What Dataplatr does

Dataplatr is a private, Palo Alto-based enterprise data and AI consulting firm founded in 2023, serving large organizations across solar, contact center, manufacturing, logistics, healthcare, retail, and finance with 11–50 employees and a stated 100+ customer base that includes PosiGen Solar, TTEC, FloQast, Bidgely, Sunrun, and Amway. The company positions itself around enterprise data modernization — rebuilding fragmented, reporting-oriented data estates into governed, AI-ready architectures — and operates a four-phase methodology spanning Discovery, Data Foundation, Analytics & AI Implementation, and Validation & Rollout.

Its core service portfolio is organized as a consulting framework with modular accelerators. Core offerings include Enterprise Data Modernization, AI & Advanced Analytics, Business Intelligence & Reporting, Data Governance & Observability, and Forward Deployed Engineering. Modular offerings include pre-built Data Accelerators for Finance, Procurement, HR, Contact Center, and Sales & Marketing, plus Managed Analytics Services and Fractional Data Analyst/Engineering engagements. Underlying technology spans Snowflake, Databricks, Google BigQuery, Amazon Redshift, Looker, Tableau, Power BI, Microsoft Fabric, Sigma Computing, Cube, dbt, Fivetran, Informatica, and Apache Airflow, with AI capabilities covering NLP, computer vision, speech/audio (e.g., the deployed CX Voice AI for PosiGen), predictive analytics, recommendation engines, and generative AI built on top of those cloud and model platforms.

The business model is professional services and managed services: revenue is generated through project-based transformation engagements, continuous managed analytics contracts, and embedded forward-deployed engineering teams, with quote-based (non-publicly-disclosed) pricing. Go-to-market is enterprise field sales supported by content marketing (blog, Medium, LinkedIn, newsletter), webinars, and case studies, with technology partnerships (Google Cloud, Databricks, Snowflake, Looker) serving as a co-sell and credibility channel. The company is privately held, has no disclosed funding rounds, and operates from a single U.S. headquarters.

Name

Dataplatr

Legal name

Dataplatr

Website

https://dataplatr.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

51–100 employees

Short description

Dataplatr is a Palo Alto-based enterprise data and AI consulting firm, founded 2023, that modernizes data estates and implements cloud analytics, BI, and Gen AI solutions on Snowflake, Databricks, Google Cloud, and Looker for large enterprises.

Ownership category

akta.pro rank

Product category

Data Analytics Consulting

NAICS

Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)

akta.pro primary industry

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

akta.pro secondary industries

Data, Analytics & AI Consulting (BPAHAEAF), Data Strategy & Governance Services (BPAEAHAA)

Keywords

• Data analytics consulting
• Cloud data warehousing
• Enterprise AI services
• Business intelligence reporting
• Data modernization services

Headquarters

HQ city

Palo Alto

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

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

Revenue model

1. Custom Data Analytics Services: Tailored custom data analytics services including data accelerators, data engineering, data warehousing, data visualization, AI & ML, and DevOps. These are project-based engagements delivering custom solutions built around specific business needs.
2. Managed Analytics Services: Continuous optimization, reporting operations, governance and analytics support with ongoing managed services.
3. Fractional Services: Expertise on demand through fractional data analyst and fractional data engineering services, providing flexible access to specialized skills without full-time hires.
4. Enterprise Data Modernization: Transforming legacy data environments into modern, governed, and analytics-ready platforms built for AI and business intelligence, including technology assessment, data engineering, cloud migration, and semantic modeling.
5. Forward Deployed Engineering: Embedded specialized engineering expertise into enterprise AI and analytics initiatives including embedded data engineering support, AI & ML implementation, and cross-functional platform development.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels6 records

Core offering

Dataplatr provides enterprise data analytics and AI consulting services that help large organizations modernize legacy data environments, implement cloud data platforms (Google Cloud, Snowflake, Databricks), and operationalize AI/ML use cases. The firm offers project-based transformation, managed analytics services, and embedded forward-deployed engineering teams, supported by pre-built Data Accelerators for finance, procurement, HR, contact center, and sales/marketing functions.

