The toolkit that builds the platform ships with it.
InvestWeave includes the engineering layer it is built on. Engineers, data scientists and operations teams build agents and models, connect systems, shape data and run the platform with the same tools, so the firm can extend it without waiting on a vendor.
For engineers, data scientists and operations teams.
AI Foundry
Models, agents and prompts, built and governed.
The workbench for the AI that runs on the platform: models are developed and deployed, agents are managed and orchestrated, and prompts are tested and certified before release.
ML Studio: feature engineering, model development and deployment
Agent Studio: operational management of generative AI
Data is taken in at scale from diverse sources, exposed as an API and turned into dashboards, widgets and reports.
Ingesters: big-data scale intake of raw data
Data Insider: data exposed as an API
Business Intelligence: dashboards, widgets and reports
Diverse sources, one pipeline
Operations Toolkits
Run it with full telemetry.
The operating toolkits for the platform itself: data pipelines, services, models and agents are monitored, with alerts when something needs attention.
Data Ops: monitoring of ingest and transform, with recommendations
Service Ops: logs, traces, alerts and APM for all services
Agent Ops: telemetry for ML models, agents, prompts and executions
System Alerts: automated notifications for events and issues
Telemetry Ops: infra telemetry with observability analytics
How it works
Extend the platform with the tools that built it.
New agents, integrations, data products and dashboards are built on the same governed foundation as the solutions, and observed with the same telemetry.
AI Foundry
Platform Engineering
Data Engineering
Operations Toolkits
The systems the firm already runs
See what your own team can build on InvestWeave.
A technical briefing walks through the AI Foundry, the builders and the operations toolkits with your engineering leads.