Quantstruct (https://quantstruct.com) is an AI-powered platform that automatically creates and improves product documentation, implementation guides, and changelogs for API & SDK products, web-based enterprise software, and internal business applications. Quantstruct uses multiple AI agents to identify gaps in documentation, test for validity and adherence to style guidelines, and even interact with enterprise software through a web browser—generating documentation enriched with screenshots and video recordings.
Quantstruct is delivered as a cloud service, primarily targeting technical writers, content teams, professional services, and product teams who manage complex or rapidly evolving documentation needs. The platform addresses common industry concerns: while traditional generative AI tools may hallucinate critical API or SDK fields (even with retrieval-augmented generation methods), and purely agent-based approaches can produce inconsistent results, Quantstruct enables organizations to onboard and customize AI agents to continuously improve their documentation, adapting to their unique review and publishing workflows.
How Was Quantstruct Started?
Quantstruct was founded by Sarthak Srinivas and Newman Hu, both with deep experience building AI agent platforms and large-scale search infrastructure. Sarthak previously led product for agent developer platforms at Moveworks, onboarding Fortune 100 companies and publishing thousands of documentation updates. Newman built mission-critical search infrastructure at Moveworks and Replit, powering generative AI experiences for Fortune 500 organizations. Both founders are published researchers and patent holders, with backgrounds from Georgia Tech and UC Berkeley. Quantstruct was part of the Y Combinator Winter 2025 batch.
What Problem Does Quantstruct Solve?
Quantstruct addresses the challenge of keeping technical documentation accurate, up-to-date, and tailored for developer and partner communities. As software products evolve, documentation often lags behind, leading to knowledge gaps and customer friction. Quantstruct’s AI agents continuously monitor product releases and customer queries, automatically identifying and filling documentation gaps—helping companies maintain high-quality, trustworthy technical docs with less manual effort.
Who Uses Quantstruct?
Quantstruct serves teams building API & SDK products, web-based enterprise applications, and platforms that require robust, developer-focused documentation. Early customers include fast-growing companies like Vapi and enterprises who prioritize nurturing developer and partner communities with up-to-date and bespoke documentation.
How Does Quantstruct Work?
The platform leverages AI agents to:
- Search existing knowledge sources and documentation for completeness and accuracy
- Test and validate documentation against style guidelines and product changes
- Interact with live software interfaces to capture screenshots and video recordings
- Identify knowledge base gaps triggered by product releases or customer queries
- Support custom review and publishing workflows for different organizations
This allows customers to automate much of the traditionally manual and error-prone documentation process, while retaining control over agent behavior and output.
Who Are Quantstruct’s Competitors?
Quantstruct competes with traditional documentation automation tools, generative AI platforms, and agent-based solutions for technical writing. However, it differentiates itself by combining multi-agent workflows with deep customization and integration into enterprise publishing processes—reducing hallucinations and unpredictable output seen in other tools.
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