Barrier identifiedVenturus capabilityProduct or research responseFit
Hardware and infrastructure gaps
Compute cost and availability push inference away from the cloud, toward constrained devices
Embedded and edge engineering
Existing core practice, already staffed
On-device inference for constrained hardware
Links to Edge AI · index 47, rising, no competitor presence
High
Data quality and availability
Clients hold volume, not structure. Most AI initiatives stall before the model
Data engineering practice
Present, not packaged as an offer
Data readiness assessment as a paid pre-project
Links to Synthetic data · index 38, early
Medium
Talent scarcity
Demand for applied AI skill outpaces the local hiring market
Internal academy, already running
Infrastructure exists, content does not
AI specialization track, capacity sold as a service
Cross-cuts every domain in View 01
Medium
Regulatory uncertainty
EU AI Act in early stages, no Brazilian framework at time of research
No in-house legal specialism
Partnership required
Compliance-aware architecture patterns, advisory partner
Monitor quarterly, re-score on legislation
Watch
Intellectual property ambiguity
Ownership of model outputs unresolved in client contracts
Partial, contractual only
Legal and delivery, not product
Governance and contract templates for AI delivery
Defensive, low investment
Watch