JTA

What JTA does

JTA The Data Scientists is a privately held, founder-owned data and AI consulting firm headquartered in Porto, Portugal, founded in 2000 by Jonathan Alves Tooley, a former Big Four chartered accountant. The company employs approximately 70 professionals across offices in Porto, London, Toronto, and Seattle, and serves enterprise clients globally with bespoke data engineering, analytics and visualization, and AI/machine learning engagements. Core service lines include Data Engineering (cloud data warehouses, data lakes, vector databases, data quality and governance), Data Analytics and Visualisation (Power BI implementations, dashboard development, embedded intelligence), and AI and Machine Learning (generative AI strategy, RAG architectures, LLM fine-tuning, GPU-powered infrastructure, and custom predictive modeling). All engagements are delivered through JTA's proprietary 6-step Data Science Delivery Framework, and the firm maintains core technology partnerships with Microsoft Azure OpenAI, Databricks, Pinecone, and Hugging Face.

JTA generates revenue exclusively through professional services engagements, with pricing negotiated on a per-client quote basis and no publicly disclosed rates. The go-to-market is relationship-driven enterprise consulting, led by a Chief Revenue Officer, targeting horizontal business units (Sales, Marketing, Operations, Finance, Market Research) within large organizations. The firm has no external institutional funding, no disclosed M&A activity, and operates as a bootstrapped consultancy. It holds ISO 27001 certification, is Great Place to Work certified (2025), and emphasizes AI operationalization — moving projects from prototype to production — as its core value proposition, citing the industry-wide gap where only 53% of AI projects reach production. The senior leadership team includes Founder Jonathan Alves Tooley, CEO Duarte Gomes, Senior Partner Jonathan Rignall, COO Brian Carneiro, CRO Rab Bruce-Lockhart, and CTO/Head of Data Science Gonçalo Almeida.

Name

JTA

Legal name

Jonathan Tooley e Associados Limitada

Website

https://thedatascientists.com

Company type

Private

Founded year

2000

Operating status

Operating

Headcount range

11–50 employees

Short description

JTA The Data Scientists is a Porto-based, founder-owned data and AI consulting firm with 70 professionals across Porto, London, Toronto, and Seattle, serving large enterprise clients with bespoke data engineering, analytics, and AI/ML services built on the Microsoft Azure and Databricks ecosystem.

Ownership category

akta.pro rank

Product category

Data and AI Consulting Services

NAICS

Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Advanced Analytics & Data Science Services (BPAEAHAE)

akta.pro secondary industry

Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)

Keywords

• Data engineering services
• Data analytics consulting
• AI consulting services
• Machine learning consulting
• Data visualization services

Headquarters

HQ city

Porto

HQ country

Portugal

HQ region

Europe

Offices4 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Consulting Services: JTA generates revenue by providing consulting services across the entire Data Value Chain, including Data Engineering, Data Analytics & Visualisation, and AI & Machine Learning. Revenue is derived from professional services engagements with enterprise clients worldwide.

Go-to-market motion2 records

Distribution channels1 record

Marketing channels5 records

Core offering

JTA The Data Scientists is a data and AI consulting firm that delivers professional services across the entire data value chain. Its core offerings include Data Engineering (data ingestion, storage, transformation, quality, governance, and security), Data Analytics & Visualisation (custom visualization, dashboards, embedded intelligence, and Power BI implementations), and AI & Machine Learning services (AI architecture design, generative AI strategy, RAG, LLM fine-tuning, GPU infrastructure, and production deployment) for enterprise clients.

Product overview

JTA The Data Scientists is a data consulting firm offering a portfolio of services across the data value chain. Their core offerings include Data Engineering Services (covering data collection, storage, transformation, quality and governance), Data Analytics & Visualisation Services (including Power BI implementations, dashboard development, and embedded intelligence), and AI & Machine Learning Services (encompassing AI architecture design, generative AI strategy, RAG implementation, fine-tuning, and model deployment). All engagements follow their proprietary Data Science Delivery Framework, a six-step methodology from business objective definition through production implementation. The firm operates across Porto, London, Toronto, and Seattle serving enterprise clients globally.

Differentiator

Problem solved

Functional benefit

Products and services

• Data Engineering Services Data engineering services including data collection, ingestion, storage in cloud data warehouses, data lakes, and vector databases, plus transformation, enrichment, quality, governance, and security implementation. Designed for enterprise clients needing robust data foundations.
• Data Analytics & Visualisation Services Data visualization and analytics services including custom visualization design, data preparation, dashboard management, embedded intelligence, and Power BI implementations across sales, marketing, operations, finance, and market research domains. For enterprise business functions needing actionable insights.
• AI & Machine Learning Services AI and machine learning services including AI architecture design, generative AI strategy, LLM operationalization, RAG implementation, fine-tuning, GPU infrastructure, model deployment, and custom algorithm development. For enterprise clients seeking to move AI from pilot to production.

