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Quanta for algorithmic trading

Private AI for quantitative and compute-intensive workflows.

A governed platform for research, analysis, documentation and processing large volumes of data without exposing strategies or intellectual property.

Applications

Use cases built around each industry’s data and systems.

01

Quantitative research

Support for datasets, hypotheses, variables, indicators and strategy documentation.

02

Backtesting

Preparation, execution and analysis of experiments connected to authorised tools.

03

Market analysis

Analysis of time series, events, patterns and context to support analytical workflows.

04

Operations and monitoring

Access to processes, metrics, incidents and component status.

05

Internal knowledge

Private access to methodology, documentation, code and historical decisions.

06

Model governance

Environment separation, roles, auditing and controlled access to sensitive strategies.

How it is deployed

A private environment connected only to authorised sources.

Agents are configured with roles, MCP tools, permissions and domain-specific knowledge. System access is restricted to the relevant process, and every activity can be audited.

DiscoveryProcesses, data, risks and objectives.
IntegrationMCP, APIs, databases and documents.
GovernanceRoles, permissions, policies and traceability.
Scale-upNew agents, teams and automations.