OMMA DATA

Data Quality Softwareommadata.ai

OMMA DATA (Aqtiva Data Technologies S.L.) is a Barcelona-based SaaS platform that uses Big Data, ML, and LLMs to validate and remediate data quality in real time for multinational enterprises. Named customers include PepsiCo, Randstad, Parques Reunidos, Vocento, and Zurich-Santander Seguros.

Company typePrivate
Founded2021
HeadquartersBarcelona, Spain
Headcount1–10
GTM typeB2B
OfferingSoftware

What OMMA DATA does

OMMA DATA (legal entity Aqtiva Data Technologies S.L.) is a Barcelona-based data reliability and observability platform founded in 2021. The platform observes, analyzes, and remediates structured and unstructured data in real time at ingestion, separating good data from bad, quarantining non-compliant records, and surfacing quality issues through custom dashboards and alerts. It is built on Big Data, Machine Learning, and generative AI (LLMs), with a GPT-4O/GPT-3.5 Turbo-powered intelligent agent architecture that enables no-code, natural-language rule creation, SQL-to-rule conversion, and an AI rule recommender; an OMMA Consultant Assistant Custom GPT extends guidance through ChatGPT Plus. The product is offered as a usage-based cloud or on-premise SaaS with pricing ranging from €800 to €7,500 per month, integrates with Google Cloud, Microsoft Azure, and AWS, and is sold through direct enterprise sales plus a three-tier channel partner program (Prescriptor, Socio, Integrador).

OMMA targets multinational enterprise customers with high-volume, real-time data quality needs across financial, HR, customer, and operational data. Named customers include Parques Reunidos, Randstad, Vocento, Zurich-Santander Seguros, PepsiCo, and VASS, with use cases spanning CRM/ERP data quality, sales data reliability, and decision-support data validation. The company has nine employees including co-founders Juan Ramón González (CTO) and Marc Serra (CFO), both previously of Mática Partners. Operating geographies are Spain and Latin America (Colombia, Mexico), and the founders are actively seeking a partner to enter the US market. The business has been funded primarily through Spanish public innovation grants (two CDTI grants totaling ~€800K including co-founder resources) rather than venture capital, and reported €90K in 2023 revenue with a projected €110K for 2024 (approximately 20% growth).

OMMA DATA firmographics

Firmographics

Name: OMMA DATA
Legal name: Aqtiva Data Technologies S.L.
Website: https://ommadata.ai
Company type: Private
Founded year: 2021
Operating status: Operating
Headcount range: 1–10 employees
Short description: OMMA DATA (Aqtiva Data Technologies S.L.) is a Barcelona-based SaaS platform that uses Big Data, ML, and LLMs to validate and remediate data quality in real time for multinational enterprises. Named customers include PepsiCo, Randstad, Parques Reunidos, Vocento, and Zurich-Santander Seguros.
Ownership category
akta.pro rank

OMMA DATA industry classification

Industry

Product category: Data Quality Software
NAICS: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151)
SIC: Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro industry: PRIMARYHDAEABAK
Data Observability & Warehouse Monitoring
Hardware, Technology & Telecom/Enterprise Platforms & Databases/Data Warehousing, Lakehouse & Data Platforms
SECONDARYHDAEACAI
Data Quality, Profiling & Validation (within Integration)
Hardware, Technology & Telecom/Enterprise Platforms & Databases/Data Integration, ETL/ELT & Middleware

Keywords

Data quality platform
Data reliability software
Data observability
Real-time data validation
AI data governance

Where OMMA DATA is headquartered

Location

Headquarters

HQ city: Barcelona
HQ country: Spain
HQ region: Europe

Offices2 records

Markets served

OMMA DATA business model

Business model

GTM type: B2B
Offering type: Software
Cost components: Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

Software Licensing (SaaS/PaaS): OMMA operates as a pay-per-use (pago por uso) cloud-based data quality platform. Licensing fees are based on the volumes of data processed through the platform each month. Premium service included without additional limitations.

Pricing tiers

Model	Billing	Price
Usage-based	Monthly	Entry-level package starting at €800/month
Usage-based	Monthly	Mid-tier package up to €7,500/month

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

OMMA DATA product offering

Product offering

Core offering

OMMA is a real-time Data Reliability platform that observes, analyzes, and remediates data quality (structured and unstructured) without requiring code, using Big Data, Machine Learning, and generative AI. It validates data at ingestion, applies quality rules in one click, quarantines non-compliant entries, and delivers clean data into Data Lakes and downstream systems. The product is sold as a pay-per-use SaaS with cloud and on-premise deployment options, integrated with Google Cloud, Azure, AWS, and legacy systems via API.

