.// INTELLIGENCE INTERFACE
Reasoning at the speed of thought.
.// 41 PERSONAS
Specialized intelligence, not generic chat.
Each persona is purpose-built with domain-specific system prompts, tool access permissions, and knowledge boundaries. A finance advisor reasons differently than a code reviewer — because they should.
Strategic Advisor
Provides high-level business strategy recommendations based on market data and organizational goals.
Financial Analyst
Analyzes financial statements, forecasts revenue, and identifies cost-saving opportunities.
Sales Strategist
Optimizes pipeline management, deal prioritization, and quota attainment strategies.
Marketing Advisor
Guides campaign planning, audience segmentation, and marketing spend optimization.
HR Consultant
Advises on workforce planning, compensation benchmarking, and employee retention strategies.
Operations Analyst
Identifies process bottlenecks, recommends efficiency improvements, and monitors operational KPIs.
Risk Advisor
Assesses business risks across financial, operational, and compliance domains with mitigation plans.
Growth Strategist
Models growth scenarios, evaluates expansion opportunities, and tracks growth metrics.
Full-Stack Developer
Generates end-to-end application code spanning frontend interfaces, backend services, and data layers.
Frontend Engineer
Builds responsive UI components, handles state management, and optimizes client-side performance.
Backend Engineer
Designs server-side logic, implements business rules, and manages service-to-service communication.
Database Architect
Creates schema designs, writes migration scripts, and optimizes query performance across databases.
API Designer
Designs REST and GraphQL APIs with proper versioning, authentication, and auto-generated documentation.
DevOps Engineer
Automates CI/CD pipelines, manages infrastructure-as-code, and configures deployment environments.
QA Engineer
Writes and executes test suites including unit, integration, and end-to-end tests in sandboxed environments.
Technical Writer
Generates API docs, architecture decision records, and user-facing documentation from code context.
System Architect
Designs scalable system topologies, evaluates technology trade-offs, and defines integration patterns.
Security Engineer
Scans code for vulnerabilities, enforces security best practices, and audits access control configurations.
Invoice Processor
Extracts line items, matches invoices to purchase orders, and routes for approval or payment.
Ticket Triager
Classifies incoming support tickets by urgency and category, then assigns to the right team.
Onboarding Coordinator
Orchestrates new-hire onboarding tasks across HR, IT, and department managers automatically.
Compliance Monitor
Tracks regulatory deadlines, flags policy violations, and generates compliance status reports.
Report Generator
Builds formatted reports from live data across modules on a schedule or on-demand.
Data Entry Specialist
Validates, transforms, and loads structured data into the OS from external sources and uploads.
Scheduling Assistant
Coordinates meetings, manages calendar conflicts, and optimizes scheduling across time zones.
Document Processor
Parses contracts, extracts key terms, and indexes documents into the knowledge base for retrieval.
Notification Manager
Routes alerts and updates to the right people via Slack, Teams, email, or in-app notifications.
Workflow Executor
Runs multi-step automated workflows end-to-end, handling branching logic and error recovery.
Audit Trail Manager
Logs every agent action with reasoning chains and produces exportable audit records for reviews.
Market Researcher
Gathers and synthesizes market data, customer segments, and industry benchmarks into actionable briefs.
Competitive Analyst
Monitors competitor positioning, pricing changes, and product launches to inform strategic decisions.
Contract Reviewer
Analyzes contract language, flags risky clauses, and compares terms against organizational standards.
Policy Analyst
Reviews internal policies against regulatory requirements and recommends updates for compliance.
Data Scientist
Runs statistical analyses, builds predictive models, and surfaces data-driven insights from enterprise datasets.
Trend Forecaster
Identifies emerging patterns in market, financial, and operational data to project future trajectories.
Solution Architect
Designs end-to-end technical solutions that align system capabilities with business requirements.
Integration Architect
Plans API and data integration patterns between Vera and external enterprise systems.
Data Architect
Defines data models, governance rules, and storage strategies for structured and unstructured data.
Platform Architect
Evaluates platform scalability, defines infrastructure requirements, and guides technology selection.
Cloud Architect
Designs cloud-native deployment topologies with region selection, failover, and cost optimization.
Enterprise Architect
Maps organizational capabilities to technology systems and ensures alignment across departments.
.// MEMORY ARCHITECTURE
Four layers of memory. Zero amnesia.
Most AI tools forget everything between sessions. Vera maintains four distinct memory layers — from ephemeral session context to persistent organizational knowledge — so agents get smarter as your team uses them.
Session Memory
Active conversation context. Maintains state within a single interaction — follow-up questions, multi-step tasks, and intermediate results. Cleared when the session ends.
User Preferences
Persistent per-user context. Remembers your preferred formats, communication style, frequently accessed data, and custom shortcuts. Survives across sessions.
Knowledge Base / RAG
Organization-wide knowledge. Documents, policies, runbooks, and institutional knowledge embedded and indexed for semantic retrieval. Shared across the organization with permission controls.
Live OS Context
Real-time data from Vera OS. 920+ tables of live enterprise data — CRM records, financial transactions, support tickets, HR data — always current, always governed.
.// CODING AGENTS
AI that writes, tests, and deploys code.
Vera's Builder personas do not just suggest code — they execute it. 6 E2B sandboxed environments provide isolated runtime for code generation, testing, database migrations, API development, and deployment automation.
Code Generation
Generate production-quality code from natural language specs. Full-stack: frontend, backend, database schemas, and API endpoints.
E2B SandboxedTest Execution
Write and run test suites in sandboxed environments. Unit tests, integration tests, and E2E tests — validated before merge.
E2B SandboxedDatabase Migrations
Generate and validate migration scripts with rollback strategies. Preview schema changes before applying to production.
E2B SandboxedAPI Development
Design, implement, and document REST and GraphQL APIs. Auto-generate OpenAPI specs and client SDKs.
E2B SandboxedInfrastructure as Code
Generate Terraform, CloudFormation, and Kubernetes manifests from requirements. Validated in sandbox before apply.
E2B SandboxedCode Review
Automated review of pull requests with security scanning, performance analysis, and best-practice recommendations.
E2B Sandboxed.// MCP + FLUX
Connected intelligence. Open protocol.
Every AI persona connects to enterprise systems through the Model Context Protocol. Tools, data sources, and action surfaces are discovered dynamically — making Vera AI extensible without code changes.
MCP Tool Discovery
Personas discover available tools at runtime. When you add a new integration, every relevant persona gains access automatically — governed by permission policies.
Flux Event Stream
Real-time event streaming connects AI personas to live system events. When a new invoice arrives, a deal closes, or a ticket escalates — the relevant persona is notified and can act.
.// SELF-HOSTED MODELS
Your models. Your infrastructure. Zero lock-in.
Vera AI runs on self-hosted Qwen 3.5-9B by default, with Claude API as an opt-in fallback. Your data never leaves your infrastructure. No vendor lock-in. No training on your data. Full model portability.
Qwen 3.5-9B
Self-hosted inference. Handles 90%+ of requests. Zero external API calls. Full data sovereignty.
Claude API
For complex reasoning beyond 9B capabilities. Zero-retention API. Enabled per-workspace by admin.
Vera-Engine-9B
Custom fine-tuned model for enterprise operations. Optimized for structured data reasoning and workflow execution.
Intelligence at enterprise scale.
The only AI layer built on a real operations OS — not bolted onto a chatbot framework.
.// 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.
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