Quantum Data Technologies
Quantum Data Technologies is a data science services and solutions company.
- Company typePrivate
- Founded2017
- HeadquartersVancouver, Canada
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Quantum Data Technologies does
Quantum Data Technologies is an engineering company with a passion for using advanced technology to solve complex business problems. We are fascinated with the pursuit of innovation and to constantly push the boundaries of what’s possible with AI, Big Data, and Machine Learning.
Quantum Data Technologies firmographics
Firmographics- Name
- Quantum Data Technologies
- Legal name
- Quantum Data Technologies Ltd.
- Website
- https://qdt.ai/
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Quantum Data Technologies is a data science services and solutions company.
- Ownership category
- akta.pro rank
Where Quantum Data Technologies is headquartered
LocationHeadquarters
- HQ city
- Vancouver
- HQ country
- Canada
- HQ region
- North America
Offices2 records
Markets served
Quantum Data Technologies business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations, Supply Chain
Revenue model
- Subscription - Quantum ML Platform: SaaS subscription tiers for Quantum ML platform access with model building capabilities. Tiers include Core ($1,799/month), Professional ($2,499/month), and Enterprise (custom pricing). Pricing varies by number of models per month, predictor limits, backtest history, and support levels.
- Subscription - Q.Forecast: Subscription tiers for Q.Forecast forecasting product: Essential ($99/month), Core ($249/month), and Professional (starting at $999/month). Pricing based on model access, number of models, and predictor limits.
- Data Licensing: Licensing access to Quantum Data Lake data for in-platform use. Enterprise customers can access over 150,000 global data sources including financial markets, macroeconomic indicators, shipping, climate, and trade data.
- White-Label / OEM Licensing: White-label deployment of QDT's forecasting platform for partners like CME Group's DataMine Machine Learning Service. Partners embed QDT technology into their own branded platforms and distribution channels.
- Bespoke / Custom Solutions: Custom ML solutions developed specifically for enterprise clients including Mars (commodity procurement), Tata Steel (coking coal forecasting), Hershey (demand forecasting), and Campbell's (dynamic pricing).
- Managed Cloud Services: Fully managed service deployment where QDT hosts the Services on QDT-managed infrastructure with compute and storage limits defined in Order Forms.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Essential - Entry-level forecasting access |
| Subscription | Monthly | Core - Mid-tier forecasting with more models |
| Subscription | Monthly | Professional - Advanced forecasting capabilities |
| Subscription | Monthly | Core - QML platform access |
| Subscription | Monthly | Professional - Enhanced QML capabilities |
| Subscription | Multi-year contract | Enterprise - Full platform access with custom pricing |
| Usage-based | Monthly | DataMine ML Service - Per-model pricing |
Go-to-market motion1 record
Distribution channels5 records
Marketing channels5 records
Quantum Data Technologies product offering
Product offeringCore offering
Quantum Data Technologies sells an integrated enterprise AI/ML platform (Q.Suite) that combines a distributed data lake of 150,000+ global signals, an automated machine learning engine (Quantum ML) with adaptive forecasting, and a conversational intelligence layer (Q.Agent) to deliver decision-ready predictions for Fortune 500 enterprises. Its products (Q.Data, Q.Forecast, Q.Enterprise, Quantum ML, Quantum Data Lake) are sold as SaaS subscriptions, white-label integrations, and bespoke consulting engagements spanning commodities forecasting, procurement optimization, supply chain risk, demand forecasting, and marketing analytics.
Product overview
Quantum Data Technologies offers an integrated suite of enterprise AI/ML products organized as a platform-plus-modules architecture. The core platform Q.Suite connects three integrated layers: Q.Data (data intelligence with 150,000+ signals), Q.Forecast (predictive forecasting), and Q.Agent (conversational intelligence). The foundational Quantum ML (QML) engine and Quantum Data Lake (QDL) power the platform's adaptive AI capabilities. Q.Enterprise provides the unified enterprise deployment layer. Bespoke modules include Commodities Forecasting, Global Trade Analytics, Predictive Supplier Insights, and Marketing Analytics Suite. The company also delivers white-label solutions such as the DataMine Machine Learning Service for CME Group. The platform serves Fortune 500 companies across commodities trading, procurement optimization, supply chain risk, financial forecasting, and marketing analytics use cases.
Differentiator
Problem solved
Functional benefit
Brands
- Quantum ML: End-to-end enterprise MLOps platform that operationalizes machine learning, delivering decision-ready forecasts across commodities, risk management, and strategic planning.
