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Since our launch, the excitement has been palpable. The response from design partners, early customers, and the broader community has been overwhelmingly positive. From day one, we’ve worked closely with forward-thinking companies to validate our mission—helping engineering teams navigate the complexities of modern software with the power of AI. This alignment on high-impact problems, like the balancing act between feature velocity and operational stability, means Resolve AI is hitting the mark in an increasingly complex landscape.
Early on, we committed to collaborating with design partners who could help us build Resolve AI for real-world impact. My experience with previous startups taught me the value of choosing the right early partners. As Steve Blank says, “getting out of the building” is the key to building a product that addresses actual needs rather than hypothetical ones.
At Resolve AI, we took a systematic approach to these early partnerships, prioritizing companies and teams with clear value drivers across different levels—from C-level tech leaders to engineering teams. Our previous startup, Omnition, demonstrated how powerful this approach could be, leading to a 100% conversion rate post-launch and meaningful revenue within six months. This success underscored the importance of building alongside customers rather than in a vacuum.
The response to Resolve AI post-launch has been immense, with active interest from a diverse mix of companies—scaling startups, digital-native organizations, and established Fortune 1000 enterprises. We’re engaging with technology leaders at every level: C-level executives, platform and engineering leaders, and principal engineers who share our vision for AI-driven software operations. This early demand is incredibly validating, with over 100 demos already given and interest from industry analysts and VCs alike. It’s clear that we’re addressing a high-impact problem that resonates.
Selecting design partners isn’t just about early traction; it’s about ensuring long-term success. Our design partners have helped shape Resolve AI by validating critical capabilities and pushing us to meet the demands of complex, enterprise-grade environments. We chose partners who could support our vision in four key areas:
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Operational Excellence
We sought out companies that already set a high bar for reliability and operational maturity. These are the organizations with structured incident management, documented processes, and rigorous metrics—companies that demand visionary, not incremental, improvements. This pressure drives us to deliver transformative value that stands up to real-world scrutiny.
Scale
Resolve AI’s capabilities shine in high-complexity, high-scale environments, and we targeted design partners operating at this level. From infrastructure to deployments, these partners gave us the opportunity to test Resolve AI in production at scale, helping us fine-tune its capabilities to handle complex operational challenges.
Organizational Complexity
Large engineering teams bring their own set of challenges, from specialized roles to siloed knowledge. Our design partners reflect this organizational scale, allowing us to build a product that addresses the operational fragmentation often seen in such environments. These insights enable us to deliver features that drive collaboration and efficiency across specialized teams.
Security
Security is paramount for many of our customers, especially those in regulated industries. By partnering with security-focused organizations, we’ve prioritized a security-first approach from the start, building governance and compliance capabilities into Resolve AI to meet enterprise-grade standards.
Our collaboration with design partners goes deep. We engage with them on strategic priorities and build with customer-centric engineering principles. This means working in the trenches to solve real problems alongside their engineering teams, setting clear milestones, and ensuring progress that aligns with each customer’s unique objectives. The result is a product shaped by real-world challenges and the insights of practitioners.
To support our vision and scale, we’re building a team with competencies that allow us to drive awareness and engage meaningfully with customers:
• Driving awareness of AI’s potential in software operations through outreach, educational content, and industry conversations.
• Learning from customers by meeting them where they are, including at tech conferences and events where we can discuss their challenges and priorities firsthand.
• Solving hard problems such as creating agentic systems that automate complex workflows and capture critical knowledge in ways that empower engineering teams.
It’s an exciting time for Resolve, and we’re just beginning. We’re hiring and looking for talented individuals who are passionate about AI, software operations, and tackling impactful challenges. If you’re interested in joining a team that’s pushing the boundaries of software operations, come build with us!
