SmartVerify is the egress control plane for your data, and decouples data security from application logic. The agentic revolution has transformed the application layer from a predictable tool into a security liability. In the past, enterprises could trust application security as a proxy for data security. Today, when autonomous agents and MCP-enabled servers interact with your sensitive data, that trust is a risk you can no longer afford. Control is the missing ingredient…
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Set policies on the data, not the code
SmartVerify is the safety layer for the AI-first enterprise
Full company description
SmartVerify is the egress control plane for your data, and decouples data security from application logic.
The agentic revolution has transformed the application layer from a predictable tool into a security liability. In the past, enterprises could trust application security as a proxy for data security. Today, when autonomous agents and MCP-enabled servers interact with your sensitive data, that trust is a risk you can no longer afford.
Control is the missing ingredient in the enterprise AI race. While your developers are under pressure to innovate, the legal liability for data protection and compliance remains with the enterprise. SmartVerify is the new control plane that fills this gap.
We provide the autonomous guardrails that allow your team to ship AI features in days, not months. By taking the burden of granular data security off the development team, SmartVerify accelerates AI adoption without compromising on safety.
Stop letting security be the bottleneck to your AI roadmap. Own your data security, liberate your developers, and move to production with confidence.
People associated on LinkedIn
4
Reported office locations
Bellevue , US
Vancouver, BC, CA
Other recorded names
Smartverify
SmartVerify
Profile identifies a recruitment agency
No
Industry
Software Development
Size
2-10 employees
Headquarters
Bellevue
Organization type
Privately Held
Year founded
2025
Smartverify has 2 open jobs in Canada as of November 6, 2026. Top locations: Vancouver.
Candidates need production ML ownership, transformer fine-tuning for text classification, and named entity recognition experience. They must be strong in Python, PyTorch and Hugging Face, able to justify evaluation thresholds, and authorized to work in Canada or the US.
PyTorch, Hugging Face Transformers, SageMaker, AWS, EKS, Terraform
8+ YOECandidates need 8+ years of backend engineering experience focused on distributed systems, infrastructure or platform work, and experience building systems that manage other systems. Strong Go and Python skills, cloud and container experience, and comfort shipping pragmatic architecture decisions are required.