What Datavise does

Datavise is a private AI and data consultancy founded in 2023 and headquartered in Boston, with offices in San Francisco, Lisbon, Warsaw, and Tel Aviv, and a fully remote European delivery team. The firm sells end-to-end AI services — strategy, custom development, deployment, and managed operations — to enterprise and growth-stage clients in healthcare and biotech, finance and banking, retail and eCommerce, manufacturing and engineering, real estate, and legal and compliance. Its service portfolio spans eight lines: AI & ML Consulting, Generative AI Solutions, RAG as a Service, Data & BI Consulting, Cloud Services, Data Management & Architecture, Data Visualization & Reporting, and an add-on AI & ML Dedicated Team (Team-as-a-Service) module.

Datavise's technical stack is built on commodity cloud and AI infrastructure rather than proprietary models. Core implementations combine OpenAI large language models (including the text-embedding-3-large embedding model) with LangChain and LlamaIndex orchestration, Weaviate vector search, Databricks and Snowflake data platforms, and Prefect and Apache Airflow for workflow orchestration across AWS, Azure, and Google Cloud. Differentiated architectural work includes hierarchical-chunking RAG with metadata enrichment for legal/compliance use cases, a hybrid keyword-plus-vector biomedical search engine with NLP-to-SQL translation, a cross-platform Prefect-based orchestration framework that achieves 100% task success across Windows and Linux environments, and a voice AI receptionist built on Twilio and RetellAI. The firm holds no patents, publishes no research, and discloses no proprietary training pipelines or data assets.

Datavise monetizes almost entirely through professional services: project-based AI consulting engagements, custom AI development from proof-of-concept to full deployment, and dedicated-team staff augmentation. Pricing is quote-based and not publicly disclosed; there is no self-serve product, marketplace listing, or published SaaS SKU. The go-to-market is sales-led and consultative, with CTAs emphasizing "Request a Demo" and "Get a Free Consultation," and demand generation runs through blog content, case studies, LinkedIn, and inbound consultation forms. The company is bootstrapped — no institutional investors, funding rounds, or M&A activity are disclosed — and appears to be founder/management-owned under CEO Michael Makashyn. Certifications and compliance positioning include GDPR, HIPAA-aware deployments, and ISO 27001-aligned Azure builds.

Name

Datavise

Legal name

Datavise

Website

https://datavise.ai

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

Datavise is a private, Boston-based AI and data consultancy (founded 2023) that delivers custom AI solutions, RAG systems, and dedicated AI/ML teams to enterprise clients across healthcare, finance, retail, manufacturing, real estate, and legal/compliance verticals.

Ownership category

akta.pro rank

Product category

AI Consulting Services

NAICS

Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511), Computer Systems Design Services (541512), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371), Services-Management Consulting Services (8742)

akta.pro primary industry

Data Engineering, Integration & ETL/ELT Services (BPAEAHAB)

akta.pro secondary industries

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

Keywords

• AI consulting services
• Generative AI solutions
• RAG implementation
• Data analytics consulting
• Cloud AI services

Headquarters

HQ city

Boston

HQ country

United States

HQ region

North America

Offices5 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

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

Revenue model

1. AI Consulting Services: Professional consulting services for AI strategy, implementation, and deployment. Includes AI & ML consulting, data strategy, and business intelligence consulting engagements billed as project-based or retainer arrangements.
2. Dedicated Team Services: Team-as-a-Service (TaaS) model providing dedicated AI and ML professionals to augment client teams. Flexible engagement model where specialized talent is assigned to client projects for ongoing development.
3. Custom AI Development: Development of custom AI solutions, agents, and platforms tailored to specific client needs. Project-based engagements ranging from proof-of-concept to full-scale deployment.

Go-to-market motion2 records

Distribution channels2 records

Marketing channels4 records

Core offering

Datavise provides end-to-end AI and data consulting services for enterprise clients, including AI strategy, custom generative AI model development, Retrieval-Augmented Generation (RAG) implementations, business intelligence and data analytics consulting, data architecture design, data visualization, and cloud services across AWS, Azure, and Google Cloud. The company also offers a Team-as-a-Service (Dedicated AI & ML Team) model that supplies specialized talent to augment client engineering teams.

