Tale of Data
Tale of Data is an AI-powered, no-code data quality and ETL platform helping enterprises build trusted, AI-ready data pipelines without coding. Founded in 2014 in Paris, it serves Banking, Retail, Manufacturing, and Public Sector clients with automated quality controls, lineage, and certified data products.
- Company typePrivate
- Founded2014
- HeadquartersParis, France
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Tale of Data does
Tale of Data SAS is a Paris-based software publisher founded in 2014 by Jean-Christophe Bouramoué, currently led by CEO Robbie Jameson, that provides an AI-powered, no-code Data Quality and ETL platform. The platform combines visual pipeline design, automated data quality controls (anomaly detection, deduplication, remediation), data lineage, collaborative workspaces, and certified data product outputs into a single governed workflow, allowing business, IT, and data teams to build trusted data pipelines in approximately one day of training without writing code. Underlying technical components include a proprietary visual pipeline designer, fuzzy and phonetic deduplication, generative-AI-powered natural-language rule creation (referencing OpenAI), and continuous data quality monitoring with drift tracking. The product is delivered as SaaS with optional on-premise deployment for Enterprise tiers, with hosted-in-France data residency and broad native connectivity to cloud data warehouses, databases, CRMs, and SaaS APIs, plus a Denodo partnership for data virtualization integration.
Tale of Data targets Banking & Insurance, Commerce & Retail, Manufacturing & Industry, and Public Sector as primary verticals with Pharma & Life Sciences as a secondary vertical, and serves customers including BNP Paribas, TotalEnergies, Société Générale, Manutan, Samsung, the French Ministry of the Interior, France Travail, BPI France, Region Île de France, Grand Nancy, Banque BIA, and AFP. Its revenue model is built on tiered SaaS subscriptions (Discovery, Enterprise, Enterprise Plus, HyperScale) priced per plan independent of data volume, complemented by professional services (onboarding, deployment, paid training) and a 30-day free trial. Go-to-market is hybrid: direct enterprise field sales supported by inside sales, a free product-led growth trial, a self-service Flash Audit and ROI Calculator for demand generation, a partner program for resellers/VARs, the Denodo ecosystem channel, and an active event presence within the French Tech Grand Paris pavilion. The company is privately held and founder-owned with no disclosed external funding.
Tale of Data firmographics
Firmographics- Name
- Tale of Data
- Legal name
- Tale of Data, SAS
- Website
- https://taleofdata.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Tale of Data is an AI-powered, no-code data quality and ETL platform helping enterprises build trusted, AI-ready data pipelines without coding. Founded in 2014 in Paris, it serves Banking, Retail, Manufacturing, and Public Sector clients with automated quality controls, lineage, and certified data products.
- Ownership category
- akta.pro rank
Tale of Data industry classification
Industry- Product category
- Data Quality and ETL Software
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Quality, Profiling & Validation (within Integration) (HDAEACAI)
- akta.pro secondary industry
- Data Strategy & Governance Services (BPAEAHAA)
Keywords
Where Tale of Data is headquartered
LocationHeadquarters
- HQ city
- Paris
- HQ country
- France
- HQ region
- Europe
Offices1 record
Markets served
Tale of Data business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Subscription (Platform Licenses): Tale of Data generates revenue primarily through tiered SaaS subscription plans (Free Trial, Discovery, Enterprise, Enterprise Plus, HyperScale) priced on a per-plan basis with fixed feature sets independent of data volume processed. Billing is monthly (for Discovery) with annual and multi-year options implied by tier descriptions. The company describes pricing as 'fixed price, independent of data volume processed'.
- Professional Services & Training: Tale of Data offers professional services including customer onboarding, deployment assistance, training (both free one-day onboarding sessions and paid training for new users), and solution consulting missions. Training new users is listed as a paid service offering.
