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How Himalaya Wellness Transformed Research and Operations with AI
- 70% quicker turnaround for consumer studies
- 80% faster document processing with higher accuracy
- Hundreds of customer studies and research analysis per month
About the Client
Himalaya Wellness is a global wellness company with a heritage in natural products and a growing international footprint. Its growth depends on two things: timely consumer insights and efficient internal operations. Both had been limited by manual, resource-heavy processes.
Atlas was a true partner in developing HiGPT for our team. Their tailored solutions helped us derive insights faster, eliminate repetitive work, and access data more efficiently. It’s been truly time-saving and impactful.
— Team Himalaya Wellness
Challenges That Held the Team Back
The Himalaya Wellness team was spending too much time wrestling with information instead of using it.
Consumer research bottlenecks
- Interviews required translation across multiple languages
- Analysts rewatched the same recordings two or three times to capture details
- Preparing presentations added another round of review
- As a result, only two or three studies could be completed per month
Operational inefficiencies
- Knowledge was scattered across PDFs, Word files, Excel sheets, scanned images, and databases
- Employees spent hours searching, copying snippets, and piecing together content for routine questions
- Sharing files meant passing large documents around, leading to duplication and version issues
- Security was difficult to enforce, since not all employees should have access to every file
- Access had to be managed by department and role, ensuring that teams like R&D, IT, and Finance could view only the documents relevant to them
The Breakthrough: AI and Document Intelligence by Atlas Systems
Transforming Consumer Research
Atlas Systems introduced a language-agnostic AI platform that could process feedback in multiple languages without translation. Instead of rewatching recordings repeatedly, analysts received structured outputs in Excel-style tables where raw comments and synthesized insights appeared side by side.
The system even pulled out verbatims and snippets ready for executive presentations. Researchers could finally focus on interpreting insights rather than wrestling with transcripts.
Expanding to Enterprise Documents
Encouraged by these results, the client asked: “Can we do this across all our documents?”
Atlas Systems built a secure document and database intelligence platform that could read across PDFs, Word files, Excel sheets, scanned images, and structured databases. A standout capability was Excel parsing, where the system delivered not just raw numbers but business-analyst-style summaries and implications.
The solution ran in the client’s Azure environment with Active Directory authentication and role-based access controls, ensuring security and compliance. Employees could now query multiple documents at once and receive clear, citation-backed answers in seconds.