Tallarium is a data analytics platform that utilizes machine learning to aggregate and analyze fragmented pricing data in OTC energy markets, providing real-time, objective price discovery. This enables traders to identify optimal trading opportunities and manage market risks with a high degree of accuracy, enhancing decision-making in a complex and opaque environment.
Funding
$7.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Over-the-counter (OTC) energy markets are characterized by fragmented pricing data scattered across chat, voice, and messenger applications, making it difficult for traders to obtain a clear and objective view of market prices. This opacity hinders accurate price discovery, leading to missed trading opportunities and increased risk exposure.
Solution
Tallarium is a data analytics platform that aggregates and analyzes fragmented pricing data in OTC energy markets using machine learning to provide real-time, objective price discovery. The platform captures incoming quote data from various sources, including chat, voice, and messenger apps, and automatically analyzes it in real time. Tallarium's technology translates this fragmented data into a single, complete picture of product pricing, enabling traders to identify optimal trading opportunities and manage market risks with greater accuracy. The platform delivers an accurate view of live and end-of-day (EoD) pricing, providing insights into market trading dynamics.
Target Audience
The primary users are energy traders and risk managers in OTC markets who need real-time, objective price discovery to improve trading performance and manage market risks.
Features
- Quote Aggregator: Captures and analyzes quote data from chat, voice, and messenger apps in real time.
- T-Curves: Provides an objective view of live and EoD pricing with high accuracy for key global benchmarks.
- Integrations: Offers easy integration with existing systems via Excel and API.
- Data science-driven algorithms: Employs advanced data science and machine learning for high levels of accuracy.
- Comprehensive datasets: Models are trained on extensive datasets spanning numerous markets and data sources.