- Freemium / Free Trial: A 30-day free trial with unlimited flows and collaborative spaces is provided to drive adoption and conversion to paid tiers. The free trial includes a complimentary 30-minute onboarding session with an expert.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free 30-day trial for individual users to explore the platform |
| Subscription | Monthly | Entry-level plan for growing teams |
| Subscription | Annual | Mid-to-large enterprise plan with dedicated infrastructure |
| Subscription | Annual | Large enterprise plan with extensive user capacity and infrastructure dedicated |
| Subscription | Annual | Maximum scale plan with distributed computing architecture |
Go-to-market motion4 records
Distribution channels5 records
Marketing channels17 records
Tale of Data product offering
Product offeringCore offering
Tale of Data sells an AI-powered, no-code SaaS data quality and ETL platform that enables business, IT, and data teams to connect, transform, clean, validate, deduplicate, monitor, and certify enterprise data without writing code. Revenue is generated primarily through tiered SaaS subscriptions (Discovery, Enterprise, Enterprise Plus, HyperScale) priced independently of data volume, supplemented by paid professional services and training, with a free 30-day trial and free self-service tools (Flash Audit, ROI Calculator) used for demand generation.
Product overview
Tale of Data is an AI-powered No-Code Data Quality Platform that combines ETL, data transformation, quality controls, lineage, and monitoring in one governed workflow. The platform operates as a unified SaaS solution with multiple integrated modules: Data Pipeline Visual Designer (core ETL builder), Data Scanning (mass discovery), Data Quality Monitoring (continuous observability), Data Connectivity (50+ native connectors), Data Cleansing (automated remediation), Data Flow Traceability (lineage), Data Product Certification (governance), Collaborative Spaces (team workspaces), and Generative AI (AI-assisted automation). The platform also offers free tools including Flash Audit (instant quality assessment) and an ROI Calculator. Tale of Data targets enterprise data teams across banking, retail, manufacturing, and public sector, embedding data quality directly into the integration process to prepare AI-ready, trusted data products.
Differentiator
Problem solved
Functional benefit
Products and services
- Tale of Data Platform (No-Code Data Quality & ETL SaaS) Unified AI-powered, no-code SaaS platform that lets business, IT, and data teams connect, transform, clean, validate, deduplicate, monitor, certify, and trace enterprise data without writing code. Sold through tiered subscriptions (Discovery, Enterprise, Enterprise Plus, HyperScale) with SaaS and On-Premise deployment options for enterprises in banking, retail, manufacturing, and public sector.
- Flash Audit Free, self-service instant data quality assessment tool that evaluates data health across completeness, accuracy, consistency, uniqueness, and validity dimensions and produces a quality score plus structured anomaly report. Designed for data teams and prospects evaluating data quality issues, used as a top-of-funnel demand-generation asset.
- ROI Calculator Free online tool that estimates the financial cost of poor data quality and calculates the projected return on investment from implementing the Tale of Data Platform across six dimensions (pipeline speed, time saved, AI training time, fraud losses, training time to autonomy, deployment speed). Used as a self-service sales-assist asset for prospects and customers.
Quantifiable outcome
- Data pipeline creation is 25x faster than manual Python coding
- +6 more outcomes
Companies that use Tale of Data
Customer profileNamed customers17 records
Segments5 records
Ideal customer profiles4 records
Tale of Data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration23 records
AI capability6 records
Feature13 records
Tale of Data partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- DenodoflagshipTale of Data and Denodo signed a partnership in November 2023 to offer companies an integrated approach combining data virtualization and data quality governance. The partnership involves the launch of a connector enabling business users to access Tale of Data's data quality controls (remediation, deduplication, validation, monitoring) directly within Denodo's data virtualization platform — giving users direct, real-time access to trusted, quality-certified data regardless of volume, underlying technology, or storage location. TotalEnergies is cited as an example customer benefiting from this integration. Both companies describe this as delivering 'superior solutions' to customers with an 'integrated approach'. The partnership was announced in November 2023 and was publicly communicated via press release in both English and French. Tale of Data's CEO Jean-Christophe Bouramoué and Denodo's EMEA Director of Product Management Vincent Fages-Gouyou are quoted on the strategic value.
