40

Out of 100

N/A

Post-money

$3M

All rounds

40/100

2018

10-50 employees

March 2026

OrbitShift is a market intelligence and competitive insights platform that uses AI to aggregate, structure, and analyze signals from earnings calls, news, patent filings, regulatory submissions, and industry databases to help enterprise strategy teams track competitive dynamics in real time. The platform surfaces insights on competitor moves, technology shifts, and market entry signals that would

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A

Anirudh Singh

Founder & CEO

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StageSeed
Employees10-50
Country🇮🇳 India

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Seed · No public funding round data available yet.

Frequently Asked Questions

What is OrbitShift's valuation?
OrbitShift's valuation is not publicly disclosed.
Who invested in OrbitShift?
Investor information for OrbitShift is not publicly available at this time.
When did OrbitShift last raise funding?
No public funding round data is currently available for OrbitShift.
How many employees does OrbitShift have?
OrbitShift has approximately 10-50 employees.
What does OrbitShift do?
OrbitShift is a market intelligence and competitive insights platform that uses AI to aggregate, structure, and analyze signals from earnings calls, news, patent filings, regulatory submissions, and industry databases to help enterprise strategy teams track competitive dynamics in real time. The platform surfaces insights on competitor moves, technology shifts, and market entry signals that would require large analyst teams to monitor manually.\n\nThe company raised approximately $3M in Seed funding and targets strategy, business development, and product teams at large enterprises in BFSI, pharma, and technology sectors. OrbitShift's AI models are trained to identify strategically significant signals within high volumes of unstructured business data.\n\nMarket and competitive intelligence is a category where AI has substantial untapped value — large enterprises spend significant resources on manual research that produces infrequent and often outdated snapshots. OrbitShift's automated, continuous intelligence approach targets this inefficiency in a market that has seen limited India-specific product development despite deep local demand.