Product overview

Dataplatr is a data analytics and AI consulting services company that offers a portfolio of services organized around a core consulting framework with specialized modules. The core offering includes Enterprise Data Modernization, AI & Advanced Analytics, Business Intelligence & Reporting, Data Governance, and Forward Deployed Engineering Services. These are supported by modular offerings including Modern Data Accelerators (pre-built frameworks for Finance, Procurement, HR, Contact Center, and Sales/Marketing), Managed Analytics Services, and Fractional Services for flexible engagements. The company also provides specialized consulting in Data Engineering, Data Warehousing, Data Visualization, AI & Machine Learning, and DevOps. Their four-phase implementation methodology (Discovery, Data Foundation, Analytics & AI Implementation, Validation & Rollout) ties these services together. Pre-built accelerators and industry-specific solutions (Healthcare, Finance, Retail, Manufacturing) complement their custom implementation approach.

Differentiator

Problem solved

Functional benefit

Products and services

• Enterprise Data Modernization Services Expert consulting for enterprise data modernization, including technology assessment, data engineering and integration, cloud migration, and semantic modeling. Transforms legacy data environments into modern, governed, analytics-ready platforms. Target buyer: large enterprises modernizing data and analytics infrastructure.
• AI & Advanced Analytics Services Consulting to operationalize AI across enterprise workflows, including NLP, predictive forecasting, risk modeling, computer vision, and enterprise AI applications and automation. Target buyer: enterprises operationalizing AI across business functions.
• Business Intelligence & Reporting Services BI and reporting services enabling faster, data-driven decisions with executive dashboards, KPI standardization and governance, self-serve analytics, and legacy reporting transformation. Target buyer: enterprises standardizing BI and reporting across functions.
• Data Governance & Observability Services Services improving trust, visibility, and governance across enterprise data environments, including data quality management, metadata management and cataloging, data lineage and impact analysis, and next-gen data control policies. Target buyer: large enterprises building governed, AI-ready data estates.
• Forward Deployed Engineering Services Embedded engineering expertise integrated into enterprise AI and analytics initiatives for faster execution, including embedded data engineering support, AI/ML implementation, cross-functional platform development, and enterprise architecture alignment. Target buyer: enterprises needing embedded data and AI talent.
• Gen AI Consulting Consulting services for implementing generative AI solutions including conversational AI agents, custom content generation, NLP, and image/video analytics. Target buyer: enterprises deploying Gen AI in production workflows.
• Managed Analytics Services Managed analytics services providing continuous optimization, reporting operations, governance, and analytics support for ongoing data and AI needs. Target buyer: enterprises that need ongoing analytics and BI operations support.
• Fractional Data Analyst / Data Engineering Services On-demand access to expert data analysts and data engineers for flexible engagement without full-time hires. Target buyer: enterprises needing flexible, on-demand data talent.
• Data Engineering Services Design, development, and optimization of data pipelines and infrastructure including data acquisition, transformation, pipeline automation, and scalable architecture for handling massive data volumes. Target buyer: enterprises building or modernizing data pipelines.
• Data Warehousing Services Storing and managing large volumes of structured and semi-structured data in central repositories, including cloud data warehousing on Snowflake, BigQuery, or Redshift, plus data governance and ELT processes. Target buyer: enterprises migrating to or optimizing cloud data warehouses.
• Data Visualization Services Conversion of raw data into visual formats including interactive dashboards, custom visuals, data storytelling, and visualization tools such as Power BI, Tableau, Looker, Sigma, and Omni. Target buyer: enterprises standardizing dashboards and reporting.
• AI & Machine Learning Services AI and machine learning consulting including predictive analytics, NLP, recommendation engines, model deployment, DataOps, MLOps, and LLMOps for operationalizing AI models. Target buyer: enterprises building and operationalizing AI/ML use cases.
• DevOps / DataOps / MLOps Consulting Services DevOps, DataOps, and MLOps services including CI/CD pipelines, infrastructure management with Docker, workflow automation, model automation and monitoring, and versioning for datasets and models. Target buyer: enterprises operationalizing data and ML pipelines.
• Custom Data Analytics Services Custom data analytics solutions built around specific business needs, including data accelerators, data engineering, data warehousing, data visualization, AI & ML, and DevOps services. Target buyer: enterprises with bespoke analytics requirements.
• Modern Data Accelerators Pre-built analytics frameworks including Financial Analytics, Procurement & Spend Analytics, HR & Workforce Analytics, Contact Center Analytics, and Sales & Marketing Analytics, designed to reduce implementation effort and accelerate business outcomes. Target buyer: enterprises wanting rapid deployment of function-specific analytics.

