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AgentStaQ AI

AI Workforce Platform: Hire Your First AI Employee Today

Built for business operations. Orchestrate, train, deploy, and scale your AI employee for your tasks and tech stack. All with human-in-review.

  • Always on, 24/7
  • Fits your tech stack
  • Persistent Memory
10
Core product modules
3
Connector modes
4
Model routing tiers
24/7
AI workforce runtime
AI Employees

AI Employees Workforce Platform

AgentStaQ is designed to transform AI to move from chatbots to persistent AI employees that are trained on your own business rules. The product treats every successful workflow as a future employee: reviewed, versioned, connected, trained, scheduled, and measured. Built with enterprise-grade security.

  • HIPAA

    HIPAA

    Secure, certified handling of sensitive health information.

    Healthcare001
  • GDPR

    GDPR

    Advanced privacy standards for the protection of personal data.

    Europe002
  • SOC 2 Type II

    SOC 2 Type II

    Verified security practices for enterprise-grade data protection.

    Security003
  • ISO 27001

    ISO 27001

    Global excellence in information security management.

    Global004
Overview

Secure, Compliant AI Workforce Platform

Build your own AI agents at scale. Create, execute, review and deploy your AI workforce inside your own system, with your own set rules.

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The brain of your organization

AgentStaQ gives operators a central AI brain that routes work, streams reasoning, calls tools, and turns approved runs into reusable AI employees.

Connects to any system

The connector layer supports MCP tools, direct REST and OAuth APIs, browser automation with MFA, and custom adapters for proprietary systems.

Human-in-the-loop by design

Outputs land in Review by default. Staff approve, correct, and promote high-quality runs into named employees with schedules, triggers, and versioned profiles.

Secure & Compliant

The platform is HIPAA-compliant by design, role-based access, encrypted credentials, self-hosted models, audit logs, and blockchain-anchored run history throughout.

AI Agents for the enterprise

Enterprise-Grade Security AI Employees For Any Role

A minute from now, your first AI employee can be working. AgentStaQ provides a general purpose AI worker platform where you can hire, train, and deploy AI agents. Run on your current systems safely, deploy anywhere without any limitations.

Example AI employee roles
  • BBilling Specialist
  • PPrior Auth Coordinator
  • CClaims Reviewer
  • IIT Support Agent
  • FFinance Analyst
  • CCompliance Reviewer
  • RRecruiting Coordinator
  • CCustomer Support Agent
  • OOperations Analyst
  • PPartner Success Manager

Compliant & Secure AI Applications

HIPAA, SOC 2 Type II, and GDPR compliant.

Always on, 24/7

Works on the schedule you set for your trained AI agent.

You stay in control

Every workflow and output is reviewed by a human.

Persistent memory

Decisions, preferences, business rules, and context. No reset.

Flexible Deployment

Integrates into your system and the tools you already pay for.

Accountable AI Employees

The dashboard shows you daily KPIs of every agent as a report.

Features

Product modules built around real operating workflows.

Modules map to the AgentStaQ walkthrough: Home, Brain, Connectors, History, Review, Employees, Notifications, Security, and the Company Brain.

Home dashboard

Live metrics for total runs, pending reviews, approved work, background jobs, agent performance, cost per run, and organization brain growth.

Brain runtime

A master agent thread with Instant, Agent, Auto, and Train modes. Auto mode chooses the fastest and cheapest path for each task.

Connector registry

MCP, API, browser agent, and custom connector modes let agents work across EHRs, payer portals, finance tools, CRMs, file systems, and internal apps.

History and audit trail

Every run records status, timing, model, confidence, connector, token usage, user, and a SHA-256 audit anchor for tamper-evident verification.

Review queue

Human reviewers see the result, reasoning, and connector trail before output takes effect. Corrections become labelled training pairs.

AI employees

Approved workflows become named employees with three clear actions: Utilize for one-off work, Deploy for recurring jobs, and Train for updates.

Notifications

Bell alerts, Microsoft Teams routing, and webhook-style notifications keep the right team informed when runs finish or need review.

Company brain

Org-level RAG indexes SOPs, payer rules, approved outputs, corrections, and institutional memory so new agents inherit context from day one.

Security and compliance

Designed for healthcare, finance, and other regulated operations.

AgentStaQ is built with regulated workflows in mind: protected data, role-gated actions, encrypted connectors, traceable runs, and deployment options that keep sensitive inference close to the client environment.

Role-based permissions by user, business unit, title, and agent visibility.

AES-256 encrypted connector credentials, OAuth tokens, API keys, passwords, and TOTP seeds.

TLS 1.3 for connector calls, API endpoints, and browser agent sessions.

Self-hosted Tier 1 models for sensitive workloads where PHI should stay inside the client perimeter.

Append-only operational logs with blockchain-anchored hashes for run-level verification.

Deployment options for healthcare, finance, IT operations, white-label partners, and enterprise custom editions.

Tech stack

Product-Ready Systems from Day One

AgentStaQ is Zelvora's latest innovation. We aim to transform and boost productivity through our AI employees platform. Currently handling real-time operations, it is ready to take over day-to-day work.

Frontend

  • React + Vite SPA
  • Token-by-token streaming responses
  • Background process indicators
  • Real-time run status without refresh

Backend

  • Express.js microservices
  • FastAPI Python services
  • LangGraph workflows
  • LiteLLM model router and fallback proxy

Data layer

  • MongoDB for users, logs, history, connectors, and employee profiles
  • Supabase pgvector for brain memory, embeddings, RL corpus, and org RAG
  • Redis semantic cache and run-result cache
  • Polygon or Hyperledger audit anchors

AI and models

  • EC2 + SageMaker for Qwen2.5, Phi-4, and Mistral local model tiers
  • DeepSeek and Groq routing for low-cost hosted inference
  • Claude Haiku, Claude Sonnet, GPT-4o-mini, and GPT-4o escalation tiers
  • Monthly fine-tuning loop with HITL training pairs

Automation

  • MCP tool calls
  • REST and OAuth APIs
  • Playwright or Stagehand browser agents
  • Tesseract OCR for document ingestion

Security

  • RBAC and least-privilege controls
  • Encrypted connector registry
  • Private VPC deployment options
  • Audit export with verification links
Product information

Built as an AI employees workforce platform, not a chatbot.

Primary users
Operations, billing, clinical, IT, finance, compliance, and partner teams
Core workflow
Create a run in Brain, review output, save it as an employee, then deploy it on a schedule or trigger
Deployment model
Hosted, private infrastructure, white-label, and custom enterprise editions
Differentiator
The company brain compounds knowledge across agents, employees, corrections, and approved work
Cost curve
Costs reduce the longer an employee runs. Recurring tasks get cheaper over time, not more expensive.

Bring AgentStaQ AI into your operations.

Tell us which workflows you want to hand to an AI employee. We'll show you how AgentStaQ runs them inside your own systems, with a human in review.