AI services startup Aivar Innovations has raised $4.6 million in seed funding to scale enterprise adoption of artificial intelligence. The round was led by Sorin Investments, with participation from Bessemer Venture Partners, reflecting strong investor confidence in execution-focused AI services. The capital will be used to expand Aivar’s footprint across India, the United States, and the Middle East, while strengthening its ability to deliver production-ready AI solutions for enterprises.
Funding and Growth Strategy
According to Co-Founder and CEO Kousik Rajendran, the funding is intended to support rising enterprise demand rather than sustain operations. He noted that while interest in AI adoption is accelerating, enterprises often lack partners capable of translating pilots into real-world deployments. The new capital will be directed toward hiring senior talent, expanding delivery capacity, and developing proprietary AI accelerators that can be deployed across multiple client environments.
Company Overview
Founded in 2024 by four former AWS professionals, Aivar positions itself as an AI-first services company focused on operationalizing AI within core enterprise workflows. Rather than building standalone models, the company integrates AI into existing systems, data pipelines, and processes. Since inception, Aivar has onboarded more than 80 enterprise customers, working with organizations seeking to move from experimentation to scalable, production-grade AI implementations.
International Expansion
While the company currently serves clients primarily from India, it is actively expanding its presence in the US and Middle East. Aivar has been investing in international sales and delivery capabilities to support enterprises operating across multiple geographies. Rajendran emphasizes that global enterprises require execution partners who can deploy AI reliably across regions, compliance environments, and legacy systems.
AI-Driven Service Model
Aivar operates as an AI studio, managing the full lifecycle of enterprise AI projects, from use-case identification and prioritization to deployment and ongoing optimization. Its approach focuses on outcome-driven delivery, helping organizations embed AI into business-critical functions rather than treating AI as a standalone technology layer.
Internal AI Adoption
The company applies AI extensively within its own operations, using automation and intelligence across delivery and project workflows. This internal adoption is designed to improve speed, efficiency, and consistency, allowing Aivar to scale client engagements while maintaining execution quality.
Addressing Enterprise AI Gaps
Aivar’s founding team identified a recurring pattern in enterprise AI initiatives: budgets and access to models were rarely the constraint. Instead, failures typically occurred when AI systems had to integrate with real-world data, infrastructure, and business processes. As a result, Aivar positions itself as a full-stack execution partner, bridging the gap between AI experimentation and real operational impact.
AI Studio and Accelerators
The company has developed a suite of proprietary accelerators, including Convogent AI for conversational and voice-based workflows, Velogent AI for regulated process automation, and Kubogent AI for managing AI workloads on Kubernetes infrastructure. These accelerators are designed to shorten deployment timelines and enable repeatable, scalable implementations across enterprise environments.
With the new funding, Aivar plans to continue scaling its AI-native service model internationally, while building deeper expertise across AI, cloud, and enterprise systems. The company aims to support enterprises in moving decisively from AI pilots to production-ready solutions that deliver measurable business outcomes.