GoKawiilZac Choi's Big Context tackles enterprise data readiness for AI agents
Zac Choi, founder of Big Context & Company and previously of String AI (acquired by a telecom partner), is building tools to make corporate data usable by AI agents rather than human users. He argues most companies' data infrastructure was designed for predictable human queries, not the scale and unpredictability of AI-driven work, leaving businesses unprepared to deploy AI effectively.
GoKawiil's interpretation of the reporting above, not reported fact.
As AI agents increasingly become primary consumers of business data, companies with poorly organized or 'dirty' data risk falling behind despite investing heavily in AI tools. Choi's approach reflects a broader industry shift toward treating data infrastructure as the real bottleneck for AI adoption, not the models themselves.
- Zac Choi previously built and sold String AI before founding Big Context & Company.
- Big Context aims to restructure enterprise data so AI agents, not just humans, can use it effectively.
- The company positions itself as an AI-native services firm delivering transformation work at software-like margins.
Designing Data-Intensive Applications" by Martin Kleppmann — If this founder's warning about messy data infrastructure hit home, Kleppmann's book is the go-to deep dive on building reliable, scalable, maintainable data systems. It walks through storage, replication, and stream processing in plain language, exactly the foundations AI agents need to actually read your company's data.
See Designing Data-Intensive Applications" by Martin Kleppmann on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: entrepreneur.com — Dan Bova, 2026-09-08
Published there as: “‘Dirty Data’ Is Hurting Your Company’s AI Strategy — Here’s How This Tech Founder Is Fixing It”
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