Quantifiable outcome

• Accelerated analytics deployment through pre-built frameworks and governed data models
• +1 more outcomes

Named customers6 records

Segments10 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration14 records

AI capability12 records

Feature7 records

Partnerships

Seven partnerships are on record, tiered core and major.

• Google CloudcoreTechnology or IntegrationGoogle Cloud partner providing cloud infrastructure, data processing, and analytics capabilities. Dataplatr leverages Google BigQuery and other Google Cloud services as part of their cloud data warehouse and analytics solutions. The partnership enables delivery of cloud-native data modernization services.
• DatabrickscoreTechnology or IntegrationDatabricks partner specializing in the Lakehouse Platform for unifying data engineering, analytics, and business intelligence. Dataplatr implements Databricks-based solutions for contact center analytics and enterprise data modernization, enabling real-time, scalable intelligence.
• SnowflakecoreTechnology or IntegrationSnowflake partnership for cloud data warehousing and analytics. Dataplatr leverages Snowflake's platform for data storage, processing, and advanced analytics including Snowflake Cortex for AI-driven data workflows and automated code generation.
• LookercoreTechnology or IntegrationLooker consulting and implementation partner. Dataplatr delivers Looker-based business intelligence and reporting solutions, including Looker conversational analytics for finance and operational dashboards. Host of Looker-focused webinars and thought leadership.
• Microsoft FabricmajorTechnology or IntegrationMicrosoft Fabric consulting services partner providing data analytics solutions on Microsoft's unified analytics platform. Enables delivery of enterprise analytics solutions leveraging Microsoft's data and analytics ecosystem.
• Sigma ComputingmajorTechnology or IntegrationSigma Computing partner for cloud-native analytics and data visualization. Dataplatr implements Sigma-based solutions for self-service analytics and business intelligence dashboards.
• CubemajorTechnology or IntegrationCube consulting partner providing semantic layer and data governance solutions. Dataplatr leverages Cube for metrics and semantic layer implementation in enterprise analytics architectures.

Scale indicators1 record

Recent moves6 records

Expansion highlights6 records

Direct peers

• Tredence: Tredence is a data and AI consulting firm specializing in data engineering, analytics, and AI/ML implementations for enterprises, with deep partnerships across Snowflake, Databricks, and Google Cloud — directly comparable to Dataplatr's modern data stack focus and partner-led GTM.
• Tiger Analytics: Tiger Analytics is a pure-play data and AI consulting firm delivering data engineering, advanced analytics, and ML solutions to enterprise clients across industries. It competes head-to-head with Dataplatr for similar Snowflake/Databricks-driven modernization engagements.
• Fractal Analytics: Fractal is an AI and analytics services firm offering data engineering, decision intelligence, and AI solutions to Fortune 500 enterprises. Its portfolio of AI services and vertical solutions mirrors Dataplatr's enterprise data modernization and AI consulting motion.
• LatentView Analytics: LatentView is a data and analytics consulting firm providing data engineering, AI/ML, and business intelligence services to global enterprises. Its services-led model and focus on data-driven decision-making directly parallel Dataplatr's offering.
• AbsolutData: AbsolutData is an AI and analytics services firm delivering data engineering, predictive analytics, and AI-driven marketing and sales solutions. Its mid-size services footprint and focus on AI-led business outcomes is closely aligned with Dataplatr's profile.

Emerging players

• Indium Software: Indium is a digital engineering services firm with a strong data and analytics practice covering data engineering, BI, and AI/ML implementations. Its size and partner-led delivery model are comparable to Dataplatr's mid-market consulting profile.
• Mactores Cognition: Mactores is a data and AI services firm specializing in data engineering, cloud modernization, and ML implementations across Snowflake, Databricks, and AWS. Its mid-size, partner-led services profile closely mirrors Dataplatr's positioning.

Broad incumbents

• Slalom: Slalom is a large global consulting firm with a significant data and analytics practice spanning Snowflake, Databricks, and cloud modernization. It competes for similar enterprise modernization engagements but at much larger scale and broader portfolio.
• Thoughtworks: Thoughtworks is a global technology consultancy delivering custom software, data engineering, and AI/ML implementations. Its data and intelligence practice competes with Dataplatr for enterprise modernization work, though at much greater scale.
• Genpact: Genpact is a large IT services firm with deep data, analytics, and AI capabilities serving global enterprises across industries. It offers overlapping enterprise data modernization services but as part of a much broader services portfolio.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/dataplatrinc

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 Dataplatr