Trusted by engineering and product leaders
CTOs, CIOs, and founders share what it’s like to build, modernize, and scale software and AI with Sphere — across fintech, AI governance, SaaS, and enterprise platforms.
“Their GenAI-powered workflows dramatically outperformed our previous manual and outsourced processes — creating meaningful enhancements across our product suite and a 79% reduction in recurring operational costs.”
“Using SphereIQ, we accelerated enterprise AI adoption while maintaining strong risk management and responsible generative AI governance at scale.”
Clients include






“Their GenAI-powered workflows dramatically outperformed our previous manual and outsourced processes and created meaningful enhancements across our product suite and AI strategy. Sphere combines deep technical expertise with strong business understanding, making them an exceptional partner for companies looking to operationalize AI and drive measurable ROI.
“Using SphereIQ, we accelerated enterprise AI adoption while maintaining strong AI risk management and responsible generative AI governance at scale. The AI Registry and Vendor Registry gave our teams centralized visibility and control across all AI use cases.
“Sphere built a secure and scalable AI infrastructure that allows us to capture institutional knowledge, protect sensitive data within our environment, and continuously expand our AI capabilities with confidence.
“Sphere AI's framework complemented our internal efforts — helping us enhance existing processes, reinforce risk management, and align our team and stakeholders around a governance model that can scale with our AI adoption plans.
In their own words
Ben Crawford
Senior PM, Enova Financial
Sheldon Gilbert
CEO, Proclivity Media
John Krauze
VP Product, Nextcapital
Steven Maloney
CEO, Pianoamigo
Ntiedo Etuck
CEO, Your Guru
Chirag Pancholi
CEO, WiseMuv
From CTOs, CIOs & product leaders
Using the SphereIQ AI Governance Platform, we were able to accelerate enterprise AI adoption while maintaining strong AI risk management and responsible generative AI governance at scale. Capabilities such as the AI Registry and Vendor Registry gave our teams centralized visibility and control across all AI use cases, helping ensure alignment with our governance frameworks, security standards, and compliance requirements. By partnering with Sphere Inc., we replaced manual oversight processes with an integrated and automated AI governance platform. Together, our teams centralized AI use case inventory management, automated governance assessments, and aligned AI workflows with existing IT, security, and compliance operations. SphereIQ's integrations improved lifecycle visibility across the organization, while executive dashboards and KPI reporting provided leadership with greater transparency into AI adoption progress, operational efficiency, and enterprise risk management.
Sphere AI's framework has complemented our internal efforts — helping us enhance existing processes, reinforce risk management, and align our team and stakeholders around a governance model that can scale with our AI adoption plans.
Sphere combined AI expertise with disciplined engineering execution. Their Precision-Driven Engineering framework helped us implement Generative AI in a secure, scalable, and standardized way across teams while accelerating modernization of a critical legacy platform. The result was faster delivery, stronger oversight, and measurable operational efficiencies.
Sphere approached AI transformation the right way — starting with workflows, data governance, and operational trust instead of simply deploying another AI tool. Their team built a secure and scalable AI infrastructure that allows us to capture institutional knowledge, protect sensitive data within our environment, and continuously expand our AI capabilities with confidence.
Sphere was a valuable partner in helping us advance our AI-native product lifecycle initiatives. Their combination of product thinking, engineering expertise, and execution discipline enabled the delivery of impactful solutions that improved our platform and accelerated innovation.
Sphere provided highly skilled Python, React.js, and QA Automation engineers who helped accelerate delivery timelines, improve SDLC efficiency, and support the successful execution of multiple strategic projects. What stood out most was their ability to quickly deliver well-matched engineering talent, integrate effortlessly with our internal teams, and maintain a proactive, trusted partnership throughout the engagement.
Sphere consistently demonstrated a high level of accountability, technical expertise, and executive partnership. Their team remained deeply invested in our business outcomes and successfully supported us through complex technology and operational challenges. Over time, Sphere became one of our most trusted partners for mission-critical initiatives.
Sphere brought exceptional engineering talent, strong execution, and a collaborative partnership approach to every engagement. Over the years, their team consistently helped us overcome complex technical challenges and deliver critical initiatives successfully.
Ready to work with a team that delivers?
Join 300+ companies that trust Sphere with their most complex engineering and AI challenges.