List of Clearspeed Customers
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Since 2010, our global team of researchers has been studying Clearspeed customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Clearspeed for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Clearspeed for Analytics and BI include: Citibank, a United States based Banking and Financial Services organisation with 226000 employees and revenues of $81.09 billion, Goldman Sachs, a United States based Banking and Financial Services organisation with 48300 employees and revenues of $53.51 billion, US Special Operations Command, a United States based Government organisation with 70000 employees and revenues of $9.70 billion, Seguros El Roble, a Guatemala based Insurance organisation with 900 employees and revenues of $300.0 million, Uganda Wildlife Authority, a Uganda based Professional Services organisation with 500 employees and revenues of $100.0 million and many others.
Contact us if you need a completed and verified list of companies using Clearspeed, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Clearspeed customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Citibank | Banking and Financial Services | 226000 | $81.1B | United States | Clearspeed | Clearspeed | Analytics and BI | 2015 | n/a |
In 2015, Citibank implemented Clearspeed as an enterprise Analytics and BI capability to support high-precision entity analytics and name resolution across corporate client datasets. The Clearspeed deployment at Citibank was positioned to centralize identity matching and analytics workflows used by financial crime screening, risk and compliance functions.
The implementation focused on core Analytics and BI functional workflows, including data ingestion and normalization, deterministic and probabilistic entity resolution, configurable matching and scoring logic, and operational reporting and dashboarding for case review. Clearspeed was configured to operate in both batch profiling and real-time API scoring modes, enabling integration into onboarding and screening pipelines and producing standardized analytics outputs for downstream case management systems.
Clearspeed maintained strategic alliances with Deloitte and a cloud partner relationship with AWS, and it created regional partnerships with Allied Universal Inc., Protiviti, and Verisk to support commercial deployments and integration pathways. The vendor opened North America, Latin America, Europe, and Asian commercial markets, aligning the Clearspeed solution with Citibank’s global risk and compliance coverage and enabling centralized analytics governance across distributed operating regions.
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Goldman Sachs | Banking and Financial Services | 48300 | $53.5B | United States | Clearspeed | Clearspeed | Analytics and BI | 2015 | n/a |
In 2015, Goldman Sachs implemented Clearspeed, deploying Clearspeed as an enterprise Analytics and BI capability to support analytics workflows across client and transaction datasets. The deployment positioned Clearspeed to provide data profiling, entity resolution, analytical reporting, and scoring functions to support front-office and control functions.
The implementation emphasized a centralized data ingestion layer feeding a BI and analytics tier, with Clearspeed configured for data quality management, dashboarding, risk scoring workflows, and automated regulatory and client due diligence reports. Functional modules included data ingestion and normalization, analytics visualization, scoring engines, and scheduled reporting to operational teams.
Integrations and commercial partnerships underpinned the rollout, with Clearspeed’s strategic partnership with Deloitte and alliance activity with AWS, Allied Universal Inc., Protiviti, and Verisk enabling regional commercial coverage across North America, Latin America, Europe, and Asia. Governance focused on embedding analytical outputs into risk, compliance, and client onboarding processes, with phased regional rollouts and consultancy-led implementation support to operationalize analytics into business workflows.
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Seguros El Roble | Insurance | 900 | $300M | Guatemala | Clearspeed | Clearspeed | Analytics and BI | 2022 | n/a |
In 2022, Seguros El Roble implemented Clearspeed voice analytics to augment claims screening and fraud detection. Clearspeed was deployed as an Analytics and BI capability to generate voice based risk scores that feed the insurer's claims review workflow.
The implementation used Clearspeed's automated phone questionnaire module with brief yes or no questions, supporting any language, and assigned responses a low to high risk level. Configuration prioritized delivering Clearspeed outputs as an additional structured data source into existing claim decision workflows rather than requiring technical integration, enabling process level orchestration with the insurer's existing FRISS scoring. The project moved from start to full implementation in two months.
Operationally, Clearspeed was combined with FRISS so that FRISS provided initial objective rule based scoring and the claims analysis team used Clearspeed to vet cases flagged as higher risk. The deployment covered claims operations and special investigation unit workflows for Seguros El Roble in Guatemala, enabling straight through processing for low and average risk claimants and focused SIU follow up for high risk cases. There was no technical integration required with other tools, the change resided in routing and decision logic.
Governance relied on coupling FRISS deterministic alerts with Clearspeed unbiased voice analysis to triage investigative effort and update claims approval gates. Outcomes reported in the implementation include combined Clearspeed with FRISS to pinpoint claims fraud, enabled STP for low risk claims, focused follow up on high risk claims, optimized overall claim close time, an average savings of approximately $400 per claim, up to 30 times faster claim payout, and a reported 31X ROI. Clearspeed is described as the Clearspeed application providing voice analytics signals into Seguros El Roble claims adjudication.
