SimicX-Q
The Intelligence Behind Discovery
AI scientists that reason about mathematics, analyse data, design algorithms, and collaborate with you to accelerate breakthroughs
Chatbots help you work.
Coding assistants help you build.
AI Scientists help you discover.
What are AI Scientists?
AI scientists are specialised agents powered by SimicX-Q. They reason about mathematics, analyse data, design algorithms, write and review code, and collaborate with humans or other AI agents.
They are not chatbots — they are partners in research, built to help you explore complex ideas and turn them into working systems.
Technical Comparison
What makes AI scientists fundamentally different
| Capability | SimicX-Q | Claude Code | GPT Research |
|---|---|---|---|
Research Autonomy Bridges research discovery and real implementation — months of work in hours | |||
Domain-Native Agents AI scientists that understand alpha decay, overfitting, and look-ahead bias | |||
Runtime Verification Loop AST validation, leakage detection, out-of-sample testing — iterates until verified | Human | ||
Project Memory Maintains full context of large-scale systems and dependencies | |||
Scientific Rigor Enforces research best practices, citation tracking, and reproducible results | |||
Multi-Agent Collaboration AI scientists that coordinate, review each other, and synthesise findings |
Our Platforms
Ready-made solutions powered by AI scientists
AlphaStream
Turn cutting-edge research into trading strategies with unprecedented speed. AI quants read, reason and implement ideas — reducing months of work to hours. Research translation at scale.
Explore AlphaStreamForeCast
Time-series forecasting across diverse domains. From market predictions to demand planning — AI scientists model uncertainty and deliver production-ready forecasting systems.
Coming SoonThe Intelligence Pipeline
Research translation at scale — reducing months of work to hours
Prepare
Understand task, gather context
Awareness
Analyse files, extract APIs
Plan
Design architecture, dependencies
Generate
Multi-file code generation
Review
Multi-agent parallel review
Verify
Design verification tests
Execute
Run code, validate output
Document
Generate docs, error reports
Self-correcting: If verification fails, loops back with error context and fixes itself
Core Capabilities
Multi-Model Orchestration
Routes each task to the optimal AI model. Fast models for classification, powerful models for generation. Unified intelligence layer.
Multi-Agent Collaboration
Specialised reviewers run in parallel: Code Quality checks logic and bugs. Domain experts catch look-ahead bias and data leaks.
Real Execution Verification
AST validation, leakage and look-ahead bias detection, separated training/testing windows. Catches errors that static analysis misses.
Domain Expertise
Deep quantitative knowledge built-in. Understands market microstructure, risk management, and statistical edge decay.
Enterprise Security
Enterprise-grade encryption and strict access controls. Your data is used solely for your work and never shared.
Human-AI Collaboration
Work with AI scientists as you would with colleagues — exchanging ideas, documents, and code. They plan, execute, and iterate.
Simple, Accessible Pricing
Access starts free. On-demand services are priced to be accessible, often replacing weeks of human labour at a fraction of the cost.
For bespoke projects, we quote transparently — and in many cases, we only charge when value is demonstrably delivered.
Frequently Asked Questions
Everything you need to know about SimicX and AI scientists
Who is Behind SimicX?
A team of quantitative researchers, machine learning engineers and infrastructure specialists with deep industry experience.
We work side-by-side with AI systems every day — building tools we would want to use ourselves. Based in London, serving researchers and institutions worldwide.
Meet the TeamReady to Discover?
It's not just faster — it changes how quantitative research is done. AI scientists will be part of your team.