SimicX

"For almost a decade after my PhD, I led exceptional teams of data scientists and researchers. I watched brilliant minds waste countless hours reproducing work that should just work, hunting for ideas that should be discoverable. The idea of creating AI Scientists — agents that could generate ideas and validate research autonomously — began to take shape."

"Some ideas just need the right altitude to truly take off! Jamin, with his decades of experience in computing and cloud infrastructure... soaring 10,000 feet above the ground... talked about something ground-breaking - Could AI learn to think like scientists? Generate hypotheses, validate research, discover new ideas?"

• Foundational AI Scientist concept ideated

"We made our first hire: Milky, our Chief (Cat) Science Officer, on an 'eye-watering' salary of two cat cuddles a day!"

• AI Scientist architecture validated
• Core agentic framework mapped out

"April was a whirlwind of pure creation... Building our Minimum Viable Product (MVP) was more than just a technical milestone - we chose quantitative finance as our proving ground. If our AI Scientists can satisfy hedge fund managers, they're ready for anything."

• MVP completed
• Core AI Scientist framework established

"We firmly believe a client-facing product should never be built in a vacuum. May was dedicated to exactly that: meeting potential users by day, iterating on the product by night. Quant finance became our crucible."

• Internal Alpha development initiated
• First tester: a leading index fund

"'I'd be keen to stay involved … adopting SimicX into our teams' daily processes' – from the Head of Product at a leading index fund!"

• Support expanded to high-frequency market data
• 23 AI agents available
• AI-powered "Explain this" feature

"We officially launched our Alpha, putting the power of SimicX into the hands of real users. Our AI Scientists were learning to think like quants."

• Zero-Shot Intelligence goes live
• Live modelling capabilities
• Library expanded to 40 agents

"Some partnerships are forged over years, not months. Rachel and I had worked together since AlgoLib in 2017. Her expertise in quantitative methods would be crucial for our AI Scientists."

• Rachel Qian joins as Co-Founder & CTO
• Leads AI Scientists & Agents team
• Oxford-trained MSc in Mathematical Finance

"We realised our users weren't just looking for efficiency; they were looking for certainty in a noisy world. Our AI Scientists were becoming trusted research partners."

• Beta testing concluded
• Platform heavily used for research implementation
• Users prefer SimicX over other coding tools

"The public launch of SimicX AlphaStream! Our wedge strategy — AI Scientists that reproduce, validate, and rank the latest research autonomously."

• AlphaStream public launch
• Saves 36 hours per research per researcher
• Over 3.4M research analysed
• 1000+ Alpha Identified

"Our AI Scientists have mastered quantitative finance. Full regulatory compliance, real-time data, and over 100 specialised agents. The proving ground is conquered."

• Full regulatory compliance achieved
• Live 10ms order book snapshots
• Over 100 specialised AI agents

"With quant finance conquered, our AI Scientists are ready to transform every field of science. Public API, enterprise deployment, and domain expansion begin."

• Multi-domain AI Scientists: biology, chemistry, physics
• Public API and MCP services launched
• On-premises deployment for enterprise

"We chose quantitative finance as our proving ground because it's the hardest test case. But we're building the Terminal for Science — AI Scientists for every researcher on Earth."

• Today: $38B Quant market conquered
• Tomorrow: $164B AI & Data Science market
• Future: $2.5T global R&D transformed
• Unlocking 3.8 billion hours wasted annually