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Uganda Wildlife Authority | Professional Services | 500 | $100M | Uganda | Clearspeed | Clearspeed | Analytics and BI | 2020 | n/a |
In 2020, Uganda Wildlife Authority implemented Clearspeed Verbal to screen rangers and ranger recruits for potential involvement in illegal wildlife poaching. The deployment used Clearspeed, classified under Analytics and BI, to provide voice based risk screening across two remote field locations in Uganda where biodiversity and poaching pressure are significant. The program targeted more than 600 personnel, and field screening was executed in a three day window with final results delivered within 72 hours.
The implementation centered on Clearspeed Verbal and its Remote Risk Assessment RRA technology, combining validated voice analytics, proprietary processing, and large volumes of real world voice data to generate per question and overall risk scores. Screening was conducted via a brief automated phone questionnaire of yes or no questions, with language flexibility, and questions such as Do you personally know anyone involved in the illegal hunting or killing of protected wildlife used to elicit vocal responses for analysis. The solution produced low to high risk level assignments which served as structured signals for subsequent vetting.
Clearspeed personnel were onsite in Uganda for eight days, administering 120 rangers at one remote location and 490 ranger recruits at a second location. Questionnaires were completed using three phones at the ranger site, four phones plus a fifth station using Skype on a 3G mobile phone at the recruit site, and collected voice data was uploaded at the end of each day to Clearspeed data centers for AI powered analysis. The deployment architecture was designed to tolerate field noise and limited connectivity while maintaining centralized analysis in Clearspeed infrastructure.
Operational governance included a preliminary briefing for all participants in which Clearspeed staff explained the questionnaire format and read questions aloud to reduce failed or incomplete responses, and daily briefings with Uganda Wildlife Authority and Rhino Fund Uganda representatives. Clearspeed Verbal outputs were consumed as an additional data source within the organizations ongoing insider threat and vetting processes, enabling low and average risk profiles to be cleared more rapidly unless other indicators existed, while high risk profiles were flagged for targeted follow up based on role and question level risk.
All questionnaire analyses were completed and delivered to UWA and RFU within 72 hours, with each individual provided a complete profile including per question risk ratings, an overall risk rating, and sorting into risk tiers. Clearspeed also trained client staff on accessing and interpreting the summary data, enabling Uganda Wildlife Authority and Rhino Fund Uganda to prioritize investigative resources toward flagged individuals.
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US Special Operations Command | Government | 70000 | $9.7B | United States | Clearspeed | Clearspeed | Analytics and BI | 2020 | n/a |
In 2020 United States Special Operations Command deployed Clearspeed Verbal as an Analytics and BI capability to screen commando recruits in Afghanistan, addressing insider threat risk while expanding local force capacity. The Clearspeed deployment was intended to provide a rapid, AI-powered voice analytics source of risk data to augment SOCOM counterintelligence screening workflows.
Clearspeed Verbal used Clearspeed Remote Risk Assessment RRA technology to deliver validated voice analytics and automated risk scoring. The implementation centered on a brief, automated phone questionnaire of yes or no questions administered in local languages, with responses analyzed to produce a low to high risk rating. The questionnaire content and RRA scoring were applied as a functional module for rapid adjudication and to prioritize follow-up investigative workflows.
The vendor team established a prebuilt, modular screening center in-country and worked alongside SOCOM field teams for 12 days to operationalize the solution. The facility contained nine interview rooms and a control room, and questionnaires were conducted in tandem with established bio-enrollment procedures that collected personal biographical data, DNA swabs, photographs, iris scans, fingerprinting, and cellphone SIM card extracts. Data were uploaded to Clearspeed data centers for AI-powered analysis, linguists supported Dari and Pashto interviews, and the team screened 715 recruits in 20 hours.
Operational governance integrated Clearspeed outputs as an additional data source within SOCOM vetting, enabling low and average risk profiles to be cleared more quickly unless other indicators existed, and directing scarce investigative resources toward high risk flags. Daily informal briefings were provided to SOCOM staff, and flagged high risk cases were routed for follow-up or further adjudication according to existing counterintelligence protocols.
The Clearspeed implementation produced explicit, measurable findings during the engagement including identification of 100 percent of candidates previously flagged by SOCOM analytics, eight additional candidates confirmed as high risk, three candidates who went absent without leave after being flagged, an accuracy rate greater than 95 percent, 2.38 percent false positives, and no false negatives. Clearspeed continues to be prepared for additional security screenings in Afghanistan, including screening of private security guards.
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Buyer Intent: Companies Evaluating Clearspeed
- Canadian Imperial Bank of Commerce (CIBC), a Canada based Banking and Financial Services organization with 49824 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
| Canadian Imperial Bank of Commerce (CIBC) | Banking and Financial Services | 49824 | $21.3B | Canada | 2025-01-28 |