In an era where artificial intelligence is discussed in every boardroom, very few ventures focus on the uncomfortable but essential questions of CognifAI AI trust, safety, and accountability. CognifAI Solutions Pvt Ltd was born precisely at that intersection, where innovation meets responsibility, and where technology must stand up to scrutiny rather than let it slide past.
At the heart of this journey is Diana Priyadharshini Gnanapragasam, Co-founder, COO & CFO at CognifAI. With over 15 years of experience across global technology firms, Diana brings a rare blend of enterprise realism, governance insight, and operational clarity to the world of AI.
How It Started (Not with a Bang)
Diana’s professional path has been shaped by years of experience in large organizations, including Infosys and Tech Mahindra, where she worked across consulting, presales, and client solutioning roles. These experiences gave her a close view of how new technologies are adopted within regulated environments.
Her academic grounding from institutions such as LSE and BIM further strengthened her perspective on governance, finance, and strategy. Today, as a registered independent director and board advisor, she continues to work with leadership teams to ensure innovation does not come at the cost of accountability.
This mix of hands-on delivery and board-level thinking laid the foundation for CognifAI AI trust. COGNIFAI, a fast-growing AI company based in Ahmedabad, was co-founded by Hemang Naik (CEO), Romesh Sheth (CTO), and Diana Priyadharshini (CFO & COO).
From Frustration to Conviction
The idea for CognifAI AI trust did not come from a single moment of inspiration. Instead, it emerged from a pattern Diana and her co-founder friends witnessed repeatedly. Across pharma and life sciences and other domains, AI initiatives were either stuck in endless pilots or deployed without the safeguards needed in high-stakes environments.
Critical teams were managing complex workflows using spreadsheets and PDFs, even as data volumes exploded. Where AI was introduced, it was often generic and opaque, leaving quality and regulatory teams uneasy during audits and inspections.
The gap was clear. These organizations did not need another broad AI platform. They needed solutions that understood their domain, could be trusted in daily operations, and met regulatory expectations.
That realization became the driving force behind CognifAI AI trust. The mission was simple but demanding — build AI that life sciences teams could rely on, defend, and scale with confidence.
Solving Real Problems in High-Stakes Workflows
CognifAI AI trust focuses on areas where accuracy, traceability, and speed are non-negotiable. The company’s offerings span drug safety, clinical research, and enterprise adoption of responsible AI.
One of its flagship platforms, CoVigilAI, addresses medical literature monitoring. It automates global and local surveillance, supports ICSR triage, extracts entities, and enables causality assessment. What sets it apart is not just automation, but embedded quality checks, audit trails, and dashboards designed for pharmacovigilance teams who operate under constant regulatory oversight.
Another solution, CliniWiseAI, supports clinical operations by accelerating documentation workflows. From protocol creation to redaction of sensitive information, it helps teams move faster without cutting corners on compliance.
Beyond products, CognifAI also builds generative AI applications tailored for life sciences, including medical information support and safety intake workflows. These are designed to fit into existing systems seamlessly.
Designed for Humans, Built for Audits
What truly differentiates CognifAI AI trust is its philosophy. Its platforms are designed to support and strengthen human judgment. Role-based access, explainable outputs, and clear review mechanisms are part of the system by design.
This approach has delivered tangible results. Deployments have shown productivity gains of up to seventy percent in high-volume literature monitoring, while maintaining near-zero error rates. More importantly, these systems have earned the trust of teams who must stand by their decisions during audits and inspections.
Overcoming Skepticism and Complexity
Building trust in a market saturated with AI buzzwords was one of CognifAI’s earliest challenges. Pharma and life sciences leaders are rightly cautious, and promises alone were not enough.
The team invested heavily in pilots that demonstrated measurable improvements in safety workflows, backed by validation and transparency.
Integration posed another hurdle. Legacy systems, varied data formats, and global regulatory nuances required flexibility and patience. CognifAI AI trust addressed this by adopting open, API-driven architectures and forming strategic partnerships. Co-creation with early customers ensured solutions reflected operational reality rather than theoretical ideals.
Moments That Changed the Trajectory
The turning point wasn’t a press release. It was when a customer moved CoVigilAI from “interesting pilot” to “part of how we do safety every day.”
That shift — from experiment to essential — marked a change in how customers viewed the company, not as an innovation experiment, but as a critical component of their pharmacovigilance stack.
Achieving ISO 27001:2022 certification further reinforced this credibility. Together with the Ennov partnership, it signalled readiness to operate at a global scale and serve international life sciences organizations with confidence.
Looking Ahead with Clarity
CognifAI’s ambitions extend beyond a single product or sector. Over the next five years, the company aims to become a central hub for agentic and generative AI innovations, supported by strong quality and ethical leadership.
Plans include expanding into a full end-to-end pharmacovigilance suite, advancing toward more autonomous operations, and exploring new verticals such as insurance, BFSI, and FMCG. By leveraging a common AI platform and strong partnerships, CognifAI AI trust intends to scale without losing its focus on trust and governance.
One Thing Diana Tells Founders
“Entrepreneurship begins with depth rather than speed. Aspiring founders should focus on domains where problems are real and consequences matter. Trust, I believe, must be earned through results that stand up to scrutiny.
Ensure your team has complementary skills, enter into early partnerships, and seek measured growth. Success, in my view, is reflected more in long-term customer relationships than in rapid expansion alone.”
Staying Connected
To learn more about CognifAI and its work in responsible, domain-focused AI, visit:
Website: www.CognifAI.in | www.CoVigilAI.in
Connect with Diana on LinkedIn:
https://www.linkedin.com/in/dianapriyadharshini-ai-governance/
CognifAI’s story is a reminder that meaningful innovation often happens quietly — in the details that make technology trustworthy enough to use where it truly matters.
