Best Big Data Analytics Companies in Toronto, Canada
The 45 best Big Data Analytics companies in Toronto, Canada in 2026, ranked by funding and momentum. Funding, investors, founders, valuation, tech stack and live signals. Top: Cohere.
Ranked: Best Big Data Analytics companies in Toronto
| # | Company | Disclosed funding | Last round | Employees | Founder | Tech stack | Web popularity | Patents & IP focus | Recent signals |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 3DEye Provider of cloud video surveillance and AI platform for security | — | — | 12 | Slava Hrytsevich Co-Founder & CEO | Webflow EcommerceWebflowAmazon Web Services+25 | Top 5M | — | 1 launch |
| 2 | Afterdata Company Data catalog management solution | — | — | 9 | Daniel Zhang Co-Founder & COO | — | — | — | — |
| 3 | Caninsoft AI powered data quality management platform | — | — | — | Sriram Ramaswamy Co-Founder & CEO | — | — | — | — |
| 4 | Clue Provider of a platform offering decision support software | — | — | — | Chris G Co-Founder | — | — | — | — |
| 5 | Code Assist AI based no code data cleansing solution provider | — | — | — | Kartikay Goyle Co-Founder | — | — | — | — |
| 6 | Craftly Ai Provider of a cloud and NLP-based copywriting assistant | — | — | — | Iman Bashir Founder | Firebasestyled-componentsEmotion+18 | Top 10M | — | — |
| 7 | Datachili Data preparation platform | — | — | — | Sean Kondra Co-Founder | — | — | — | — |
| 8 | DataTorch Provider of a platform for managing and automating AI model development | — | — | — | Michael Nguyen CEO | — | — | — | — |
Top 12 Big Data Analytics companies in Toronto
#1
Cohere 🦄Series D · Toronto, Ontario · founded 2019 · 44 employees$970Mraised▾
Developer of enterprise AI platform and multilingual language and retrieval models. The company provides tools for workplace productivity, intelligent search, and semantic text representation. It offers models for relevance-based result refinement and high-performance generative tasks. The platform supports customization and private deployments, catering to various industries. It also provides developer resources, including API access and technical documentation.
- Sep 2025Series D$100M
- Aug 2025Series D$500M
- Jun 2024Series D$500M
- Jul 2023Series C—
#2
Public · Toronto, Ontario · founded 2011 · 21 employees$7.9Mraised▾
Transaction based in store analytics solutions for offline retailers. Its product data tap offers real time access to sales information from POS systems. The company provides an analytics dashboard and uses AI and machine learning algorithms to summarise and analyze unstructured data. It enables offline retailers to monitor and track its business KPIs in real time.
- Jun 2025Post IPO$2.2M
- Jun 2024Post IPO$645.5K
- Feb 2024Post IPO$1M
- Jan 2019Post IPO$1.1M
#3
Acquired · Toronto, Ontario · founded 2021 · 4 employees$16.3Mraised▾
Provider of an AI platform for data and analytics solutions. The platform delivers data governance and context across the entire data stack. It offers features such as AI-powered search, data cataloging, data lineage, and data quality monitoring. The platform also provides tools for data documentation, access requests, and policy enforcement.
- Sep 2023Series A$14M
- Oct 2021Seed$2.2M
- Sep 2021Seed$125K
#4
Series B · Toronto, Ontario · founded 2013 · 57 employees$12.6Mraised▾
Provider of AI-based mapping systems generating high-definition vector data. It leverages artificial intelligence to digitize geospatial imagery at scale. The company generates vector maps with accuracy, providing a source of geospatial data. It offers detailed insight about the real world across terrains.
- Jul 2022Series B$6.1M
- Jul 2022Grant (prize money)$8M
- Sep 2019Series A$6.5M
- Sep 2016Seed—
#5
Series A · Toronto, Ontario · founded 2011 · 40 employees$7.7Mraised▾
Predictive analytics for public and utility businesses. It provides predictive intelligence on local utility and public infrastructure markets. The platform uses AI to analyze regulatory documents and public records to convert sales leads and market insights.