- Quantum Data Lake (QDL)
- Q.Forecast
- Q.Data
- Q.Enterprise
- Q.Suite
- Q.Agent
Products and services
- Q.Data Data intelligence platform providing instant access to over 150,000 signals with GenAI-ready structured data. Offers Search and Discover, flexible delivery via API/CSV/cloud-to-cloud transfer, and SOC 2 Type II certified security. Covers financial markets, macroeconomic indicators, commodities, FX/crypto, trade flows, shipping, weather, and news/sentiment data.
- Q.Forecast Best-in-class forecasting platform powered by advanced MLOps. Provides 150+ prebuilt forecast models for commodities, cryptoassets, currencies, equities, indices, and fundamentals. Supports custom model building with configurable targets, predictors, and timelines. Subscription tiers from $99/month (Essential) to $999+/month (Professional).
- Q.Enterprise Unified enterprise AI suite that operationalizes machine learning for decision-ready forecasts across commodities, risk management, and strategic planning. Unifies data ingestion, model development, deployment, monitoring, and interpretation in a single system. Features The Data Advantage, ML Ops at Scale, and the Adaptive AI framework.
- Q.Agent Conversational intelligence layer of Q.Suite that grounds GenAI in domain knowledge, connects to trusted data and forecasts, and supports the full path from question to evidence to decision. Features Trusted Data Foundation, Predictive Intelligence, and Decision Workflows for enterprise users.
- Q.Suite Enterprise intelligence platform connecting Q.Data, Q.Forecast, and Q.Agent through a shared technical foundation. Standardizes the full intelligence chain: Access (fragmented information), Validation (sources/provenance), Methodology (consistent methods), Prediction (forward-looking), Reasoning (domain logic), Action (decision-ready), and Expansion (scalable foundation).
- Quantum ML (QML) End-to-end enterprise MLOps platform enabling organizations to build and deploy machine learning models at scale. Features Adaptive AI with continuous learning, automated ML workflows, quantitative data evaluation with driver analysis, and access to 200,000+ global data sources. Pricing from $1,799/month (Core) to $2,499/month (Professional), with Enterprise custom pricing.
- Quantum Data Lake (QDL) Highly sophisticated multi-layered distributed data lake serving as the foundation for QDT's product suite. Provides a vast repository of over 150,000 organized data sources that are secure, compliant, curated, categorized, and pre-processed. Offers a plug-and-play API for seamless integration with Quantum ML and third-party applications.
- DataMine Machine Learning Service (CME Group white-label) White-label Automated Machine Learning platform deployed within CME Group's secure infrastructure. Provides predictive analytics for trading insights using CME data and other public data. Features comprehensive data integration, custom model architecture, and enterprise-grade security. Achieved 20% higher returns for CME traders; institutional tier extends forecasting to Shell, Chevron, and Cargill.
Quantifiable outcome
- 30x return on investment over 3 years for commodity procurement (Mars)
- +8 more outcomes
Companies that use Quantum Data Technologies
Customer profileNamed customers11 records
Segments6 records
Ideal customer profiles5 records
Quantum Data Technologies technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability10 records
Feature9 records
Quantum Data Technologies partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered flagship and core.
- CME GroupflagshipPartnership to deploy DataMine Machine Learning Service - a specialized instance of Quantum ML platform tailored for financial forecasting. Deployed within CME's secure infrastructure with native data integration from CME's proprietary datasets. Delivered 20% higher returns for traders. Second collaboration (DataMine ML Service Pro) extends forecasting to institutional clients including Shell, Chevron, and Cargill.
- Lloyd's List IntelligencecoreQDT partnered with Lloyd's List Intelligence to bring extensive trade flow and shipping database to QDT's Quantum Data Lake. Leverages Lloyd's List Intelligence's maritime data to significantly enhance predictive accuracy for commodities like coking coal and crude oil.
- ChainlinkcoreQDT launched its own Chainlink node to provide AI-powered Bitcoin price predictions on-chain. Enables DeFi developers to integrate accurate, multi-day forecasts into smart contracts. Partnership brings AI-driven BTC price predictions and extensive off-chain data directly to blockchain developers.
- NSE CogenciscoreQDT integrated forecasting models directly into the Cogencis terminal, providing Nifty 50 and sectoral index forecasting models to thousands of terminal subscribers across India. Differentiates Cogencis terminal with predictive analytics previously available only to institutional quantitative teams.
