Build AI Agents
that actually ship
an AI agent studio building for regulated industries
Multi-Agent Systems
Production models, open-source models. We pick what fits the task. MCP servers, tool use, orchestration. Production systems, not conference demos.
Compliance-First AI
Audit trails and regulatory guardrails go in at the architecture stage. SOC2, HIPAA, FDA 21 CFR Part 11. Your compliance team reviews the first build, not the last.
AI Engineers
We ship with AI-native dev tools daily. Fine-tuning, RAG, vector search. The team has done this enough times that the path from prototype to production takes weeks.
values that help achieve results
Compliance by default
Audit trails, data governance, and regulatory guardrails go in at the architecture stage. Not after launch. Not in v2. The first build your compliance team sees is the one that passes.
Ship, then polish
A working prototype in 2 weeks beats a perfect plan in 4 months. We get real AI outputs in front of your team fast, then iterate based on what actually matters.
Transparency
Stuck on something? Say it. Found a problem with the approach? Raise it now, not at the demo. We would rather have an uncomfortable conversation on Monday than a failed audit on Friday.
Own the outcome
We don't hand off a repo and disappear. If the agent hallucinates in production, that's our problem too. We stay on retainer because we care about what happens after launch.
Always learning
The tooling changes every quarter. Our team runs experiments, publishes what we learn, and brings new patterns into client projects.
Builder culture
We built Regfo to prove our own compliance AI works. We use AI-native dev tools daily. We write code, ship products, and fix things at 2am when it matters.
Active vacancies
AI Agent Engineer
• Build multi-agent systems with Claude API, Anthropic SDK, and MCP servers
• Design agentic workflows for compliance automation in FinTech and HealthTech
LLM Fine-Tuning Engineer
• Fine-tune large language models for regulated industries using domain-specific datasets
• Build RAG pipelines, embeddings, and vector search with Pinecone, Weaviate, ChromaDB
Compliance AI Developer
• Build AI systems for FinTech and HealthTech that pass SOC2, HIPAA, and FDA audits
• Implement audit trails, data governance, and automated risk scoring pipelines
Full-Stack AI Product Engineer
• Ship AI-powered products end-to-end: Next.js + FastAPI + LLM integrations
• Use Cursor, Claude Code, and Anthropic SDK as daily development tools
AI Solutions Architect
• Design architecture for enterprise AI agent deployments at scale
• Multi-model orchestration (Claude, GPT, Gemini) and MCP server infrastructure
internship for students
We are looking for motivated engineers and researchers passionate about AI agents, large language models, and compliance automation. Whether you have experience with Claude API, RAG systems, or are just starting your AI journey — we welcome builders ready to ship.
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We are looking for people who build AI agents, not just talk about them
We are Always
keep moving
Vitaly Z.
«The road arises under the steps of walking»