DATAPILOT

What DATAPILOT does

Data Pilot is a privately held data and AI consulting firm founded in 2004, operating as a full-stack services provider with US headquarters in Sacramento, California (720 14th Street #CA115) and a delivery office in Lahore, Pakistan (304 Upper Mall, 54000). The firm employs 11–50 people and targets SMBs and mid-market leaders that want enterprise-grade data and AI capabilities without building them in-house, serving verticals including government, retail, finance, power and energy, logistics, education, healthcare, and real estate. Its client roster includes Pakistan Single Window, World Bank, PITB, K-Electric, Lulusar, Levis, KPMG, and Growth Shop, with engagements spanning strategy consulting, solutions engineering, and capacity-building training.

The company's core offering is a five-pillar services portfolio — AI Services (Agentic AI, AI Copilots, AI Strategy, Generative AI, RAG Systems), Data Engineering and Ops (ETL, data integration, data observability, analytics engineering, MLOps), Data Science and Machine Learning, Analytics (BI dashboards, customer, embedded, marketing, revenue), and Data Platforms (cloud services, data lakes, data warehousing, modernization) — with an AI Product Development arm and a Capacity Building training practice. Technology delivery is underpinned by certifications and partnerships with IBM, AWS, Microsoft (Azure, Power BI), GoodData, Dremio, Cloudera, and Starburst. The proprietary Data Maturity Diagnostic Suite (offered in Essentials, Accelerator, and Catalyst tiers and benchmarked against DAMA standards) functions as the firm-named entry-point product for engagements.

Data Pilot's revenue model is professional services across three streams — Strategy Consulting and Advisory, Solutions Engineering, and Capacity Building — sold via a consultative sales motion anchored on 'Book Free Strategy Call' and 'Book Free Consultation' CTAs, with US (+1 628 2583025) and Pakistan (+92 311 5566026) phone and email outreach. Pricing is not publicly disclosed. The firm has no public listing, no disclosed outside funding, and no disclosed parent company; it operates as a bootstrapped services firm and markets itself through thought-leadership content (blog, webinars, the 'AI Beats' newsletter) and social channels (LinkedIn, Medium, YouTube, Facebook, Instagram).

Name

DATAPILOT

Legal name

Data Pilot

Website

https://data-pilot.com

Company type

Private

Founded year

2004

Operating status

Operating

Headcount range

11–50 employees

Short description

Data Pilot is a privately held, bootstrapped consulting firm founded in 2004 with US and Pakistan offices, delivering data engineering, BI/analytics, AI, and machine learning services to SMB and mid-market clients across government, retail, finance, healthcare, and other verticals.

Ownership category

akta.pro rank

Product category

Data and AI Consulting Services

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

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

akta.pro primary industry

Data Strategy & Governance Services (BPAEAHAA)

akta.pro secondary industry

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

Keywords

• Data engineering services
• AI consulting services
• Machine learning consulting
• Data analytics services
• Business intelligence consulting

Headquarters

HQ city

Lahore

HQ country

Pakistan

HQ region

Asia

Offices2 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

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

Revenue model

1. Strategy Consulting & Advisory: Strategy consulting and advisory services helping clients identify gaps in data assets and formulate roadmaps aligned with business goals. Includes Data Governance, Maturity & Architecture Assessment services.
2. Solutions Engineering: Data engineering services ensuring data is clean, valid, and ready for strategic planning. Covers AI & ML, Agentic AI, Analytics, Data Engineering, MLOps, Software Development, Cloud & Custom Solutions.
3. Capacity Building: Customized training and capacity building programs including Data Literacy, Governance Training & Knowledge Management to help clients sustainably leverage new tools, processes, and insights.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels10 records

Core offering

DATAPILOT is a full-stack data and AI consulting firm that helps SMBs and mid-market leaders deploy enterprise-grade data, analytics, and AI strategies. Their service portfolio spans data engineering, data platforms, analytics, data science/ML, and AI services (including Agentic AI, AI Copilots, Generative AI, and RAG Systems), supported by a Data Maturity Diagnostic Suite that benchmarks client maturity against DAMA standards as the entry point to engagements.

Product overview

DATAPILOT is a data and AI consulting firm, not a software product company. Its offering is a services portfolio organized around a diagnostic-first engagement model. The core entry point is the Data Maturity Diagnostic Suite (Essentials, Accelerator, Catalyst tiers), which benchmarks client maturity against DAMA standards. From this assessment, engagements span five service pillars: (1) AI Services — covering Agentic AI, AI Copilots, AI Strategy, Generative AI, and RAG Systems; (2) Data Engineering & Ops — including ETL, data integration, data observability, analytics engineering, and MLOps; (3) Data Science & Machine Learning — including customer segmentation and deep learning; (4) Analytics — including BI dashboards, customer, embedded, marketing, and revenue analytics; and (5) Data Platforms — including cloud services, data lakes, data warehousing, and modernization. These are complemented by AI Product Development and Capacity Building (training) services. All services are delivered with technology partner support (AWS, Microsoft/Azure, IBM, Snowflake, Databricks, Starburst, Dremio, Cloudera, GoodData) and target SMBs and mid-market organizations deploying enterprise-grade data and AI.

