Great — here's a tailored Solutions Page draft for Artificial Compute (parent company of Hyfn), emphasizing your broader infrastructure vision, technical strengths, and enterprise-grade capabilities.
🔧 Solutions by Artificial Compute
The Infrastructure Company for the AI Workforce
At Artificial Compute, we don’t just build AI tools — we build the infrastructure for hiring, deploying, and scaling AI Employees across your organization.
Whether you’re a startup automating workflows or an enterprise deploying AI across departments, our solutions help you move from software chaos to intelligent automation.
🧱 Core Solutions
💼 AI Employee Platform (Hyfn.ai)
The first Upwork-style marketplace for AI Employees.
- Post jobs, receive proposals, and deploy AI Agents on demand
- Prebuilt agents or custom-built to spec
- Structured hiring workflow with outcome guarantees
→ Visit: Hyfn.ai
🧠 Knowledge-Driven AI Agents
We deploy Retrieval-Augmented Generation (RAG) agents that reason over your documents, websites, and data.
Used for:
- Legal document summarization
- Customer support agents trained on internal wikis
- HR bots answering benefits or onboarding questions
Built with:
- IBM Watsonx Discovery
- OpenAI or Watsonx Assistant
- Redis Vector & LangChain Orchestration
- Multi-tenant storage on Supabase
🖥️ Custom AI Agent Deployment Infrastructure
We build and host your AI agents in secure, scalable environments.
Features:
- Multi-tenant isolation with Supabase and Redis
- Per-tenant vector search & document ingestion
- Integrated feedback loop to improve accuracy over time
- Deployment via API, widget, CRM plugin, or chat UI
- Agent lifecycle management with logging and monitoring
🧩 AI Agent Developer APIs
Let your developers build on top of our stack.
Our infrastructure provides:
- JWT-secured task APIs for external builders
- Supabase proxy access with scoped permissions
- Task management, skill execution, and agent orchestration
- Integration-ready with tools like Zapier, Retool, and n8n
🧪 Solutions for Enterprise RAG
We help organizations ingest and deploy their private knowledge for intelligent Q&A, summarization, and automation.
Example Use Cases:
- Law Firms: Upload 800+ page PDFs, extract and summarize legal precedent
- Retailers: Train AI agents on product manuals, policies, or customer service transcripts
- Startups: Connect agent output to CRMs, websites, or support tools
Our ingestion pipeline supports:
- Websites, PDFs, video transcripts
- Embedded metadata chunking
- Vector storage in Redis
- Indexing in IBM Discovery
- Real-time chat integration
🔐 Built for Security & Scale
Artificial Compute supports enterprise-grade AI deployment standards:
| Feature | Included |
|---|---|
| Multi-tenant Architecture | ✅ Per-tenant isolation |
| SOC2/GDPR/HIPAA Compliance | ✅ Available on request |
| LLM Provider Agnostic | ✅ OpenAI, Claude, Watson |
| Observability & Feedback | ✅ Logging, ranking, tuning |
| Deployment Flexibility | ✅ API, embedded UI, SDKs |
🎯 Why Artificial Compute?
✅ Outcome-Focused AI – We focus on results, not just models
✅ Fast Deployment – Launch in days, not months
✅ Human + AI Design – Automate what can be, elevate what matters
✅ AI Hiring Framework – Standardized process for AI Agent procurement
🔧 Let’s Build Your AI Workforce Infrastructure
Whether you're replacing SaaS tools with AI Agents, deploying knowledge bots, or building AI-powered workflows, Artificial Compute helps you deliver production-ready results at scale.
👉 Contact Us to scope your project
👉 Try Hyfn.ai to hire your first AI Employee
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