Jayaprakash Nair, Head of AI & Analytics at Altimetrik, is steering the company’s bold push into enterprise AI at a time when organizations are grappling with the twin challenges of trust and scale.
As artificial intelligence shifts from experimentation to enterprise adoption, organizations face mounting pressure to balance innovation with trust, speed, and measurable impact. Altimetrik, recently recognized by ISG as a “Product Challenger” across AI, data modernization, and advanced BI, has emerged as a strong player in shaping enterprise-ready AI frameworks. Behind that recognition lies a leadership vision centered on pragmatic execution, differentiated innovation, and a deep commitment to trust.
Elevating Enterprise AI Strategy
Altimetrik’s rise in the AI & Analytics space was no accident. The company’s approach was anchored on two clear trajectories: Table Stakes and Differentiators. Table Stakes ensured reliable delivery of foundational AI, data modernization, and BI capabilities—meeting client expectations without compromise. Differentiators addressed the sharper question: “Why Altimetrik?”
Here, the company leaned on unique capabilities, industry-specific insights, and innovative models that set it apart. Beyond building offerings, Altimetrik invested in scalable frameworks, repeatable methodologies, and cross-functional collaboration, ensuring that solutions consistently delivered measurable business outcomes. This dual emphasis on reliability and innovation was instrumental in ISG’s recognition.
From Prototype to Production: The ALTI AI Adoption Lab
One of Altimetrik’s flagship initiatives is the ALTI AI Adoption Lab in Bengaluru, built on a “lab-to-factory” model that accelerates time-to-value by over 30%. The lab has already produced a series of compelling solutions:
- Domainforge – A platform for domain-specific language models, offering low-code tools for enterprise-grade performance.
- ADAF (Agent Development and Assessment Framework) – Embedding safety, explainability, and auditability into the agent lifecycle.
- ADP (Agentic Document Processing Engine) – Enabling scalable document processing across industries, with a key use case in KYC automation for a multinational bank.
- Safeprompt – Protecting against negative prompt injection with real-time scanning and compliance alignment.
- LLM Benchmarking Dashboard – Aggregating benchmarking data across 200+ models for robust performance tracking.
By design, most of these solutions are domain-agnostic and can be tailored across verticals, ensuring enterprise scalability. The lab’s “prototype to production” philosophy has become a cornerstone of Altimetrik’s ability to deliver enterprise-grade readiness with measurable business impact.
Building Trust in AI with Governance
Trust remains the central barrier to enterprise AI adoption, particularly in regulated domains like banking and pharma. Altimetrik’s guiding principle at the ALTI AI Adoption Lab is cautious optimism: recognizing AI’s promise while directly addressing its risks.
Tools such as SafePrompt safeguard against prompt injection, while ADAF integrates explainability and auditability across agent lifecycles. Domainforge further enables secure, low-code development of domain-specific LLMs aligned with compliance standards. By combining governance-first design with innovation, Altimetrik ensures that AI solutions are not just performant but also trustworthy, compliant, and reliable.
AI for Organizational Culture: The Empulse Framework
In 2023, Altimetrik launched Empulse, a generative AI framework analyzing unstructured HR data to generate 360° sentiment insights. By transforming employee feedback and external forums into structured sentiment, intent, and emotion insights, Empulse addressed common GenAI challenges like hallucinations.
The impact has been twofold: industry recognition for its innovation, and broader adoption of AI-powered frameworks for culture and change management. Empulse gave HR teams the intelligence to foster continuous improvement, setting a precedent for how GenAI can shape workplace culture.
Scaling AI Talent and Culture
Altimetrik understands that an AI-first strategy requires an AI-native workforce. Its capability-building programs span four categories:
- Upskilling AI/ML engineers with the latest tools.
- Cross-skilling non-AI engineers to integrate AI into existing domains.
- Career transition tracks for engineers moving into full-time AI roles.
- Cross-skilling business teams to adopt AI in daily workflows.
This pragmatic, modularized training ensures professionals evolve not only with the skills but also with the mindset to embed AI effectively in decision-making.
Enterprise AI Playbook: Incremental Wins
Altimetrik’s Digital Business Methodology rejects multi-year, monolithic AI programs in favor of incremental, product-centered delivery. By sequencing AI initiatives based on business value, data readiness, and feasibility, the company delivers both quick ROI and strategic long-term outcomes.
This approach addresses not only technical debt but also business debt, streamlining delivery and ensuring AI investments remain tightly aligned with enterprise objectives.
The Road Ahead: AI Beyond 2025
Looking forward, Altimetrik sees AI’s next frontier as augmentation rather than replacement—turning humans into “superhumans” with intelligent assistants. These assistants enhance decision-making, productivity, and creativity, seamlessly integrated through multimodal AI and continuous AIops.
However, the company emphasizes caution in high-stakes domains like finance and healthcare, drawing a critical line between AI that empowers humans and AI that replaces human judgment. Governance and ethics, Altimetrik argues, must anchor every solution at this frontier.
Advice for the C-Suite
For executives navigating the enterprise AI landscape, Altimetrik offers three imperatives:
- Align AI with business goals – Avoid building solutions in search of problems.
- Invest in data foundations – Reliable, clean, governed data is non-negotiable.
- Foster culture transformation – Manage role evolution proactively to maximize human intellect where machines cannot compete.
These imperatives, Altimetrik insists, ensure AI becomes more than hype—embedding meaningful, measurable outcomes into the DNA of organizations.