Speed at every layer of your stack

Speed is all you need.

10× lower latency — Numba JIT, GPU routing, model quantization

We compress the distance between data and decision — across AI systems, automated pipelines, and performance-critical software. Speed is the constraint we design around.

Inference & Runtime

Numba JIT compilation, CPU/GPU routing, model quantization and sparsity, LRU caching, tail recursion, parallelized containers. Systems built to run at full throughput without compromise.

Model to Business

Accelerated convergence during training, causal A/B frameworks that shorten the decision of which model to ship, and monitoring that keeps production healthy with minimal overhead. From prototype to production value, without the usual delays.

Agent Efficiency

Parallel agent calls, minimal round-trips, and orchestration tuned for latency and cost. Agents that are lean, responsive, and efficient — not just functional.

Quantum

The next order of magnitude. Starting with QuaGua — rapid, quantum-safe data encoding already in production. We're building for the performance ceiling classical compute hasn't reached yet.

Book a call See the stories Free Assessment

Products

Live systems we ship, with write-ups that explain how they work

Flagship

Arraxis Academy

Human-in-the-lead learning for teams that use AI agents

When agents draft and execute well, the bottleneck is rarely another approval click. Someone still needs domain knowledge to set direction, judge outcomes, and step in when judgment matters. Academy builds that skill through structured courses, practice cards, live sessions, and study groups on studdyco.study.

Practice cards
Structured courses
Live sessions
Study groups
This product is live: Open Academy
Demo

QuaGua

Privacy-preserving encoding for machine learning

Encode-then-mix pipelines that keep models useful while blunting reconstruction of sensitive fields.

Irreversible encoding stage
Feature mixing stage
Privacy-utility evaluation
Technical write-up
Read Story GitHub repository Open demo
Coming Soon

SwissTripster

Swiss travel planning with SBB data

Trip planning assistant with SBB real-time schedule integration. The next public release is in preparation.

LLM Trip Planning
Real-time SBB Schedules
Multi-Platform
Story of the data

Stories

Write-ups covering the full path from problem to working system

Coming Soon

Fraud Detection at Scale

From simple rules to ML-powered fraud prevention that saved $2M annually.

$2M
Saved
95%
Accuracy
Real-time
Detection
View All Stories → Explore All Sagas → Videos →
On YouTube

Short narrations

Vertical shorts for a few documented builds. Long-form write-ups stay on this site.

YouTube channel LinkedIn

Real-time CRM

VIP scoring on a batch clock versus signals inside the session.

Read story

SwissTripster

Trip planning with Swiss schedule integration.

Read story

Free Speed Assessment

We look at your current AI setup and identify where speed is being left on the table — in inference, training, agents, or monitoring. No cost, no commitment.

Speed Audit

We look at your inference stack, training loop, and agent pipelines to find where time and cost are being lost

  • Data infrastructure review
  • Potential use cases identification
  • ROI and feasibility analysis

Performance Review

If you already have models in production, we review them for latency, throughput, and cost — and show where optimization gives the biggest return

  • Performance analysis
  • Cost optimization opportunities
  • Scalability improvements

Recommendations

Based on what we find, we suggest concrete next steps with estimated effort

  • Architecture insights
  • Technology stack guidance
  • Implementation roadmap

Book a 30-minute call

A short call to see whether your data or ML question is a fit. No commitment: if we are not the right team, we will say so plainly.

Scheduling is not configured here yet. Email info@arraxis.com and we will suggest times.

Request a Free Assessment

Fill out the form and we will get back to you within 1-2 business days.