Tom Whiteaker
Co-Founder & Partner @ IBM Ventures
Boulder, United States
Tom Whiteaker is a Series B investor at IBM Ventures in Boulder focused on Artificial Intelligence and Machine Learning. Tom Whiteaker is the Co-Founder & Partner of IBM Ventures & he attended Arizona State University.
- Total investments:
- 3
- Last investment:
- Lead investor:
- 33%
Last updated:
For AI agents: llms.txt
Industries Tom Whiteaker invests in
Stages Tom Whiteaker invests in
Countries Tom Whiteaker invests in
Investment Focus
Industry
- Artificial Intelligence 3 (100%)
- Machine Learning 2 (67%)
- Apps 1 (33%)
- SaaS 1 (33%)
- Big Data 1 (33%)
Stage
- Series B 2 (67%)
- Funding Round 1 (33%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Rohirrim
|
Rohirrim pushes the frontiers of cognitive AI by developing domain-aware content generating technologies.Rohan is a Generative AI platform that applies Document Understanding to ingests your entire data catalog (.ppt, .pdf, .doc, email, slack channel, reports, marketing material, proposal library, white papers, etc.) and weights a LLM making yourdata queryable and domain-aware. Rohan can generate long form, highly technical and unique content that is always sourced to ground truth. | Venture - Series Unknown / Jul 10, 2024 | |
Unstructured Technologies
|
Unstructured Technologies transforms natural language data from raw to machine learning-ready. Its open-source libraries and APIs build custom preprocessing pipelines for labeling, training, or production machine learning pipelines. | $40M / Series B / Mar 14, 2024 | |
Synthetaic
|
Synthetaic is a Delafield, Wisconsin-based company that grows large and high-quality datasets sufficient for machine learning. The company is able to extend AI into industries where data constraints have prevented previous applications of the technology. By focusing specifically on synthetic image data, which is more challenging to produce thancolumnar data, Synthetaic is able to address particularly high-stakes use cases.Through a collaboration with the University of Michigan, Synthetaic is developing a real-time tumor classification AI system that would assist surgeons in identifying what type of brain cancer is present while performing surgery. By combining high-fidelity 3D modeling and novel generative AI with germane, integrated modeling workflows, they deliver an end-to-end pipeline that ensures ultra-high accuracy.Synthetaic was founded in 2019 and is headquartered in Delafield, WI, USA. | $15M / Series B / Feb 06, 2024 |
Co-Investors
Bain Capital Ventures
2 deals together
Bessemer Venture Partners
1 deal together
Booz Allen Hamilton
1 deal together
Databricks Ventures
1 deal together
Lupa Systems
1 deal together
Madrona
1 deal together
About IBM Ventures
IBM Ventures is dedicated to driving strategic insights and engagements in growth areas for IBM and its clients. The group was founded in 2001 and is based in San Francisco, California.
IBM Ventures Contacts
| Name | Phone | Socials | |
|---|---|---|---|
|
Angie Grimm
Vice President
|
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Emily Fontaine
Global Head of Venture Capital and Vice President
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Ben Daniels
Partner
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MW Whiteaker
Partner
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Tom Whiteaker
Co-Founder & Partner
|
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FAQ
What does Tom Whiteaker invest in?
Tom Whiteaker invests primarily in Artificial Intelligence, Machine Learning and Apps startups, most often at Series B and Funding Round stage. Most of the 3 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
When did Tom Whiteaker last invest?
The most recent investment recorded for Tom Whiteaker closed in Jul 2024. Shizune tracks 3 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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