Almost Ready to Bottle
Making a great bourbon is complex — and it takes time.
So does transforming something as complex as machine learning for portfolio management into something simple, intuitive, and accessible.
Introducing the Platform
Small Batch AI has developed the first
no-code, enterprise-grade machine learning platform
built specifically for investment professionals
— not software engineers.
You’ll soon be able to, All without writing a single line of Python or R:
- Build and deploy predictive models
- Construct and rebalance portfolios
- Analyze risk, sentiment, and correlation
- Use deep neural networks and reinforcement learning algorithms
Instead, a structured, visual workflow guides you step-by-step — from ingesting data, to building and evaluating models, to deploying strategies in production.
"Recipes" Built for Asset Managers
Our curated ML recipes are drawn from the latest research on using machine learning in portfolio management to generate alpha, manage risk, increase profits, and create a differentiated client experience. Each recipe walks you through:
- Data integration (economic, alternative, technical)
- Feature engineering
- Model building
- Backtesting and deployment
- Compliance-ready explainability
The Skills Gap Is Real
The CFA Institute surveyed its global membership:
- 64% said they need to be proficient in data science and ML
- Only 3% said they were
To help close that gap, the CFA Institute launched a Data Science Certificate...but it requires learning Python or R — a barrier for most investment professionals.
Small Batch AI removes that barrier.
No code. No dev team. Just real machine learning, finally made accessible.
Why Small Batch AI?
No-Code: Built for investment professionals, not coders
Enterprise Grade: Java-based, not built on scripts
End-to-End: From data prep to deployment
Explained: Full transparency and audit-ability for compliance
Yours: Your data stays private. Your models, your IP.
Built-in GenAI - Where it Belongs
Our generative AI works behind the scenes to:
- Auto-configure parameters
- Optimize experiments
- Eliminate data-science friction
You’ll never need to think about dropout rates, buffer sizes, or learning rates.
Still Using Spreadsheets?
“73% of hedge fund executives say their firms waste time on manual, spreadsheet-based analytics.”
— FundsTech, Jan 2025
You already know machine learning is the future.
Small Batch AI makes it your future — no engineers required.
Same Experiment, Different Experience
Using LSTM to Predict a Stock Price
Clicks Instead of Code with SmallBatch AI
Clicks Instead of Code with SmallBatch AI
Clicks Instead of Code with SmallBatch AI
Clicks Instead of Code with SmallBatch AI
Clicks Instead of Code with SmallBatch AI
Be an Early Adopter
We’re looking for a select group of investment professionals to participate in our early adoption program.
If you’d like to explore the platform before it launches, or help shape its final stages, we invite you to join the early access candidate list:
Join the Early Adopter List
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