Avahi renews AWS collaboration pact for third year of AI deployments

The AWS Premier Partner's renewed agreement signals growing demand for cloud-native AI systems that move beyond proof of concept into production.

By Disrupts Editorial Team Wed, 21 October 2026 AI level 2 of 5

AI level 2 of 5: drafted by our AI editorial assistant from the company's announcement; fact-checked, edited and signed off by Mark Walker, Editorial Director. What the levels mean

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Avahi, a San Francisco-based cloud and AI services firm, has extended its Strategic Collaboration Agreement (SCA) with Amazon Web Services into a third consecutive year, expanding joint solution development, go-to-market support, and access to AWS-funded programmes. The renewal follows a 174.4% two-year revenue growth rate that placed Avahi at number 13 on CRN's 2026 Fast Growth 150 list, and the company reports it has grown its team 25-fold since founding in 2022 without drawing on outside capital.

The agreement deepens Avahi's position as an AWS Premier Tier Services Partner, covering competencies that span AI services, cloud migration, managed services, healthcare IT, and DevOps. For context, Premier Tier is AWS's highest partner designation, requiring validated customer outcomes and technical certifications across multiple specialisms.

From proof of concept to production

The case studies behind the renewal illustrate the tactical gap that Avahi says it fills: bridging enterprise intent to adopt AI with the engineering accountability to get those systems into production. For GE HealthCare, Avahi migrated the Genie enterprise AI platform from Microsoft's Azure OpenAI to Amazon Bedrock, completing the move without service interruption and deploying a new work-management agent before the migration was fully signed off. For Momentum Financial Services Group, the firm moved 91 virtual machines and more than 1,000 databases to AWS, projecting a 20% to 25% reduction in compute costs through reserved-instance optimisation. For myRiva, a corporate travel marketplace, Avahi built an Amazon Bedrock environment running Anthropic's Claude model to automate code review, which the client says produced a 40% to 50% development efficiency gain.

"We are realising about a 40 to 50% efficiency gain in our development," said Tim Krueger, Chief Technology Officer of myRiva. "For a company like myRiva, it's like adding members to our team, and that's just the start of the journey."

The wider migration race

Avahi's pipeline tells a story that extends well beyond a single partnership renewal. Enterprise migration away from multi-cloud or competitor AI platforms toward a single hyperscaler's native AI stack is accelerating, with AWS, Microsoft Azure, and Google Cloud all competing aggressively for what analysts describe as the second wave of cloud adoption: moving workloads that were built on one cloud's AI services onto another's. The GE HealthCare engagement, which shifted inference workloads from Azure OpenAI to Amazon Bedrock, is emblematic of a competitive dynamic playing out across healthcare IT, financial services, and logistics simultaneously.

For capital allocators watching the enterprise AI services segment, the Avahi model is a data point in a broader trend. Managed and professional services firms that can demonstrate production-grade AI delivery, rather than advisory or pilot work, are capturing a growing share of enterprise tech budgets as CIOs face pressure to show returns on AI spend. The company's bootstrapped growth rate makes it an outlier in a space that has attracted substantial venture and private equity capital; that it has scaled without external funding may attract attention from growth-equity investors scanning the market for cash-generative AI services platforms.

Looking ahead, Avahi says it will expand reusable AI delivery frameworks, pursue more migrations from competing cloud and AI platforms, and bring eligible customers into AWS-funded programmes. The practical question for the broader market is whether the partner ecosystem model, in which a hyperscaler co-invests with a specialist integrator to accelerate customer migrations, becomes the dominant go-to-market structure for enterprise AI adoption in the 2026 to 2028 window.