.// OUR MISSION
Make AI a governed operating layer for every enterprise.
Most AI tools answer questions. We believe AI should execute work — with the governance, auditability, and reliability that enterprises demand. That's the gap between a chatbot and an operating system.
.// APPLIED AI
Research meets production
We bridge the gap between AI research and enterprise deployment. Every model, every agent, every workflow is designed for production — not demos.
.// GOVERNED EXECUTION
AI that enterprises can trust
Autonomous agents without governance are a liability. We build the security, compliance, and auditability layer that makes enterprise AI deployment possible.
.// OPEN ARCHITECTURE
No vendor lock-in. Ever.
Open-weight models, self-hosted inference, portable data. Your AI infrastructure should belong to you, not to a vendor's pricing model.
.// THE VERA PRODUCT SUITE
One platform. Two products. Complete enterprise AI.
Vera is not a single tool — it's an operating system for enterprise AI. Two products work together to give your organization governed agent execution at scale.
.// VERA OS
The enterprise operating system
26 modules covering CRM, invoicing, project management, HR, support, compliance, and more. 920+ database tables with row-level security. The data layer and workflow engine that powers everything.
- ✓ 26 integrated modules
- ✓ 920+ tables with RLS
- ✓ 12+ industry configurations
.// VERA AI
The AI agent layer
41 specialized AI agents that execute workflows across Finance, Sales, Support, HR, Compliance, and Operations. Each agent has domain-specific knowledge, governed data access, and full audit trails.
- ✓ 41 specialized agents
- ✓ 1,607 RLS policies
- ✓ Open-weight model inference
Built with enterprise rigor.
Every number represents a deliberate engineering decision — not a marketing estimate.
.// TEAM
Built by operators who understand the problem.
Sovyren Inc. was founded with a specific thesis: enterprise AI should execute work, not just answer questions. And it should do so with the same governance standards as any critical business system.
.// FOUNDER
Austin Johnnic
Founder & CEO, Sovyren Inc.
Applied AI engineer and systems architect with deep expertise in enterprise software, data governance, and autonomous agent systems. Austin founded Sovyren to build the AI infrastructure layer that enterprises actually need — governed, auditable, and production-ready.
.// COMPANY
Sovyren Inc.
R&D Lab for Applied AI
Sovyren is an applied AI research and development company focused on enterprise-grade agent systems. We combine deep technical research with production engineering to build AI infrastructure that meets the security, compliance, and reliability standards of regulated industries.
.// TECHNOLOGY PHILOSOPHY
Principles that guide every engineering decision.
We believe enterprise AI infrastructure should be open, auditable, and owned by the customer. These are not aspirations — they are engineering constraints we build against.
Open-Weight Models
We use foundation models that can be inspected, audited, and self-hosted. No proprietary black boxes. Enterprises should know exactly what's running in their infrastructure.
Self-Hosted Inference
Enterprise customers can run model inference on their own infrastructure. Data never leaves your network for AI processing. Full control over compute, latency, and cost.
Zero Vendor Lock-In
Your data, your models, your infrastructure. Vera is designed for portability — standard APIs, exportable data, and documented schemas. Switch or self-host at any time.
Security as Architecture
1,607 RLS policies were not added after launch. They were the first thing we built. Security is not a feature — it's the foundation every other feature stands on.
.// WHAT WE BELIEVE
The enterprise AI thesis.
AI should execute, not just respond
The value of AI in the enterprise is not answering questions — it's automating the operational work that consumes 60-70% of knowledge worker time. Invoice matching, pipeline scoring, ticket triage, compliance monitoring. That's what agents are for.
Governance is not optional
Autonomous agents without governance are a liability. Every agent action must be auditable, explainable, and reversible. Enterprises that skip governance will pay for it in regulatory fines, data breaches, and lost trust.
Domain specificity wins
A generic chatbot with a finance label is not a finance agent. Real enterprise AI requires domain-specific knowledge, industry-tuned workflows, and department-scoped data access. 12 industry packs. 41 specialized agents. That's the difference.
Measurable outcomes are the only metric
We do not track chat volume or message counts. We track hours saved, costs reduced, errors prevented, and revenue protected. If an agent does not deliver measurable ROI, it should not exist.
.// READY TO DEPLOY?
Your competitors deployed AI agents last quarter. What's your timeline?
See how Vera puts AI agents into production across Finance, Sales, Support, HR, and Compliance — with governance your enterprise requires. Start with a 30-minute discovery call.
See how it works
Context Engine, Semantic Layer, and Action Engine — see the three-layer architecture that powers governed agent execution.
Explore the platform →From pilot to production in 4 weeks
In 30 minutes, describe your most painful workflow. Within 48 hours, receive a custom POC plan with ROI projections, integration requirements, and a deployment roadmap.
Book a discovery call →