- Mar 2022Series A$5M
- Oct 2020Seed$519.6K
- Mar 2018Seed$1M
- Aug 2017Seed$500K
#6
Acquired · Toronto, Ontario · founded 2013 · 100 employees$45.1Mraised▾
Provier of cloud-based business intelligence platform for omnichannel retailers. It offers a platform that blends AI, machine learning, and cloud data services to turn disparate retail data into predictive insight and automated decision workflows. Its cloud-native AI platforms automate and improve promotional planning and loyalty driven marketing. Its retail-specific AI solutions integrate with multiple data legacy systems and provide business insights.
- Jan 2018Series B$37.1M
- Jan 2015Series A$7M
- Nov 2013Seed$1M
#7
Seed · Toronto, Ontario · founded 2021 · 11 employees$1.3Mraised▾
Data observability platform for businesses. It is a data quality platform that identifies data quality issues in real-time. It provides a data dictionary feature to search for table and column names in the platform. It automates anomaly detection by monitoring the table, process, and dashboard in the data warehouse.
- Jun 2023Seed$1.3M
#8
Seed · Toronto, Ontario · founded 2016 · 19 employees$2.3Mraised▾
Machine learning-based business intelligence suites provider. The product offered by the company is a customizable multi-cloud Machine Learning Feature Store. It also offers a cloud-based organization-specific search engine. The product maps business keywords such as sales and city to validated queries. The product develops and manages production-ready datasets required to scale ML and analytical use cases.
- Feb 2022Seed$2.2M
- Apr 2020Angel$148K
#9
Series A · Toronto, Ontario · founded 2014 · 57 employees$5.9Mraised▾
Offers AI data catalog platform for managing and sharing data. It allows users to index any dataset, virtualize from cloud warehouses, or ingest via an ETL pipeline, structure governance rules and automate and enforce governance rules. It offers metadata management, governance, sharing, collaborating, integration, and migration. It is a tool available on the subscription based pricing model.
- Jun 2020Series A$5.9M
- Mar 2018Seed—
#10
Seed · Toronto, Ontario · founded 2013 · 34 employees$1.1Mraised▾
Vantage Analytics offers data analytics and marketing platform for small and medium-sized retailers. Provides forecasting and marketing automation platform across Shopify, Magento, and Bigcommerce. Claims to be used by thousands of brands and retailers in 99 countries around the world. Awarded Top 10 Retail Analytics Solutions of 2016 by Retail CIO Outlook.
- Aug 2014Seed$1.1M
#11
Seed · Toronto, Ontario · founded 2015 · 14 employees$647.4Kraised▾
Provider of language-based personality insights and behavioral understanding through frameworks. It offers tools for analyzing language to understand motivations, decision-making styles, and social dynamics. The company's frameworks quantify personality traits and emotional tone expressed in language. Its technology supports custom applications, automated analysis, and integration of behavioral understanding.
- Oct 2016Seed$300K
- Aug 2015Seed$347.4K
#12
Acquired · Toronto, Ontario · founded 1984 · 150 employees$666.5Kraised▾
Angoss delivers predictive analytics and data mining solutions for growing revenue, increasing sales productivity and improve marketing effectiveness while reducing risk and cost. It provides comprehensive modeling, patented Decision Trees, strategy design to analysts with flexibility to code in the language of SAS, SQL and R or simply utilizing pre-built functional nodes for automated code generation.
- Nov 2011Unattributed$666.5K
Funding & investor landscape
Notable founders
Market landscape — 10 sub-themes by coverage
Share of Big Data Analytics coverage by sub-theme.
Regulatory-risk over time rising
Funding & growth over time
funding rising · growth rising
Common questions
Rohit lives in the feed. He covers what's moving right now — the funding rounds, launches and shifts breaking across the trade press — and ties them back to where the sector is heading.