Product overview

OMMA DATA (Aqtiva Data Technologies S.L.) offers a unified Data Reliability platform centered on the OMMA product, which observes, analyzes, and remediates data quality in real time without requiring code. The platform is built on Big Data, Machine Learning, and generative AI (LLM) technologies. It is offered as a pay-as-you-go SaaS solution. An add-on module, the OMMA Consultant Assistant (powered by ChatGPT), provides conversational guidance for onboarding and rule creation, accessible via ChatGPT Plus as a Custom GPT. The platform integrates with Google Cloud, Azure, and AWS, and processes both structured and unstructured data.

Differentiator

Problem solved

Functional benefit

Products and services

OMMA OMMA is a Data Reliability platform that validates data quality (structured and unstructured) in real time and without interrupting processes, using Big Data, Machine Learning, and generative AI to observe, analyze, and remediate data from the moment of ingestion. It is targeted at enterprise customers (e.g., Parques Reunidos, Randstad, Vocento, Zurich-Santander Seguros, PepsiCo) needing reliable data for decision-making.

Quantifiable outcome

Improves data quality by more than 85%
+3 more outcomes

Companies that use OMMA DATA

Customer profile

Named customers5 records

Segments2 records

Ideal customer profiles2 records

OMMA DATA technology and API

Technology

Technology focussed Yes

API detail

Has API: Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability9 records

Feature8 records

OMMA DATA partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

Parques ReunidosminorImplementation/ SI/ Consulting PartnerEnterprise customer and case study partner. Provided public testimonial on implementation: 'A non-invasive Data Quality solution based on Machine Learning, Big Data and predictive analysis.' S. Vallejo, Business Data Director at Parques Reunidos, serves as a reference customer.

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

OMMA DATA competitors and assessment

Company assessment

Broad incumbents

Alation: Data catalog and governance platform with data quality features. Comparable as a data intelligence platform serving enterprise customers with data reliability needs.
Precisely: Data integrity and data quality software provider. Established incumbent in the data quality category serving regulated enterprises with similar data reliability use cases.
Talend (Qlik): Established data integration and data quality platform now part of Qlik. Provides broader data management capabilities overlapping with OMMA's data quality and validation features.
Collibra: Enterprise data intelligence and governance platform with data quality and observability capabilities. Broad incumbent in the data management category that overlaps with OMMA's positioning.
Informatica: Large incumbent in data integration, data quality, and data governance. Represents the broader legacy alternative for enterprise data quality management that OMMA's no-code approach competes against.
Dataiku: Enterprise AI and data platform with data quality and governance features. Overlaps with OMMA's enterprise data reliability positioning for large multinational customers.

Direct peers

Soda Data: Data observability and data quality monitoring platform that detects, investigates, and resolves data issues. Direct competitor in the data observability category with similar enterprise focus.
Ataccama: Data quality and data governance platform with AI-driven data profiling and quality rules. Direct peer offering data observability and quality solutions to large enterprises.
Monte Carlo Data: Direct data observability competitor that focuses on data reliability, anomaly detection, and automated data quality monitoring for enterprises. Closely aligned with OMMA's core product offering and target customers.
Great Expectations: Open-source data quality framework for validating, documenting, and profiling data. Competes directly with OMMA's data quality and validation capabilities, particularly for engineering-led teams.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

OMMA DATA financial estimates

Financial estimate

Revenue estimate

Valuation estimate

OMMA DATA leadership team

Management profile

Number of profiles

Profiles4 records

OMMA DATA funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

OMMA DATA M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about OMMA DATA

What does OMMA DATA do?

Is OMMA DATA a public or private company?

OMMA DATA is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was OMMA DATA founded?

OMMA DATA was founded in 2021. It employs 1 to 10 people.

Where is OMMA DATA based?

OMMA DATA is headquartered in Barcelona, Spain, in the Europe region.

How does OMMA DATA make money?

One revenue line is on record: software Licensing (SaaS/PaaS).

Who are OMMA DATA's main competitors?

Broad incumbents on record are Alation, Precisely, Talend (Qlik), Collibra, Informatica and Dataiku. Direct peers are Soda Data, Ataccama, Monte Carlo Data and Great Expectations.

Does OMMA DATA have an API?

Yes. OMMA DATA is described as highly API-ified ("altamente apificada"), enabling it to connect to any internal or external data source and deliver data to legacy systems without requiring additional modifications. Specific API endpoints, authentication methods, rate limits, or a developer documentation URL were not found in the source material.

What industry is OMMA DATA in?

OMMA DATA's product category is Data Quality Software. Its primary akta.pro industry code is HDAEABAK, Data Observability & Warehouse Monitoring, with a secondary code of HDAEACAI, Data Quality, Profiling & Validation (within Integration). Its NAICS code is 5182 and its SIC code is 7372.