to finance-office and vertical startups (Dextr, Latitude, Dentira, Light), and consolidation continues through acquisitions (Tiny–Oso Cloud, Harvey–Guardrails AI). Investor commentary stresses that AI is better at disrupting around the edges of systems of record than at replacing them, that it should not be trusted with finance calculations, and that governance must be enforced by the system rather than left to agents.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
We flag conflicts openly ›
Recently verified
✓ Checked against the original source
4,986
facts traced to their source — and we flag the ones that don't hold up.
101 entities tracked4,986 facts checked against source5,369 source documents archived
Query this data → isubstrate.com