Main Sequence DEvelopment Platform

Strategic Cross-Organizational Impact Powered by Quants, Analysts, and Engineering

Main Sequence is a development platform for the new era of AI-assisted work, unifying business and engineering teams to build, automate, and scale with enterprise-grade control. It provides the framework and infrastructure layer that empowers business users to work effectively with code-assistant tools, while giving engineering teams the governance, quality, and oversight required to operate securely and at scale.

the principles

Main Sequence Development Platform Principles

Main Sequence accelerates development by automating the entire code production cycle. Business users can launch projects instantly in ready-to-use environments, while every commit is tracked for control and compliance.
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From a single interface, users can schedule tasks, publish dashboards, and share resources across the organization — all in seconds. Simplicity is at the heart of every data workflow. Main Sequence makes it effortless to connect, build, and maintain data pipelines without complexity or friction.

Fast Iteration, Development and Maintenance

The Main Sequence platform is built to scale collaboration across teams and the entire organization. It enables fine-grained access control while keeping data and workflows easily shareable through a unified framework.

This allows team members to collaborate seamlessly — not only within their own groups but also across functional areas.

Data engineers can provide clean data pipelines → researchers can generate signals and recommendations → portfolio managers can simulate and consume risk parameters — all within a single, transparent environment

Control and Collaboration

Main Sequence is purpose-built for finance. It unifies assets, portfolios, accounts, trades, and orders within a single, connected framework — allowing users to build data workflows that align naturally with how financial organizations operate.

Designed for Financial Workflows

By abstracting infrastructure elements like networking, scaling, and orchestration, Main Sequence allows business users to focus on outcomes while giving engineering teams a controlled, monitored environment that aligns with enterprise standards.

Simple Infrastructure Management

Platform Overview

Working at scale has never been easier.

Projects Search

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Project Name
Jobs
Cluster Usage
Default Project
7
1820.4 Hours
data_connectors
12
48.52 Hours
SentimentAnalysis
15
405.4 Hours
Datascience
2
0.0 Hours
ImageProcessing
8
275.78 Hours
SentimentAnalysis
Compute Engine
Linked runtime environment
Data Engine
Unified storage & datasets
Version Control
Integrated Git repository
Control and Collaboration

Organize infrastructure and code in Projects

No more folders or scattered files — teams can organize their work in projects that bring together code, compute, and storage needs in one place. This makes collaboration seamless while preserving full control and traceability.

Each project is automatically linked to a compute engine, a data engine, and a version-controlled code repository, making projects the central control entry point for your work.

Explorer •••
Problems
Output
Terminal
GitLens
main-sequence init --project "sentiment-analysis"
Authenticating user... OK
Fetching cloud configuration... Done
uv sync --frozen
Resolved 42 packages in 0.12s
Installed 42 packages in 0.8s
Generating scaffolding (src/, tests/, dashboards/)...
Setup Complete. Environment locked (uv.lock).
git push origin main
Uploading objects: 100% (24/24), done.
Project Live. Ready for Automation.
1-Click Project Setup
Fast Iteration, Development and Maintenance

Develop at lightning speed

With a single click, use our VS Code extension to set up your project locally—virtual environment, AI instructions, folder structures, and all required configuration automatically generated. Commit your changes, push them to your project, and you’re ready for automation.

Learn More
SentimentAnalysis
Launch in Jupyter
19
Jobs
$ 0.16
Total Cost
1.14
Cluster Hours
File Browser
dashboards
src
train_model.py
Create Job +
requirements.txt
Schedule New Job
CPU Standard
GPU A100
Cancel
Schedule Job
Job "Training_Weekly" Scheduled!
Simple Infrastructure Management

Automate Workflows. Reduce Manual Tasks.

Within your project, access all your work and automate processes by scheduling them or linking them directly from a centralized interface. Since each project is already connected to a compute engine and data engine, all you need to do is assign a name, set a schedule, select the computing resources—and you’re done.

asset_workflow.py
Main Sequence Client
1# Code: Using Python properties to access nested data fields
2asset = AssetMixin.get(id=123)
3
4# Client accesses Ticker directly,
5# ignoring the AssetSnapshot relationship
6ticker_symbol = asset.ticker
7security_name = asset.name
8
9# Query: Simple filtering using standard fields
10apple_assets = AssetMixin.filter(
11 ticker='AAPL',
12 security_type='CS'
13)
> Running AssetMixin.ticker property...
> asset.ticker actually resolves to: asset.current_snapshot.ticker
> Result (Ticker): AAPL
> Result (Name): Apple Inc.
> Running AssetMixin.filter(ticker='AAPL')...
> Client query 'ticker' translated to: current_snapshot__ticker
> Backend executed filter: current_snapshot__ticker='AAPL'
> Retrieved 4 matching assets.
Designed for Financial Workflows

Investment Management Ready

Finally, a development platform built for the financial industry. No more painful processes trying to match asset master lists or remodel financial objects. Main Sequence comes fully integrated with an investment management system, enabling you to easily incorporate concepts such as assets, accounts, funds, portfolios, trades, and orders directly into your development workflows.

SentimentAnalysis
Launch in Jupyter
19
Jobs
$ 0.16
Total Cost
1.14
Cluster Hours
File Browser
dashboards
backtesting_results_app.py
Publish
src
train_model.py
Publish Asset to Organization
Dashboard
Agentic Tool
Cancel
Publish
Asset Published as Agentic Tool!
control and collaboration

Build Once. Share Everywhere.

With automated infrastructure management, reusable environments, and a platform designed for rapid iteration, you can build dashboards or agentic tools once and share them across your entire organization. Select any of your project assets and make them instantly available to teams, accelerating collaboration and reducing duplicated effort.

Programmable Intelligence Layer for Financial Applications

A unified development environment that gives engineers and analysts the power to build, automate, and integrate every aspect of a financial workflow using Python and a fully open API.

Python SDK for Analytics and Automation

Enables rapid creation of models, risk engines, data transformations, and automated financial workflows using a familiar, powerful language.

Full API for Complete Platform Access

Delivers real-time, programmatic control over data, processes, and system components—ensuring seamless integration across trading, accounting, reporting, and operational systems.