London, EC2A 4DN,
United Kingdom
Seenit Technographics
Seenit Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Seenit and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 30 Seenit employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Seenit has purchased the following applications: Chargebee for Subscription and Recurring Billing in 2023, Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2016, Hubspot Live Chat for Chatbots and Conversational AI in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Seenit is running and its propensity to invest more and deepen its relationship with Chargebee , Google , HubSpot or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Seenit revenues, which have grown to $3.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Seenit intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Seenit Tech Stack and Enterprise Applications
Seenit ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Chargebee | Legacy | Chargebee | Subscription and Recurring Billing | ERP | n/a | 2023 | 2023 |
In 2023, Seenit implemented Chargebee to manage subscription sales directly on their website. Chargebee is deployed as the company Subscription and Recurring Billing application to centralize the pricing catalog, subscription lifecycle management, hosted checkout, and recurring invoicing for a 30 person professional services firm based in the United Kingdom. The deployment emphasizes customer self-service subscription signups and automated billing workflows to support commercial and finance activities.
The implementation configures subscription plans, trial handling, billing schedules, invoicing templates, and dunning workflows consistent with Subscription and Recurring Billing functionality. Chargebee is embedded on Seenit’s website to surface hosted checkout and customer portal capabilities and is operated to coordinate billing events with payment gateway endpoints and email notification systems. Operational ownership sits with finance and revenue operations, with sales and customer success using subscription status and billing data to manage renewals and support.
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Seenit AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Machine Learning Engine | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Seenit implemented Google Cloud Machine Learning Engine to support its crowd-sourced video platform. Seenit operates an app and online studio that collects user-submitted clips, and the company aligned this work with the ML and Data Science Platforms category to meet strict requirements for tagging accuracy and processing speed on Google Cloud Platform.
Google Cloud Machine Learning Engine was used to build and host models that automatically assess and tag each uploaded clip, creating searchable, detailed metadata for producers. Implemented functional capabilities include automated tagging and classification, model hosting for real-time inference, and automated metadata extraction workflows that feed the company’s indexing and search pipelines.
The implementation integrated directly with Seenit’s APIs, app, and online studio so clips are processed at ingest and metadata flows into production tooling and search. Operational coverage concentrated on production teams and content editors, who use the enriched metadata to find and assemble footage for clients such as broadcasters and enterprises.
Governance emphasized operationalizing automated tagging into producer workflows and maintaining continuous model training and deployment on Google Cloud Machine Learning Engine. Seenit reported that moving these workflows onto Google Cloud Platform and Google Cloud Machine Learning Engine delivered the processing speed and tagging accuracy required for its business model.
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Seenit AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| HubSpot | Legacy | Hubspot Live Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2019 | 2019 |
In 2019, Seenit implemented Hubspot Live Chat on their website. Seenit is a United Kingdom professional services firm of about 30 employees, and Hubspot Live Chat is deployed as their Chatbots and Conversational AI solution to support website engagement and inbound lead capture.
The implementation of Hubspot Live Chat focused on the on-site chat widget, configuration of automated greeting messages, canned responses for frequent inquiries, and conversation routing to designated marketing and sales inboxes. Hubspot Live Chat was configured to capture visitor contact details and conversation metadata into the vendor's contact records, and to persist chat transcripts for follow up and analysis.
Operational ownership is centered with the marketing team and small sales group, with the tool provisioned on the corporate website as the primary conversational touchpoint. Governance practices emphasize scripted responses, routing rules, and managed hours of coverage to align conversational workflows with lead qualification and customer engagement processes.
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Chatbots and Conversational AI | AI-Powered Application |
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2021 | 2021 |
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Seenit Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2014 | 2014 |
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Seenit CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Seenit ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2019 | 2019 |
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Seenit IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Database Management | IaaS |
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2023 | 2023 |
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IT Decision Makers and Key Stakeholders at Seenit
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Chief Product Officer & Director | Director | Finance | ||||
| Snr Cloud Engineer | Manager | IT |
Apps Being Evaluated by Seenit Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||