Quantifiable outcome

• 85% of AI projects deliver erroneous outcomes without proper frameworks (industry benchmark cited by JTA as context for their approach)
• +1 more outcomes

Named customers1 record

Segments6 records

Ideal customer profiles2 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability11 records

Feature5 records

Partnerships

Five partnerships are on record, tiered core.

• DatabrickscoreTechnology or IntegrationJTA leverages the Databricks Lakehouse Platform for data processing, preparation, and management of large data pipelines. JTA uses Databricks for cloud hosting, scalable compute with GPU clusters, collaborative notebooks, MLOps and governance, and Delta Lake for data quality and embedding generation in AI architectures.
• PineconecoreTechnology or IntegrationJTA utilizes Pinecone as a vector database for storing and retrieving vector embeddings that power AI applications including RAG-based Generative Chat. Pinecone supports JTA's ability to manage hundreds of millions to billions of embeddings with low latency for enterprise AI use cases.
• Hugging FacecoreTechnology or IntegrationJTA uses embedding models from Hugging Face for encoding text and data into vector representations for AI applications. Hugging Face models are part of JTA's modern AI architecture stack.
• Microsoft (Azure OpenAI)coreTechnology or IntegrationJTA leverages Azure OpenAI service and Microsoft AI capabilities for deploying LLMs and building enterprise AI solutions. JTA is a Microsoft ecosystem partner with Fabric integration and Power BI expertise.
• Microsoft Fabric CommunitycoreTechnology or IntegrationJTA is part of the Microsoft Fabric community as a user and integrator, providing embedded intelligence and AI-augmented analytics capabilities to clients through Microsoft Fabric and Power BI platforms.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Slalom: Mid-sized global consulting firm focused on technology, data, and AI transformation for enterprise clients. Closely comparable in offering mix (data engineering, analytics, AI/ML delivery), relationship-driven enterprise sales, and use of Microsoft, Databricks, and cloud ecosystems.
• Tiger Analytics: Pure-play data and AI consulting firm serving global enterprises with data engineering, advanced analytics, and GenAI delivery. Comparable size, similar services-led model, and overlapping Microsoft / Databricks / hyperscaler partnerships.
• Fractal Analytics: Enterprise AI and analytics services firm delivering data engineering, ML, and GenAI solutions to large global clients. Comparable in target customer (Fortune-class enterprises), AI/ML consulting focus, and proprietary IP around AI delivery frameworks.
• Tredence: Data science and AI consulting firm specializing in data engineering, cloud migration, and ML/AI delivery for retail, CPG, and other verticals. Closely comparable services portfolio and enterprise customer profile.
• LatentView Analytics: Public data and analytics consulting firm providing data engineering, AI/ML, and digital analytics to global enterprises. Similar service mix around data platforms, visualization, and AI delivery.

Broad incumbents

• Merkle (dentsu): Large performance marketing and customer analytics firm within dentsu, offering data engineering, CDP, and advanced analytics to enterprise clients. Overlaps with JTA's data and AI services but operates at much greater scale across broader marketing/CRM domains.
• Accenture: Global professional services firm with a large Data & AI practice serving Fortune 500 enterprises. Competes for the same enterprise AI/data modernization budgets that JTA targets, but at vastly greater scale and with broader capabilities.
• Deloitte (Analytics & AI): Big Four advisory firm with extensive analytics, AI, and data engineering practices. Competes for the same enterprise AI transformation engagements, but with global delivery, larger teams, and broader portfolio including audit and consulting adjacencies.
• Capgemini Engineering: Global consulting and digital engineering firm with dedicated data and AI service lines serving large enterprises. Comparable in targeting enterprise data modernization but with substantially deeper bench and geographic coverage.

Emerging players

• AbsolutData: AI and analytics services firm focused on marketing and sales analytics, predictive modeling, and AI-driven decisioning. Comparable in advanced analytics and AI delivery but smaller and more vertically specialized than JTA.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/thedatascientists
• Xx.com/lifeatjta
• Facebookfacebook.com/JTATheDataScientists

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles16 records

Funding overview

Funding rounds

Investors

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

M&A

Investments

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

Frequently asked questions about JTA