About Us
Company History /
How We Got Here
AXYS was born from a team with two decades of experience in building and marketing enterprise software with a deep focus on data transportation. After years of watching teams struggle with slow integrations, rising AI costs, and fragmented systems, we built AXYS to make data orchestration simple, fast, and private inside the customer cloud. Today AXYS acts as a force multiplier for engineering, turning complex data into AI-ready answers in hours while keeping costs low and control high.
AXYS is the outcome of a long journey in enterprise design, development, go-to-market, and customer success. Our leadership has spent years delivering data-heavy platforms across finance, healthcare, and the public sector, where the same problems kept repeating. Data lived in silos. API projects took months. AI experiments stalled under cost and complexity. Every new system needed a different connector, a new schema, and another round of fragile plumbing.
We decided to turn that experience into a product that removes the heavy lifting. AXYS streamlines data transportation and orchestration inside the customer's private cloud environment owned by the customer. Connect sources in minutes, unify and map fields with confidence scoring, tag and prepare data for AI, and generate lean payloads that cut token use dramatically. The result is instant engineering power without adding headcount, faster paths from question to answer, and a consistent way to operationalize AI across the business.
What began as hard-won playbooks from enterprise projects became a platform that scales. AXYS now supports real customers and partners in production, proving that a simple, secure data layer can unlock AI adoption at speed and at a fraction of traditional cost. This is how we got here and why we are building AXYS for what comes next.
AXYS in a Nutshell
Drive Innovation
Drive innovation by advancing AI to enable a future-proof, no-code approach.
Boost Efficiency
Boost efficiency by reducing data fragmentation, cutting AI API costs by up to 98.8%, and accelerating deployment from months to hours.
Empower Users
Empower both technical and non-technical users with a user-friendly, no-code interface, making data orchestration and AI integration accessible to all.
Leadership Team
Careers
- AI ML Engineer, LLM Orchestration and Query Optimization
- We are hiring an AI ML engineer to advance the AXYS intelligence layer, where queries are built and AI communication is optimized. You will design and improve our query synthesis engine that converts schemas and user questions into precise API payloads and model prompts, driving high accuracy with very low token use and latency. Your work will include structured outputs and function calling, prompt and tool selection, caching and batching strategies, offline and online evals, and guardrails for privacy and safety in customer-owned cloud environments. You should be fluent in Python and comfortable with TypeScript, experienced with OpenAI and Claude APIs, JSON Schema constrained generation, retrieval, and context construction, and building metrics for cost, quality, and speed. If you enjoy turning messy data and intent into reliable answers at scale and want to make AXYS a force multiplier for engineering, we would love to talk.
