Epigraph Solutions
Machine learning • Optimisation • Open source
Living Above the Curve.
What Epigraph Solutions is
One company, three connected parts
01
Consultancy
We solve hard machine learning and optimisation problems for clients, from problem framing to production.
02
Open-source tools
We build and maintain general-purpose tools in the open, led by Jaddle (convex solver) and FLearn (online ML).
03
Open-core model
The core tools are open source. The bespoke solutions we build on top of them for a client can stay closed.
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An ML and optimisation consultancy
We turn hard prediction and decision problems into systems that work in production
1. Frame
Pin down the real objective, constraints and data
2. Model
Formulate it as a learning or optimisation problem
3. Solve
Choose or build the right solver and algorithms
4. Deploy
Ship it, monitor it and keep it improving
Where we help
Forecasting & prediction
Scheduling & allocation
Pricing & portfolios
Real-time streaming models
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Our open-source tools
General-purpose ML and optimisation tooling, built and maintained in the open
Jaddle
General-purpose convex solver
- Formulate and solve a broad range of convex optimisation problems with one tool
- Powers the optimisation side of our client work
- Use it directly, or as a building block in your own systems
FLearn
Online machine learning library
- Models learn incrementally, one observation at a time
- Built for streaming data and conditions that drift over time
- Stays current without retraining from scratch
Both are open source: free to use, inspect, extend and contribute to.
Open core: open tools, bespoke solutions
The foundation is public. What we build on it for you can stay yours.
Bespoke client solutions
Built for one client’s problem. Can remain closed.
built on
Open-source core
Jaddle · FLearn · general-purpose tooling
For clients
Transparent, proven foundations, with your bespoke work kept private
For the community
Useful general-purpose tools, free and open to everyone
For the tools
Real client problems keep pushing the core forward
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