Learn how a startup accelerated their product development to support more customers in zero time with Knowledge Discovery (IDOL) SDK

In the dynamic and rapidly evolving field of cybersecurity, staying ahead of emerging threats is both a challenge and an opportunity. One of the most promising yet challenging aspects of this era is prompt engineering, which requires innovative solutions and strategic partnerships to effectively address new attack surfaces.

The Challenge:

For a technology startup, the race to market is a sprint, not a marathon. The company faces three critical challenges:

1. Time-to-Market - The primary challenge for a startup is minimizing the time-to-market to establish a competitive edge. Overcoming this involves rapid development and deployment of solutions while maintaining high quality and reliability.
2. Achieving global data classification coverage - Comprehensive data classification is crucial for compliance with varying international regulations and standards. The challenge encompasses implementing robust data classification systems that adhere to global regulations such as GDPR, CCPA, HIPAA, PIPEDA, LGPD, POPIA, and other regional data protection laws.
3. Supporting file type diversity - Supporting a wide range of file types is essential to meeting diverse customer needs and ensuring the solution's broad applicability. The challenge of file type diversity involves building scalable and interoperable systems that accurately recognize and completely extract the contents (text, metadata, and sub-files) of a wide range of structured and unstructured file formats to meet diverse customer needs and ensure seamless integration across various platforms.

To tackle these challenges, the startup chose to partner with OpenText, selecting the Knowledge Discovery (IDOL) SDK for its robust capabilities and swift integration. As a robust, proven technology trusted by most of the largest security software providers, the Knowledge Discovery (IDOL) SDK offered this startup a reliable foundation to enhance its product's data processing and analysis capabilities.

Why Knowledge Discovery (IDOL) SDK?

1. Full Global Data Classification Coverage - Data classification is not just about sorting data; it's about ensuring compliance with many global regulations. The Knowledge Discovery (IDOL) SDK offers comprehensive coverage for data classification, addressing regulations across different regions. This global coverage ensures that the startup's solution complies with international standards, providing peace of mind to their customers. 
2. Support for Over 2,000 File Types - In today's digital world, data comes in various formats. The Knowledge Discovery (IDOL) SDK supports over 2,000 file types, ensuring the startup can handle a wide array of data formats seamlessly. This extensive file type coverage means the startup's solution can cater to diverse customer needs in different geographies and industry verticals, enhancing its market appeal.
3. Redirecting R&D Focus - By leveraging the Knowledge Discovery (IDOL) SDK, the startup's R&D team can redirect their focus towards enhancing application functionality instead of wrestling with the intricacies of different data classification types and file formats. This strategic shift allows them to innovate and improve their product's core features, delivering superior value to their customers.
4. Almost Zero Integration Time - One of Knowledge Discovery (IDOL) SDK's most significant advantages is its seamless integration. The startup could integrate the SDK into their product in almost no time, accelerating their time to market. This quick integration meant they could start focusing on core business functionalities immediately without being bogged down by the technical complexities of data classification.

The Value of Partnership

Partnering with Knowledge Discovery (IDOL) SDK has provided the startup with significant value, propelling them forward in the competitive cyber GenAI landscape. The nearly instantaneous integration, comprehensive data classification coverage, extensive file type support, and the ability to focus on core functionalities have collectively empowered the startup to:

1. Accelerate Time-to-Market:  By rapidly integrating the SDK, they could launch their product sooner, gaining a competitive edge.
2. Ensure Global Compliance:  With full coverage of global data classification regulations, they could cater to an international clientele confidently.
3. Enhance Product Capabilities:  By supporting a vast array of file types, they could offer a versatile solution that meets varied customer needs.

Innovate and Improve: Freed from the complexities of data classification, their R&D team could focus on innovating and refining their application.

Financial Metrics:

1. Cost Savings:  The rapid integration and comprehensive support of Knowledge Discovery (IDOL) SDK reduces the need for extensive in-house development and compliance teams, saving the startup significant operational costs.
2. Revenue Growth:  By entering the market faster and offering a more robust product, the startup could attract more customers, leading to increased sales and revenue.
3. Return on Investment (ROI):  The partnership with Knowledge Discovery (IDOL) SDK provided a high ROI by minimizing development costs, ensuring compliance, and enabling the startup to tap into a broader market base more quickly.

Conclusion

In the hottest era of cyber GenAI, startups must navigate numerous challenges to succeed. This startup has demonstrated that a strategic partnership, like the one with Knowledge Discovery (IDOL) SDK, can be a game-changer. By leveraging the robust capabilities of Knowledge Discovery (IDOL) SDK, they have not only met their challenges head-on but have also positioned themselves as a formidable player in the cybersecurity landscape.

As they continue to innovate and grow, this startup is a testament to the power of strategic partnerships and the importance of focusing on core strengths.

Stay tuned to see how this startup continues to evolve and shape the future of cybersecurity in the GenAI era.

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The OpenText Content Services team