Constellation Research has recognized Altimetrik as one of just 11 global firms leading in AI services, citing strengths in model training, generative AI, data governance, and responsible AI. With strategic collaborations across AWS, Microsoft Azure, Databricks, OpenAI, Sierra, and Snowflake, Altimetrik is shaping the next wave of AI-driven transformation.
Altimetrik helped LogicMonitor launch LISA, a GPT assistant built on ChatGPT Enterprise and AWS, cutting sales prep time by 85% and saving $1.97M annually.
Zilliant partnered with Altimetrik to launch ZAC, a secure GPT assistant on ChatGPT Enterprise and AWS, boosting support efficiency and accelerating onboarding.
Enterprises know the frustration: most AI models are built as generalists. They don’t understand industry nuance, compliance constraints, or the proprietary knowledge that makes your business unique. That’s why up to 80% of AI investments struggle to show meaningful impact because the models simply weren’t designed for your domain. DomainForge.ai changes the equation. This no-code platform allows subject matter experts not just data scientists to build smaller, smarter models trained on your organization’s own data. These right-sized Small Language Models (SLMs) capture real-world edge cases, delivering higher accuracy while cutting costs by as much as 90% compared to large generic models.
With built-in orchestration and retrieval-augmented intelligence, DomainForge.ai ensures your AI stays context-aware, grounded in enterprise knowledge, and deployable across your preferred environment on-prem, hybrid, or cloud. And because all training happens within your secure perimeter, your proprietary data stays private and compliant at every step.
Why settle for AI that doesn’t speak your language? With DomainForge.ai, your business gets intelligence that truly understands its world.
AI is fueling speed and creativity across enterprises, but every prompt typed into ChatGPT, Claude, or any LLM could pose a hidden risk. In high-velocity enterprise environments, sensitive information can be unintentionally exposed through everyday AI interactions.
Leading organizations are adopting prompt-level compliance by embedding controls into the user experience. These measures reinforce secure behavior while preserving productivity. This approach ensures that AI adoption aligns with enterprise-grade requirements for data protection, regulatory readiness, and operational integrity.
Ensure audit readiness while protecting what matters most: customer trust, proprietary data, and enterprise intelligence. Seamlessly integrate across cloud and private LLM environments. Deployable across Azure OpenAI, AWS Bedrock, Google Cloud AI, or your private LLMs, it adapts seamlessly to your infrastructure.
Responsible AI is no longer a policy. It is an embedded capability that must operate at scale.
What does it take to move AI from boardroom demos to enterprise-scale impact? At the UBS Asian Investment Conference 2025, Altimetrik CEO Raj Sundaresan joined UBS’s Nicolas Gaudois to explore how agentic AI is reshaping business from copilots that assist to autonomous agents that transform.
The big insight: while most enterprises are experimenting with AI, only 14% have reached production scale. The next wave is about building trust, scalability, and measurable value.
Enterprises today need more than software they need outcomes. Whether it's accelerating time-to-market, modernizing legacy systems, or enabling AI-first business models, the foundation is always the same: engineering excellence at scale.
Altimetrik’s approach to custom software development is grounded in:
This commitment to outcomes is why we’re featured in Gartner’s Vendor Identification Tool for Custom Software Development Services. The listing highlights providers with strong capabilities and global reach and we’re proud to be among them.
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