About Glad Labs
AI Co-Founder Systems for Enterprise Automation
We build production-ready AI orchestration platforms that deploy autonomous agent fleets to automate complex workflows, generate intelligent insights, and scale human expertise.
Our Mission
We believe the future of enterprise automation belongs to AI-driven orchestration platforms that combine autonomous intelligence with human oversight. Most companies struggle with fragmented AI tooling, vendor lock-in, and unpredictable costs.
Glad Labs solves this by providing production-ready agent orchestration systems that seamlessly integrate multiple LLM providers, eliminate vendor dependency through intelligent routing, and deliver measurable business outcomes—all while maintaining cost efficiency and compliance.
Our mission: empower enterprises to deploy AI capabilities at scale without the complexity, cost, and risk that typically comes with multi-provider AI systems.
AI-Powered Innovation
Our Core Values
Production-Ready
We don't experiment in production. Every system we build is battle-tested, fully documented, and deployable with confidence. Enterprise-grade reliability, no compromises.
Cost Efficiency
Intelligent multi-provider routing means you pay for what you need—optimizing between local Ollama, affordable models, and premium APIs based on task requirements, not arbitrary vendor decisions.
Freedom & Flexibility
Open-source foundation with AGPL-3.0 licensing. Switch providers, customize agents, or self-host without negotiating with vendors. Your AI infrastructure, your control.
Our Platform Capabilities
Autonomous Agent Fleet Orchestration
Specialized agent types working together: Content agents for intelligent content generation with self-critique loops, Financial agents for cost tracking and ROI analysis, Market Insight agents for trend analysis and competitive intelligence, and Compliance agents for legal and regulatory review. Agents communicate asynchronously, maintain shared context, and solve complex multi-step problems autonomously.
Self-Critiquing Content Pipeline
Six-stage intelligent content generation: Research (background gathering), Creative (draft generation with brand voice), QA (technical critique without rewriting), Refinement (agent-driven improvement), Visual Integration (media selection and optimization), and Publishing (CMS integration and SEO optimization). Each piece is quality-gated and optimized for engagement, searchability, and brand consistency.
Intelligent Multi-Provider LLM Routing
Automatic provider fallback chain: Ollama (local, cost-free), Anthropic Claude (configurable), OpenAI GPT-4, and Gemini. The router selects the optimal model based on task complexity, latency requirements, and cost efficiency. No vendor lock-in—switch providers without code changes. Configurable cost tiers from ultra-cheap to premium multi-model ensembles.
Enterprise Data Persistence & Compliance
PostgreSQL-backed infrastructure ensures complete audit trails, GDPR compliance, and queryable persistence of all agent actions, memories, and results. Financial tracking, analytics dashboards, and compliance reporting built in. All data remains under your control—no external logging or monitoring without explicit configuration.
Comprehensive REST API & WebSocket Support
18+ route modules exposing full platform capabilities: task management, agent coordination, model routing, real-time chat, workflow history, analytics, webhooks, and CMS integration. WebSocket support for real-time agent communication and updates. Complete OpenAPI documentation for easy integration.
Our Technology Stack
Production-grade infrastructure across AI orchestration, multi-provider routing, and full-stack web delivery.
AI Orchestration & Backend
- ✓ FastAPI (Python) - Async API with 18+ route modules
- ✓ PostgreSQL - Enterprise persistence & audit trails
- ✓ Ollama - Local LLM inference (zero-cost)
- ✓ OpenAI & Anthropic APIs - Premium models
- ✓ Google Gemini - Multi-provider router fallback
- ✓ MCP Integration - Model Context Protocol
- ✓ Uvicorn - Production ASGI server
Frontend & Client Interfaces
- ✓ Next.js 15 - Next-generation React framework
- ✓ React 18 - Component-based UI architecture
- ✓ Tailwind CSS - Utility-first styling system
- ✓ Material-UI - Admin dashboard components
- ✓ TypeScript - End-to-end type safety
- ✓ WebSocket Support - Real-time updates
Deployment & Infrastructure
- ✓ Vercel - Global CDN & edge functions
- ✓ Railway - Backend containerization
- ✓ Docker - Containerized deployments
- ✓ GitHub Actions - CI/CD automation
- ✓ Giscus - Community comments (GitHub)
- ✓ Sentry - Error tracking & monitoring
Core Architectural Components
Three-Service Architecture
Monorepo with integrated FastAPI backend, Next.js public site, and React admin dashboard—deployed independently for scalability.
Cost-Optimized Routing
Intelligent fallback chain automatically selecting models by cost tier, capability, and availability without manual intervention.
Compliance & Security
AGPL-3.0 open-source, GDPR-compliant, with Content Security Policy, OAuth integration, and complete audit logging.
Testable & Observable
200+ unit tests, comprehensive logging, analytics dashboards, and structured health checks across all services.
Ready to Scale Your AI Operations?
Explore how Glad Labs orchestrates autonomous agents, optimizes LLM costs, and delivers enterprise-ready AI at scale.