Company profile: Granify
1.1 - Company Overview
Company description
- Provider of a SaaS solution for online retailers that uses big data and machine learning to analyze shopper behavior and deliver dynamic, contextualized, personalized shopping experiences at optimal moments to drive conversion and incremental revenue, supported by white-glove service and a proof-of-value trial before charging based on incremental revenue generated.
Products and services
- Incremental Revenue Technology: Advanced machine learning system, custom-engineered, delivers relevant shopping experiences at the right moments, learning over time to maximize incremental revenue for online retailers
- Contextual Commerce: Machine learning component, real-time, analyzes shopper behavior to architect personalized experiences and determines optimal message timing to drive conversion
- Personalized Experiences: Dynamic, privacy-preserving assembly, SaaS-based, uses real-time behavioral data to produce contextualized experiences for new and returning visitors without relying on personally identifiable information
Key contacts
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Financial details
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1.2 - Competitors and similar companies to Granify
Nexosis
HQ: United States
Website
- Description: Provider of a machine learning API for developers, enabling them to quickly and easily build applications that leverage machine learning; later acquired by DataRobot.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
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- Total funding raised: $●●●m
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Hubdata
HQ: France
Website
- Description: Provider of data analytics tools and business intelligence expertise to enable corporate clients.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
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TeraHelix
HQ: United Kingdom
Website
- Description: Provider of an enterprise-scale platform accelerator and data infrastructure technologies for trading and risk management platforms, enabling rapid, scalable application development for petabyte-scale, complex financial instruments in global risk and regulatory environments. Offers SPEAR unified data model paradigm, Data Explorer for model cataloguing, ETL Mapper low-code mappings, and automated Data Quality management.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
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- Acquisitions: ●●
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Onyara
HQ: United States
Website
- Description: Provider of secure, reliable dataflow solutions built to deliver high-quality, real-time data and address the challenges of sensor-generated dataflow at scale; original creators of what has become Apache NiFi and active members of the open source Apache NiFi community.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
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Tellius
HQ: United States
Website
- Description: Provider of an AI-powered business analytics platform that accelerates data-driven insight and decision-making. The platform extends self-service BI with natural language search analytics, search-enabled visualizations, automated insights, guided insights, automated machine learning, and data preparation at scale for ad hoc analysis, insight generation, and predictive modeling.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
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- Acquisitions: ●●
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2.M&A buyers
2.1 Potential strategic acquirers in the sector
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2.2 - Strategic buyer groups for Granify
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Buyer group 3: ████████ ████████
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Key Products: ████████, ████████, ████████, ████████
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3. Investors and private equity firms
3.1 - Buyout funds investing in similar companies to Granify
2.2 - Growth funds investing in similar companies to Granify
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4 - Top valuation comps for Granify
4.2 - Public trading comparable groups for Granify
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