Skiffra Tech Stack

AI orchestration platform for physical-world operations

Technology, Information and Internet Los Angeles, California 2–10 employees Founded 2025 Privately Held

Skiffra builds an AI-native orchestration system for capital-intensive industries where operational decisions carry high financial stakes. The stack—Python, RAG, TypeScript, React, FastAPI, Next.js—reflects a modern full-stack approach to wrapping legacy and fragmented enterprise systems with LLM-driven agents and real-time data pipelines. The founding team combines deep industrial operations expertise (Toyota digital transformation, mining systems rebuild) with venture-scale product discipline, and early validation is stark: a nine-month proof of concept converted a $5M investment into a sustained $100M EBITDA lift for a single client.

Tech Stack 10 technologies

Core StackPython RAG TypeScript React Node.js FastAPI Next.js SQL

What Skiffra Is Building

◆Challenges

Messy real-world operations
Messy operational reality
Integration-heavy environments
Removing bottlenecks across stack
Complex operational problems

▲Active Projects

Ai-native orchestration system
Llm integration with enterprise data
Real-time and batch data pipelines across enterprise systems
Agentic workflow design
Retrieval evaluation loop
End-to-end product features across backend, frontend, and agentic layers
Integrate llms and design safe tool interfaces
Prototype based on live operational feedback
Integrate erps, operational tools, apis, and legacy systems into a clean internal data layer
Design schemas and data contracts consumed by llms, agents, and workflow engines

Hiring Activity

Minimal8 roles · 0 in 30d

Department

Engineering

Data

Product

Seniority

Senior

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About Skiffra

Skiffra is a two-person-founded startup building an AI operating system for orchestrating complex, real-time workflows in physical-world industries. The initial market is mining and natural resources, where operational decisions are expensive and failures are costly; the platform is designed modular to expand into adjacent extraction, logistics, and infrastructure sectors. The system translates messy operational environments into actionable data by integrating ERPs, legacy tools, and APIs into a unified data layer, then surfaces LLM-driven agents and workflow engines to improve real-time decision-making. The team is seven senior hires across engineering, data, and product—a compact, senior-heavy structure typical of early-stage, deep-tech ventures.

HeadquartersLos Angeles, California

Company Size2–10 employees

Founded2025

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Skiffra use?

Python, RAG, TypeScript, React, Node.js, FastAPI, Next.js, and SQL. The stack spans full-stack web development, agentic LLM integration, and data pipeline infrastructure.

What is Skiffra working on?

AI-native orchestration for mining and natural resources: LLM integration, real-time data pipelines, agentic workflow design, legacy system integration, and retrieval evaluation loops to connect operational tools into a unified intelligence layer.