Differentiator

Problem solved

Functional benefit

Products and services

• Data Maturity Diagnostic Suite A structured assessment suite enabling organizations to benchmark their Data & AI maturity against DAMA standards and industry peers, offered in three tiers: Essentials, Accelerator, and Catalyst. Used as the lead-generation and engagement-entry mechanism for SMBs and mid-market companies.
• AI Services (Agentic AI, AI Copilots, AI Strategy, Generative AI, RAG Systems) A portfolio of AI consulting and engineering services covering autonomous agent (Agentic AI) deployment, conversational AI copilots, AI strategy and governance, generative AI applications, and Retrieval-Augmented Generation (RAG) system development. Targeted at SMBs and mid-market organizations deploying enterprise-grade AI.
• Data Engineering & Ops Managed data engineering services including data integration, ETL pipelines, data observability, analytics engineering, and MLOps. Ensures data is clean, valid, and flows seamlessly across platforms for analytics and AI readiness.
• Data Science & Machine Learning Data science and ML services including customer segmentation and deep learning model development, applied to business problems across industries for predictive and prescriptive analytics.
• Analytics Services (BI Dashboards, Customer, Embedded, Marketing, Revenue Analytics) Analytics services covering business intelligence dashboards, customer analytics, embedded analytics, marketing analytics, and revenue analytics, enabling organizations to turn scattered data into measurable ROI.
• Data Platforms Services (Cloud, Data Lakes, Data Warehousing, Modernization) Data platform services spanning cloud infrastructure (AWS, Azure), data lake and data warehousing architecture, data modernization programs, and implementation of modern data platform patterns such as lakehouse.
• Strategy Consulting & Advisory Strategy consulting and advisory services focused on data governance, maturity assessment, data architecture, and roadmap formulation aligned with organizational goals.
• AI Product Development Applied AI product development services that help organizations build AI-driven products, embedded analytics capabilities, and custom software solutions on top of modern data platforms.
• Capacity Building (Data Literacy, Governance Training) Customized training and capacity building programs covering data literacy, governance training, and knowledge management to help organizations sustainably leverage new tools and transition to modern data and AI technologies.

Quantifiable outcome

• 82% data storage cut with Data Deduplication
• +2 more outcomes

Named customers7 records

Segments10 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature5 records

Partnerships

Three partnerships are on record, tiered core.

• IBMcoreTechnology or IntegrationTechnology partnership providing IBM data and AI technology integration capabilities as part of Data Pilot's technology stack.
• Amazon Web Services (AWS)coreTechnology or IntegrationAWS partnership enabling cloud infrastructure, data services, and AI/ML capabilities deployment on AWS platform. Company holds AWS certifications.
• MicrosoftcoreTechnology or IntegrationMicrosoft partnership covering Azure cloud platform, Power BI, and Microsoft AI technologies. Company holds Azure and Power BI certifications.

Scale indicators3 records

Recent moves4 records

Expansion highlights5 records

Direct peers

• Tiger Analytics: Mid-market data and AI consulting firm offering data engineering, analytics, and ML services to enterprise and SMB clients. Closely comparable in service mix (data engineering, AI, analytics) and target segment to Data Pilot.
• Tredence: Data and AI solutions provider focused on retail, CPG, and mid-market enterprises with capabilities in data engineering, MLOps, and analytics. Direct competitor in the data engineering + AI services niche Data Pilot targets.
• Fractal Analytics: Large AI and analytics services firm with practices in data engineering, computer vision, generative AI, and decision sciences. Overlaps with Data Pilot's AI and ML service portfolio at the mid-market/enterprise tier.
• LatentView Analytics: Data and analytics consulting firm serving global enterprises with services spanning data engineering, AI/ML, and business intelligence. Comparable in services mix and customer profile to Data Pilot.
• Slalom: Mid-market-focused consulting firm with strong data and analytics practice, including data engineering, AI strategy, and cloud services. Directly comparable in GTM (consultative, regional) and service scope.
• AbsolutData: AI and analytics services firm focused on mid-market and enterprise clients with capabilities in data engineering, predictive analytics, and AI. Overlaps with Data Pilot's mid-market AI services positioning.
• Pandera Systems: Data and AI services firm offering data engineering, analytics, and ML solutions, with a US delivery model. Comparable in size and services scope to Data Pilot, and a likely direct competitor for US mid-market AI work.
• West Monroe Partners: Management and technology consulting firm with a dedicated data and analytics practice serving mid-market clients. Comparable in consulting-led, regional GTM and data/AI service portfolio.

Broad incumbents

• KPMG (Data & Analytics practice): Big Four professional services firm with a large data and analytics consulting practice that competes for the same enterprise and government data modernization engagements Data Pilot targets. Larger scale, broader portfolio, same buyer.
• Genpact (Analytics): Global professional services firm with an analytics and AI practice serving enterprise clients with data engineering, MLOps, and AI services. Operates at significantly larger scale than Data Pilot but competes for the same enterprise data/AI budget.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• YouTubeyoutube.com/@data_pilot
• Facebookfacebook.com/datapilottech
• LinkedInlinkedin.com/company/datapilottech
• Instagraminstagram.com/data.pilot

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

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 DATAPILOT