# Softmax Data Inc.

> Production grade AI Engineering

- Canonical listing: https://agencysource.com/agencies/softmax-data
- Location: Vancouver, Canada
- Categories: [Custom Software Development](https://agencysource.com/categories/custom-software-development), [AI & LLM Development](https://agencysource.com/categories/ai-development), [AI Agents & Automation](https://agencysource.com/categories/ai-agents-automation), [Data & Analytics](https://agencysource.com/categories/data-analytics), [AI Consulting & Strategy](https://agencysource.com/categories/ai-consulting)
- Services: AI Development, AI Agents, AI Consulting, Generative AI, BI & Big Data Consulting & SI
- Industries: Information technology, Financial services, Real estate, Insurance, Legal
- Team size: 10 - 49
- Hourly rate: $200 - $300 / hr
- Minimum project: $50,000+
- Founded: 2019
- Website: https://softmaxdata.com
- Listing: Not yet claimed
- Agency Source rating: no Agency Source reviews yet

## About

Softmax Data is a Vancouver-based AI engineering consultancy that builds production AI systems for enterprise and mid-market companies. Founded in 2019, we specialize in four areas: document AI pipelines for regulated industries, AI agent development (orchestration, end-to-end agentic systems, context engineering, and context storage), model development and LLM fine-tuning, and data foundations, including Databricks implementation and ETL pipelines.

We've delivered 150+ projects for 50+ companies — including Deloitte, Capital One, Clio, Rocket Mortgage Canada, and LoneWolf Technologies — across mortgage/lending, legal tech, marketing, and retail, creating over $72M in business value. Our solutions run in production daily, not in demo environments.

We're an official AWS Machine Learning Partner and Databricks Partner. Our team has been building and deploying ML models since before the current AI wave — we bring depth in both the engineering and the business context that determines whether an AI project actually reaches production.

Typical engagements range from 4–12 weeks. We work with CTOs and VPs of Engineering who need to ship AI features fast without compromising reliability.

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