SimicX

The Spark – From Quant Pains to QLLM Dreams

"For nearly a decade after my PhD, I had the privilege of leading an incredible team of data scientists and quants as CTO at a FinTech firm. We were tackling complex challenges in commodity hedging for top-tier market players, working alongside some of the most brilliant minds I've ever known. Yet, day in and day out, I saw so much of that brilliance consumed by repetitive preparation, tedious reporting, time-consuming simulation and error-prone backtesting."

"The thought kept nagging at me: 'What if there was a tool that could generate any quant software on demand? Or better yet, what if AI could truly understand and perform these complex quant tasks alongside us?' Then, the AI wave hit, and ChatGPT made headlines - but it still does not do quant tasks well. As a lifelong student of applied mathematics, my belief in the potential of machine learning remained unshaken. The idea of creating our own Quant Large Language Model (QLLM) began to take shape."

Taking Flight – The QLLM Vision Soars!

"Some ideas just need the right altitude to truly takeoff! Jamin, with his decades of experience in cloud computing, was always searching for the next trillion-dollar wave. On a crisp, perfect day, soaring 10,000 feet above the ground in a Cessna, two old friends didn't just talk about the takeoff; we talked about something ground-breaking - Could we adapt transformer model architectures to simulate market data, giving quants a pristine sandbox for backtesting?"

• Foundational QLLM concept for market data simulation and agentic task ideated

Building the Blueprint & Welcoming Our C(Q)O!

"With our feet back on solid ground, March was about translating that high-altitude vision into a concrete plan. We immersed ourselves in conversations, challenging assumptions, and meticulously architecting what SimicX would become. And, most importantly, we made our first hire: Milky, our Chief (Cat) Quant Officer, on an 'eye-watering' salary of two fish cans a day!"

• Strategic concept validated through in-depth interviews with quants, traders, and fund managers
• Core architecture for the SimicX agentic stack meticulously mapped out

From Code to Creation – Our MVP Takes Shape!

"April was a whirlwind of pure creation. Countless hours of coding, debugging, and sheer determination went into bringing the first iteration of SimicX to life. Building our Minimum Viable Product (MVP) was more than just a technical milestone; it was a tangible first step, proving to ourselves and the world that our ambitious vision was achievable. Hearing those first whispers of 'Hey, this actually works!' was music to our ears."

• Minimum Viable Product (MVP) completed
• Core agentic framework established

Listening & Learning – Alpha in the Making!

"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. We kicked off internal alpha development, fuelled directly by invaluable, real-world client feedback. This collaborative approach is at the core of how we build."

• Internal Alpha development initiated based on direct user feedback
• Support for 128 US stocks & 6 Crypto Pairs
• 16 foundational agents created
• Admin management console developed for internal control

The "Wow!" Moment – Alpha Feedback & A Glimpse of Future!

"The feedback from our May demos was overwhelmingly positive, culminating in a particularly inspiring comment: 'I'd be keen to stay involved … adopting SimicX into our teams' daily processes' – from the Head of Product at a leading index fund! As we shared our Alpha with more potential clients, a thrilling realisation dawned on us: we hadn't just built a tool; we're shaping how quant analytics work in the future."

• Alpha version refined based on initial strong positive feedback
• Support expanded to 960 high-frequency US stocks & top crypto pairs with L1 data
• 23 agents available
• Interactive dashboard for all modelling results implemented
• AI-powered "Explain this" summary feature for model outputs introduced

Ignition! Zero-Shot Intelligence & Team Power-Up

"This next quarter is set to be a landmark! We're gearing up to officially launch our Alpha, putting the power of SimicX into the hands of a wider group of real users. We'll be rigorously testing our dynamic modelling engine as it tackles live data and increasingly complex agents. We also know we can't do this alone anymore; as a 'two-man-and-a-cat' operation, it's time to bring in some exceptional new talent to help us build this dream."

