d1g1t operates a full-stack wealth management platform built on Python, Django, PostgreSQL, and AWS infrastructure. The stack reveals a modern data application: pandas and Polars for analytics pipelines, Celery for async task processing, and Bedrock for emerging AI capabilities. Active projects span portfolio management workflows, multi-custodian implementations, and AI-enabled monitoring—indicating a shift from legacy system replacement toward performance scaling and next-generation product features. Hiring velocity is accelerating with a leadership gap: 2 VP roles open alongside 4 engineering positions, suggesting rapid scaling of both engineering output and organizational structure.
d1g1t is an enterprise wealth management platform serving advisors, multi-family offices, RIAs, broker-dealers, custodians, and bank advisor networks. The platform consolidates portfolio management, risk analytics, reporting, and workflow automation into a single system designed to replace fragmented legacy tooling. The company is headquartered in Toronto and serves a 51–200 person organization. Product roadmap priorities include large multi-custodian client implementations, portfolio reporting optimization, and foundational IT maturity—reflecting both customer demand for complex multi-institutional support and internal operational scaling challenges.
d1g1t uses Python, Django, PostgreSQL, Redis, and Celery on AWS infrastructure (ECS, Lambda, Step Functions). Analytics are built with NumPy, pandas, and Polars. AWS Bedrock is integrated for AI capabilities.
Current initiatives include portfolio management and multi-custodian client implementations, AI-enabled monitoring, reporting roadmap optimization, IT process formalization, access management automation, and scaling customer success operations.
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