Scale indicators9 records
Recent moves6 records
Expansion highlights6 records
Tale of Data competitors and assessment
Company assessmentBroad incumbents
- Precisely: Provider of data integrity, integration, and quality solutions including ETL, data quality, and master data management. Directly comparable product surface to Tale of Data, but Precisely is a much larger, broader enterprise vendor.
- Informatica: Enterprise leader in data integration, quality, and governance with a broad, mature platform. Comparable because it directly addresses ETL, data quality, profiling, and master data management at enterprise scale, but as a much larger, broader suite than Tale of Data's focused no-code offering.
- Collibra: Enterprise data intelligence and governance platform covering data catalog, quality, and lineage. Comparable overlap on governance and lineage, but Collibra is broader (catalog-first) and operates at much larger scale than Tale of Data.
- Alation: Data catalog and intelligence platform with growing data quality and governance capabilities. Adjacent rather than direct — overlaps on governance and lineage, less so on Tale of Data's core ETL/quality execution engine.
Direct peers
- Ataccama: AI-powered data quality and master data management platform with no-code rule authoring and automated profiling. Closely comparable to Tale of Data in target use cases (data quality, deduplication, monitoring) and no-code philosophy.
- Talend (Qlik): Direct competitor providing data integration, quality, and ETL tools with a visual pipeline builder. Highly comparable in product category and target buyer, though Talend historically targets more developer-centric users vs. Tale of Data's no-code, business-user positioning.
Emerging players
- Soda: Open-core data quality and observability tool with declarative checks and monitoring. Comparable as a modern, developer-friendly data quality alternative; overlapping target market of data engineering teams, though more developer-centric than Tale of Data's no-code stance.
- Great Expectations: Open-source data quality framework for validation, profiling, and documentation. Comparable as a data quality alternative, primarily serving data engineering teams with code-based rather than no-code approach.
- Dataiku: Enterprise AI and data preparation platform with visual pipelines and quality controls. Comparable on visual data preparation and quality tooling, but Dataiku is broader (ML/AI platform) and significantly larger.
- Monte Carlo: Data observability and quality monitoring platform focused on anomaly detection and pipeline reliability. Comparable in the data quality monitoring and AI-driven anomaly detection capabilities, with a modern, cloud-native architecture.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Tale of Data social profiles
Digital presenceTale of Data compliance and trust
Trust signalCompliance1 record
Tale of Data financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tale of Data leadership team
Management profileNumber of profiles
Profiles3 records
Tale of Data funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tale of Data 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 Tale of Data
What does Tale of Data do?
Tale of Data sells an AI-powered, no-code SaaS data quality and ETL platform that enables business, IT, and data teams to connect, transform, clean, validate, deduplicate, monitor, and certify enterprise data without writing code. Revenue is generated primarily through tiered SaaS subscriptions (Discovery, Enterprise, Enterprise Plus, HyperScale) priced independently of data volume, supplemented by paid professional services and training, with a free 30-day trial and free self-service tools (Flash Audit, ROI Calculator) used for demand generation.
Is Tale of Data a public or private company?
Tale of Data is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Tale of Data founded?
Tale of Data was founded in 2014. It employs 1 to 10 people.
Where is Tale of Data based?
Tale of Data is headquartered in Paris, France, in the Europe region.
How does Tale of Data make money?
Three revenue lines are on record. SaaS Subscription (Platform Licenses) is the primary driver. The others are professional Services & Training and freemium / Free Trial.
Who are Tale of Data's main competitors?
Broad incumbents on record are Precisely, Informatica, Collibra and Alation. Direct peers are Ataccama and Talend (Qlik). Emerging players are Soda, Great Expectations, Dataiku and Monte Carlo.
Does Tale of Data have an API?
No public API is recorded for Tale of Data.
What industry is Tale of Data in?
Tale of Data's product category is Data Quality and ETL Software. Its primary akta.pro industry code is HDAEACAI, Data Quality, Profiling & Validation (within Integration), with a secondary code of BPAEAHAA, Data Strategy & Governance Services. Its NAICS code is 513210 and its SIC code is 7372.