CASE STUDY

AI-driven trading platform for a FinTech giant

How Syberry helped a $1.5B FinTech leader transform trading with AI and automation.

Tech stack/tools we used: Java, Python, JavaScript, Spring, Jooq, Flyway, Tornado, SQLAlchemy, Pandas, PostgreSQL, AWS, Splunk Cloud, Datadog, OpenAI, Typescript, React, Redux, RxJS, OpenFin, Jira

CRM system for a car reseller
Our ProjectsAI-driven trading platform for a FinTech giant

Client

Global FinTech company is developing a new product

Our client is an international leader in financial technology that offers critical solutions to support investing, corporate governance, and financial communications. They serve a wide range of clients with advanced platforms for regulatory compliance, trade lifecycle automation, and wealth management.

Solution

Next-generation B2B trading platform

Syberry is developing an AI-driven trading platform that centralizes and streamlines the client’s trading operations.

The platform pulls real-time market data, generates analytics, and provides users with actionable insights. Built-in auction functionality helps users buy and sell assets efficiently, and risk management tools assess exposures and suggest mitigation strategies.

The platform automates key workflows by taking over tasks like order execution, payment processing, and compliance tracking. It unifies client communication through an omni-channel module to allow users to interact across multiple channels from a single interface.

Through integrating data, automation, and decision-making tools, the solution lets users execute trades, manage risks, and maintain client interactions with speed and precision.

Succeed faster with Syberry

We aim to deliver an MVP between 6-12 months

Succeed faster with Syberry

We aim to deliver an MVP between 6-12 months

Key features

  • AI-powered trading assistant

    The platform features an AI-powered chatbot connected to internal databases and the web, ensuring precise, reliable answers to trade-related questions. Users can access market insights, operational details, and execute trades directly through the chat.

    This chatbot goes beyond basic queries, generating charts, building tables, and streamlining asset management—all within the chat interface. It simplifies workflows and empowers users to make informed decisions instantly.

  • Real-time investment dashboard

    The platform constantly scans global markets and provides real-time updates on market trends, asset performance, and emerging opportunities. Users receive instant notifications about critical shifts, helping them react quickly and capitalize on favorable conditions.

    With dynamic dashboards and tailored alerts, users can track key metrics, identify risks, and stay ahead of market changes.

  • Integrated auction system

    The platform features an auction mechanism that allows users to buy and sell assets in real-time. For both stocks, bonds, and alternative investments, users can participate in competitive bidding directly from the platform.

    With transparent pricing, instant transaction updates, and secure processing, the auction system automates trading workflows. Users can execute trades efficiently while minimizing risks and maximizing returns, all within a single, unified environment.

Succeed faster with Syberry

We aim to deliver an MVP between 6-12 months

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