Menlo Park, 94025, CA,
United States
Clear Labs Technographics
Clear Labs Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Clear Labs and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 40 Clear Labs employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Clear Labs has purchased the following applications: Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2016, Google Workspace (Formerly Google G-Suite) for Collaboration in 2015, Twilio Segment for Customer Data Platform in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Clear Labs is running and its propensity to invest more and deepen its relationship with Google , Zoho Corp. , Twilio 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 Clear Labs revenues, which have grown to $10.0 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 Clear Labs 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.
Clear Labs Tech Stack and Enterprise Applications
Clear Labs 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 Clear Labs deployed Google Cloud Machine Learning Engine within its ML and Data Science Platforms to automate genomic analysis and accelerate pathogen detection workflows for enterprise food producers. The implementation targeted lab operations and data science teams, aligning machine learning model lifecycle activities with routine sample processing to move results into productionized inference.
The work centered on model training and pipeline orchestration, using Google Cloud Machine Learning Engine to train and serve models while formalizing preprocessing and variant-calling steps as repeatable pipeline stages. Configurations emphasized scalable training jobs and automated inference endpoints to shorten analysis latency and support continuous processing of sequencing data.
Clear Labs integrated Google Pipelines API to run reproducible bioinformatics workflows and used Google Compute Engine for elastic compute capacity, instrumenting Google Cloud Platform services to host and execute sequence analysis pipelines. Operational coverage focused on end-to-end sequence analysis from raw reads through model-driven interpretation, supporting enterprise food producer reporting workflows.
Governance emphasized workflow standardization and pipeline version control to preserve reproducibility and auditability for regulated testing, with controls implemented at the project and pipeline definition level. The architecture enabled Clear Labs to deliver pathogen test results in hours instead of days by leveraging Google Cloud Machine Learning Engine and complementary Google Cloud Platform services.
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Clear Labs Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2015 | 2015 |
In 2015, Clear Labs implemented Google Workspace (Formerly Google G-Suite) for Collaboration. The vendor-hosted SaaS deployment is referenced on the company website and was provisioned to support centralized cloud collaboration under the Clear Labs domain.
Google Workspace (Formerly Google G-Suite) was configured to deliver core Collaboration capabilities including Gmail, Calendar, Drive, Docs, Sheets, Slides, Meet, and Groups to support R&D, operations, and corporate administration across the organization in the United States. Administration and governance are handled through the Google Workspace Admin Console with standard user provisioning, group management, access controls, and document co-editing workflows to establish company-wide collaboration and communication processes.
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Collaboration | Collaboration |
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2021 | 2021 |
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Clear Labs CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Twilio | Legacy | Twilio Segment | Customer Data Platform | CRM | n/a | 2015 | 2015 |
In 2015 Clear Labs implemented Twilio Segment on their website. Twilio Segment is deployed as a Customer Data Platform to centralize client-side event capture via site instrumentation, using a lightweight JavaScript collector to record page views, form interactions and custom event streams for consolidated user and session context. For a 40 person professional services firm the architecture is web-first and lightweight, focused on marketing, product and analytics use cases rather than enterprise-scale backend orchestration.
The implementation emphasized schema-driven event tracking and client-side routing, with Twilio Segment configured to stitch user identities and maintain a central event stream for downstream consumption. Operational scope is limited to website channels, enabling centralized profile construction and standardized event taxonomy to support marketing, product analytics and reporting. Governance work included establishing an event naming convention and access controls for the Customer Data Platform, keeping implementation complexity proportionate to company size.
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Marketing Automation | CRM |
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2016 | 2016 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Clear Labs ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2019 | 2019 |
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Clear Labs 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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2021 | 2021 |
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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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Content Delivery Network | IaaS |
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2018 | 2018 |
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IT Decision Makers and Key Stakeholders at Clear Labs
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Head Of Engineering | Director | Finance | ||||
| Co-Founder and CCO | CXO | Finance |
Apps Being Evaluated by Clear Labs Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||