AI adoption across enterprises is accelerating, but execution continues to lag. While most organisations want to move faster on AI, cloud, and data transformation, very few are able to translate intent into production-grade systems that deliver real business outcomes.
AI is hard to implement at scale
Most enterprises face similar challenges when it comes to AI adoption:
- High execution complexity: Integrating AI into legacy systems, data pipelines, and cloud infrastructure requires deep technical expertise that most internal teams don’t have.
- Slow time to value: AI projects often remain stuck in pilots, taking months to reach production and delaying ROI.
- Non-scalable services models: Traditional services firms rely on bespoke delivery and headcount-led growth, which limits repeatability and consistency.
As a result, enterprises struggle to move from experimentation to reliable, scalable AI deployments.
Aivar approach: productised, AI-first services
Aivar takes a different approach from traditional IT services companies. Instead of automating existing workflows or treating every engagement as custom consulting, Aivar works closely with customers to rethink workflows end to end andand redesigning them ground-up.
Execution is productised through a growing set of AI accelerators, built from real customer deployments. These accelerators reflect Aivar’s core DNA of deep solutioning coupled with systematic productisation.
Their model combines:
- AI-first consulting focused on moving quickly from idea to production
- Reusable AI accelerators that reduce delivery time and execution risk
- Ongoing managed services across AI, data, and cloud infrastructure
This allows Aivar to deliver outcomes faster and more predictably, without the inefficiencies of a headcount-heavy services model. As a result, the business demonstrates software-like economics, with 70%+ gross margins.
Today, Aivar’s solution stack spans Kubernetes-based AI infrastructure, agentic process automation, and voice AI solutions. Over time, the company is building greater vertical depth within each accelerator, making them increasingly specialised and efficient, while also expanding horizontally by continuously identifying new enterprise AI use cases and converting them into additional accelerators through sustained R&D efforts.
Why we backed this team
In services-led businesses, execution quality is everything. Aivar is founded by Kousik Rajendran, Praveen Jayakumar, Ashwin Ram Ravichandran, and Aadarsh Ayyappan, all former senior leaders at Amazon Web Services (AWS).
The team brings a strong combination of hands-on experience building and scaling cloud and AI systems, a deep understanding of enterprise delivery environments, and long-standing relationships within cloud service provider ecosystems. These relationships help Aivar establish credibility early and gain a faster foothold across its customer base.
This gives Aivar a clear edge in winning complex mandates and scaling responsibly.
As enterprises move from AI experimentation to full-scale deployment, the demand for partners who can execute reliably will only increase. Aivar is well positioned to benefit from this shift.
We at Sorin Investments are excited to partner with Aivar as they build a global AI services platform focused on real, production-grade enterprise outcomes.
To learn more about Aivar’s solutions and offerings, please visit https://www.aivar.tech.
If you’re a founder building in the enterprise or AI ecosystem, write to us at pitch@sorininvestments.com.