San Francisco, 94108, CA,
United States
Bigfinite Technographics
Bigfinite Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Bigfinite and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50 Bigfinite employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Bigfinite has purchased the following applications: Amazon SageMaker for ML and Data Science Platforms in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2014, Adobe Marketo for Marketing Automation in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Bigfinite is running and its propensity to invest more and deepen its relationship with Amazon Web Services (AWS) , Google , Adobe Systems 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 Bigfinite revenues, which have grown to $7.0 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 Bigfinite 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.
Bigfinite Tech Stack and Enterprise Applications
Bigfinite AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon SageMaker | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017, Bigfinite implemented Amazon SageMaker as part of its bigengine platform to support ML and Data Science Platforms workloads on pharmaceutical-manufacturing data. The deployment was positioned to enable real-time predictions and model hosting to address equipment maintenance, process optimization, anomaly detection, and product quality challenges.
The implementation exposed built-in solutions designer capabilities that allow Bigfinite customers to edit and configure packaged solutions or create new data science capabilities. Core functional capabilities include real-time model inference, model training orchestration, and support for proprietary algorithms developed in Python and Scala running on Spark clusters for advanced analytics.
Architecturally, Amazon SageMaker was integrated into a multi-service AWS stack. Data ingestion originates from laboratory information management systems and manufacturing equipment connected through AWS IoT, with raw data captured and stored in native formats in a controlled data lake on Amazon Simple Storage Service, Amazon S3. Serverless components such as AWS Lambda and AWS Step Functions coordinate distributed processing, Amazon Athena provides serverless query analysis, and Amazon Elastic MapReduce, running Apache Spark, handles big-data processing workloads that feed models in Amazon SageMaker.
Governance and operational scope focus on reproducible pipelines and controlled data management, with the S3 data lake and serverless orchestration providing the foundation for model lifecycle workflows. The solution produces real-time predictions and models that help predict cleaning or maintenance needs, identify imminent equipment failure, optimize processes to reduce cost and energy usage, and detect anomalies to improve final product quality, and customers can extend or configure these capabilities through the platform designer.
|
Bigfinite Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2014 | 2014 |
In 2014, Bigfinite implemented Google Workspace (Formerly Google G-Suite) as its Collaboration platform. The Google Workspace deployment provides Gmail, Calendar, Drive, Docs, and the Google Admin console capabilities to support internal collaboration across the professional services firm.
Deployment is a cloud hosted SaaS configuration accessed through web and mobile clients, with configuration emphasis on account provisioning, group email, shared drives, and real time document editing workflows typical for a 50 employee company. The implementation aligns with standard Collaboration category modules, including email routing and management, calendaring, shared storage and document collaboration, and administrative controls for user lifecycle and access management.
Operational coverage includes core business functions such as professional services delivery, operations, and IT administration, with governance and policy controls administered through the Google Admin console for user and access policies. Publicly visible site metadata and the company website indicate active use of Google Workspace (Formerly Google G-Suite) as part of Bigfinite's collaboration stack.
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Bigfinite CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Marketo | Marketing Automation | CRM | n/a | 2020 | 2020 |
In 2020, Bigfinite implemented Adobe Marketo as its Marketing Automation platform and instrumented it on the company website. The implementation is scoped to support inbound lead capture, nurture workflows, and digital campaign orchestration for the marketing function.
Adobe Marketo was configured to deliver typical Marketing Automation capabilities such as web form capture, landing page management, program based nurture sequences, email campaign orchestration, and behavioral tracking tied to contact records. Configuration work emphasized campaign templates, segmentation rules, and automated engagement programs to sustain demand generation activities.
Deployment architecture centers on Adobe Marketo embedded on the public website to capture session level behavior and trigger automated campaign flows, with client side tracking feeding Marketo contact profiles. Operational ownership is concentrated in marketing and demand generation, where Marketo is used for lead qualification, list segmentation, and campaign execution within the 50 person company structure.
Governance established campaign approval workflows, audience governance, and standardized nurture cadence to align marketing execution with sales handoff criteria. Bigfinite Adobe Marketo Marketing Automation supports marketing and demand generation business functions through centralized campaign orchestration and automated lead lifecycle management.
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Bigfinite ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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|
|
IT Service Management | ITSM |
|
2018 | 2018 |
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Bigfinite IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2017 | 2017 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Bigfinite
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Chief Data Scientist | CXO | IT | ||||
| CEO, CTO & Co-Founder | CXO | Finance |
Apps Being Evaluated by Bigfinite Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||