Product overview

Datavise is an AI-driven business transformation consultancy offering a comprehensive suite of eight core service offerings organized as a platform-plus-modules architecture. The core platform consists of AI & ML Consulting, which provides end-to-end strategy and implementation support, supplemented by specialized services including Generative AI Solutions (custom AI models and LLM integration), RAG as a Service (retrieval-augmented generation for knowledge retrieval), Data & BI Consulting (analytics and business intelligence), Data Management & Architecture (data infrastructure), Data Visualization & Reporting (compliance and reporting), and Cloud Services (multi-cloud infrastructure management). The AI & ML Dedicated Team operates as an add-on module providing specialized talent on-demand. The company also offers Technology-specific consulting services across AWS, Microsoft Azure, Databricks, Google Cloud, Snowflake, Tableau, and Power BI. Services are delivered across six industry verticals: Healthcare & Biotech, Finance & Banking, Retail & eCommerce, Manufacturing & Engineering, Real Estate & Property Management, and Legal & Compliance.

Differentiator

Problem solved

Functional benefit

Products and services

• Generative AI Solutions Custom generative AI model development tailored to specific business challenges, including LLM integration and AI Agents for automation. Designed to deliver intelligent, personalized experiences for enterprise customers.
• Data & BI Consulting Business intelligence and data analytics consulting services that transform data into actionable insights for strategic decision-making and operational efficiency.
• RAG as a Service Retrieval-Augmented Generation services combining large language models with real-time data retrieval for accurate, context-aware AI-driven responses tailored to business needs.
• AI & ML Consulting End-to-end AI and machine learning consulting from strategy development through implementation, including process automation, customer experience enhancement, and solving complex business challenges.
• Cloud Services Expert support for cloud migration, management, and optimization across AWS, Google Cloud, and Microsoft Azure, ensuring data accessibility, security, and scalability for AI and analytics workloads.
• Data Management & Architecture Design and implementation of robust data architectures that support secure, scalable, and well-structured data environments for improved efficiency and security.
• Data Visualization & Reporting Data governance and reporting services creating intuitive visualizations that make data accessible and understandable, enabling better decisions across organizations.
• AI & ML Dedicated Team Team-as-a-Service model providing specialized AI and machine learning talent to develop, implement, and manage custom AI solutions for client projects on an ongoing basis.

Quantifiable outcome

• 68% reduction in document retrieval time for compliance management
• +4 more outcomes

Named customers8 records

Segments6 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability17 records

Feature5 records

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• KUNGFU.AI: Boutique AI strategy and engineering consultancy serving enterprise clients across regulated industries. Closely comparable in size, scope (AI consulting + custom model/agent development), and target buyer profile.
• Markovate: AI development and consulting firm offering custom AI solutions, generative AI, and RAG implementations for enterprise and startup clients. Highly comparable service mix and delivery model.
• Hatchworks AI: AI/ML consultancy providing strategy, generative AI, and data engineering services to enterprise buyers. Comparable in offering breadth and consultative, project-led delivery.
• Tredence: AI and data analytics services firm with verticalized offerings across healthcare, retail, and financial services. Comparable in data engineering, BI consulting, and AI solution delivery.
• LeewayHertz: AI development company offering custom AI solutions, generative AI, and data engineering services. Comparable in custom development focus and AI consulting-led model.

Broad incumbents

• Slalom: Global technology and business consulting firm with a strong data and AI practice serving enterprise clients. Competes with Datavise on enterprise AI consulting engagements but at much greater scale and breadth.
• Accenture: Global systems integrator with a large data and AI services practice. Represents the scaled incumbent competition for enterprise AI transformation mandates that Datavise targets.
• Deloitte (AI & Data practice): Big Four consultancy with deep data, analytics, and AI consulting offerings across regulated industries. Competes for the same enterprise AI strategy and implementation work but with vastly greater resources.

Emerging players

• Innodata: Data engineering and AI services provider with focus on data preparation, annotation, and AI model development. Comparable in data-centric services and vertical expertise.
• DataRobot: Enterprise AI platform vendor that has expanded into AI services and implementation support. Comparable at the AI/ML consulting and deployment layer, though anchored by a productized platform.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks7 records

Key highlights6 records

Customer concentration

• Xlinkedin.com/company/dataviseai
• LinkedInlinkedin.com/company/dataviseai

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 Datavise