What DSharp does

DSharp is a Helsinki, Finland-based analytics company founded in 2021 with a headcount of 1-10 employees. According to its firmographic profile, the company's products "simplify complex data handling by turning conceptual models into executable code," positioning it in the data and analytics tooling space. Its website (dsharp.fi) carries the tagline "Discover. Build. Answer. Trusted analytics." indicating a workflow-oriented analytics platform aimed at data discovery, building analytics capabilities, and deriving answers from data. The company is privately held with no IPO status and no public ticker.

The company's public footprint is minimal. No named products or modules, no customer logos, no leadership team profiles, no funding rounds, no partnerships, no pricing information, no app listings, and no social media profiles are disclosed in available sources. The website appears active but contains limited content beyond the tagline and basic navigation. No APIs, SDKs, integrations, certifications, patents, trademark filings, regulatory actions, M&A activity, or restructuring events are documented. There is also no evidence of an app, developer platform, or MCP surface.

The business model is not publicly disclosed. No revenue, pricing model, customer segments, go-to-market motion, distribution channels, or geographic markets are visible. With approximately four years of operating history but no disclosed funding, customer references, or headcount growth beyond the 1-10 range, DSharp appears to operate at an early stage. Without evidence of venture funding, the company is likely bootstrapped or minimally capitalized, with a small set of pilot or early-adopter engagements if any commercial traction exists at all.

Name

DSharp

Website

https://dsharp.fi

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Short description

DSharp is a Helsinki-based analytics company founded in 2021 that develops tools to simplify complex data handling by transforming conceptual models into executable code. The 1-10 employee firm serves customers seeking trusted analytics solutions for data workflows.

Ownership category

akta.pro rank

Product category

Data Analytics Software

NAICS

Custom Computer Programming Services (541511)

SIC

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

akta.pro primary industry

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

akta.pro secondary industry

Data Strategy & Governance Services (BPAEAHAA)

Keywords

• Data analytics software
• Analytics platform
• Data modeling tools
• Business intelligence
• Conceptual modeling

Headquarters

HQ city

Helsinki

HQ country

Finland

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations

Core offering

DSharp develops analytics software that simplifies complex data handling by converting conceptual data models into executable code. Its offering is positioned around a "Discover. Build. Answer. Trusted analytics" workflow that helps users move from conceptual design to functioning analytics outputs without manual query engineering.

Product overview

DSharp is an analytics company offering data and analytics solutions. Based on the tagline "Discover. Build. Answer. Trusted analytics," the company appears to provide tools for data discovery, building analytics capabilities, and deriving answers from data. No specific named products or modules were identified in the available source content.

Differentiator

Problem solved

Functional benefit

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Recent moves1 record

Direct peers

• Dataform: Dataform (acquired by Google) provides a framework for managing data transformations in BigQuery using version-controlled SQL models. Comparable to DSharp as a tooling layer that turns logical data definitions into executable transformation code.
• Prophecy: Prophecy is a low-code data transformation platform that converts visual data pipelines into executable Spark, SQL, or Python code. Highly comparable to DSharp's "conceptual models to executable code" positioning and target buyer (data engineering teams).
• dbt Labs: dbt Labs builds dbt, the leading open-source analytics engineering tool that lets teams transform data in their warehouse using SQL-based models. Directly comparable to DSharp's focus on turning conceptual data models into executable transformation code, though dbt operates at much larger scale.
• Cube.dev: Cube is a semantic layer platform that lets teams define data models once and expose them as consistent metrics and APIs across BI tools. Comparable to DSharp in translating conceptual data models into consistent, executable representations.
• Coalesce: Coalesce is a data transformation and modeling platform that automates the conversion of conceptual data models into production-ready warehouse code. Direct overlap with DSharp's stated value proposition around simplifying data modeling and code generation.

Broad incumbents

• Dataiku: Dataiku is an end-to-end enterprise AI and analytics platform that includes visual data preparation, modeling, and pipeline code generation. Comparable in category but much broader in scope than DSharp's focused conceptual-to-executable proposition.
• Databricks: Databricks provides a unified lakehouse platform with Delta Live Tables and Databricks Asset Bundles that translate declarative pipeline definitions into executable code. Broad incumbent competing for the same conceptual-to-executable buyer need that DSharp targets.
• Airbyte: Airbyte is an open-source data integration platform with growing capabilities around declarative connector and pipeline definitions. Comparable to DSharp as a code-generation/data-handling platform serving modern data stack teams.

Emerging players

• Atlan: Atlan is a data catalog and governance platform that helps teams document and operationalize data assets, with growing automation around turning business definitions into executable lineage and policy. Adjacent to DSharp's data handling and analytics focus.
• Monte Carlo: Monte Carlo provides data observability and reliability tooling that monitors and auto-generates rules around data pipelines. Comparable as an emerging analytics-adjacent platform serving the same enterprise data teams that DSharp targets.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat1 record

Key risks5 records

Key highlights4 records

Customer concentration

• LinkedInlinkedin.com/company/dsharp-oy

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 DSharp