Omnisient
Omnisient is a privacy-preserving data collaboration platform that enables banks, insurers, and consumer brands to analyze consumer data together without sharing raw data, using patented Crypto-ID tokenization and embedded AI tools for alternative credit scoring, fraud reduction, and first-party data monetization.
- Company typePrivate
- Founded2019
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Omnisient does
Omnisient is a privacy-preserving data collaboration platform founded in 2019 in South Africa and now headquartered in the United Kingdom. It enables financial institutions (banks, insurers, credit bureaus) and consumer brands (retailers, telcos, FMCG, health and wellness) to derive insights from combined consumer datasets without ever exchanging raw personal data, addressing the regulatory and trust barriers to alternative-data analytics under POPIA, GDPR, CCPA, and other privacy regimes.
The platform is built around US-patented Crypto-ID technology that replaces PII with tokenized hashes, enabling anonymized cross-dataset matching. It incorporates Privacy Enhancing Technologies (PETs), a secure collaboration environment, and embedded analytics tools including Azure Machine Learning, Jupyter, Power BI, and SQLPad. Product modules include "Alternative Data for Financial Services" (credit scoring of unbanked and thin-file consumers, fraud reduction, customer acquisition) and "Data Monetization for Consumer Brands" (revenue from first-party data, media network monetization, precision targeting via SKU-level signals). Outputs are delivered through a direct enterprise sales motion and a channel partnership with TransUnion.
The business operates on annual enterprise subscriptions with quote-based pricing, protecting 500M+ consumer records across 100+ enterprises and reporting a 3-month average time to value. Cumulative equity raised is approximately $25.4M, with TransUnion leading the $12.5M Series A in November 2025 and taking a board seat as part of a broader strategic partnership announced in June 2025. The company also holds ISO 27001 certification and has been recognized as a World Economic Forum Technology Pioneer and a Bloomberg African Startup to Watch.
Omnisient firmographics
Firmographics- Name
- Omnisient
- Legal name
- Omnisient RF (Pty) Ltd
- Website
- https://omnisient.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Omnisient is a privacy-preserving data collaboration platform that enables banks, insurers, and consumer brands to analyze consumer data together without sharing raw data, using patented Crypto-ID tokenization and embedded AI tools for alternative credit scoring, fraud reduction, and first-party data monetization.
- Ownership category
- akta.pro rank
Omnisient industry classification
Industry- Product category
- Privacy-Preserving Data Collaboration Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Consumer Credit Reporting, Collection Agencies (7320)
- akta.pro primary industry
- BNPL Underwriting & Credit Decisioning Platforms (FSAGAIAD)
Keywords
Where Omnisient is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices4 records
Markets served
Omnisient business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Data Monetization for Consumer Brands: Consumer brands (retailers, telcos, FMCG, health & wellness) generate new revenue by securely sharing anonymized consumer behavioral data with financial institutions through the platform. Brands maximize value from their first-party data without compromising consumer privacy or their own IP.
- Alternative Data Access for Financial Services: Banks, insurers, and bureaus pay to access curated alternative data sources from trusted consumer brands. Revenue derived from subscription or usage-based access to the platform and its data collaboration capabilities for credit scoring, risk assessment, and customer acquisition.
- Platform Subscription and Licensing: Organizations pay for access to the secure data collaboration environment, built-in analytics tools, and AI capabilities. The platform handles data discovery, finding appropriate data partners, and maximizing value through innovative use cases.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise subscription for large organizations requiring full platform access |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels6 records
Omnisient product offering
Product offeringCore offering
Omnisient sells a privacy-preserving data collaboration platform that allows banks, insurers, and consumer brands to jointly analyze consumer data without ever exchanging raw personal information. The platform uses US-patented Crypto-ID tokenization to anonymize records, hosts secure data clean rooms, and embeds AI/analytics tooling so financial institutions can build alternative credit scoring models and consumer brands can monetize first-party data assets.
Product overview
Omnisient is a privacy-preserving data collaboration platform that enables organizations to generate new revenue, improve marketing performance, and manage risk by analyzing consumer data together without ever sharing it. The core product is the Privacy-Preserving Data Collaboration Platform, which incorporates Privacy Enhancing Technologies (PETs), a secure collaboration environment, and embedded AI and analytics tools. The platform is offered through two primary modules: Alternative Data for Financial Services (enabling banks, insurers, and bureaus to access alternative data for credit scoring and fraud prevention) and Data Monetization for Consumer Brands (enabling retailers, telcos, and FMCG companies to monetize first-party data). A sub-product, Signal in Every SKU, provides precision targeting using SKU-level behavioral data. The platform protects over 500 million consumer records across more than 100 enterprise organizations.
Differentiator
Problem solved
Functional benefit
Products and services
- Privacy-Preserving Data Collaboration Platform Core platform combining US-patented Crypto-ID tokenization, privacy-enhancing data clean rooms, and embedded AI and analytics tools (Azure Machine Learning, Jupyter, Power BI, SQLPad) to enable organizations across financial services and consumer brands to analyze consumer data together without sharing raw personal information. Achieves regulatory compliance out of the box and eliminates data breach risk.
- Alternative Data for Financial Services Module enabling banks, insurers, and credit bureaus to access high-value alternative data sources curated from trusted consumer brands (retailers, telcos, FMCG, health and wellness) within an ISO 27001-certified environment. Used for credit scoring of unscorable consumers, fraud prevention, and customer acquisition.