• Zero-Shot Intelligence goes live: Our promise of "no AI hallucinations – it simply works" will become a reality for our users
• Support for all high-frequency active US stocks
• Live modelling capabilities for top crypto pairs with L1 data
• Online library expanded to 40 agents
• Strategic team expansion
• Early paid engagements with clients in less regulated spaces through private invites

Thinking Deeper – Beta Release & Truly Reactive Agents!

"Building on the invaluable feedback from our Alpha users, our Beta release in Q4 will unlock even more power and intelligence. We'll be expanding our data horizons significantly. But the real magic? Our agents will start to not just execute, but to react and think after each task – offering a thrilling glimpse into the genuinely agentic, collaborative future we're crafting."

• Addition of FX and ETF data support
• Full Orderbook data and live OB modelling capabilities for top tickers
• Online library expanded to 60 agents
• "Co-worker" model goes live: SimicX will intelligently suggest appropriate models based on previous modelling results and user goals
• Continued early paid use and widened individual testing programme

Liftoff! Version 1.0 & Intelligent Quant Workflows for All

"The moment we've been building towards: the official launch of SimicX v1.0! This marks our transition to a fully production-ready platform. Our relentless focus will be on rock-solid performance, an even richer agent library, and the deepest integration yet of our QLLM, delivering truly intelligent, seamless workflows for our first wave of commercial users. It's about empowering everyone to work smarter, not harder."

• Production-ready platform delivered, boasting at least 5x performance improvements!
• Over 80 diverse agents available
• Full integration of QLLM-driven deep research capabilities across all workflows
• Introduction of real-time alerts & auto-refreshing models
• Comprehensive support for client data ingestion (file systems, databases, datalakes, etc.)
• Public enterprise access possible via invitation codes, alongside continued invite-only for individuals

Scaling Up & Ensuring Trust – Compliance & Enhanced Data

"With SimicX v1.0 making its mark, Q2 will be dedicated to robust scaling, ensuring ironclad regulatory compliance, and dramatically expanding our data universe. Our aim is to make SimicX not just exceptionally powerful and intelligent, but also unwaveringly trusted and incredibly comprehensive for even the most demanding enterprise environments. This is where SimicX truly matures into a cornerstone technology for our clients."

• Full regulatory compliance targeted, ready for broad enterprise and individual adoption
• Comprehensive data coverage: all US & UK stocks, ETFs, major FX/crypto pairs
• Integration of live 10ms order book snapshots across key financial markets
• Auto-scaling and elastic compute support implemented for seamless, on-demand performance
• Over 100 diverse agents enabled

Expanding Horizons – API & Enterprise Readiness

"This quarter, we're flinging the doors of SimicX wide open! With the release of our Public API and Model Context Protocol (MCP), we'll empower developers and institutions to weave SimicX's intelligence deep into their own bespoke systems. We're also rolling out critical enterprise features, cementing our role as a trusted partner for large-scale financial institutions. Our vision was always bigger than just a standalone platform; it's about becoming the intelligent engine for the entire quant ecosystem."

• Public API and MCP services officially launched
• On-premises deployment option made available for institutions with exacting security and data governance needs
• Support for client model libraries, complete with automated documentation and audit trail generation for unparalleled transparency
• Real-time position tracking and seamless integrations with brokers/exchanges introduced
• Implementation of continuous deep learning model retraining in the background, ensuring SimicX is always learning and improving

The Dawn of Autonomous Alpha – The Future is Here!

"This is our 'moonshot' quarter – the culmination of everything we've built and everything we aspire to. We aim for SimicX agents to transcend assistance and evolve into truly autonomous researchers, capable of independently identifying alpha and even suggesting the auto-deployment of novel strategies. This is where the human-AI collaboration reaches an entirely new dimension, redefining what's possible in quantitative finance."

• SimicX agents begin their evolution into autonomous researchers, demonstrating tangible capabilities in identifying alpha and proposing auto-deployment of new, high-potential strategies
• The full-scope 'quant co-worker' vision materialises: empowering users to build and operate their own proprietary algorithmic fund leveraging their unique SimicX assets — data, models, strategies, agents, and their bespoke, fine-tuned QLLMs