Akriti Dokania
InvestorPartner at Ridge Ventures
San Francisco, California
Writes $2M β $7M checks Β· typically $4.5M
About
Akriti Dokania is a Venture Partner at Ridge Ventures with a background in computer science, product management, and building a B2B business. She was previously an investor at Octopus Ventures on the Deep Tech pod, covering AI/ML automation through quantum computing, and held product management roles at Windows Security and Windows Edge, along with work on the Amazon Alexa team during her MBA. She holds a BS in Computer Science Engineering from the University of Michigan and an MBA from London Business School.
ContactΒ· self-published, not guessed
Invests in
AI & Machine LearningDeep TechQuantum Computing
Experience
- Ridge VenturesPartnercurrent2022 β presentSan Francisco Bay Area
- Several CompaniesAngel Investorcurrent2019 β present
- TatoBoard Member2025 β 2026
- CandosaBoard Member2024 β 2026
- Recall.aiBoard Member2023 β 2026San Francisco Bay Area
- Go AutonomousBoard Member2023 β 2026Copenhagen
- WireMockBoard Member2023 β 2026San Francisco Bay Area
- Channel99Investor2023 β 2026San Francisco Bay Area
- AeqiumBoard Member2022 β 2026San Francisco Bay Area
- ChiefMember2022 β 2026San Francisco Bay Area
- Octopus VenturesInvestor2018 β 2022London Area, United Kingdom
- TechstarsTech Stars Mentor2019 β 2022London, United Kingdom
- Forward Partners, London, UKInvestment Associate2017 β 2018London, United Kingdom
- AmazonSenior Product Manager2017London, United Kingdom
- CoderBhaiFounder & CEO2015 β 2017Kolkata Area, India; Noida Area, India
- MicrosoftProduct Manager, Windows User Experience Team2013 β 2015Redmond, Washington
- MicrosoftProduct Manager, Windows Security Team2012 β 2013Redmond, Washington
- University of MichiganSURE Research Fellow2010 β 2011Ann Arbor, MI
- University of MichiganTeacher Assistant - Mobile Programming Class2011Ann Arbor
- University of MichiganTeacher Assistant - Programming and Introduction to C++ (EECS 280)2010Ann Arbor
- AmazonSoftware Development Engineer, Amazon Web Services2011Seattle , WA
Skills & more
+3 more
EntrepreneurshipSocial EntrepreneurshipUser ExperienceLanguages Bengali Β· Hindi Β· Spanish
From Akriti's professional profile.
Deals Β· 1
Tato Technology Solutions Inc.Board seat
via Ridge Ventures Β· filed Sep 2025 Β· $6.4M raise
Attribution from SEC filings, press coverage, and firm rosters.
Other disclosed investments
Board seats
Per SEC Form D filings.
Colleagues at Ridge Ventures
Network10
Investors connected to Akriti in public investor directories β a warm-intro map.
Frequently asked questions
- Who is Akriti Dokania?
- Akriti Dokania is a Venture Partner at Ridge Ventures with a background in computer science, product management, and building a B2B business. She was previously an investor at Octopus Ventures on the Deep Tech pod, covering AI/ML automation through quantum computing, and held product management roles at Windows Security and Windows Edge, along with work on the Amazon Alexa team during her MBA. She holds a BS in Computer Science Engineering from the University of Michigan and an MBA from London Business School.
- Where does Akriti Dokania work?
- Akriti Dokania is Partner at Ridge Ventures.
- What does Akriti Dokania invest in?
- Akriti Dokania invests in AI & Machine Learning, Deep Tech, Quantum Computing.
- What check size does Akriti Dokania write?
- Akriti Dokania typically writes checks of $2M β $7M.
- What boards does Akriti Dokania sit on?
- Akriti Dokania holds tracked board seats at Tato Technology Solutions Inc., Wiremock.
- Where did Akriti Dokania go to school?
- Akriti Dokania studied at London Business School (Master of Business Administration (M.B.A.)); University of Michigan (Bachelor's Degree, Computer Science Engineering).
Same school
Also attended London Business School541
+ 535 more
Also attended University of Michigan516
+ 510 more
Shared employers
Also worked at Candosa2
Also worked at Chief69
+ 63 more
Also worked at Amazon645
+ 639 more
Also worked at Microsoft1,188
+ 1,182 more




















































