Identity graph
DataHifel Analytics headquarters, locations and relationships
- Legal name
- DataHifel Analytics Pvt Ltd
- Industry
- Data Analytics Software
- Founded
- 2018
- Website
- datahifel.com
DataHifel Analytics office locations
No office locations recorded yet.
- Parent company
- No parent company recorded in GraphIQ.ai.
Verified from public filings, company websites and news · Methodology
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Technographics (available after sign-in)
Software, cloud and infrastructure in use.
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Firmographics (available after sign-in)
Revenue, headcount, growth and industry codes.
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Capabilities (available after sign-in)
Products, services and certifications.
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News (available after sign-in)
Recent coverage and signals, resolved to the entity.
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And more (available after sign-in)
Subsidiaries, people and lookalike companies.
Who uses the DataHifel Analytics entity
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Revenue and GTM teams
Territories, enrichment and account expansion on one resolved account.
RevOps Sales & marketing -
Developers and AI agents
The entity and its relationships through the REST API and MCP server.
Developers -
Private equity and investors
Corporate family, comparable companies and deal sourcing.
Private equity -
Industry and supply chain
Suppliers, sites and partners mapped to the right legal entity.
Industry -
Government and public sector
Supplier vetting, ownership and jurisdiction checks against one verified entity.
Government
About DataHifel Analytics
DataHifel Analytics: Software company founded in 2018. Founded in 2018, the company employs approximately 125 people worldwide.
What does DataHifel Analytics do?
At DataHifel, we specialize in turning raw data into actionable insights that drive strategic decision-making and operational excellence. Our team of seasoned data scientists, analysts, and engineers are dedicated to providing innovative analytics solutions tailored to meet the unique needs of businesses across various sectors. Founded in [2018], DataHifel has grown into a trusted partner for companies seeking to leverage the power of data. From predictive analytics and machine learning to data visualization and business intelligence, we offer a comprehensive suite of services designed to empower organizations to achieve their goals and stay ahead in an increasingly data-driven world.
One entity, every stage
Put DataHifel Analytics to work across your revenue bowtie
- Target Define the market Build the account list from companies shaped like your best customers, DataHifel Analytics included. Fingerprint search
- Cover Plan territories DataHifel Analytics resolves to one account, so it lands in one territory, once. Territory planning
- Engage Act on timing Leadership changes, funding and M&A arrive linked to the account, not a loose headline. Signal monitoring
- Convert Close on a resolved record Inbound and closed-won attach to one CRM record, with no duplicates to merge. CRM enrichment
- Retain Ground every answer Customer teams and AI agents answer from the same entity, with a source and a date. AI agent data layer
- Expand Find the next buyer inside Follow subsidiaries and divisions to the next team that can buy. Account expansion
About the source
What is GraphIQ.ai?
A B2B identity graph. It resolves each organization into one verified entity and maps its parent and subsidiaries, employees, competitors and news signals. Revenue teams use it in the product; AI agents query it through the REST API and MCP server.
POST/api/v2/organizations/search
DataHifel Analytics: frequently asked questions
When was DataHifel Analytics founded?
2018.
How many employees does DataHifel Analytics have?
About 125, as of October 2026 (GraphIQ.ai estimate).
Questions about GraphIQ.ai
Is GraphIQ.ai a list of companies like a spreadsheet?
No. Each organization resolves to one verified entity linked to its parent, subsidiaries, people and signals, so DataHifel Analytics here is the same DataHifel Analytics in your CRM, territory plan and agent answers.
Where does this DataHifel Analytics data come from?
Public filings, company websites and news, resolved to one entity and continuously updated.