Scale indicators12 records
Recent moves6 records
Expansion highlights6 records
Quantum Data Technologies competitors and assessment
Company assessmentDirect peers
- DataRobot: Enterprise AutoML/MLOps platform offering automated model building, deployment, and monitoring for Fortune 500 customers. Closely comparable to QDT's QML/Q.Forecast positioning and target buyer.
- H2O.ai: Provider of an enterprise AI/ML platform with AutoML, feature engineering, and MLOps. Overlaps with QDT's adaptive ML and forecasting use cases across financial services and enterprise.
- Dataiku: End-to-end enterprise AI/ML platform combining no-code and code-based model development, MLOps, and governance. Direct competitor to QML in Fortune 500 MLOps deals.
- Domino Data Lab: Enterprise MLOps platform focused on model development, deployment, and governance for regulated industries. Closely comparable to QDT's MLOps-at-scale positioning.
- Prevedere: Predictive analytics platform delivering macroeconomic and external-data-driven forecasts for enterprise planning. Closely aligned with QDT's forecasting + macroeconomic data lake offering.
Broad incumbents
- Palantir Technologies: Large enterprise data analytics and AI platform (Foundry/Gotham) serving Fortune 500 across supply chain, commodities, and finance. Broad incumbent that competes for similar enterprise AI budgets as QDT.
- Databricks: Unified data and AI platform (lakehouse + MosaicML) serving enterprise data teams with ML, GenAI, and governance. Competes for the same enterprise data/ML stack budget that QDT addresses.
- C3.ai: Enterprise AI application platform offering prebuilt industry apps for supply chain, financial services, and commodities. Comparable buyer profile and forecasting/predictive use cases to QDT.
Emerging players
- Dataminr: Real-time AI platform fusing news, social, and event data into alerts and forecasts for enterprise and financial clients. Comparable in alternative-data + AI forecasting approach.
- RavenPack: Alternative-data and news analytics provider serving financial institutions with sentiment and event-driven signals. Overlaps with QDT's news/sentiment and trading-signal use cases.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Quantum Data Technologies social profiles
Digital presenceQuantum Data Technologies compliance and trust
Trust signalCompliance4 records
Quantum Data Technologies financial estimates
Financial estimateRevenue estimate
Valuation estimate
Quantum Data Technologies leadership team
Management profileNumber of profiles
Profiles2 records
Quantum Data Technologies funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Quantum Data Technologies M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Quantum Data Technologies
What does Quantum Data Technologies do?
Quantum Data Technologies sells an integrated enterprise AI/ML platform (Q.Suite) that combines a distributed data lake of 150,000+ global signals, an automated machine learning engine (Quantum ML) with adaptive forecasting, and a conversational intelligence layer (Q.Agent) to deliver decision-ready predictions for Fortune 500 enterprises. Its products (Q.Data, Q.Forecast, Q.Enterprise, Quantum ML, Quantum Data Lake) are sold as SaaS subscriptions, white-label integrations, and bespoke consulting engagements spanning commodities forecasting, procurement optimization, supply chain risk, demand forecasting, and marketing analytics.
Is Quantum Data Technologies a public or private company?
Quantum Data Technologies is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Quantum Data Technologies founded?
Quantum Data Technologies was founded in 2017. It employs 11 to 50 people.
Where is Quantum Data Technologies based?
Quantum Data Technologies is headquartered in Vancouver, Canada, in the North America region.
How does Quantum Data Technologies make money?
Six revenue lines are on record. Subscription - Quantum ML Platform is the primary driver. The others are subscription - Q.Forecast, data Licensing, white-Label / OEM Licensing, bespoke / Custom Solutions and managed Cloud Services.
Who are Quantum Data Technologies's main competitors?
Direct peers on record are DataRobot, H2O.ai, Dataiku, Domino Data Lab and Prevedere. Broad incumbents are Palantir Technologies, Databricks and C3.ai. Emerging players are Dataminr and RavenPack.
Does Quantum Data Technologies have an API?
Yes. QDT provides a REST API for data access and integration. Data access options include API, CSV, and direct cloud-to-cloud transfer. Secure access to data lakes and machine learning models through REST APIs with personalized user access and data encryption. The API enables access to over 150,000 signals/data sources for alpha discovery, quantitative trading, and enterprise data integration. Platform supports integration with enterprise authentication and access controls.