- Data Monetization for Consumer Brands Module helping consumer-facing brands in retail, telco, FMCG, and healthcare generate new revenue from first-party data by collaborating securely with financial institutions and other industries within an independent, privacy-safe environment. Enables data monetization and deeper customer insights without compromising consumer privacy or commercial IP.
- Signal in Every SKU Precision targeting capability using SKU-level data to identify audiences most likely to respond, convert, and create value for advertisers and financial services providers.
Quantifiable outcome
- 8+ million previously unscorable consumers assessed using alternative data
- +5 more outcomes
Companies that use Omnisient
Customer profileNamed customers4 records
Segments2 records
Ideal customer profiles2 records
Omnisient technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability8 records
Feature4 records
Omnisient partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Altron HealthTechcoreOmnisient and Altron HealthTech partnered to deliver anonymized patient insights to insurers, government bodies, medical researchers, and other stakeholders. The partnership leverages Altron HealthTech's 100M+ annual medical transactions to enhance patient and population health outcomes while protecting privacy. Applications include minimizing insurance risks, gaining insights into medication efficacy, and optimizing healthcare facility locations.
Scale indicators12 records
Recent moves9 records
Expansion highlights7 records
Omnisient competitors and assessment
Company assessmentEmerging players
- TripleBlind: Privacy-preserving ML and data collaboration platform. Addresses similar use cases in regulated industries where raw data cannot be shared, partially overlapping with Omnisient's clean room value proposition.
- Duality Technologies: Privacy-enhancing computation platform using secure multiparty computation for collaborative analytics. Comparable technology stack to Omnisient's PET approach, focused on regulated industries including financial services and healthcare.
Direct peers
- Habu: Data clean room software for privacy-safe collaboration across first-party datasets, with deep adoption among retailers, CPG brands, and media companies. Competes directly with Omnisient in the consumer-brand data collaboration category.
- LiveRamp: Data collaboration platform offering clean rooms and identity resolution for brands, agencies, and platforms. Comparable in serving both consumer brands and financial services with privacy-preserving data connectivity.
- Decentriq: Privacy-enhancing data clean room provider using confidential computing for secure multi-party computation. Directly comparable to Omnisient on the PET/clean-room architecture serving regulated industries.
- InfoSum: Privacy-preserving data collaboration platform enabling federated matching and clean-room analytics without moving raw data. Closest direct competitor to Omnisient's Crypto-ID-enabled approach, serving financial services and consumer brands.
Regional players
- Datavant: Healthcare-focused data collaboration and de-identification platform connecting providers, payers, and researchers. Directly comparable to Omnisient's Altron HealthTech vertical expansion strategy and healthcare data privacy workflow.
Broad incumbents
- Google Cloud Data Clean Rooms: Hyperscaler-provided clean room offering leveraging Google's analytics and identity infrastructure. Competes in the same privacy-preserving analytics category but as part of a much broader cloud ecosystem.
- Snowflake Data Clean Rooms: Cloud data platform offering integrated data clean room capabilities bundled with its data warehouse. Represents the hyperscaler competitive threat—broader portfolio but less specialization in privacy-first cross-organizational collaboration.
- AWS Clean Rooms: Amazon's data clean room service for secure multi-party data collaboration. Overlaps with Omnisient's use cases (advertising, financial services analytics) but bundled into AWS's broader cloud data stack.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights7 records
Customer concentration
Omnisient social profiles
Digital presenceOmnisient compliance and trust
Trust signalCompliance9 records
Omnisient financial estimates
Financial estimateRevenue estimate
Valuation estimate
Omnisient leadership team
Management profileNumber of profiles
Profiles9 records
Omnisient funding detail
Funding detailFunding overview
Funding rounds5 records
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Omnisient M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Omnisient
What does Omnisient do?
Omnisient sells a privacy-preserving data collaboration platform that allows banks, insurers, and consumer brands to jointly analyze consumer data without ever exchanging raw personal information. The platform uses US-patented Crypto-ID tokenization to anonymize records, hosts secure data clean rooms, and embeds AI/analytics tooling so financial institutions can build alternative credit scoring models and consumer brands can monetize first-party data assets.
Is Omnisient a public or private company?
Omnisient is a private company. It is classified as venture growth investor backed and is currently operating.
When was Omnisient founded?
Omnisient was founded in 2019. It employs 11 to 50 people.
Where is Omnisient based?
Omnisient is headquartered in London, United Kingdom, in the Europe region.
How does Omnisient make money?
Three revenue lines are on record. Data Monetization for Consumer Brands are the primary driver. The others are alternative Data Access for Financial Services and platform Subscription and Licensing.
Who are Omnisient's main competitors?
Emerging players on record are TripleBlind and Duality Technologies. Direct peers are Habu, LiveRamp, Decentriq and InfoSum. Datavant is listed as a regional player. Broad incumbents are Google Cloud Data Clean Rooms, Snowflake Data Clean Rooms and AWS Clean Rooms.
Does Omnisient have an API?
No public API is recorded for Omnisient.
What industry is Omnisient in?
Omnisient's product category is Privacy-Preserving Data Collaboration Software. Its primary akta.pro industry code is FSAGAIAD, BNPL Underwriting & Credit Decisioning Platforms. Its NAICS code is 518210 and its SIC code is 7370.